Skip to main content

REVIEW article

Front. Vet. Sci., 09 October 2020
Sec. Veterinary Infectious Diseases
Volume 7 - 2020 | https://doi.org/10.3389/fvets.2020.00620

Antimicrobial Resistance in Agri-Food Chain and Companion Animals as a Re-emerging Menace in Post-COVID Epoch: Low-and Middle-Income Countries Perspective and Mitigation Strategies

  • 1ICAR-Indian Veterinary Research Institute, Eastern Regional Station, Kolkata, India
  • 2Department of Veterinary Microbiology, West Bengal University of Animal and Fishery Sciences, Kolkata, India

Antimicrobial resistance (AMR) leads to enormous financial losses from issues such as high morbidity, mortality, man-days lost, hospital length of stay, health-care, and social costs. In humans, over prescription of antimicrobials, which is presumably higher during COVID, has been identified as the major source of selection for antimicrobial resistant bacteria; however, use of antimicrobials in food and companion animals, fish, and vegetables, and the environmental resistance gene pool, also play important roles. The possibilities of unnecessary use of antibiotics as prophylaxis during and after COVID in livestock and companion animals exist in low-and middle-income countries. A considerable loss in gross domestic product (GDP) is also projected in low-and middle-income countries (LMICs) due to AMR by the year 2050, which is further going to be reduced due to economic slowdown in the post-COVID period. Veterinary hospitals dedicated to pets have cropped up, especially in urban areas of LMICs where use of antimicrobials has also been increased substantially. The inevitable preventive habit built up during COVID with the frequent use of hand sanitizer might trigger AMR due to the presence of cross-resistance with disinfectants. In LMICs, due to the rising demand for animal protein, industrial food animal production (IFAP) is slowly replacing the small-scale backyard farming system. The lack of stringent regulations and monitoring increased the non-therapeutic use of antimicrobials in industrial farms where the persistence of antimicrobial resistant bacteria has been associated with several factors other than antimicrobial use, such as co-resistance, cross-resistance, bacterial fitness, mixing of new and old animals, and vectors or reservoirs of bacterial infection. The present review describes types of antimicrobials used in agri-food chains and companion animals in LMICs with identification of the gap in data, updated categories of prevalent antimicrobial resistant bacteria, the role of animal farms as reservoirs of resistant bacteria, and mitigation strategies, with a special focus on the pivotal strategy needed in the post-COVID period.

Introduction

Human and animal populations are at risk of cross-transmission of zoonotic bacteria via direct contact due to close proximity with food animals, companion animals, live wildlife markets, environmental contamination, and the intake of contaminated animal origin food items. The situation becomes more complicated due to cross-transmission of antimicrobial resistance (AMR) determinants along with the infection. In humans, over prescription of antimicrobials is the major source of selection for antimicrobial resistant bacteria, but use of antimicrobials in food animals and, moreover, the environmental resistance gene pool (“resistome”) also play important roles in this complex multi-factorial state of affairs. Recently, the bacteriostatic antimicrobial (azithromycin) was recommended in synergism with hydroxychloroquine against SARS-CoV2 in treatment protocols in several countries despite the dearth of precise clinical evidence (1, 2). The recent systematic review revealed use of antibiotics in 70% of COVID patients, mostly in Asian countries, although only 10% of them had a bacterial co-infection (3). Even the World Health Organization (WHO) warned against the overuse of antibiotics during the pandemic with the statement: “The COVID19 pandemic has led to an increased use of antibiotics, which ultimately will lead to higher bacterial resistance rates that will impact the burden of disease and deaths during the pandemic and beyond” (4). The Post-COVID epoch may add complexities to the AMR perspective, as antibiotics might be considered as a prophylactic measure among the community, especially in LMICs where antibiotics are easily available at the counter without prescriptions (5). The manufacturers of azithromycin are already facing difficulties to meet the ever-increasing demands (6). Prophylactic antimicrobial therapy in food and companion animals may witness a steep rise during and after the COVID episode, particularly in LMICs, even if it is not recommended in many countries (7). The situation becomes catastrophic as the companion animal practitioners prefer human antibiotics for their better quality and easy availability.

AMR leads to enormous financial losses associated with high morbidity, mortality, man-days lost, hospital length of stay (LOS), direct health-care costs, and the social costs of infection (8). About 700,000 deaths per year were attributed to AMR alone, which is more than the toll caused by malaria, acquired immunodeficiency syndrome (AIDS), and tuberculosis (9). The World Health Organization (WHO) identified eight pathogens relevant to AMR, including five bacteria (Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Neisseria gonorrhoeae, and Mycobacterium tuberculosis) (10). Among them, third-generation cephalosporin-resistant and carbapenem-resistant Enterobacteriaceae (CRE, e.g., Escherichia coli and Klebsiella pneumoniae) alone were reported to cause 6.4 million bloodstream infections and 50.1 million serious infections worldwide in a year (11). A recent estimate suggested 33,000 annual deaths due to AMR in the European Union and European Economic Area (12). Additional treatment costs and losses due to methicillin-resistant Staphylococcus aureus (MRSA) and third-generation cephalosporin-resistant and ESBL-producing Enterobacteriaceae ranged between 1,732 and 9,726 USD and 2.54–6.8 days per case, respectively (8). For the United States alone, average national health care expenditure was estimated at around 2.2 billion USD due to AMR (13).

Addressing AMR in developing countries was considered crucial by the United Nations to achieve sustainable development goals (SDGs) associated with poverty and hunger alleviation and the improvement of health and economic growth (14). In LMICs, the current rate of AMR-related infections is high and is projected to grow more rapidly than in developed countries. A substantial portion (40–60%) of human bacterial infections in Brazil, the Russian Federation, and India is associated with resistant bugs in comparison to developed countries (17%) (15). In LMICs, the direct and prominent effects of AMR include increased mortality, in addition to higher morbidity and economic losses (16). The recent projection about the financial vulnerability of LMICs revealed that an additional 19 million people are going to fall into great poverty by 2030 due to AMR producing direct impacts on labor productivity (neat GDP produced by 1 h of labor) and increased health care costs (17). A considerable loss in GDP is also projected in low-income countries due to AMR by the year 2050, which is further going to be reduced due to economic slowdown in a post-COVID scenario (18).

The present review describes types of antimicrobials used in food animals, companion animals, aquaculture, and vegetables in LMICs, categories of prevalent antimicrobial-resistant bacteria in LMICs, the role of industrial and backyard farms as a reservoir of resistant bacteria in LMICs, and mitigation strategies with special reference to a post-COVID scenario.

Definitions and Uses of Antimicrobials

Antimicrobials (AM) are substances of natural, semisynthetic, or synthetic origin that kill or inhibit the growth of a microorganism but cause little or no damage to the host cells. Antibiotics (AB) are low molecular weight antimicrobials produced by a microorganism that at low concentrations inhibit or cause lysis of other microorganisms. WHO made a list of medically important antimicrobials (MIA) and classified them into three categories, critically important antimicrobials (CIA, highest priority CIAs and high priority CIAs), highly important antimicrobials (HIA), and important antimicrobials (IA), based on five criteria (19). Similarly, the World Organization for Animal Health (OIE) determined the degree of importance for classes of veterinary antimicrobial agents based on antimicrobial class, use in treatment of serious animal diseases, and availability of alternative antimicrobial agents (20). Different classes of important veterinary antimicrobials, mechanism of action, indication, and mechanism of resistance are described in Tables 1, 2.

TABLE 1
www.frontiersin.org

Table 1. Characteristics of selected veterinary important antimicrobials.

TABLE 2
www.frontiersin.org

Table 2. Characteristics of selected veterinary important antifungals.

Use of Antimicrobials in the Agri-Food Chain and Companion Animals

Vegetable Production

Some antibiotics are used to protect profitable fruits, vegetables, ornamental plants, and crops from bacterial diseases. The manure used in green houses and soils acts as an additional source of antimicrobial residue for fruits and vegetables which should be treated before direct use (manure composting or aerobic treatment). Although the studies could not detect any AMR-associated bacteria in vegetables as such (23), residues of tetracycline, virginiamycin, tylosin, monensin, and sulfamethazine could be detected in vegetables (24) and in green-house soil following manure application (25). The untreated irrigation water used for the production of vegetables, fruits, and crops was identified to contain AMR determinants (tet, pAmpC) in South Africa, which is an indirect indication, although the precise AMU data for vegetable production is not available in LMICs (26).

Food Animals

In food animals, antimicrobials are used for several purposes such as therapy, prophylaxis, metaphylaxis, and promotion of growth. Therapeutic usage of antimicrobials is difficult to discontinue, as it not only saves the animal's life but also decreases the zoonotic pathogen load in the environment and reduces methane production by livestock (monensin) (27). Nevertheless, the use of CIAs should be optimized and should only be allowed only in emergency or special infectious conditions, like higher generation or potentiated cephalosporins (cefoperazone, ceftiofur, ceftriaxone, cefquinome) in the treatment of septicemias, respiratory infections, and mastitis; aminoglycosides in septicaemias, severe digestive, respiratory, and urinary tract infections and in Pseudomonas aeruginosa infections; fluoroquinolones in the treatment of septicaemias, respiratory, and enteric diseases; and macrolides in Mycoplasma infections in pigs and poultry, Lawsonia intracellularis in pigs, and hepatic abscess in cattle due to Fusobacterium necrophorum [Table 1, (28)].

Use of colistin, the last resort antibiotic in human medicine, in poultry and pigs in China recently caused the emergence of colistin-resistant bacteria possessing the novel resistance gene mcr-1 (29). Furthermore, other variants of mcr were found in animals and humans, viz., mcr-2, mcr-3, mcr-4, and mcr-5 (30). China and India recently banned the use of colistin as a growth promoter in food animals (31, 32). Prophylaxis or prevention is the administration of antimicrobials to healthy animals considered to be at risk to prevent the future occurrence of infection, while the prophylactic use in healthy food animals, including poultry, is not yet scientifically validated (prohibited in Europe), except in blanket therapy. Prophylactic antibiotic use should not be a substitute for improper biosecurity and inadequate husbandry conditions of the farms. Metaphylaxis refers to the use of antimicrobials in the infected and healthy but at risk animals of the same herd to prevent the spread of the infection. It is preferred in large herds where separation of healthy animals from infected ones is difficult based on clinical signs and rectal temperature (33).

The growth promotion effect of antimicrobials in animals is doubtful as it is observed that satisfactory effects can be produced only during the early stages of animal production or in sub-optimal hygiene conditions (34). Many non-MIA, such as bacitracin, bambermycins, and carbadox, are currently used for growth promotion. Although following the immediate ban of antibiotics as growth promoters in Europe, a few clinical conditions, such as post-weaning scours, occurred in pigs with higher frequency (35). The meta-analysis showed that the restriction of antibiotics as growth promoters in animals reduced the occurrence of antimicrobial-resistant bacteria in animals and humans having close contact with the animals, but the analysis could not reveal the effect on the community (36). Other studies could not establish any strong evidence that the restriction of antibiotic use in animals reduced the occurrence of antimicrobial-resistant bacteria in the human population (37).

Use of MIA in animals for growth promotion, prophylaxis, and even metaphylaxis is considered as inappropriate antimicrobial usage (IAMU) by international agencies such as the World Health Organization (WHO), Food and Agricultural Organization (FAO), and World Organization for Animal Health (OIE). Recently, WHO recommended complete cessation of MIA use in healthy animals for prophylaxis or growth promotion (19). Among the MIA sold for animal production, tetracycline and penicillin constitute 32% and 6% of total sale on weight basis in the United States, 29% and 25% in European Union, 51% and 8% in Canada, 47% and 12% in Japan, and 9% and 9.8% in Australia, respectively. Cephalosporins are the MIA used with the lowest share (> 1%) among the sold antibiotics for animal production in the studied countries (38). Non-therapeutic antimicrobial use is common among food animals, like prophylactic intramammary antimicrobial infusion in the form of penicillin or β-lactam in dairy animals, macrolides in beef feedlot cattle for respiratory illness, and tylosin in beef calves to prevent liver abscesses. Likewise, tylosin and tetracyclines are common antibiotics used as feed additives in 88% of the growing pigs in the USA (39). In the USA, about 74% of farm-animals that received antibiotics were in feed and 21% in the drinking water, and the sale of medically important antibiotics was three-time higher in the animal sector than in human beings (40). There is a considerable deficit of data on AMU in food animals, including poultry, from LMICs due to a lack of national-level surveys (41). The systematic study revealed the maximum use of tetracyclines followed by aminoglycosides, beta-lactams, macrolides, arsenicals, fluoroquinolones, ionophores, penicillins, polymyxins, polypeptides, and sulfonamides, but species-level consumption data from LMICs are largely unavailable (42). China exponentially increased the use of antimicrobials for animal production from 6 million kg in 2001 to 84.2 million kg in 2013, which is substantially higher than the United States and Europe (43). Tetracycline and penicillin constitute 33 and 20%, respectively, of total MIA sale for animal production in the Republic of Korea (38). Southeast Asia (SEA) is a group of rapidly developing LMIC (except Singapore, Brunei, and Laos) that shares a linked economy through export of aquaculture (Vietnam, Thailand, and Indonesia) and poultry (Thailand) products (44). The meta-analysis of the literature published from SEA (mostly Vietnam and Thailand) identified the use of amoxicillin in most of the farms, followed by enrofloxacin, norfloxacin, doxycycline, ampicillin, colistin, neomycin, gentamicin, tylosin, trimethoprim, florfenicol, erythromycin, chloramphenicol (although banned in Vietnam), sulfamethoxazole, and chlortetracycline for the production of pigs, chicken, and fish (45). The quantitative analysis revealed therapeutic use of 46 mg of antimicrobial compounds (penicillin, lincosamide, quinolone, and sulphonamides with trimethoprim) per kg of live pig and 52–276 mg per kg of live chicken in pig and poultry farms in Vietnam (23). For growth promotion, 286.6 mg and 77.4 mg of antimicrobials were used with feed to produce 1 kg of pork and chicken, respectively. The feeds of chickens and pigs in SEA mostly contained non-MIA groups of antibiotics, such as bacitracin (15–24% of feed formulations), enramycin (enduracidin), and florfenicol, except a single study from Vietnam which identified critically important antibiotics (colistin, amoxicillin, and neomycin) in chicken feed (25). Many of the antibiotics that are being used in food-animals for non-therapeutic purpose are not clinically relevant in human medicine but they may still confer cross or co-resistance to MIAs. Further, many of the antibiotics, like colistin (polymyxin), ardacin, avoparcin (glycopeptides), and virginiamycin (streptogramins), were classified as highest priority antimicrobials (polymyxin and glycopeptides) or highly important antimicrobial (streptogramins) (46). The global average annual consumption of antimicrobials per kilogram of animal produced was 45 mg/kg, 148 mg/kg, and 172 mg/kg for cattle, chicken, and pigs, respectively (24). The World Organization for Animal Health (OIE) estimated the amount of antimicrobial agents used in animals and detected an increase from 98.97 mg/kg in 2014 to 144.39 mg/kg in 2016 (47). Further increases in animal protein demand during and post the COVID period to boost immunity will increase meat production with higher intensity. Country-specific AMU surveillance data will allow for the scenario to be realistically predicted.

Companion Animals

Companion animals are not directly linked to the human food chain and possibly manage to escape the hunt for AMR drivers across the globe, although isolated studies on AMR bacteria surveillance have indicated the tip of the iceberg (48). With growing concern in modern society over pet welfare, more and more affluent families started treating pets almost like family members. Veterinary hospitals dedicated to pets have cropped up, especially in urban areas of LMICs. Keeping pace with the increasing pet-health care facilities, the use of antimicrobials has also increased substantially and multi-drug resistant bugs, like MRSA, methicillin-resistant Staphylococcus intermedius (49), carbapenem-resistant Enterobacteriaceae (CRE), and even colistin-resistance E. coli, are also being detected in China (50). The last group reported a steady increase in recovery of MDR and β-lactam- and fluroquinolone- resistant E. coli from pet animals in China over 5 years (2012–17), possibly due to increased β-lactam usage in pet clinics. The situation became catastrophic during the COVID period due to non-availability of qualified companion animal practitioners (associated with prolonged lockdown in few countries), over-prescription in telehealth consultations without laboratory-based diagnosis, easy accessibility of medicines from online pharmacies, and the preference for human antibiotics for their better quality and easy availability, especially during the break-down of the pharmaceutical supply chain. More elaborative studies are needed to address the issues in LMICs.

Aquaculture

In LMICs, open water aquaculture systems, such as ponds, are subjected to heavy pollution due to domestic and household activities, wastewater discharge, animal activities, and livestock manure fertilization. The pollution can significantly impact the microbial community and diversity of the pond water (51). Aquatic bodies are at the receiving end where untreated human and animal wastage manure are dropped and the aquatic bodies become ideal hosts for bacterial flora (52). Antimicrobial resistance genes (ARGs) are being exchanged across the bacterial species irrespective of their source and host specificity (53) (Figure 1). Antibiotics are applied en masse (metaphylactic) in fish as individual treatment is impractical, which also exposes the non-targets to such treatment (54). Fish generally excrete out most of the antibiotics into the water and sediment due to poor gut absorption and the waterbodies become storehouses for antibiotics, which exert selection pressure on the microflora (55). In the aquatic environment, transduction facilitates the lateral transfer of ARGs like β-lactamase (56) and humans can pick up resistances faster from aquatic sources than from terrestrial animals. Prophylactic use of antimicrobials in intensive/semi-intensive aquaculture is on the radar, since prolonged and repeated use, even at a low concentration, is sufficient to exert selection pressure on the bacterial community to maintain their “resistome” and their spillover to human beings (57). Asian countries share the majority of global fish production, with China alone contributing to more than 60%. Little is known about the amount of AMU in aquaculture, particularly in LMICs due to a lack of strict monitoring, however, it varies depending upon geographical areas, climate, disease prevalence, and other socioeconomic factors. A single hatchery in Bangladesh experiences about 80 kg of antibiotics per cycle, a recent study reported (58). In Vietnam, about 72% of aquaculture farms used ~3.3 g of antimicrobial per kg of fish/shrimp product in the form of pre-medicated feed (59). Metal-based antifouling compounds (biocides) which are in use in aquaculture to prevent or treat bacterial or parasitic diseases may confer co- or cross- resistance to many antimicrobials (60). Fish are the most affordable source of protein in LMICs, with low cholesterol and high fatty acids, as they are cheaper price than beef, chevon, or poultry meat. An increased protein demand to boost immunity during the COVID period, especially in infants, children, and the elderly, can be met by fish due to their easy digestibility. This increased demand will boost the commercial aquaculture farms, possibly encouraging the use of more antibiotics.

FIGURE 1
www.frontiersin.org

Figure 1. Transmission of antimicrobial resistance genes between the environment and animal/human compartments. The arrows indicate the flow of antimicrobial resistance genes.

Household Use of Antimicrobials

Various scientific and medical bodies relied upon alcohol-based hand rub and handwashing with soap water as the most effective tools to combat the recent emergence of the COVID virus. Meanwhile, various commercial sanitizers, most of which contain medically important disinfectants, flooded the market with claims to effectively decimate the virus. The possible link between the use of disinfectants and the development of AMR received wide attention when the Food and Drug Administration (FDA) banned the use of triclosan in antibacterial soap (61). Sodium hypochlorite, commonly used in household cleaning or sewage decontamination and chlorination of water, has been on the news recently for its controversial use in purportedly eliminating coronavirus from the human body. Chlorination-induced oxidative injury was reported to increase resistance in Pseudomonas aeruginosa against ceftazidime, chloramphenicol, and ampicillin by 1.4–5.6-fold through overexpression of the MexEF-OprN efflux pump (62). Benzalkonium chloride (BAC) is a quaternary ammonium used as a preservative in eye, ear, or nasal drops. Lately, BAC was found to induce resistance even against last-resort antibiotics like polymyxin (63). There are reports of other quaternary ammonium compounds at sub-inhibitory concentrations affecting the susceptibility of E. coli strains to diverse antimicrobials, such as phenicol compounds, β lactams, and quinolones (64). There is conflicting evidence on the role of alcohol-based hand sanitizers (ABHS) in the spread and development of antibiotic-resistant bacteria. The repeated and prolonged use of ABHS may lead to the rise of alcohol-tolerant Enterococcus faecium in hospital environments due to mutations in carbohydrate uptake and regulation genes (65). Use of alcohol hand rubs was also reported to facilitate the growth of multidrug-resistant strains of Acinetobacter baumannii (65).

Categories of Antimicrobial Resistant Bacteria Prevalent in Agri-Food Chain and Companion Animals in LMICs

Livestock-Associated Methicillin-Resistant Staphylococcus aureus (LA-MRSA)

Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is an emerging pathogen that has been detected all over the world and, like many other bugs, its presence and spread are supported by the AMU and hygiene in addition to some other under-reported/poorly investigated factors like farm size, farming system, use of disinfectants, and in-feed zinc (66). Initially reported in animals, LA-MRSA is being increasingly reported in human beings; prolonged and frequent exposure of the farm-workers increased the risk of zoonotic transmission. Reservoir animals as asymptomatic carrier cannot be detected unless screened for MRSA, which is not under a routine surveillance program in any of the LMICs. Thus, we need to rely on the sporadic reports available from these countries. A number of studies from China demonstrated LA-MRSA infection as an occupational hazard for pig-farm workers (67), although such a possibility is very low (68). However, depending upon the prevailing farming style, nasal colonization of LA-MRSA in pig handlers may vary country wise (i.e., 5.5% in Malaysia, 15% in China, and 19.2% in Taiwan) (69). Unlike European and North American countries, which witnessed wide-spread detection of ST-398 clonal type of LA-MRSA, ST-9 predominates in the Asian continent. The majority of the LA-MRSA strains belong to SCCmec type IV and V and were frequently co-resistant to tetracycline and lincosamide, mediated by tet and erm genes, respectively (70), and glycopeptide-resistance remained a rare finding (71). MRSA needs special attention, as previously a SARS-CoV epidemic caused a significant rise in MRSA infection, especially in patients who required ventilation support (72). The recent episode of COVID19 may also produce a similar situation, as a large number of patients, especially with comorbid conditions, required ventilation support in the ICUs.

Cephalosporin Resistant Bacteria

Due to mutated or modified penicillin binding protein (PBP2a), MRSA are resistant to all β-lactam drugs, including cephalosporins. The Gram-negative bacteria (GNB), which are cephalosporin-resistant mainly through the production of β-lactamase or cephalosporinase- like AmpC type β-lactamase (ACBL) and extended-spectrum β-lactamase (ESBL), have become a cause of concern for their global spread, high infectivity, and associated mortality. Food and companion animals being the reservoir of ESBL or ACBL producers can put people in contact with them or consumers at significant risk. Due to abysmal public health infrastructure and poor hygiene, LMICs are overburdened with neonatal sepsis and healthcare-associated infections (73), with a heavy load of such drug-resistant pathogens in hospitals and communities (74). About 22% of healthy humans from Southeast Asia were found to harbor ESBL-producing bacteria in their gut-which is much higher than the global average (14%) (75). Increased contact with food animals is often assumed as an important underlying determinant for this higher ESBL colonization in Asian and African population (76). A number of studies from LMICs implicated food-animals as important reservoirs of ESBLs, however, their role in human infection cannot be confirmed. In contrast, chickens were reported to acquire ESBL resistance from water contaminated with human sewage through integrated farming, which is a common practice in many parts of Southeast Asia (77). In cows, ESBL-producers with multiple CTX-M variants were reported from mostly fecal sources and mastitic milk with a preponderance of CTXM-1 and CTXM-15 variants. Among other common types of the ESBLs in bovines from various LMICs were SHV-180, OXA-10, SHV-5 (Turkey), SHV-12 (Turkey and Egypt), SHV-180 (India), OXA-30 (Egypt), and TEM (India) (78). A number of studies conducted by our group revealed the presence of some ESBL variants in bovine mastitis wherein we could not trace any known ESBL genes by PCR screening – existence of a novel ESBL mechanism in this part cannot be ruled out (79, 80). Cattle manure is widely used as biological fertilizer, which increases the chance of environmental dissemination of ESBLs from a fecal source. Separate studies conducted by our group revealed the presence of ESBLs in broilers or birds kept exclusively for meat (81, 82) but not in backyard poultry reared by a large section of resource-poor farmers in India (83). Likewise, ESBLs and ACBLs were frequently detected in poultry from the developing countries of Asian (84, 85), African (86), and European (87) regions. Importantly, pigs, which form a favorite and affordable dish in many protein-hungry countries, were reported to carry ESBL determinants (8890). The ESBL detection rate was much higher in chicken meat (~93%) than meats from other animals, such as pork, beef (~35%), and fish/shrimps (~29%), in a study conducted on multiple species in Vietnam; possibly contamination with the caecal flora and poor disinfection measures led to this higher detection rate (91).

Carbapenem Resistant Bacteria

Carbapenems, due to their exceptional ability to withstand drug-resistance mechanisms like ESBLs, have remained an automatic choice of clinicians for treating refractory infections caused by ESBL-producing GNB. The emergence of carbapenem-resistance, which is often transmitted via mobile genetic elements, has far-reaching and rippling consequences, particularly in countries like India (92), China, and other Southeast Asian countries (50, 93) with heavy loads of ESBL infection in the healthcare setting. Carbapenem resistant Enterobacteriaceae (CRE) has serious repercussions in LMICs like many other bugs and infections, as it makes the poor vulnerable due to their lack of access to healthy environments, hygiene, and safety measures. Poor socio-economics put people at higher risk of contracting carbapenem-resistant pathogens (93) and, like many other bugs, this high priority pathogen was found to emanate amid poverty, violence, discrimination, and weak governance – key characteristics of LMICs (94). Fortunately, carbapenem is never chosen by veterinarians for treating food animals, possibly because of the cost and regulations putting a bar on its use. This is probably why carbapenem resistance has been rarely reported among food animals, particularly from LMICs. However, animals can also be exposed to such drugs or bugs in the environment through contaminated and untreated wastewater discharges from hospitals; a lack of proper AMR surveillance in LMICs may be an important reason for the underreporting of CRE in food animals. In India, in two separate instances, bovine mastitis was reported to carry NDM-5 producing E. coli (95, 96). Further, two different studies – one in Algeria (97) and another in the Jiangsu province of China (98) - reported NDM-5 producing E. coli and NDM-5 producing K. pneumoniae. Again from China, recently, another study reported an NDM-5-producing Escherichia coli strain in poultry (99), indicating an insidious spread of CRE across food animals; however, proper surveillance is required to unveil it. Arguably, NDM-5 seems to predominate in animals - not only in food animals as discussed above, but also in pets as reported from three continents: Africa (100), Asia (50), and North America (101). Recent analysis of the COVID scenario indicated how resistant pathogens, such as carbepenem-resistant and cephalosporin-resistant Enterobacteriaceae, may complicate the SARS-CoV2 pneumonia (102). Overenthusiastic antibiotic therapy in managing COVID patients and chemoprophylaxis may promote these pathogens further.

Colistin Resistant Bacteria

Colistin, a near abandoned drug due to its nephrotoxicity, has once again begun gaining attention for its usefulness in treating extremely drug-resistant pathogens like carbapenem-resistant Enterobacteriaceae (103). Plasmid mediated colistin-resistance (mcr) was first reported from China, linked with the use of colistin in pig and poultry farming (29). Surprisingly, colistin was not a banned drug in veterinary practices even in many high-income countries (HICs) until the emergence of mcr. Till date, mcr and its different allelic variants have been reported from pigs, poultry (104), cattle (105), and companion animals (106), but not in human beings. Colistin-resistance was known to be mediated by chromosomal modification in the two component regulatory system or deletion of mgr (107); however, the plasmid-mediated colistin-resistance has struck the medical community for the possibility of its rapid spread. Since its initial detection in 2016 from China, plasmid-mediated colistin-resistance has been reported from different LMICs, such as Egypt (108), India (109), Vietnam (110), Brazil (111), and Argentina (106). Importantly, as the whole world is searching for an effective weapon against coronavirus, an in silico model predicted the ability of colistin to interfere with the function of novel coronavirus by interacting with the viral aminoacid residue pockets (Thr24-Asn28 and Asn119) through hydrogen bonds (112).

Role of Animal/Poultry Farms as Reservoir of AMR Bacteria in LMICs

The human population is expected to grow by 50% by the year 2050 (113), with consequential increases in the demand for food. In LMICs, consumer preference shifted toward animal protein from vegetables, consistent with enhanced income, urbanization, and demographic and lifestyle changes (114). While the global meat consumption is expected to rise by 76% between 2,000 and 2,050, the rise in LMICs is more than 200% due to an increased population with enhanced per capita consumption (115). Only in South-East Asian (SEA) countries is the demand for poultry projected to increase by 725% between 2,000 and 2,030 (116).

Industrial Food Animal Production (IFAP)

The Industrial Food Animal Production (IFAP) has witnessed a massive growth to meet the rising demand for animal protein. Because of intensive rearing, higher stocking density, zero-grazing, overdependence on MIA and non-MIA for therapy, prophylaxis and growth promotion, and poor waste management (117), IFAP is not without hazards, such as offensive odors, increasing risk of zoonoses, including AMR, and non-communicable disorders such as stress, hypertension, and cognitive impairment among animal handlers and people in the surrounding community (118). The only benefit of IFAP, as argued by the Brazilian Government, is less environmental degradation, such as reduced deforestation (119).

In LMICs, due to the rising demand and expansion of multi-national food production companies, the IFAP is slowing replacing the small-scale backyard/household rearing system (120). IFAP is preferred particularly in urban areas of countries like Ethiopia, Uganda, and Vietnam that experience a shortage of land and water (121). A lack of stringent regulations and monitoring increased the non-therapeutic use of antimicrobials in farms (mostly pig and poultry) in several LMICs, such as China (122), Vietnam (123), Ethiopia (124), Uganda (125), Kenya (126), Mexico (127), and Myanmar (128).

The persistence of antimicrobia- resistant bacteria in IFAP settings is associated with several factors, such as AMU, co-resistance, cross-resistance with heavy metals, bacterial fitness, mixing of new and old animals, vectors or reservoirs of bacterial infection, vertical and pseudo-vertical transmission, and cleaning and disinfection (129). Even animal transport vehicles and flies originated from IFAP play a major role in the transmission of AMR into the community (130).

Backyard Farming

Unlike the developed world, LMICs are largely dependent upon small-scale backyard farming and as a result are more environment-friendly; backyard farming is regarded as sustainable even after meeting the rising demand for animal protein. As the animals are kept in small flocks or herds and maintained in a free-range system with occasional supplementations of raw vegetables with minimum manpower, backyard farming poses a relatively low risk for zoonotic transmission (131). However, small-scale backyard farming (chicken and pigs) is converting rapidly into “medium- to large-scale” backyard faming by making agreements with different food companies (“contract farming”).

In general, backyard farming is operated with minimal antimicrobial intervention, replaced instead by indigenous technical knowledge (ITK) or lower generation cheaper antibiotics (132). Sporadic studies in different LMICs (Tanzania, Ecuador, Vietnam, Ghana, Bangladesh, and Cambodia) revealed the usage of antimicrobials like oxytetracycline, penicillin, erythromycin, enrofloxacin, and trimethoprim-sulfadozine by “medium- to large-scale” backyard pig and chicken farmers (77, 133), based on personal experience or communication without veterinary oversight. The lack of costly higher generation cephalosporin usage in backyard household poultry was reflected in the absence of extended spectrum beta-lactamase determinants in Salmonella and E. coli isolated from backyard layers in India (83, 134).

The use of AMUs by farmers in backyard farms is influenced by their capacity to detect the diseased animals, the farmer's expertise and attitude toward the disease-associated risk, and the cost-benefit analysis of treatment (135). The cheaper variety of the antimicrobials is always preferred, although sometimes it is unsafe due to compromising with the quality, especially in LMICs. The overall prevalence of low-quality medicine was estimated to be 13.6% in LMICs, and further, 12.4% of the antibiotics were substandard or falsified (136). The annual market for unregistered and poor quality veterinary drugs in Africa is estimated to be equal to the registered drug market (400 million US dollars) (137). The bacterial population exposed to the poor quality veterinary medicine is not wiped out completely due to sub-therapeutic dosages and the ineffective release of drugs, and the left over bacteria may remain as a resistant population with subsequent transmission (138).

Mitigation Strategy

Substitution of AMU

AMU is the single most important driver for AMR; therefore, attempts are being made to slowly reduce or phase out antimicrobials in veterinary medicine. However, substitution of antimicrobials has short-term economic implications resulting from substantial loss of production and higher morbidity or mortality. In any case, if such measures compromise food security, that may have devastating impacts in poor, highly populous, and resource-deprived countries. An early warning system based on a local epidemiological database and regular health check-ups of the animals may allow us to detect the disease early and thereby prevent its spread to other animals in the herd or adjoining areas. Thus, widespread chemoprophylaxis that becomes indispensable in any outbreak may be avoided. This needs to be revisited in the face of the COVID outbreak, with several pets and wild animals having tested positive for SARS-CoV-2, like cats, dogs, tiger, lions, minks, ferrets, hamster, bats, and macaques. In addition, preventive non-antimicrobial strategies which include- timely vaccination, appropriate biosecurity measures, proper nutrition and housing may reduce the demand for preventive antimicrobial therapy. The adoption of herd-specific control measures to minimize the occurrence of diseases like mastitis may be helpful to promote the prudent use of antimicrobials (139).

Various alternative ways, like reducing meat consumption, capping the amount of antimicrobials per year per kilogram of animal product, and making antibiotics expensive by taxation, were proposed to cut down AMU in food animals (140). Some sort of economic shield in the form of insurance packages or incentives to safeguard the loss arising out of any infectious diseases in the farm may psychologically motivate farmers to use antibiotics more judiciously (135). Making the meat from antibiotic-treated animals more expensive and labeling such meat packages with its source (from antibiotic-treated animals) is another way to discourage consumers and to indirectly reduce AMU (141).

The alternative anti-infective strategies, such as nano-material based anti-infective particles, enzymes, antimicrobial peptides, quorum sensing quenchers, efflux pump inhibitors, clay, predatory bacteria, teat sealants, and antimicrobial photodynamic therapy, are in the pipeline to be evaluated at a field level. The supplementation of essential oils and spices as an alternative to antimicrobials was reported to have beneficial health effects in poultry (142, 143). However, the performance of essential oils still needs to be clinically tested in various conditions and they may not be equally effective against the Gram-negative pathogens because of inherent tolerance (144); the absence of maximum residue levels (MRL) data regarding those essential oils in food animals has to be checked.

Raising Awareness Among Farmers

FAO referred to farmers as “important frontline defenders” for the vital role they can play in stemming the spread of AMR by adopting good hygienic farm operations. Increasing awareness among farmers by imparting basic knowledge may help reduce the unnecessary and indiscriminate AMU in food animals (104); however, it can only be successful if adequate financial support and insurance packages are given to recuperate any loss in livestock farming (145). In most of the LMICs, small and marginal farmers often suffer huge economic losses due to disease outbreaks for meager investments on biosecurity and farm hygiene; these psychologically disadvantaged farmers can then be easily misled about the purported efficacy of antimicrobials for growth promotion and disease prevention by the unscrupulous push-sell of drug-marketing agencies. Inadequate veterinary healthcare facilities and limited drug regulations increase the magnitude of the problem in LMICs and, without reshaping these, efforts to bring sustainable change in farmers' behavior, knowledge, attitude, and practices may be futile (145). Changing farmers' behaviors or increasing their awareness for appropriate AMU in food animals requires multiple supportive measures, like incentives to the farmers raising livestock without antibiotics, subsidized insurance to make up for losses, the implementation of strict drug regulation, and the establishment of a strong network of veterinary healthcare facilities accessible to rural farmers in LMICs. The mobile veterinary clinic was introduced by the Government of India to reach out to the country's remote corners.

Implementation of Government Legislation

FAO underscored strong government legislation as the most important component in addressing the overuse, misuse, or abuse of antimicrobials that accounted for the rise in AMR. Such legislations are essential for defining the responsibilities and duties of all the stakeholders, and for the sustainability of the policies and technical objectives aimed at reducing AMR.

Drug regulatory agencies of European countries and the FDA implemented strong regulations by banning the prophylactic and growth-promoting use of antimicrobials in food animals and capping the limit of CIA/HIA in the veterinary sector. Many countries (Japan, the USA, Colombia, Denmark, the Netherlands, and Sweden) fixed national targets to reduce AMU in livestock. Nevertheless, any kind of regulatory endeavor is still at a primary stage in many of the LMICs (146); only a few could successfully implement such regulations or advisories given the prevailing socio-economic scenario, public administrative constraints, and absence of political commitment/goodwill in these countries. Therefore, emphasis on education, awareness, and training of all stakeholders, particularly the end users, might be more effective in LMICs (147).

Surveillance of AMU and AMR

Surveillance on AMR pathogens and AMU is undeniably the key driving force for controlling AMR, with WHO suggesting this point in the global action plan on antimicrobial resistance (GAP), which still remains the authentic source of information to fight against AMR. Many of the HICs (Norway, Japan, Denmark, Canada, the USA, Finland, the Netherlands, and France) have articulated national surveillance programs (NORM-VET, JVARM, DANMAP, CIPARS, NARMS, FINRES-VET, NethMap-MARAN, ONERBA- RESAPATH, and SWEDRES-SVARM) and the policies on AMU in animals are tailored based on the data generated from their networks. Such is not the case in LMICs, as most of them have no surveillance in place to monitor the antimicrobial consumption in animals. The government of India adopted the NAP on AMR and strongly recommended the need for a strong regulatory framework for restricting the AMU in animals. A Pan-India Network – ICAR-Indian Network for Fisheries and Animal Antibiotic Resistance (INFAAR) was initiated by the Indian Council of Agricultural Research in collaboration with FAO to cater to the objectives laid down in India's NAP on AMR. A lack of robust infrastructural support crippled by financial constraints remains the most pressing challenge for the establishment and proper functioning of a robust surveillance system on AMR/AMU in LMICs. On the contrary, Ashley et al. (148) proposed to tap the large amount of data generated by academic institutes and private laboratories to indirectly and passively monitor the problem in these areas for the time being.

Drug-Repurposing Strategy

The COVID19 panorama has been an eye-opener for scientists worldwide; when there are no or limited therapeutic choices, with a new drug or effective vaccine still a long way off, the only option left is to experiment with the existing modalities. The whole world is frantically searching for a solution through drugs such as hydroxychloroquine, azithromycin through ivermectin (149), famotidine (150), flavipiravir (151), and remdesivir (152). This is the same situation with novel antimicrobials as the plausibility of a new drug to hit the market in the near future is remote. Even if it comes to market, how long it will be effective for is not clear. The search for new antimicrobials is impeded by the huge investment requirement, time lag, and reluctance of pharma-leaders recently shifting their focus toward cheaper strategies like the repurposing of drugs which involves less time and investment. No such study has been conducted on repurposing of drugs in the veterinary sector. However, veterinary drugs were tried for repurposing; fenbendazole was found to be effective against non-small cell lung cancer cells (153) by microtubule destabilization and inhibition of glucose uptake. Likewise, isoxazoline was found to be promising in human vector-borne diseases. Many anthelmintic compounds of the salicylanilide family-niclosamide, oxyclozanide, rafoxanide, and closantel - demonstrated antibacterial properties against a wide range of pathogens -methicillin-, vancomycin-, linezolid-, or daptomycin-resistant Staphylococcus aureus, Clostridium difficile, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, and Helicobactor. Avermectins were tested successfully against Mycobacterium and MRSA. Likewise, an antifungal property was reported for mebendazole. Trials with a few NSAIDs (Celecoxib, aspirin, ibuprofen, and tacrolimus) against a few bacterial and fungal pathogens turned out hopeful (154). A number of studies were conducted using anticancer drugs to repurpose as antibacterial, 5-fluorouracil and gallium nitrate were found to be effective against MDR A. baumanni and Pseudomonas. Tamoxifen, floxuridine, and streptozotocin exhibited appreciable antibacterial activity against Staphylococcus isolates.

However, the dose of the repurposed drugs is comparatively higher when used as an antimicrobial, so the pharmacokinetic profiles changes abruptly which necessitates a clinical revaluation and toxicity testing. LMICs, where the burden of infection is quite high, can provide ample scope for such trial and testing with funding support from international agencies.

Pivotal Mitigation Strategy to Be Focused in Post COVID Period

The pos- COVID scenario might be associated with a rise in AMR in human and animals due to more stress on antibiotic-dependent healthcare systems to combat secondary bacterial infections. Interruptions of antibiotic stewardship programs in hospitals and communities, prescription with antibiotics for COVID patients misdiagnosed with bacterial bronchitis, over-prescription in telehealth consultations, and easy accessibility of medicines from online pharmacy are just a few key factors associated with AMR identified during the pandemic (155). Enhancement of the immune system with an increased animal-based protein diet was promoted by governments and non-governmental organizations throughout the world during the pandemic. It will further increase the demand for animal protein, which may enhance the growth promotional use of antimicrobials in IFAPs.

Antimicrobial resistance is mostly dependent on the use of antibiotics in humans, agri-food chains, and companion animals, and the use of antibiotics is largely regulated by human instinct (156). The knowledge, attitude, and practice of the AMU by all types of prescribers and farmers varies a lot between developed countries and LMICs, which will be further modified with added complexities during a post-pandemic period. The qualitative and quantitative survey should be established at a national level in LMICs to explore the behavioral basis of AMU during the post-COVID period. A national level monitoring system should be established for the quantification of AMU categorically in different species of animals, birds, fish, and agri-products to detect the risk factors for the emergence of any change in resistance pattern post the pandemic. The quantification of AMU will develop a benchmarking system with an immediate identification of the top-level user, although reduction of AMU is not always directly correlated with reduction of AMR, as it is a multi-factorial issue (as described earlier). More farm-level molecular epidemiological studies in livestock, poultry, and aquaculture to identify the reservoir of resistant bacteria, categorize the resistance determinants, establish the correlation between resistance determinants and true resistance against MIA, explore the environmental resistome, and explore the wildlife as carrier of resistant bacteria are in dire need. A holistic one health approach based intervention strategy incorporating all the local stakeholders of each LMIC is required to address the complex issue after identification of the major driver which may vary between the member countries and during the pre- and post-pandemic periods. The one health approach to address the AMR issue might be an easier process during the post-COVID period as several international collaborative groups were already created during the pandemic and, moreover, political will and subsequently more research and development investments by governments to address health-related issues is expected to save the human population.

Author Contributions

SB and IS planned and wrote the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Gautret P, Lagier JC, Parola P, Meddeb L, Mailhe M, Doudier B, et al. Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial. Int J Antimicrob Agents. (2020) 56:105949. doi: 10.1016/j.ijantimicag.2020.105949

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Palca J. Coronavirus Panel Recommends Against Use of Hydroxychloroquine and Azithromycin. NPR. (2020). Available online at: www.npr.org/sections/coronavirus-live-updates/2020/04/21/840341224/nih-panel-recommends-against-drug-combination-trump-has-promotedfor-covid-19 (accessed May 27, 2020).

3. Rawson TM, Moore LS, Zhu N, Ranganathan N, Skolimowska K, Gilchrist M, et al. Bacterial and fungal co-infection in individuals with coronavirus: a rapid review to support COVID-19 antimicrobial prescribing. Clin Infect Dis. (2020) 2:ciaa530. doi: 10.1093/cid/ciaa530

PubMed Abstract | CrossRef Full Text | Google Scholar

4. World Health Organization (WHO). (2020). Available at: https://www.theguardian.com/world/2020/jun/01/who-warns-overuse-of-antibiotics-for-covid-19-will-cause-more-deaths (accessed July 10, 2020).

5. Morgan DJ, Okeke IN, Laxminarayan R, Perencevich EN, Weisenberg S. Non-prescription antimicrobial use worldwide: a systematic review. Lancet Infect Dis. (2011) 11:692–701. doi: 10.1016/S1473-3099(11)70054-8

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Blankenship K. Pfizer, Teva Running Short on Antibiotic Azithromycin Amid COVID-19 Therapy Hunt. (2020). Available online at: https://www.fiercepharma.com/manufacturing/pfizer-teva-running-short-antibiotic-azithromycin-amid-covid-19-therapy-hunt (accessed April 26, 2020).

7. CDC. Interim Infection Prevention and Control Guidance for Veterinary Clinics Treating Companion Animals During the COVID-19 Response. Available online at: https://www.cdc.gov/coronavirus/2019-ncov/community/veterinarians.html (accessed April 26, 2020).

8. Wozniak TM, Barnsbee L, Lee XJ, Pacella RE. Using the best available data to estimate the cost of antimicrobial resistance: a systematic review. Antimicrob Resist Infect Contl. (2019) 8:26. doi: 10.1186/s13756-019-0472-z

PubMed Abstract | CrossRef Full Text | Google Scholar

9. O'neill J. Antimicrobial resistance: tackling a crisis for the health and wealth of nations. Rev Antimicrob Resist. (2014) 20:1–16.

Google Scholar

10. WHO. Antimicrobial Resistance. (2018). Available online at: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance (accessed April 27, 2020).

Google Scholar

11. Temkin E, Fallach N, Almagor J, Gladstone BP, Tacconelli E, Carmeli Y, DRIVE-AB Consortium. Estimating the number of infections caused by antibiotic-resistant Escherichia coli and Klebsiella pneumoniae in 2014: a modelling study. Lancet Glob Health. (2018) 6: e969–79. doi: 10.1016/S2214-109X(18)30278-X

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Cassini A, Högberg LD, Plachouras D, Quattrocchi A, Hoxha A, Simonsen GS, et al. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis. Lancet Infect Dis. (2019) 19:56–66. doi: 10.1016/S1473-3099(18)30605-4

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Thorpe KE, Joski P, Johnston KJ. Antibiotic-resistant infection treatment costs have doubled since 2002 now exceeding $2 billion annually. Hlth Affairs. (2018) 37:662–9. doi: 10.1377/hlthaff.2017.1153

PubMed Abstract | CrossRef Full Text | Google Scholar

14. OECD. Stemming the Superbug Tide: Just A Few Dollars More. Paris: OECD Publishing (2018).

15. Organisation for Economic Co-operation and Development (OECD). Stemming the Superbug Tide: Just a Few Dollars More. Paris: OECD publishing (2018).

16. Okeke IN, Laxminarayan R, Bhutta ZA, Duse AG, Jenkins P, O'Brien TF, et al. Antimicrobial resistance in developing countries. Part I: recent trends and current status. Lancet Infect Dis. (2005) 5:481–93. doi: 10.1016/S1473-3099(05)70189-4

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Ahmed SA, Baris E, Go DS, Lofgren H, Osorio-Rodarte I, Thierfelder K. Assessing the Global Economic and Poverty Effects of Antimicrobial Resistance. Policy Research Working Paper No. 8133. Washington, DC: World Bank (2017). Available online at: https://openknowledge.worldbank.org/handle/10986/27636 (accessed April 27, 2020).

Google Scholar

18. World Bank (2017). Available online at: http://www.worldbank.org/en/topic/health/publication/drug-resistantinfections-a-threat-to-our-economic-future (accessed April 27, 2020).

19. WHO. WHO Guidelines on Use of Medically Important Antimicrobials in Food Producing Animals. Geneva: WHO (2019). Available online at: https://www.who.int/foodsafety/areas_work/antimicrobial-resistance/cia_guidelines/en/ (accessed April 28, 2020).

Google Scholar

20. World Organization for Animal Health (OIE). Available online at: https://www.oie.int/fileadmin/Home/eng/Our_scientific_expertise/docs/pdf/AMR/A_OIE_List_antimicrobials_May2018.pdf (accessed July 11, 2020).

21. Vickers AJ, Bianco FJ, Serio AM, Eastham JA, Schrag D, Klein EA et al. The surgical learning curve for prostate cancer control after radical prostatectomy. J Nat Can Inst. (2007) 99:1171–7. doi: 10.1093/jnci/djm060

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Van Duijkeren E, Hengeveld PD, Albers M, Pluister G, Jacobs P, Heres L, et al. Prevalence of methicillin-resistant Staphylococcus aureus carrying mecA or mecC in dairy cattle. Vet Microbiol. (2014) 171:364–7. doi: 10.1016/j.vetmic.2013.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Carrique-Mas JJ, Trung NV, Hoa NT, Mai HH, Thanh TH, Campbell JI, et al. Antimicrobial usage in chicken production in the Mekong Delta of Vietnam. Zoonoses Public Health. (2015) 62:70–8. doi: 10.1111/zph.12165

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Van Boeckel TP, Brower C, Gilbert M, Grenfell BT, Levin SA, Robinson TP, et al. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci USA. (2015) 112:5649–54. doi: 10.1073/pnas.1503141112

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Van Cuong N, Nhung NT, Nghia NH, Hoa NT, Trung NV, Thwaites G, et al. Antimicrobial consumption in medicated feeds in Vietnamese pig and poultry production. Ecohlth. (2016) 13:490–8. doi: 10.1007/s10393-016-1130-z

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Marti R, Scott A, Tien YC, Murray R, Sabourin L, Zhang Y, et al. Impact of manure fertilization on the abundance of antibiotic-resistant bacteria and frequency of detection of antibiotic resistance genes in soil and on vegetables at harvest. Appl Environ Microbiol. (2013) 79:5701–9. doi: 10.1128/AEM.01682-13

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Odongo NE, Bagg R, Vessie G, Dick P, Or-Rashid MM, Hook SE, et al. Long-term effects of feeding monensin on methane production in lactating dairy cows. J Dairy Sci. (2007) 90:1781–8. doi: 10.3168/jds.2006-708

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Bager F, Emborg HD, Monnet DL. DANMAP 2000: Consumption of Antimicrobial Agents and Occurence of Antimicrobial Resistance in Bacteria from Food Animals, Foods and Humans in Denmark. (2001). Available online at: https://www.forskningsdatabasen.dk/en/catalog/2389483216 (accessed July 11, 2020).

Google Scholar

29. Liu YY, Wang Y, Walsh TR, Yi LX, Zhang R, Spencer J, et al. Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. Lancet Infect Dis. (2016) 16:161–8. doi: 10.1016/S1473-3099(15)00424-7

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Fukuda A, Sato T, Shinagawa M, Takahashi S, Asai T, Yokota SI, et al. High prevalence of mcr-1, mcr-3 and mcr-5 in Escherichia coli derived from diseased pigs in Japan. Int J Antimicrob Agents. (2018) 51:163. doi: 10.1016/j.ijantimicag.2017.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Walsh TR, Wu Y. China bans colistin as a feed additive for animals. Lancet Infect Dis. (2016) 16:1102. doi: 10.1016/S1473-3099(16)30329-2

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Ministry of health and family welfare. The Gazette of India, Extraordinary, Part II-Section 3-Sub-section (2019).

Google Scholar

33. Guthrie CA, Vogel GJ, Laudert SB. Effects of tilmicosin on the incidence of bovine respiratory disease and animal performance when used in temperature-based therapy and complete metaphylaxis treatment programs. In: Proceedings of the Thirtieth Annual Conference of the American Association of Bovine Practitioners With the Society for Theriogenology. Montreal, QC (1997).

Google Scholar

34. Rushton J. Anti-microbial Use in Animals: How to Assess the Trade-offs. Zoonoses Public Health. (2015) 62:10–21. doi: 10.1111/zph.12193

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Casewell M, Friis C, Marco E, McMullin P, Phillips I. The European ban on growth-promoting antibiotics and emerging consequences for human and animal health. J Antimicrob Chemother. (2003) 52:159–61. doi: 10.1093/jac/dkg313

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Tang KL, Caffrey NP, Nóbrega DB, Cork SC, Ronksley PE, Barkema HW, et al. Restricting the use of antibiotics in food-producing animals and its associations with antibiotic resistance in food-producing animals and human beings: a systematic review and meta-analysis. Lancet Planet Health. (2017) 1:e316–27. doi: 10.1016/S2542-5196(17)30141-9

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Scott AM, Beller E, Glasziou P, Clark J, Ranakusuma RW, Byambasuren O, et al. Is antimicrobial administration to food animals a direct threat to human health? A rapid systematic review. Int J Antimicrob Agents. (2018) 52:316–23. doi: 10.1016/j.ijantimicag.2018.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Innes GK, Randad PR, Korinek A, Davis MF, Price LB, So AD, et al. External societal costs of antimicrobial resistance in humans attributable to antimicrobial use in livestock. Ann Rev Public Health. (2020) 41:141–57. doi: 10.3386/w26189

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Landers TF, Cohen B, Wittum TE, Larson EL. A review of antibiotic use in food animals: perspective, policy, and potential. Public Health Rep. (2012) 127:4–22. doi: 10.1177/003335491212700103

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Anonymous. Farm Antibiotic Use in the United States [WWW Document]. FDA. (2017). Available online at: https://www.fda.gov/downloads/ForIndustry/UserFees/AnimalDrugUserFeeActADUFA/UCM (accessed July 11, 2020).

Google Scholar

41. Cuong NV, Padungtod P, Thwaites G, Carrique-Mas JJ. Antimicrobial usage in animal production: a review of the literature with a focus on low-and middle-income countries. Antibiotics. (2018) 7:75. doi: 10.3390/antibiotics7030075

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Lam Y, Fry JP, Nachman KE. Applying an environmental public health lens to the industrialization of food animal production in ten low-and middle-income countries. Global Health. (2019) 15:40. doi: 10.1186/s12992-019-0479-5

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Zhang QQ, Ying GG, Pan CG, Liu YS, Zhao JL. Comprehensive evaluation of antibiotics emission and fate in the river basins of China: source analysis, multimedia modeling, and linkage to bacterial resistance. Environ Sci Technol. (2015) 49:6772–82. doi: 10.1021/acs.est.5b00729

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Walther BA, Boëte C, Binot A, By Y, Cappelle J, Carrique-Mas J, et al. Biodiversity and health: lessons and recommendations from an interdisciplinary conference to advise Southeast Asian research, society and policy. Infect Genet Evol. (2016) 40:29–46. doi: 10.1016/j.meegid.2016.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Nguyen NT, Nguyen HM, Nguyen CV, Nguyen TV, Nguyen MT, Thai HQ, et al. Use of colistin and other critical antimicrobials on pig and chicken farms in southern Vietnam and its association with resistance in commensal Escherichia coli bacteria. Appl Environ Microbiol. (2016) 82:3727–35. doi: 10.1128/AEM.00337-16

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Wegener HC, Aarestrup FM, Gerner-Smidt P, Bager F. Transfer of antibiotic resistant bacteria from animals to man. Acta Vet Scand Supplementum. (1999) 92:51–7.

Google Scholar

47. Góchez D, Raicek M, Pinto Ferreira J, Jeannin M, Moulin G, Erlacher-Vindel E. OIE annual report on antimicrobial agents intended for use in animals: methods used. Front Vet Sci. (2019) 6:317. doi: 10.3389/fvets.2019.00317

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Guardabassi L, Schwarz S, Lloyd DH. Pet animals as reservoirs of antimicrobial-resistant bacteria. J Antimicrob Chemother. (2004) 54:321–32. doi: 10.1093/jac/dkh332

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Lloyd DH. Reservoirs of antimicrobial resistance in pet animals. Clin Infect Dis. (2007) 45:S148–52. doi: 10.1086/519254

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Chen SL, Ding Y, Apisarnthanarak A, Kalimuddin S, Archuleta S, Omar SFS, et al. The higher prevalence of extended spectrum beta-lactamases among Escherichia coli ST131 in Southeast Asia is driven by expansion of a single, locally prevalent subclone. Sci Rep. (2019) 9:13245. doi: 10.1038/s41598-019-49467-5

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Minich JJ, Zhu Q, Xu ZZ, Amir A, Ngochera M, Simwaka M, et al. Microbial effects of livestock manure fertilization on freshwater aquaculture ponds rearing tilapia (Oreochromis shiranus) and North African catfish (Clarias gariepinus). Microbiologyopen. (2018) 7:e00716. doi: 10.1002/mbo3.716

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Zhu Y, Yang Y, Wan J, Hua D, Mathias JA. The effect of manure application rate and frequency upon fish yield in integrated fish farm ponds. Aquaculture. (1990) 91:233–51. doi: 10.1016/0044-8486(90)90191-O

CrossRef Full Text | Google Scholar

53. Khan GA, Berglund B, Khan KM, Lindgren P-E, Fick J. Occurrence and abundance of antibiotics and resistance genes in rivers, canal and near drug formulation facilities–a study in Pakistan. PLoS ONE. (2013) 8:e62712. doi: 10.1371/journal.pone.0062712

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Cabello FC, Godfrey HP, Buschmann AH, Dölz HJ. Aquaculture as yet another environmental gateway to the development and globalisation of antimicrobial resistance. Lancet Infect Dis. (2016) 16:e127–33. doi: 10.1016/S1473-3099(16)00100-6

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Petersen A, Andersen JS, Kaewmak T, Somsiri T, Dalsgaard A. Impact of integrated fish farming on antimicrobial resistance in a pond environment. Appl Environ Microbiol. (2002) 68:6036–42. doi: 10.1128/AEM.68.12.6036-6042.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Gunathilaka GU, Tahlan V, Mafiz AI, Polur M, Zhang Y. Phages in urban wastewater have the potential to disseminate antibiotic resistance. Int J Antimicrob Agents. (2017) 50:678–83. doi: 10.1016/j.ijantimicag.2017.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Burch D. Animal to human transmission of AMR. Vet Rec. (2016) 179:633–4. doi: 10.1136/vr.i6671

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Hinchliffe S, Butcher A, Rahman MM. The AMR problem: demanding economies, biological margins, and co-producing alternative strategies. Palgrave Commun. (2018) 4:142. doi: 10.1057/s41599-018-0195-4

CrossRef Full Text | Google Scholar

59. Pham DK, Chu J, Do NT, Brose F, Degand G, Delahaut P, et al. monitoring antibiotic use and residue in freshwater aquaculture for domestic use in Vietnam. Ecohealth. (2015) 12:480–9. doi: 10.1007/s10393-014-1006-z

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Guardiola FA, Cuesta A, Meseguer J, Esteban MA. Risks of using antifouling biocides in aquaculture. Int J Mol Sci. (2012) 13:1541–60. doi: 10.3390/ijms13021541

PubMed Abstract | CrossRef Full Text | Google Scholar

61. McNamara PJ, Levy SB. Triclosan: an instructive tale. Antimicrob Agents Chemother. (2016) 60:7015–6. doi: 10.1128/AAC.02105-16

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Hou A ming, Yang D, Miao J, Shi D yang, Yin J, Yang Z wei, et al. Chlorine injury enhances antibiotic resistance in Pseudomonas aeruginosa through over expression of drug efflux pumps. Water Res. (2019) 156:366–71. doi: 10.1016/j.watres.2019.03.035

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kim M, Weigand MR, Oh S, Hatt JK, Krishnan R, Tezel U, et al. Widely used benzalkonium chloride disinfectants can promote antibiotic resistance. Appl Environ Microbiol. (2018) 84:e01201-18. doi: 10.1128/AEM.01201-18

CrossRef Full Text | Google Scholar

64. Soumet C, Fourreau E, Legrandois P, Maris P. Resistance to phenicol compounds following adaptation to quaternary ammonium compounds in Escherichia coli. Vet Microbiol. (2012) 158:147–52. doi: 10.1016/j.vetmic.2012.01.030

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Pidot SJ, Gao W, Buultjens AH, Monk IR, Guerillot R, Carter GP, et al. Increasing tolerance of hospital Enterococcus faecium to handwash alcohols. Sci Transl Med. (2018) 10:eaar6115. doi: 10.1126/scitranslmed.aar6115

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Cuny C, Wieler LH, Witte W. Livestock-Associated MRSA: the impact on humans. Antibiotics. (2015) 4:521–43. doi: 10.3390/antibiotics4040521

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Wang XL, Li L, Li SM, Huang JY, Fan YP, Yao ZJ, et al. Phenotypic and molecular characteristics of Staphylococcus aureus and methicillin-resistant Staphylococcus aureus in slaughterhouse pig-related workers and control workers in Guangdong Province, China. Epidemiol Infect. (2017) 145:1843–51. doi: 10.1017/S0950268817000085

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Van Lochem S, Thompson PN, Annandale CH. Prevalence of methicillin-resistant Staphylococcus aureus among large commercial pig herds in South Africa. Onderstepoort J Vet Res. (2018) 85:e1–4. doi: 10.4102/ojvr.v85i1.1561

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Chuang YY, Huang YC. Livestock-associated meticillin-resistant Staphylococcus aureus in Asia: an emerging issue? Int J Antimicrob Agents. (2015) 45:334–40. doi: 10.1016/j.ijantimicag.2014.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Wang D, Wang Z, Yan Z, Wu J, Ali T, Li J, et al. Bovine mastitis Staphylococcus aureus: Antibiotic susceptibility profile, resistance genes and molecular typing of methicillin-resistant and methicillin-sensitive strains in China. Infect Genet Evol. (2015) 31:9–16. doi: 10.1016/j.meegid.2014.12.039

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Bhattacharyya D, Banerjee J, Bandyopadhyay S, Mondal B, Nanda PK, Samanta I, et al. First Report on Vancomycin-Resistant Staphylococcus aureus in Bovine and Caprine Milk. Microb Drug Resist. (2016) 22:675–81. doi: 10.1089/mdr.2015.0330

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Yap FHY, Gomersall CD, Fung KSC, Ho PL, Ho OM, Lam PKN, et al. Increase in methicillin-resistant Staphylococcus aureus acquisition rate and change in pathogen pattern associated with an outbreak of severe acute respiratory syndrome. Clin Infect Dis. (2004) 39:511–6. doi: 10.1086/422641

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Lona-Reyes JC, Pérez-Ramírez RO, Rodríguez-Patiño V, Cordero-Zamora A, Gómez-Ruiz LM, Llamas-Ramos L. Prevalence of extended-spectrum beta-lactamases in enterobacteria of neonatal sepsis and associated factors. Rev Chil Infectol. (2019) 36:433–41. doi: 10.4067/S0716-10182019000400433

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Kang CI, Wi YM, Lee MY, Ko KS, Chung DR, Peck KR, et al. Epidemiology and risk factors of community onset infections caused by extended-spectrum β-lactamase-producing Escherichia coli strains. J Clin Microbiol. (2012) 50:312–7. doi: 10.1128/JCM.06002-11

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Karanika S, Karantanos T, Arvanitis M, Grigoras C, Mylonakis E. Fecal colonization with extended-spectrum beta-lactamase-producing Enterobacteriaceae and risk factors among healthy individuals: a systematic review and metaanalysis. Clin Infect Dis. (2016) 63:310–8. doi: 10.1093/cid/ciw283

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Miao Z, Li S, Wang L, Song W, Zhou Y. Antimicrobial resistance and molecular epidemiology of esbl-producing escherichia coli isolated from outpatients in Town Hospitals of Shandong Province, China. Front Microbiol. (2017) 8:63. doi: 10.3389/fmicb.2017.00063

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Nguyen VT, Carrique-Mas JJ, Ngo TH, Ho HM, Ha TT, Campbell JI, et al. Prevalence and risk factors for carriage of antimicrobial-resistant Escherichia coli on household and small-scale chicken farms in the Mekong Delta of Vietnam. J Antimicrob Chemother. (2015) 70:2144–52. doi: 10.1093/jac/dkv053

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Dantas Palmeira J, Ferreira HMN. Extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae in cattle production – a threat around the world. Heliyon. (2020) 6:e03206. doi: 10.1016/j.heliyon.2020.e03206

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Koovapra S, Bandyopadhyay S, Das G, Bhattacharyya D, Banerjee J, Mahanti A, et al. Molecular signature of extended spectrum β-lactamase producing Klebsiella pneumoniae isolated from bovine milk in eastern and north-eastern India. Infect Genet Evol. (2016) 44:395–402. doi: 10.1016/j.meegid.2016.07.032

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Bandyopadhyay S, Banerjee J, Bhattacharyya D, Samanta I, Mahanti A, Dutta TK, et al. Genomic identity of fluoroquinolone-resistant bla CTX-M−15 -Type ESBL and pMAmpC β-lactamase producing Klebsiella pneumoniae from Buffalo Milk, India. Microb Drug Resist. (2018) 24:1345–53. doi: 10.1089/mdr.2017.0368

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Kar D, Bandyopadhyay S, Bhattacharyya D, Samanta I, Mahanti A, Nanda PK, et al. Molecular and phylogenetic characterization of multidrug resistant extended spectrum beta-lactamase producing Escherichia coli isolated from poultry and cattle in Odisha, India. Infect Genet Evol. (2015) 29:82–90. doi: 10.1016/j.meegid.2014.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Mahanti A, Ghosh P, Samanta I, Joardar SN, Bandyopadhyay S, Bhattacharyya D, et al. Prevalence of CTX-M-Producing Klebsiella spp. in Broiler, Kuroiler, and indigenous poultry in West Bengal State, India. Microb Drug Resist. (2018) 24:299–306. doi: 10.1089/mdr.2016.0096

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Samanta I, Joardar SN, Das PK, Das P, Sar TK, Dutta TK, et al. Virulence repertoire, characterization, and antibiotic resistance pattern analysis of Escherichia coli isolated from backyard layers and their environment in India. Avian Dis. (2014) 58:39–45. doi: 10.1637/10586-052913-Reg.1

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Tansawai U, Walsh TR, Niumsup PR. Extended spectrum ß-lactamase-producing Escherichia coli among backyard poultry farms, farmers, and environments in Thailand. Poult Sci. (2019) 98:2622–31. doi: 10.3382/ps/pez009

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Yang H, Rehman MU, Zhang S, Yang J, Li Y, Gao J, et al. High prevalence of CTX-M belonging to ST410 and ST889 among ESBL producing E. coli isolates from waterfowl birds in China's tropical island, Hainan. Acta Trop. (2019) 194:30–5. doi: 10.1016/j.actatropica.2019.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

86. El-Shazly DA, Nasef SA, Mahmoud FF, Jonas D. Expanded spectrum β-lactamase producing Escherichia coli isolated from chickens with colibacillosis in Egypt. Poult Sci. (2017) 96:2375–84. doi: 10.3382/ps/pew493

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Kolar M, Bardon J, Chroma M, Hricova K, Stosova T, Sauer P, et al. ESBL and AmpC beta-lactamase-producing Enterobacteriaceae in poultry in the Czech Republic. Vet Med. (2010) 55:119–24. doi: 10.17221/165/2009-VETMED

CrossRef Full Text | Google Scholar

88. Samanta I, Joardar SN, Mahanti A, Bandyopadhyay S, Sar TK, Dutta TK. Approaches to characterize extended spectrum beta-lactamase/beta-lactamase producing Escherichia coli in healthy organized vis-a-vis backyard farmed pigs in India. Infect Genet Evol. (2015) 36:224–30. doi: 10.1016/j.meegid.2015.09.021

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Samanta A, Mahanti A, Chatterjee S, Joardar SN, Bandyopadhyay S, Sar TK, et al. Pig farm environment as a source of beta-lactamase or AmpC-producing Klebsiella pneumoniae and Escherichia coli. Ann Microbiol. (2018) 68:781–91. doi: 10.1007/s13213-018-1387-2

CrossRef Full Text | Google Scholar

90. Liu X, Liu H, Wang L, Peng Q, Li Y, Zhou H, et al. molecular characterization of extended-spectrum β-lactamase-producing multidrug resistant Escherichia coli From Swine in Northwest China. Front Microbiol. (2018) 9:1756. doi: 10.3389/fmicb.2018.01756

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Nguyen DP, Nguyen TAD, Le TH, Tran NMD, Ngo TP, Dang VC, et al. Dissemination of extended-spectrum β -lactamase- and AmpC β -lactamase-producing Escherichia coli within the food distribution system of Ho Chi Minh City, Vietnam. Biomed Res Int. (2016) 2016:1–9. doi: 10.1155/2016/8182096

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Parveen RM, Manivannan S, Harish BN, Parija SC. Study of CTX-M type of EXTENDED spectrum β-lactamase among nosocomial isolates of Escherichia coli and Klebsiella pneumoniae in South India. Indian J Microbiol. (2012) 52:35–40. doi: 10.1007/s12088-011-0140-3

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Henig O, Weber G, Hoshen MB, Paul M, German L, Neuberger A, et al. Risk factors for and impact of carbapenem-resistant Acinetobacter baumannii colonization and infection: matched case–control study. Eur J Clin Microbiol Infect Dis. (2015) 34:2063–8. doi: 10.1007/s10096-015-2452-4

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Flood D. Stories from the field poverty, genocide, and superbugs: a carbapenem-resistant wound infection in rural Guatemala. Am J Trop Med Hyg. (2018) 99:561–2. doi: 10.4269/ajtmh.18-0260

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Ghatak S, Singha A, Sen A, Guha C, Ahuja A, Bhattacharjee U, et al. Detection of new delhi metallo-beta-lactamase and extended-spectrum beta-lactamase genes in Escherichia coli isolated from mastitic milk samples. Transbound Emerg Dis. (2013) 60:385–9. doi: 10.1111/tbed.12119

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Purkait D, Ahuja A, Bhattacharjee U, Singha A, Rhetso K, Dey TK, et al. Molecular characterization and computational modelling of New Delhi metallo-β-lactamase-5 from an Escherichia coli isolate (KOEC3) of bovine origin. Indian J Microbiol. (2016) 56:182–9. doi: 10.1007/s12088-016-0569-5

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Yaici L, Haenni M, Saras E, Boudehouche W, Touati A, Madec JY. blaNDM-5-carrying IncX3 plasmid in Escherichia coli ST1284 isolated from raw milk collected in a dairy farm in Algeria. J Antimicrob Chemother. (2016) 71:2671–2. doi: 10.1093/jac/dkw160

PubMed Abstract | CrossRef Full Text | Google Scholar

98. He T, Wang Y, Sun L, Pang M, Zhang L, Wang R. Occurrence and characterization of blaNDM-5-positive Klebsiella pneumoniae isolates from dairy cows in Jiangsu, China. J Antimicrob Chemother. (2017) 72:90–4. doi: 10.1093/jac/dkw357

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Tang B, Chang J, Cao L, Luo Q, Xu H, Lyu W, et al. Characterization of an NDM-5 carbapenemase-producing Escherichia coli ST156 isolate from a poultry farm in Zhejiang, China. BMC Microbiol. (2019) 19:82. doi: 10.1186/s12866-019-1454-2

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Ramadan H, Gupta SK, Sharma P, Ahmed M, Hiott LM, Barrett JB, et al. Circulation of emerging NDM-5-producing Escherichia coli among humans and dogs in Egypt. Zoonoses Public Health. (2020) 67:324–9. doi: 10.1111/zph.12676

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Tyson GH, Li C, Ceric O, Reimschuessel R, Cole S, Peak L, et al. Complete genome sequence of a carbapenem-resistant Escherichia coli isolate with blaNDM-5 from a dog in the United States. Microbiol Resour Announc. (2019) 8:e00872-19. doi: 10.1128/MRA.00872-19

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. (2020) 8:475–81. doi: 10.1016/S2213-2600(20)30079-5

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Biswas S, Brunel J-M, Dubus J-C, Reynaud-Gaubert M, Rolain J-M. Colistin: an update on the antibiotic of the 21st century. Expert Rev Anti Infect Ther. (2012) 10:917–34. doi: 10.1586/eri.12.78

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Chen L, Zhang J, Wang J, Butaye P, Kelly P, Li M, et al. Newly identified colistin resistance genes, mcr-4 and mcr-5, from upper and lower alimentary tract of pigs and poultry in China. PLoS ONE. (2018) 13:e0193957. doi: 10.1371/journal.pone.0193957

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Hernández M, Iglesias MR, Rodríguez-Lázaro D, Gallardo A, Quijada N, Miguela-Villoldo P, et al. Co-occurrence of colistin-resistance genes mcr-1 and mcr-3 among multidrug-resistant Escherichia coli isolated from cattle, Spain, September 2015. Eurosurveillance. (2017) 22:30586. doi: 10.2807/1560-7917.ES.2017.22.31.30586

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Rumi MV, Mas J, Elena A, Cerdeira L, Muñoz ME, Lincopan N, et al. Co-occurrence of clinically relevant β-lactamases and MCR-1 encoding genes in Escherichia coli from companion animals in Argentina. Vet Microbiol. (2019) 230:228–34. doi: 10.1016/j.vetmic.2019.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Zhou K, Cattoir V, Xiao Y. Intrinsic colistin resistance. Lancet Infect Dis. (2016) 16:1227–8. doi: 10.1016/S1473-3099(16)30394-2

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Elnahriry SS, Khalifa HO, Soliman AM, Ahmed AM, Hussein AM, Shimamoto T, et al. Emergence of plasmid-mediated colistin resistance gene mcr-1 in a clinical Escherichia coli isolate from Egypt. Antimicrob Agents Chemother. (2016) 60:3249–50. doi: 10.1128/AAC.00269-16

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Ghafur A, Shankar C, GnanaSoundari P, Venkatesan M, Mani D, Thirunarayanan MA, et al. Detection of chromosomal and plasmid-mediated mechanisms of colistin resistance in Escherichia coli and Klebsiella pneumoniae from Indian food samples. J Glob Antimicrob Resist. (2019) 16:48–52. doi: 10.1016/j.jgar.2018.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Malhotra-Kumar S, Xavier BB, Das AJ, Lammens C, Hoang HTT, Pham NT, et al. Colistin-resistant Escherichia coli harbouring mcr-1 isolated from food animals in Hanoi, Vietnam. Lancet Infect Dis. (2016) 16:286–7. doi: 10.1016/S1473-3099(16)00014-1

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Palmeira JD, Ferreira H, Madec J-Y, Haenni M. Draft genome of a ST443 mcr-1 - and bla CTX-M-2 -carrying Escherichia coli from cattle in Brazil. J Glob Antimicrob Resist. (2018) 13:269–70. doi: 10.1016/j.jgar.2018.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Liu X, Wang XJ. Potential inhibitors against 2019-nCoV coronavirus M protease from clinically approved medicines. J Genet Genomics. (2020) 47:119–21. doi: 10.1101/2020.01.29.924100

PubMed Abstract | CrossRef Full Text | Google Scholar

113. United Nations. Revision of World Population Prospects, United Nations. (2015). Available online at: https://population.un.org/wpp/Publications/Files/WPP2015_DataBooklet.pdf (accessed April 30, 2020).

114. Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutrition Rev. (2012) 70:3–21. doi: 10.1111/j.1753-4887.2011.00456.x

PubMed Abstract | CrossRef Full Text | Google Scholar

115. FAO. Shaping the Future of Livestock: Sustainably, Responsibly, and Efficiently. The 10th Global Forum for Food and Agriculture (GFFA). Berlin: Food and Agriculture Organization of the United Nations (2018).

116. FAO. Mapping Supply and Demand for Animal-Source Foods to 2030 Animal Production and Health Working Paper. (2011). Available online at: http://www.fao.org/docrep/014/i2425e/i2425e00.pdf (accessed April 30, 2020).

117. Nachman KE, Love DC, Baron PA, Nigra AE, Murko M, Raber G, et al. Nitarsone, inorganic arsenic, and other arsenic species in turkey meat: exposure and risk assessment based on a 2014. US market basket sample. Environ Health Prspct. (2017) 125:363–9. doi: 10.1289/EHP225

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Casey JA, Kim BF, Larsen J, Price LB, Nachman KE. Industrial food animal production and community health. Curr Environ Health Rep. (2015) 2:259–71. doi: 10.1007/s40572-015-0061-0

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Meyer PM, Rodrigues PH. Progress in the Brazilian cattle industry: an analysis of the agricultural censuses database. Anim Prod Sci. (2014) 54:1338–44. doi: 10.1071/AN14280

CrossRef Full Text | Google Scholar

120. Kearney J. Food consumption trends and drivers. Philos Trans R Soc Lond Biol Sci. (2010) 365:2793–807. doi: 10.1098/rstb.2010.0149

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Mengesha M. Chicken production scenarios and the headway options for improvement in Ethiopia. World's Poultry Sci J. (2012) 68:299–305. doi: 10.1017/S0043933912000359

CrossRef Full Text | Google Scholar

122. Li PJ. Exponential growth, animal welfare, environmental and food safety impact: the case of China's livestock production. J Agric Environ Ethics. (2009) 22:217–40. doi: 10.1007/s10806-008-9140-7

CrossRef Full Text | Google Scholar

123. Kim DP, Saegerman C, Douny C, Dinh TV, Xuan BH, Vu BD, et al. First survey on the use of antibiotics in pig and poultry production in the Red River Delta region of Vietnam. Food Public Health. (2013) 3:247–56. doi: 10.5923/j.fph.20130305.03

CrossRef Full Text | Google Scholar

124. MoA ILRI. Animal Health Strategy and Vision for Ethiopia. Addis Ababa, Ethiopia: Ministry of Agriculture and International Livestock Research Institute. (2013).

Google Scholar

125. Tatwangire A. Uganda Smallholder Pigs Value Chain Development: Situation Analysis and Trends. Nairobi, Kenya: International Livestock Research Institute (ILRI) (2014).

Google Scholar

126. Kahi AK, Wasike CB, Rewe TO. Beef production in the arid and semi-arid lands of Kenya: constraints and prospects for research and development. Outlook Agri. (2006) 35:217–25. doi: 10.5367/000000006778536800

CrossRef Full Text | Google Scholar

127. Johnson T. Banned Growth Chemical Remains a Problem in Beef in Central Mexico. McClatchy DC: McClatchy Washington Bureau (2014). Available online at: http://www.mcclatchydc.com/news/nationworld/world/latin-america/article24774313.html (accessed May 01, 2020).

128. Sone P, Aung Y. Country report Myanmar. In: Animal Production and Health Commision for Asia and the Pacific (APHCA) Conference Proceedings on Antimicrobial Use and Resistance in Livestock in the Asia-Pacific Region. Negombo (2012).

Google Scholar

129. Davies R, Wales A. Antimicrobial resistance on farms: a review including biosecurity and the potential role of disinfectants in resistance selection. Compr Rev Food Sci. (2019) 18:753–74. doi: 10.1111/1541-4337.12438

CrossRef Full Text | Google Scholar

130. Graham JP, Price LB, Evans SL, Graczyk TK, Silbergeld EK. Antibiotic resistant enterococci and staphylococci isolated from flies collected near confined poultry feeding operations. Sci Total Environ. (2009) 407:2701–10. doi: 10.1016/j.scitotenv.2008.11.056

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Samanta I, Joardar SN, Das PK. Biosecurity strategies for backyard poultry: a controlled way for safe food production. In: Holban AM, Grumezescu AM, editors. Food Control and Biosecurity. Cambridge: Academic Press (2018). p. 481–517.

Google Scholar

132. Samanta I, Joardar SN, Das PK. Current scenario of backyard poultry farming in West Bengal, India. Family Poultry Commun. (2016) 23:16–27.

Google Scholar

133. Ström G, Boqvist S, Albihn A, Fernström LL, Djurfeldt AA, Sokerya S, et al. Antimicrobials in small-scale urban pig farming in a lower middle-income country–arbitrary use and high resistance levels. Antimicrob Resist Infct Cntl. (2018) 7:35. doi: 10.1186/s13756-018-0328-y

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Samanta I, Joardar SN, Das PK, Sar TK, Bandyopadhyay S, Dutta TK, et al. Prevalence and antibiotic resistance profiles of Salmonella serotypes isolated from backyard poultry flocks in West Bengal, India. J Appl Poultry Res. (2014) 23:536–45. doi: 10.3382/japr.2013-00929

CrossRef Full Text | Google Scholar

135. Lhermie G, Gröhn YT, Raboisson D. Addressing antimicrobial resistance: an overview of priority actions to prevent suboptimal antimicrobial use in food-animal production. Front Microbiol. (2017) 7:2114. doi: 10.3389/fmicb.2016.02114

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Ozawa S, Evans DR, Bessias S, Haynie DG, Yemeke TT, Laing SK, et al. Prevalence and estimated economic burden of substandard and falsified medicines in low- and middle-income countries: a systematic review and meta-analysis. JAMA Netw open. (2018) 1:e181662. doi: 10.1001/jamanetworkopen.2018.1662

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Kingsley P. How Fake Animal Medicines Threaten African Livestock. Geneva: World Economic Forum. (2015) Available online at: https://www.weforum.org/agenda/2015/02/how-fake-animal-medicines-threaten-african-livestock/ (accessed April 28, 2020).

138. Zaman MH, Zaman MH. Bitter Pills: The global War on Counterfeit Drugs. New York, NY: Oxford University Press (2018).

Google Scholar

139. Gussmann M, Græsbøll K, Toft N, Nielsen SS, Farre M, Kirkeby C, et al. Determinants of antimicrobial treatment for udder health in Danish dairy cattle herds. J Dairy Sci. (2018) 101:505–17. doi: 10.3168/jds.2017-12994

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Van Boeckel TP, Glennon EE, Chen D, Gilbert M, Robinson TP, Grenfell BT, et al. Reducing antimicrobial use in food animals. Science. (2017) 357:1350–2. doi: 10.1126/science.aao1495

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Giubilini A, Birkl P, Douglas T, Savulescu J, Maslen H. Taxing meat: taking responsibility for one's contribution to antibiotic resistance. J Agric Environ Ethics. (2017) 30:179–98. doi: 10.1007/s10806-017-9660-0

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Pathak M, Mandal GP, Patra AK, Samanta I, Pradhan S, Haldar S. Effects of dietary supplementation of cinnamaldehyde and formic acid on growth performance, intestinal microbiota and immune response in broiler chickens. Anim Prod Sci. (2017) 57:821–7. doi: 10.1071/AN15816

CrossRef Full Text | Google Scholar

143. Chowdhury S, Mandal GP, Patra AK, Kumar P, Samanta I, Pradhan S, et al. Different essential oils in diets of broiler chickens: 2. Gut microbes and morphology, immune response, and some blood profile and antioxidant enzymes. Anim Feed Sci Technol. (2018) 236:39–47. doi: 10.1016/j.anifeedsci.2017.12.003

CrossRef Full Text | Google Scholar

144. Seow YX, Yeo CR, Chung, HL, Yuk HG. Plant essential oils as active antimicrobial agents. Crit Rev Food Sci Nutr. (2014) 54:625–44. doi: 10.1080/10408398.2011.599504

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Ferdous J, Sachi S, Al Noman Z, Hussani SMAK, Sarker YA, Sikder MH. Assessing farmers' perspective on antibiotic usage and management practices in small-scale layer farms of Mymensingh district, Bangladesh. Vet World. (2019) 12:1441–7. doi: 10.14202/vetworld.2019.1441-1447

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Walia K, Sharma M, Vijay S, Shome B. Understanding policy dilemmas around antibiotic use in food animals & offering potential solutions. Indian J Med Res. (2019) 149:107. doi: 10.4103/ijmr.IJMR_2_18

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Caudell MA, Dorado-Garcia A, Eckford S, Creese C, Byarugaba DK, Afakye K, et al. Towards a bottom-up understanding of antimicrobial use and resistance on the farm: A knowledge, attitudes, and practices survey across livestock systems in five African countries. PLoS ONE. (2020) 15:e0220274. doi: 10.1371/journal.pone.0220274

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Ashley EA, Shetty N, Patel J, van Doorn R, Limmathurotsakul D, Feasey NA, et al. Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings. J Antimicrob Chemother. (2019) 74:541–6. doi: 10.1093/jac/dky487

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Caly L, Druce JD, Catton MG, Jans DA, Wagstaff KM. The FDA-approved drug ivermectin inhibits the replication of SARS-CoV-2 in vitro. Antiviral Res. (2020) 178:104787. doi: 10.1016/j.antiviral.2020.104787

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Janowitz T, Gablenz E, Pattinson D, Wang TC, Conigliaro J, Tracey, et al. Famotidine use and quantitative symptom tracking for COVID-19 in non-hospitalised patients: a case series. Gut. (2020) 69:1592–7. doi: 10.1136/gutjnl-2020-321852

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Coomes EA Haghbayan H. Favipiravir, an antiviral for COVID-19? J Antimicrob Chemother. (2020) 75:2013–14. doi: 10.1093/jac/dkaa171

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Green ML, Lescure FX, Nicastri E, Oda R, Yo K, Quiros-Roldan E, et al. Compassionate use of remdesivir for patients with severe Covid-19. N Engl J Med. (2020) 382:2327–36. doi: 10.1056/NEJMc2015312

PubMed Abstract | CrossRef Full Text

153. Dogra N, Kumar A, Mukhopadhyay T. Fenbendazole acts as a moderate microtubule destabilizing agent and causes cancer cell death by modulating multiple cellular pathways. Sci Rep. (2018) 8:11926. doi: 10.1038/s41598-018-30158-6

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Miró-Canturri A, Ayerbe-Algaba R, Smani Y. Drug repurposing for the treatment of bacterial and fungal infections. Front Microbiol. (2019) 10:41. doi: 10.3389/fmicb.2019.00041

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Hsu J. How covid-19 is accelerating the threat of antimicrobial resistance. British Med J. (2020) 369:m1983. doi: 10.1136/bmj.m1983

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Wood F. Antimicrobial Resistance and Medical Sociology: Research Brief. Cardiff, Wales: ESRC AMR Research Champion/University of Bristol, Cardiff University. (2016). p. 1–15.

Keywords: backyard, COVID, food animals, mitigation, industrial food animal production, antimicrobial resistance

Citation: Bandyopadhyay S and Samanta I (2020) Antimicrobial Resistance in Agri-Food Chain and Companion Animals as a Re-emerging Menace in Post-COVID Epoch: Low-and Middle-Income Countries Perspective and Mitigation Strategies. Front. Vet. Sci. 7:620. doi: 10.3389/fvets.2020.00620

Received: 01 June 2020; Accepted: 30 July 2020;
Published: 09 October 2020.

Edited by:

Marina Spinu, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Romania

Reviewed by:

Yves Millemann, INRA École Nationale Vétérinaire d'Alfort (ENVA), France
Meera Surendran Nair, Pennsylvania State University (PSU), United States

Copyright © 2020 Bandyopadhyay and Samanta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Indranil Samanta, isamanta76@gmail.com; drisamanta@wbuafscl.ac.in

Download