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Molecular diversity of Giardia duodenalis in children under 5 years from the Manhiça district, Southern Mozambique enrolled in a matched case-control study on the aetiology of diarrhoea

  • Augusto Messa Jr.,

    Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique

  • Pamela C. Köster,

    Roles Data curation, Formal analysis, Investigation, Software, Writing – review & editing

    Affiliation Parasitology Reference and Research Laboratory, National Centre for Microbiology, Health Institute Carlos III, Majadahonda, Madrid, Spain

  • Marcelino Garrine,

    Roles Data curation, Investigation, Supervision, Validation, Writing – review & editing

    Affiliations Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique, Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical (IHMT), Universidade Nova de Lisboa (UNL), Lisbon, Portugal

  • Carol Gilchrist,

    Roles Methodology, Validation, Visualization, Writing – review & editing

    Affiliation University of Virginia, Charlottesville, Virginia, United States of America

  • Luther A. Bartelt,

    Roles Methodology, Validation, Visualization, Writing – review & editing

    Affiliation Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Tacilta Nhampossa,

    Roles Investigation, Supervision, Writing – review & editing

    Affiliations Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique, Instituto Nacional de Saúde (INS), Ministério da Saúde, Maputo, Mozambique

  • Sérgio Massora,

    Roles Investigation, Supervision, Writing – review & editing

    Affiliation Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique

  • Karen Kotloff,

    Roles Funding acquisition, Methodology, Resources, Visualization, Writing – review & editing

    Affiliation Center for Vaccine Development (CVD), University of Maryland School of Medicine, Baltimore, Maryland, United States of America

  • Myron M. Levine,

    Roles Funding acquisition, Methodology, Resources, Visualization, Writing – review & editing

    Affiliation Center for Vaccine Development (CVD), University of Maryland School of Medicine, Baltimore, Maryland, United States of America

  • Pedro L. Alonso,

    Roles Funding acquisition, Methodology, Resources, Visualization, Writing – review & editing

    Affiliations Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique, ISGlobal, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain

  • David Carmena ,

    Contributed equally to this work with: David Carmena, Inácio Mandomando

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    dacarmena@isciii.es (DC); inacio.mandomando@manhica.net (IM)

    Affiliation Parasitology Reference and Research Laboratory, National Centre for Microbiology, Health Institute Carlos III, Majadahonda, Madrid, Spain

  • Inácio Mandomando

    Contributed equally to this work with: David Carmena, Inácio Mandomando

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    dacarmena@isciii.es (DC); inacio.mandomando@manhica.net (IM)

    Affiliations Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique, Instituto Nacional de Saúde (INS), Ministério da Saúde, Maputo, Mozambique

Abstract

Giardia duodenalis is an enteric parasite commonly detected in children. Exposure to this organism may lead to asymptomatic or symptomatic infection. Additionally, early-life infections by this protozoan have been associated with impaired growth and cognitive function in poor resource settings. The Global Enteric Multicenter Study (GEMS) in Mozambique demonstrated that G. duodenalis was more frequent among controls than in diarrhoeal cases (≥3 loosing stools in the previous 24 hours). However, no molecular investigation was conducted to ascertain the molecular variability of the parasite. Therefore, we describe here the frequency and genetic diversity of G. duodenalis infections in children younger than five years of age with and without diarrhoea from the Manhiça district in southern Mozambique enrolled in the context of GEMS. Genomic DNA from 757 G. duodenalis-positive stool samples by immunoassay collected between 2007–2012, were reanalysed by multiplex PCR targeting the E1-HP and C1-P21 genes for the differentiation of assemblages A and B. Overall, 47% (353) of the samples were successfully amplified in at least one locus. Assemblage B accounted for 90% (319/353) of all positives, followed by assemblage A (8%, 29/353) and mixed A+B infections (1%, 5/353). No association between the presence of a given assemblage and the occurrence of diarrhoea could be demonstrated. A total of 351 samples were further analysed by a multi-locus sequence genotyping (MLSG) approach at the glutamate dehydrogenase (gdh), ß-giardin (bg) and triose phosphate isomerase (tpi) genes. Overall, 63% (222/351) of samples were genotyped and/or sub-genotyped in at least one of the three markers. Sequence analysis revealed the presence of assemblages A (10%; 23/222) and B (90%; 199/222) with high molecular diversity at the nucleotide level within the latter; no mixed infections were identified under the MLSG scheme. Assemblage A sequences were assigned to sub-assemblages AI (0.5%, 1/222), AII (7%, 15/222) or ambiguous AII/AIII (3%, 7/222). Within assemblage B, sequences were assigned to sub-assemblages BIII (13%, 28/222), BIV (14%, 31/222) and ambiguous BIII/BIV (59%, 132/222). BIII/BIV sequences accumulated the majority of the single nucleotide polymorphisms detected, particularly in the form of double peaks at chromatogram inspection. This study demonstrated that the occurrence of gastrointestinal illness (diarrhoea) was not associated to a given genotype of G. duodenalis in Mozambican children younger than five years of age. The assemblage B of the parasite was responsible for nine out of ten infections detected in this paediatric population. The extremely high genetic diversity observed within assemblage B isolates was compatible with an hyperendemic epidemiological scenario where infections and reinfections were common. The obtained molecular data may be indicative of high coinfection rates by different G. duodenalis assemblages/sub-assemblages and/or genetic recombination events, although the exact contribution of both mechanisms to the genetic diversity of the parasite remains unknown.

Author summary

Giardia duodenalis is a globally distributed enteric parasite, and the most detected intestinal protozoan in children. Infection by this pathogen can evolve from asymptomatic to chronic disease with a range of gastrointestinal manifestations including diarrhoea. In endemic areas, early infection in childhood can contribute to impaired growth and cognitive function. This organism is currently divided in 8 distinct (A-H) genetic groups (assemblages) with marked differences in host range and specificity and even geographical distribution. Therefore, molecular studies aiming at investigating the genetic diversity of the parasite are cornerstone to assess its transmission dynamics. By using targeted-molecular genotyping methods based on PCR and sequencing, we demonstrated here that i) the occurrence of diarrhoea in Mozambican young children infected with G. duodenalis was not linked to a given assemblage of the parasite, ii) assemblage B was the most prevalent genetic variant of G. duodenalis circulating in the surveyed paediatric population, being responsible for 90% of the infections, and iii) G. duodenalis assemblage B was characterised by an extremely high genetic diversity impairing the correct allocation of isolates to sub-assemblages BIII or BIV, a fact that may be due to elevated coinfection rates or the occurrence of genetic recombination. This study represents the largest and most comprehensive molecular investigation evaluating the genetic diversity of G. duodenalis in young children with and without diarrhoea conducted in Mozambique to date. In conjunction with previous risk assessment analyses carried out in the country, the data presented here highlights the need of additional population genetic and epidemiological studies to characterise the epidemiology and transmission dynamics of G. duodenalis in Mozambique. Of particular interest would be the investigation of the parasite in environmental water samples and in domestic animal species susceptible of acting as suitable reservoirs of human infections.

Introduction

Diarrheal diseases remain the second leading cause of mortality in children under 5 years of age worldwide, accounting for 9% of the approximately 5.8 million deaths in 2015 [1,2]. Most of these deaths occurred in sub-Saharan Africa and South Asia, where poor hygiene conditions and insufficient sanitation facilities prevail [3]. The recent update on diarrheal burden from the Global Enteric Multicenter Study (GEMS) [4,5] demonstrated that Rotavirus, Cryptosporidium spp., enterotoxigenic Escherichia coli producing heat stable toxin (ST_ETEC), and Shigella were the leading pathogens associated with moderate-to-severe diarrhoea (MSD) in African and Asian children, in contrast to Giardia duodenalis that was inversely associated with MSD [4].

Giardia duodenalis (synonyms: G. intestinalis and G. lamblia) is a globally distributed enteric parasite, and the most commonly detected intestinal protozoan in children [6,7]. The natural history following G. duodenalis exposure may lead to either asymptomatic or symptomatic infection ranging from acute diarrhoea to chronic syndrome with weight loss and malabsorption. When present, nausea, vomiting, bloating, and abdominal pain are other clinical manifestations commonly reported. In children in endemic regions, early-life infections by G. duodenalis have been associated with stunting (low height for age), wasting (low weight for height), and impaired cognitive function [810]. However, asymptomatic infections in African children have been commonly reported in several sub-Saharan countries [1115]. Progression from infection to disease is a multifactorial process involving both host (age, immune and nutritional status, microbiota composition and abundance) and pathogen (burden, genotype, virulence, immunomodulatory potential) determinants whose interactions and exact contribution to the tilting of the health-disease balance are not completely understood [16,17].

Molecular studies designate G. duodenalis as a species complex consisting of eight (A–H) assemblages [1820]. Assemblages A and B have widely been known to infect humans and other mammals [6,19,2123], while assemblages C, E and F have strong non-human host specificities and only cause sporadic human infections [2426]. There is also geographical segregation in G. duodenalis assemblages. For instance, assemblage A is more prevalent than assemblage B in the Middle East countries compared to Europe, where the opposite occurs [27]. Extensive genetic variation within assemblages has led to the establishment of sub-assemblages (e.g.: AI, AII, AIII; BIII, BIV). Various G. duodenalis loci including the genes coding for the small subunit ribosomal RNA (ssu rRNA), the β-giardin (bg), the glutamate dehydrogenase (gdh), the triosephosphate isomerase (tpi), and the elongation factor 1-alpha (EF-1α) of the parasite, among others, have been used for genotyping and sub-genotyping purposes [19,27]. However, this typing strategy has some disadvantages such as the intrinsic complexity of molecular methods (nested-PCR followed by either restriction length fragment polymorphisms or DNA sequencing) and the requirement for equipment which is not readily available for most laboratories due to elevated costs among other factors. As assemblage typing is a fundamental tool when studying the molecular epidemiology of G. duodenalis, simpler methods (such as assemblage-specific PCR protocols) have been developed and implemented in field surveys [21,22,28,29].

In Africa, the molecular epidemiology of G. duodenalis remains largely unknown, despite the fact that different PCR-based methods have been employed to detect and molecularly characterise the parasite in faecal material from human (children and adults, healthy and immunocompromised individuals) and animal (livestock, wildlife) sources and, to a much lesser extent, in environmental (mainly water) samples [9]. In humans, reported prevalence ranged from <1% (in HIV-positive and negative individuals) to >62% (in primary school children) [9]. Genotyping studies from human isolates in Africa targeting the bg, gdh, and tpi loci have identified G. duodenalis assemblage B (sub-assemblages BIII and BIV) as the most common genetic variant of the parasite, followed by assemblage A (sub-assemblages AI and AII) [9]. Human infections by canine-specific (C), ungulate-specific (E), and feline-specific (F) assemblages have been less frequently documented, primarily in children and immunocompromised individuals [9].

During the GEMS study in Mozambique, G. duodenalis was found to be more frequent among controls than in cases, which may indicate a potential “protective” effect against diarrhoea, as has also been described in other sub-Saharan countries [3032]. However, early human challenge studies demonstrated strain-dependent differences in the pathogenicity of G. duodenalis infections [33]. Subsequent molecular investigations studies have attempted to correlate the genotype of G. duodenalis and the occurrence of diarrhoea with inconclusive or even contradictory results [34,35]. However, most of these surveys were not designed as proper case-control studies, making difficult the obtaining of robust data and valid conclusions. Therefore, assessing the molecular diversity of G. duodenalis strains circulating is critical to assess the disease burden and transmission dynamics. Herein we describe the frequency and genetic diversity of G. duodenalis detected in symptomatic and asymptomatic children from the Manhiça district enrolled in the context of GEMS between 2007–2012 as a first step to understand the molecular epidemiology of this parasite in Mozambique.

Methods

Ethics statement

The GEMS protocol, data collection tools and informed consent were reviewed and approved by the Mozambican National Bioethics Committee for Health (Ref: 11/CNBS/07), the ethics committee of Hospital Clinic of Barcelona (Spain; File 2006/3260) and the Institutional Review Board for Human Subject Research at University of Maryland Baltimore (USA). After informing the objectives and characteristics of the study to each child’s caretaker, two copies of a written informed consent were signed by those who agreed to participate. One copy was given to the caretaker and the other was stored in a secure archive at the Centro de Investigação em Saúde de Manhiça (CISM). All patient personal data and information was anonymized or de-identified.

Study site and study design

In Mozambique, the GEMS was conducted by the CISM in 6 health facilities in the Manhiça district [36], located approximately 80 km north of the capital city Maputo, southern Mozambique. The area covers 2,380 km2 and has a subtropical climate, with two distinct seasons: a warm, rainy season from November to April, and the cool and dry season during the rest of the year [37,38]. Since 1996, CISM has been conducting a continuous Health and Demographic Surveillance System–HDSS (current population followed: 203,132 individuals; 46,851 enumerated and geo-positioned households; children under 5 years: 27,504) with regular updates of all demographic events. During the study period the HDSS was covering approximately 95,000 inhabitants [37].

The rationale, study design and methodology of the GEMS have been previously described elsewhere [39,40]; the study comprised 3 years of acute moderate-to-severe diarrhoea (MSD, GEMS1) and one additional year including less-severe diarrhoea (LSD and MSD, GEMS1A) [4,5], however for the Manhiça site in Mozambique, an additional year between GEMS1 and GEMS1A was included to assess the role of HIV on diarrhoeal aetiology and outcome, thus data and samples were collected uninterruptedly over 5 years. GEMS1 was conducted from December 2007 to October 2011, and GEMS1A from November 2011 to November 2012. The standardized epidemiological and clinical methods for the case-control study, as well as the full definitions have been previously described elsewhere [36,41]. Briefly, all children aged 0–59 months (stratified in three age groups: 0–11 months, 12–23 months, and 24–59 months), presenting with diarrhoea at six sentinel health facilities and meeting inclusion criteria for the study were invited to participate. Community controls (up to three for MSD cases and one for LSD cases) matched to the index case by age, sex, and neighbourhood, were identified using the HDSS databases and enrolled within 14 days after enrolment of the case, and the stool sample collected and sent to the laboratory at CISM [36].

Stool collection and G. duodenalis screening (GEMS)

The stool sample collection and processing protocols were as described elsewhere [36,42]. Samples were collected in sterile flasks and placed in a cool-box (2–8°C) for up to 6 hours until transported to the laboratory. Sample aliquots were frozen at –80°C for further testing. Specifically, for G. duodenalis detection, the GIARDIA II immunoassay (TECHLAB, Blacksburg, VA, USA) was used as screening test directly on frozen-thawed stools, following the manufacturer’s instructions.

Molecular study

During the 5 years of GEMS in Manhiça 3,754 stool samples were collected from 1,346 diarrheal cases and 2,408 controls. Giardia duodenalis was detected by immunoassay in 27% (1,029/3,754) of the samples. The parasite was significantly less common in diarrheal cases (20%, 271/1,346) than in non-diarrheal controls (32%, 758/2,408) (P <0.001). All Giardia-positive samples (n = 757) available at CISM’s biobank were retrieved. Genomic DNAs were extracted and purified using the QIAamp DNA Stool Mini Kit (QIAGEN, Hilden, Germany), and used for downstream molecular testing. Fig 1 shows the distribution of samples among diarrheal cases and controls.

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Fig 1. Study profile of stool samples analysed for molecular typing.

https://doi.org/10.1371/journal.pntd.0008987.g001

Assemblage identification by conventional multiplex PCR

Detection and differentiation of G. duodenalis assemblages A and B were attempted in all extracted DNAs (n = 757) by an assemblage-specific multiplex PCR method based on primers targeting the genes coding for a hypothetical protein (E1-HP) and protein 21.1 (C1-P21) of the parasite [22]. PCR reactions (25 μL) contained 12.5 μL of 2X QIAGEN Multiplex PCR Master Mix, 5 μL of 5X Q solution, 2.5 μL RNase-free water (QIAGEN), 0.2 μM of each primer (S1 Table), and 3 μL of DNA template. PCR protocols were conducted on MasterCycler Nexus Gradient thermocyclers (Eppendorf AG, Hamburg, Germany) starting with an initial denaturation and enzyme activation step at 95°C for 15 min, followed by 40 cycles of amplification (denaturation at 94°C for 30 s, annealing at 56.6°C for 90 s and elongation at 72°C for 30 s), and a final extension step at 72°C for 7 min. Laboratory PCR and sequencing confirmed positive DNA samples of G. duodenalis assemblages A and B and nuclease-free water were included in each PCR run as positive and no template controls, respectively.

PCR products were electrophoresed at 100 V for 75 min in 2% agarose gels stained with 0.25 μg/mL ethidium bromide solution and photographed using the Gel Doc EZ Documentation System and ImageLab software version 5.2.1 (Bio-Rad Laboratories Inc., Hercules, CA, USA). DNA aliquots from multiplex PCR-positive samples were shipped to the Spanish National Centre for Microbiology (SNCM) in Majadahonda (Madrid) for further genotyping and sub-genotyping analyses.

Validation of conventional multiplex PCRs

To assess the diagnostic performance of the conventional multiplex PCR assay used here, a subset of aliquoted stool samples (n = 171) from the CISM’s biobank were randomly selected using matched cases and controls and shipped to the Center for Vaccine Development in Baltimore (USA). These samples were independently processed and analysed using TaqMan Array Card (TAC) qPCR as previously described [43]. The method specifically targets the 18S rRNA (for species identification) and the triosephosphate isomerase (tpi, for assemblage differentiation) genes of G. duodenalis. All assays were run on customized TACs for the detection of multiple enteric pathogens [43,44].

Multilocus sequence genotyping (MLSG)

A multi-locus sequence genotyping (MLSG) approach was conducted at the gdh, bg, and tpi genes of the parasite. A semi-nested-PCR protocol was used to amplify a partial fragment (432 bp) of gdh using the outer primers GDHe_F and GDHi_R, and the inner primers GDHi_F and GDHi_R (S1 Table) [45]. PCR reaction mixtures (25 μL) consisted of 5 μL of genomic DNA and 0.5 μM of each primer. After an initial denaturation step of 3 min at 95°C, followed by 35 cycles of amplification (denaturation at 95°C for 30 s, annealing at 55°C for 30 s, and elongation at 72°C for 1 min), and a final extension at 72°C for 7 min.

A nested-PCR protocol was used to amplify a 511-bp fragment of bg using the outer primers G7_F and G759_R and the inner primers G99_F and G609_R (S1 Table) [46]. PCR reactions (25 μL) included 3 μL of genomic DNA and 0.4 μM of each primer. Cycling parameters for the primary PCR reaction were an initial step of 95°C for 7 min, followed by 35 cycles of amplification (95°C for 30 s, 65°C for 30 s, and 72°C for 1 min) with a final extension of 72°C for 7 min. The same conditions were used in the secondary PCR except that the annealing temperature was 55°C.

A nested-PCR protocol was used to amplify a 530-bp fragment of tpi using outer primers AL3543_F and AL3546_R and the inner primers AL3544_F and AL3545_R (S1 Table) [47]. PCR reactions (50 μL) included 2 μL and 2.5 μL of genomic DNA and 0.4 μM of each primer. Cycling parameters for both PCR reactions were an initial step of 95°C for 5 min, followed by 35 cycles of 94°C for 45 s, 50°C for 45 s, and 72°C for 1 min with a final extension of 72°C for 10 min.

All PCR protocols described above were conducted on a 2720 thermocycler (Applied Biosystems, CA, USA). Reaction mixes included 2.5 units of MyTAQ DNA polymerase (Bioline GmbH, Luckenwalde, Germany), and 5× MyTaq Reaction Buffer containing 5 mM dNTPs and 15 mM MgCl2. Laboratory PCR-confirmed positive and negative DNA samples for G. duodenalis were used as controls and included in each round of PCR. PCR amplicons were visualised on 2% D5 agarose gels (Conda, Madrid, Spain) stained with Pronasafe nucleic acid staining solution (Conda). Amplicons of the expected size were directly sequenced in both directions using the internal primer set described above. DNA sequencing was conducted by capillary electrophoresis using an Applied Biosystems ABI PRISM 3130 automated DNA analyser at the Core Genomic Facility of the Spanish National Centre for Microbiology, Majadahonda (Spain). Sequencing reactions were repeated on samples for which genotyping was unsuccessful in the first instance.

Statistical analyses

PCR results were entered in a Microsoft Excel spreadsheet and then checked for consistency by independent laboratory personnel. Data on study groups (diarrhoeal vs. non-diarrhoeal, MSD vs. LSD) and age categories were extracted from the original GEMS dataset. Giardia duodenalis assemblages, study groups (diarrhoeal vs. non-diarrhoeal, MSD vs. LSD), age categories, and study years were treated as categorical variables and summarized in tables. Differences in frequencies were compared using Chi-squared test or Fisher’s exact test as appropriate with significance set at 5%, using Stata version 14 (StataCorp LP, College Station, Texas, USA).

Sequence and phylogenetic analyses

Raw sequencing data in both forward and reverse directions were visually inspected using the Chromas Lite version 2.1 sequence analysis program (http://chromaslite.software.informer.com/2.1/). Special attention was paid to the detection and recording of ambiguous (double peak) positions. The BLAST tool (http://blast.ncbi.nlm.nih.gov/Blast.cgi) was used to search for identity among sequences deposited in the National Center for Biotechnology Information (NCBI) public repository database. Multiple sequence alignment analyses with appropriate reference sequences were conducted using MEGA 6 to identify G. duodenalis assemblages and sub-assemblages, and to annotate the presence of single nucleotide polymorphisms (SNPs) [48]. Detected SNPs were categorized in transition (C↔T and A↔G) mutations, transversion (A↔C, A↔T, G↔C, and G↔T) mutations, and heterozygous (double) peaks at chromatogram inspection.

The evolutionary relationships among the identified G. duodenalis-positive samples were inferred by a phylogenetic analysis using the Neighbor-Joining method in MEGA 6. Only sequences with unambiguous (no double peak) positions were used in the analyses. The evolutionary distances were computed using the Kimura 2-parameter method and modelled with a gamma distribution. The reliability of the phylogenetic analyses at each branch node was estimated by the bootstrap method using 1,000 replications. Representative sequences of different G. duodenalis assemblages and sub-assemblages were retrieved from the NCBI database and included in the phylogenetic analysis for reference and comparative purposes. Representative sequences obtained in the present study were deposited in GenBank under the accession numbers MT292375-MT292550 (gdh locus), MT332722-MT332817 (bg locus) and MT427464-MT427585 (tpi locus).

Results

Assemblage identification by conventional multiplex PCR

Overall, only 47% (353/757) of the original Giardia-positive samples by immunoassay were successfully amplified by conventional multiplex PCR in at least one locus, with 40% (299/757) of them being positive at the E1-HP locus and 31% (236/757) at the C1-P21 locus, respectively; amplifications at both loci were achieved in 24% (180/757) of the samples with no result disagreement between them. Assemblage B accounted for 90% (319/353) of all positive samples, followed by assemblage A (8%, 29/353) and mixed A+B infections (1%, 5/353) (Table 1).

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Table 1. Giardia duodenalis assemblage distribution in samples (n = 757) analysed by conventional multiplex PCR according to the genetic marker used.

https://doi.org/10.1371/journal.pntd.0008987.t001

Validation of conventional multiplex PCR by TAC qPCR

To assess the accuracy of assemblage identification, a total of 171 stool samples with a G. duodenalis positive-result by immunoassay were independently processed and analysed by conventional multiplex PCR at the E1–HP and C1-P21 loci (Manhiça, Mozambique) and by TAC qPCR at the tpi locus (Baltimore, USA). The obtained results by both methods were compared in Table 2. TAC qPCR typed 2-fold more samples than conventional multiplex PCR (83% vs. 43%); however, the frequencies of assemblage distribution were similar regardless of the typing strategy followed (B: ~90%; A: ~10%). Mixed A+B infections were detected by TAC qPCR only. Some discrepancies in assemblage assignment were noticed: (i) one A and two B samples by conventional multiplex PCR were identified as B and A (respectively) by TAC qPCR; and (ii) a B sample by conventional multiplex PCR was identified as a mixed A+B infection by TAC qPCR.

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Table 2. Giardia duodenalis assemblage distribution in samples (n = 171) analysed by conventional multiplex PCR and TAC qPCR.

https://doi.org/10.1371/journal.pntd.0008987.t002

Multi-locus sequence genotyping analyses

Out of the 353 samples with a positive result by conventional multiplex PCR, 351 were available for MLSG analyses. Amplification success rates associated to good-quality sequences were 58% (205/351) for gdh, 41% (142/351) for bg, and 42% (146/351) for tpi, respectively. Overall, 63% (222/351) of samples were genotyped and/or sub-genotyped at least in one of the three markers analysed; MLSG data was obtained from 31% (108/351) of the samples (S2 Table). Sequence analyses revealed the presence of assemblages A (10%; 23/222) and B (90%; 199/222). No mixed infections involving assemblages A+B, or by host-specific assemblages C–H, were detected (Table 3). Within assemblage A, AII was the most prevalent sub-assemblage found (7%, 15/222), followed by ambiguous AII/AIII results (3%, 7/222) and AI (0.5%, 1/222). Within assemblage B, most (59% 132/222) of the sequences corresponded to ambiguous BIII/BIV results. BIII and BIV were present at remarkably similar proportions (13%, 28/222, and 14%, 31/222, respectively). Five samples (2%, 5/222) yielded positive results at the bg loci only and their sequences were, therefore, assigned to the assemblage B with unknown sub-assemblage.

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Table 3. Giardia duodenalis assemblage and sub-assemblage distribution in samples (n = 222) analysed by MLGS at the gdh, bg, and/or tpi loci according to the sex, age group and clinical manifestations of the investigated children population.

https://doi.org/10.1371/journal.pntd.0008987.t003

Table 3 also shows the G. duodenalis assemblage and sub-assemblage distribution, as determined by MLSG at the gdh, bg, and tpi loci, according to the sex and presence/absence of diarrhoea in the children population surveyed.

Regarding sex, assemblage A was present at equal proportions in boys (5%, 12/222) and girls (5%, 11/222), whereas boys (52%, 115/222) were more infected than girls (38%, 84/222) by the assemblage B (χ2 = 0.265, P = 0.606). Assemblage distribution was not age-dependent (P = 0.070), although assemblage A was rarely seen (< 1%, 1/222) in children younger than 12 months, and most of the assemblage B infections accumulated in children in the age group of 12–23 months (40%, 89/222). Regarding the presence of clinical manifestations (diarrhoea), assemblage A was more prevalent in controls (8%, 18/222) than in cases (2%, 5/222). The same was true for assemblage B (57%, 127/222 vs. 32%, 72/222), so no association between the parasite´s genotype and the occurrence of diarrhoea could be demonstrated (χ2 = 1.898, P = 0.168).

At the sub-assemblage level, AII was 2-fold more prevalent in males (5%, 10/222) than in females 2% (5/222). This sub-assemblage primarily affected children in the age group of 24–59 months (5%, 10/222) and children without diarrhoea (5%, 12/222). A similar trend was observed for BIII/BIV samples within assemblage B, which were more prevalent in children in the age group of 24–59 months (26%, 58/222) and children without diarrhoea (37%, 83/222).

Intra-assemblage genetic diversity description

The whole datasets detailing the genetic diversity of the gdh, bg, and tpi representative sequences at the nucleotide level generated in the present study are shown in S3S5 Tables. Provided information for each sequence included stretch, single nucleotide polymorphisms (SNPs), mutations involved in amino acid change, sample identification number, and GenBank accession number.

At the gdh locus 203 out of the 205 available sequences were fully characterised. Out of the 20 assemblage A sequences, one was identified as sub-assemblage AI and showed a SNP in the form of a double peak A/R in position 238 of reference sequence L40509. The other 19 sequences were identified as sub-assemblage AII and were 100% identical to reference sequence L40510 (S3A Table). Virtually all (24/25) BIII sequences were different among them, differing by 1–10 SNPs from reference sequence AF069059. Sites were SNPs tended to accumulate (defined by convenience as hotspots) included positions C99, T147, G150, and C309 of reference sequence AF069059. Some double peak positions and a transversion (C185A) mutation were involved in amino acid change in the protein sequence (S3A Table). Out of the 59 BIV sequences only four had 100% identity with reference sequence L40508, with the remaining 55 differing from it by 1–8 SNPs and most of them representing distinct genotypes of the parasite. Hotspots where SNPs tended to accumulate included positions T183, T387, C396, and C423 of reference sequence L40508. Some double peaks were potentially involved in amino acid change at the polypeptidic chain. No transversion mutations were detected (S3B Table). All 99 sequences with ambiguous BIII/BIV results were different among them, differing also by 4–16 SNPs from reference sequence L40508. Hotspots where SNPs tended to accumulate included positions T135, T183, G186, C255, C273, C345, T366, C372, T387, and A438 of reference sequence L40508. Because of the ambiguity of these sequences, SNPs involved in amino acid change were not determined. No transversion mutations were detected (S3C Table).

At the bg locus, a total of 142 sequences were fully characterised. Out of the 14 assemblage A sequences, six belonged to AII and eight to AIII. Five of the AII sequences were identical to reference sequence AY072723, with the remaining one differing from it by two SNPs. Seven of the AIII sequences were identical to reference sequence AY072724, with the remaining one differing from it by two transversion (C426G and C525A) mutations. A large genetic variability was observed within the 128 sequences assigned to B (S4 Table); of them, eight sequences had 100% identity with reference sequence AY072727. The remaining 120 B sequences differed from AY072727 by 1–8 SNPs, including a sequence with a C insertion in position 339 that introduced a stop codon. Nine sequences showed a distinctive SNP pattern A183, C309, T519, and C564. These positions, together with C165 were the main hotspots in B. Most of the remaining sequences represented variations in the number or presentation (mutation, double peak) of these SNPs. Several transition mutations and ambiguous positions were involved in amino acid change. No transversion mutations were detected within B sequences (S4 Table).

At the tpi locus a total of 146 sequences were fully characterised. All 11 assemblage A sequences were identified as AII. Of them, 10 were identical to reference sequence U57897, and the remaining one differed from it by a single transversion (C394R) mutation. Out of the 85 sequences assigned to BIII, eight showed 100% identity with reference sequence AF069561. The remaining 77 sequences had a large genetic diversity and were distributed in 72 distinct genotypes, most of them presenting different combinations of the hotspot positions C34, G105, C108, C141, and G153. Several double peaks, transition, and transversion mutations were involved in amino acid change at the protein level (S5A Table). Similarly, all 12 sequences identified as BIV were different among them, differing by 2–11 SNPs with reference sequence AF069560. Hotspot positions included A176 and A395. Several double peaks, transition, and transversion (A437C) mutations were associated with amino acid change in the protein chain (S5B Table). In line with the very high degree of genetic heterogeneity observed within BIII and BIV sequences, virtually all (35/38) sequences with a BIII/BIV ambiguous result were different among them, differing from reference sequence AF069560 by 4–15 SNPs. Consequently, a large proportion of these SNPs (mostly double peaks) were potentially involved in amino acid change at the protein level (S5C Table).

Intra-assemblage B genetic diversity analysis

Independently of the molecular marker used, genetic diversity was far higher within assemblage B than within assemblage A sequences. Multiple sequence alignments of BIII, BIV, and ambiguous BIII/BIV sequences at the gdh, bg, and tpi loci revealed the presence of SNPs in multiple sites across used reference sequences, varying from 28 (for BIV sequences at the tpi locus) to 88 (for B sequences at the bg locus) sites (S6 Table). Overall, 2,225 SNPs were identified among assemblage B sequences in all three loci. Of them, 37% (821/2,225) corresponded to transition and (to a much lower extend) transversion mutations and nucleotide insertions, and 63% (1,404/2,225) to double peaks. Identified hotspot sites (see section above) at each locus accumulated the bulk of these SNPs (63%; 1,392/2,225).

The distribution of transition/transversion mutations and double peaks differed substantially among sub-assemblages and loci (Fig 2). At the gdh locus, hotspot sites accumulated 50–55% of all SNPs detected in BIII and BIV sequences, but this figure increased to 74% in BIII/BIV sequences. Double peaks accounted for 26–38% of the SNPs detected in BIII and BIV sequences, but for 82% of the ambiguous BIII/BIV sequences (Fig 2A). At the tpi locus, hotspot sites accumulated 33–41% of all SNPs detected in BIII and BIV sequences, but this figure increased to 60% in BIII/BIV sequences. Remarkably, double peaks accounted for 60–68% of all SNPs detected in BIII and ambiguous BIII/BIV sequences, but only for 5% in BIV sequences (Fig 2B). Finally, at the bg locus, hotspot sites concentrated 60% of the SNPs detected in assemblage B, sequences, of which 54% corresponded to double peaks (Fig 3A).

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Fig 2. Distribution of single nucleotide polymorphisms segregated by mutations and double peaks, in Giardia duodenalis assemblage B sequences according to the genetic marker considered.

(A) SNPs at the glutamate dehydrogenase (gdh) locus; (B) SNPs at the triose phosphate isomerase (tpi) locus; (C) SNPs at the ß-giardin (bg) locus and overall figures for all assemblage B sequences.

https://doi.org/10.1371/journal.pntd.0008987.g002

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Fig 3. Phylogenetic tree depicting evolutionary relationships among Giardia duodenalis sequences at the gdh locus from Mozambican children.

The analysis was inferred using the Neighbor-Joining method of the nucleotide sequence covering a 416-bp region (positions 76–491 of GenBank: L40508) of the gene. Bootstrap values lower than 50% are not shown. Cyan filled circles represent reference sequences downloaded from the GenBank database; filled dark green triangles represent sequences generated in the present study. Giardia ardeae was used as the outgroup.

https://doi.org/10.1371/journal.pntd.0008987.g003

Phylogenetic analyses

The Fig 3 shows the evolutionary relationships among the G. duodenalis sequences generated in the present study at the gdh locus. For comparative purposes, similar sequences generated by our research team in areas of high (Ethiopia, Angola, and Brazil) and low (Spain) endemicity were also included in the analysis. Assemblage A sequences grouped together in well-defined clusters with appropriate reference sequences. Assemblage B sequences also formed an independent branch of the phylogenetic tree, but sub-assemblage BIII and BIV sequences could not be segregated in independent clusters. Phylogenetic trees generated at the bg (S1 Fig) and tpi (S2 Fig) loci corroborated this finding.

Discussion

This study represents the largest and most comprehensive molecular investigation evaluating the genetic diversity of G. duodenalis in young children with and without diarrhoea conducted in Mozambique to date. The survey provides three relevant contributions to the understanding of the epidemiology of human giardiasis in the country. First, early childhood diarrhoea by G. duodenalis was not linked to a given assemblage of the parasite. Second, assemblage B caused nine out of ten infections by G. duodenalis in young children. And third, an extremely high molecular diversity at the nucleotide level was observed within assemblage B, but not within assemblage A sequences, independently of the genetic marker investigated.

Giardia duodenalis infections do not seem to be positively associated with acute diarrhoea in young children living in endemic areas in low- and medium-income countries [49,50], or have been even described as “protective” against it [51,52]. Indeed, molecular epidemiological case-control studies carried out in Ivory Coast [32], Central African Republic [30], Tanzania [31], in addition to the GEMS project [4], have demonstrated that G. duodenalis was significantly more prevalent in controls than in cases. This is the reason why the parasite was systematically absent in global burden estimations of diarrhoeal disease [53]. The genotype of G. duodenalis involved in these infections may play a major role in the triggering (or not) of clinical manifestations associated to gastrointestinal illness.

Several molecular-based surveys have attempted to correlate the presence of diarrhoea with the genotype of G. duodenalis. In a seminal study carried out in patients (n = 18) between 8 and 60 years of age in The Netherlands, a strong correlation was found between assemblage A and intermittent diarrhoea, and assemblage B and persistent diarrhoea. Based on statistical analyses of epidemiological data, the authors inferred that assemblage A isolates would be more prevalent in asymptomatic infected individuals [35]. The opposite result was observed in a subsequent study conducted in children (n = 23) under 5 years of age attending day-care centres in Australia, where assemblage B genotypes were more frequently found in asymptomatic children than those of assemblage A [54]. Close associations between assemblage A and diarrhoea have also been demonstrated in clinical patients (n = 44) in Turkey [55], and in outpatient children (n = 43) less than 5 years of age with and without clinical manifestations in Spain [34]. This very same result was also confirmed in a large prospective case-control study targeting individuals (n = 343) of all ages with giardiasis in Bangladesh [56]. Inconclusive data or no correlation between genotypes and diarrhoea were documented in other surveys carried out in Brazil, India, and Iran [5759]. Except for the study by Haque et als. [56], most of these investigations lacked a proper case-control design and genotyped a relatively low (typically less than 50) number of G. duodenalis isolates belonging to different age groups and clinical backgrounds, making difficult the obtaining of robust, unquestionable data. In this context, the present study took advantage of a large (n = 222) panel of genotyped cases and controls stratified by age and sex to demonstrate that diarrhoea was not associated to a given G. duodenalis assemblage in Mozambican children under five years of age. The survey represents the most thorough attempt to investigate the potential link between the parasite´s genotype and diarrhoea in the African continent. This finding arises the question of whether the distribution of G. duodenalis assemblages in infected humans may follow an age-related pattern, and, if this is the case, whether age-driven differences in assemblage predominance may account for a higher likelihood of diarrhoeal illness. Indeed, children have been demonstrated to be more commonly infected by assemblage B (83%, 44/53) than adults (52%, 22/42) in clinical patients between 1 and 75 years of age in Spain [60]. In this very same country, assemblage B was significantly more prevalent than assemblage A in asymptomatic outpatient children, but this effect disappeared when individuals of older ages were included in the analysis [34]. Definitively, more research should be conducted in adult populations in Mozambique and other African countries to clarify the extent to which age may be a relevant factor in the distribution and virulence of G. duodenalis assemblages in human infections.

Molecular data presented here confirmed that assemblage B was far more prevalent than assemblage A (90% vs. 10%) in children younger than five years in Mozambique, regardless of the presence/absence of clinical manifestations. In the only genotyping study available in the country so far, sub-assemblages AII and BIV were detected in two HIV-positive patients in the Gaza province [61]. The above-mentioned result is in line with those previously reported in most African countries demonstrating the predominance of assemblage B over assemblage A [9]. Indeed, assemblage B has been identified at frequencies > 80% in Egypt [62], Ethiopia [63], Guinea-Bissau [64], Kenya [65], Morocco [66], Ruanda [67], and Tanzania [68]. The opposite has been proven true in few surveys showing that assemblage A was more prevalent than assemblage B in Ethiopia [25] and the Democratic Republic of São Tomé and Príncipe [69]. The discrepancies observed in the geographical segregation of G. duodenalis genotypes may be indicative of different sources of infection and transmission pathways. In this regard, canine- (C, D), ungulate- (E), or feline-specific (F) assemblages were not detected in the present study. This apparent lack of animal-specific genetic variants of the parasite should be interpreted with caution, as our initial typing strategy was designed to prioritize the detection of assemblages A and B. It is possible that isolates belonging to C-F assemblages were undetected under our typing scheme. It should be noted that assemblage C has been described in a cancer patient in Egypt [62], assemblage F in symptomatic and asymptomatic individuals in Ethiopia [25], and assemblage E in three independent studies in Egypt [7072].

Confirming the results obtained in previous molecular epidemiological studies conducted in other African countries such as Angola [73], Egypt [62], Ethiopia [25,63,74], Kenya [65], and Uganda [11], this study highlights the extraordinary genetic variability within G. duodenalis assemblage B also in Mozambique. This finding was particularly evident at the gdh and tpi markers, for which the vast majority (85–100%) of the generated BIII, BIV, and BIII/BIV sequences differed among them at the nucleotide level. Interestingly, some of the SNPs detected were associated with single amino acid substitution in the coding regions of the investigated gene, potentially leading to changes in the structure or function of the protein. When compared to selected reference sequences, obtained sequences that were unmistakably assigned to BIII and BIV tended to vary only in 2 to 5 positions (hotspots) either as mutations or ambiguous (double peak) sites. In these sets of hotspots, the proportion of sites involving double peaks varied greatly from 26–38% at the gdh locus, and from 560% at the tpi locus. Interestingly, these percentages increased in all cases over 68% in ambiguous BIII/BIV sequences, explaining why these isolates were difficult to allocate to a given sub-genotype. Two independent mechanisms have been proposed to explain the presence of double peaks. The first one would imply the occurrence of true mixed infections involving different genetic variants (both at the assemblage and the sub-assemblage levels) of G. duodenalis. An elevated proportion of coinfections would be expected in highly endemic areas for the parasite such as the one under investigation in the present study. The second one would imply the occurrence of genetic recombination associated to low levels of allelic sequence heterozygosity (ASH) [75,76]. As in the case of other binucleate diplomonads, G. duodenalis has been largely considered as a strict asexual (clonal) organism. Under this premise, allelic copies both within and between nuclei would be expected to diverge over time as a consequence of the accumulation of mutations, resulting in increased ASH values [77]. This is not the case of G. duodenalis assemblage A isolates, characterised by low (< 0.01%) ASH values [75,78]. These findings were confirmed in sub-assemblages AI and AII, and, to a much lesser extent in assemblage B isolates [79]. Additional evidence of genetic recombination events has been demonstrated within assemblage B in single (trophozoite and cyst) cells [80] and within sub-assemblages BIII and BIV at the genetic population level [81]. All together, these data clearly indicate the presence of a genetic homogenization mechanism in G. duodenalis. Those proposed include intragenic recombination, intra-allelic sequence exchange, or diplomixis during the cystic stage [77,82,83]. The exact contribution of each of these potential mechanisms to the genetic diversity of G. duodenalis remains unknown. In the case of suspected mixed infections, cloning of PCR amplicons or next generation sequencing methods may help in detecting genetic variants of the parasite that are underrepresented in the population pool, and that are otherwise undetectable using conventional PCR methods and Sanger sequencing [8486]. These approaches have not been adopted here, but it would be interesting to do it in selected samples in the near future.

Among the strengths of this study are the carefully designed recruitment of case-control pairs stratified by age and sex, the large number of isolates successfully genotyped, and the adoption of a MLSG scheme to accurately determine the genetic diversity of G. duodenalis at the genotype level. However, some of the results obtained and the conclusions reached in it may be biased by methodological limitations. First, we did not attempt to provide a full epidemiological description including association analyses between G. duodenalis genotypes and sociodemographic and clinical characteristics of the participating children, a task to be conducted in an independent study. Second, barely one in two Giardia-positive samples by the immunoassay used as initial screening diagnostic method were subsequently confirmed by conventional multiplex PCR. The limited correlation between both methods may be indicative of a higher than expected rate of false-positive results by immunoassay, or of amplification failure due to insufficient primer specificity as a consequence of the extremely high genetic diversity within G. duodenalis isolates revealed at the gdh, bg, and tpi loci. Suboptimal removal of PCR inhibitors (proteases, DNases, polysaccharides, bile salts) may also account, to a variable degree, for the latter possibility. Differences in primer design and PCR performance may also explain the discrepant rates of mixed A+B infections obtained by TAC qPCR and the typing (gdh, bg, tpi) PCRs used in this study. Third, the human-oriented design of the conventional multiplex PCR protocol used as confirmatory test did not allow the detection of animal-specific assemblages (C-F) of the parasite, so the contribution of zoonotic transmission and environmental reservoirs to the burden of human giardiasis remains unknown. Fourth, ambiguous (particularly BIII/BIV) sequences potentially associated to true mixed infections can be further investigated either by cloning and sequencing of PCR products or by next generation sequencing analyses. Because none of these methodologies were available in our laboratory, this remaining task should be conducted in future molecular studies.

Overall, the high level of genetic diversity observed within G. duodenalis isolates in Mozambican children is compatible with an hyperendemic epidemiological scenario characterised by elevated rates of infection and re-infection, and very likely, high levels of environmental contamination. In this regard, a recent risk association study conducted in the province of Zambézia revealed that drinking untreated water and having regular contact with domestic animals were major risks for acquiring protist infections including giardiasis [15]. Supporting these findings, a recent quantitative microbial risk assessment analysis has estimated that consumption of unsafe water causes 2 million of cryptosporidiosis cases and 1.6 × 105 disability-adjusted life years in Mozambique annually [87]. These results were in line with those previously obtained in the country highlighting the urgent need of improving access to safe drinking water and sanitary conditions to minimize the risk of environmental contamination and the transmission of pathogens transmitted by the faecal-oral route [41,88,89].

Conclusion

In this study no obvious differences in the distribution of G. duodenalis assemblages were observed in infected children younger than five years of age with and without diarrhoea in Mozambique, demonstrating that the occurrence of gastrointestinal illness was not associated to a given genotype of the parasite. Assemblage B was the most prevalent genetic variant circulating in the surveyed paediatric population, causing nine out of ten of the genotyped cases. An extremely high genetic diversity was observed within assemblage B isolates, impairing the correct identification of sub-assemblages BIII and BIV. This diversity was associated, to a great extent, to the presence of ambiguous positions (double peaks) at the chromatogram level, suggesting that coinfections and genetic recombination events were simultaneously taking place in the investigated population. The exact contribution of these mechanisms to the genetic variability of G. duodenalis are currently unknown. Based on previous risk assessment studies conducted in the country, waterborne and zoonotic transmission are thought to be common routes of human infections. Since no data are currently available, there is an urgent need to conduct molecular studies based on PCR and Sanger sequencing to identify and genotype diarrhoea-causing protist species including G. duodenalis in environmental water samples and in domestic animal species. This information is essential to elucidate sources of infection and transmission pathways of these pathogens.

Supporting information

S1 Table. List and sequence of primers used for molecular identification of G. duodenalis assemblages and multilocus sequence genotyping.

https://doi.org/10.1371/journal.pntd.0008987.s001

(DOCX)

S2 Table. Multilocus sequence genotypes of G. duodenalis in the children population from Manhiça, Mozambique (2007–2012).

Provided information for each sample includes unique identifiers, age group, study year and study groups.

https://doi.org/10.1371/journal.pntd.0008987.s002

(XLSX)

S3 Table. Diversity, frequency, and molecular features of G. duodenalis sequences at the glutamate dehydrogenase locus obtained in the children population from Manhiça, Mozambique (2007–2012).

Single Nucleotide Polymorphisms (SNPs) inducing amino acid substitutions are highlighted in red indicating the amino acid change. Nucleotide position / sites at reference sequences with SNPs are also presented, with hotspots for SNPs shaded in yellow. GenBank accession numbers are provided.

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(XLSX)

S4 Table. Diversity, frequency, and molecular features of G. duodenalis sequences at the β-giardin locus obtained in the children population from Manhiça, Mozambique (2007–2012).

Single Nucleotide Polymorphisms (SNPs) inducing amino acid substitutions are highlighted in red indicating the amino acid change. Nucleotide position / sites at reference sequences with SNPs are also presented, with hotspots for SNPs shaded in yellow. GenBank accession numbers are provided.

https://doi.org/10.1371/journal.pntd.0008987.s004

(XLSX)

S5 Table. Diversity, frequency and molecular features of G. duodenalis sequences at the triose phosphate isomerase locus obtained in the children population from Manhiça, Mozambique (2007–2012).

Single Nucleotide Polymorphisms (SNPs) inducing amino acid substitutions are highlighted in red indicating the amino acid change. Nucleotide position / sites at reference sequences with SNPs are also presented, with hotspots for SNPs shaded in yellow. GenBank accession numbers are provided.

https://doi.org/10.1371/journal.pntd.0008987.s005

(XLSX)

S6 Table. Intra-assemblage B single nucleotide polymorphisms distribution and classification among G. duodenalis sequences at the gdh, bg and tpi loci from Mozambican children.

Hotspots for SNPs are identified and the summarised comparison of frequencies between hotspot and non-hotspot sites are highlighted with darker shades.

https://doi.org/10.1371/journal.pntd.0008987.s006

(XLSX)

S1 Fig. Phylogenetic tree depicting evolutionary relationships among G. duodenalis sequences at the bg locus from Mozambican children.

The analysis was inferred using the Neighbor-Joining method of the nucleotide sequence covering a 517-bp region (positions 96–612 of GenBank: AY072727) of the gene. Bootstrap values lower than 50% are not shown. Cyan filled circles represent reference sequences downloaded from the GenBank database; filled dark green triangles represent sequences generated in the present study. No outgroup sequence was used as bg is a Giardia-specific gene.

https://doi.org/10.1371/journal.pntd.0008987.s007

(TIF)

S2 Fig. Phylogenetic tree depicting evolutionary relationships among G. duodenalis sequences at the tpi locus from Mozambican children.

The analysis was inferred using the Neighbor-Joining method of the nucleotide sequence covering a 479-bp region (positions 1–479 of GenBank: AY069560) of the gene. Bootstrap values lower than 50% are not shown. Cyan filled circles represent reference sequences downloaded from the GenBank database; filled dark green triangles represent sequences generated in the present study. Giardia muris was used as the outgroup.

https://doi.org/10.1371/journal.pntd.0008987.s008

(TIF)

Acknowledgments

We thank the children and their caretakers who participated in the study, as well as the clinical, field and laboratory staff who worked tirelessly to ensure the data collection and laboratory testing was performed according to the standardized protocol. We also thank all the local government authorities (district Administration and Health Directorate) and all community leaders for supporting and collaborating in the study.

References

  1. 1. Wang H, Naghavi M, Allen C, Barber RM, Carter A, Casey DC, et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388: 1459–1544. pmid:27733281
  2. 2. Wang H, Coates MM, Coggeshall M, Dandona L, Fraser M, Fullman N, et al. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388: 1725–1774. pmid:27733285
  3. 3. Troeger C, Forouzanfar M, Rao PC, Khalil I, Brown A, Reiner RC, et al. Estimates of global, regional, and national morbidity, mortality, and aetiologies of diarrhoeal diseases: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Infect Dis. 2017;17: 909–948. pmid:28579426
  4. 4. Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, et al. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): A prospective, case-control study. Lancet. 2013;382: 209–222. pmid:23680352
  5. 5. Kotloff KL, Nasrin D, Blackwelder WC, Wu Y, Farag T, Panchalingham S, et al. The incidence, aetiology, and adverse clinical consequences of less severe diarrhoeal episodes among infants and children residing in low-income and middle-income countries: a 12-month case-control study as a follow-on to the Global Enteric Multicenter St. Lancet Glob Heal. 2019;7: e568–e584. pmid:31000128
  6. 6. Cacciò SM, Thompson RCA, McLauchlin J, Smith H V. Unravelling Cryptosporidium and Giardia epidemiology. Trends Parasitol. 2005;21: 430–437. pmid:16046184
  7. 7. Hill DR, Nash TE. Intestinal flagellate and ciliate infections. 3rd ed. In: Guerrant RL, Walker DH, Weller PF, editors. Tropical Infectious Diseases: Principles, Pathogens and Practice. 3rd ed. Oxford—Reino Unido: Elsevier Inc.; 2011. pp. 623–632. https://doi.org/10.1016/B978-0-443-06668-9.50092–2
  8. 8. Robertson LJ, Hanevik K, Escobedo AA, Kristine M, Langeland N. Giardiasis–why do the symptoms sometimes never stop? Trends Parasitol. 2010;26: 75–82. pmid:20056486
  9. 9. Squire SA, Ryan U. Cryptosporidium and Giardia in Africa: current and future challenges. Parasit Vectors. 2017;10. pmid:28061911
  10. 10. Halliez MCM, Buret AG. Extra-intestinal and long term consequences of Giardia duodenalis infections. World J Gastroenterol. 2013;19: 8974–8985. pmid:24379622
  11. 11. Ankarklev J, Hestvik E, Lebbad M, Lindh J, Kaddu-Mulindwa DH, Andersson JO, et al. Common Coinfections of Giardia intestinalis and Helicobacter pylori in Non-Symptomatic Ugandan Children. PLoS Negl Trop Dis. 2012;6: 2–9. pmid:22953010
  12. 12. Tembo SJ, Mutengo MM, Sitali L, Changula K, Takada A, Mweene AS, et al. Prevalence and genotypic characterization of Giardia duodenalis isolates from asymptomatic school-going children in Lusaka, Zambia. Food Waterborne Parasitol. 2020;19: e00072. pmid:32258446
  13. 13. Fan YM, Oikarinen S, Lehto KM, Nurminen N, Juuti R, Mangani C, et al. High prevalence of selected viruses and parasites and their predictors in Malawian children. Epidemiol Infect. 2019;147. pmid:30869004
  14. 14. Damitie M, Mekonnen Z, Getahun T, Santiago D, Leyns L. Molecular epidemiology of Giardia duodenalis infection in humans in Southern Ethiopia: A triosephosphate isomerase gene-targeted analysis. Infect Dis Poverty. 2018;7: 1–10. pmid:29335021
  15. 15. Muadica AS, Balasegaraam S, Beebeejaun K, Köster PC, Bailo B, Hernández-De-Mingo M, et al. Risk associations for intestinal parasites in symptomatic and asymptomatic schoolchildren in central Mozambique. Clin Microbiol Infect. 2020;In-Press. pmid:32505583
  16. 16. Bartelt LA, Roche J, Kolling G, Bolick D, Noronha F, Naylor C, et al. Persistent G. lamblia impairs growth in a murine malnutrition model. J Clin Invest. 2013;123: 2672–2684. pmid:23728173
  17. 17. Bartelt LA, Sartor RB. Advances in understanding Giardia: determinants and mechanisms of chronic sequelae. F1000Prime Rep. 2015;7: 62. pmid:26097735
  18. 18. Cacciò SM, Ryan U. Molecular epidemiology of giardiasis. Mol Biochem Parasitol. 2008;160: 75–80. pmid:18501440
  19. 19. Ryan U, Cacciò SM. Zoonotic potential of Giardia. Int J Parasitol. 2013;43: 943–956. pmid:23856595
  20. 20. Monis PT, Andrews RH, Mayrhofer G, Ey PL. Genetic diversity within the morphological species Giardia intestinalis and its relationship to host origin. Infect Genet Evol. 2003;3: 29–38. pmid:12797970
  21. 21. van Lith L, Šoba B, Vizcaino VV, Svard S, Sprong H, Tosini F, et al. A real-time assemblage-specific PCR assay for the detection of Giardia duodenalis assemblages A, B and E in fecal samples. Vet Parasitol. 2015;211: 28–34. pmid:25935292
  22. 22. Vanni I, Cacciò SM, van Lith L, Lebbad M, Svärd SG, Pozio E, et al. Detection of Giardia duodenalis assemblages A and B in human feces by simple, assemblage-specific PCR assays. PLoS Negl Trop Dis. 2012;6: 1–9. pmid:22953009
  23. 23. Adam RD, Dahlstrom EW, Martens CA, Bruno DP, Barbian KD, Ricklefs SM, et al. Genome sequencing of Giardia lamblia genotypes A2 and B isolates (DH and GS) and comparative analysis with the genomes of genotypes A1 and E (WB and Pig). Genome Biol Evol. 2013;5: 2498–2511. pmid:24307482
  24. 24. Fantinatti M, Bello AR, Fernandes O, Da-Cruz AM. Identification of Giardia lamblia assemblage E in humans points to a new anthropozoonotic cycle. J Infect Dis. 2016;214: 1256–1259. pmid:27511898
  25. 25. Gelanew T, Lalle M, Hailu A, Pozio E, Cacciò SM. Molecular characterization of human isolates of Giardia duodenalis from Ethiopia. Acta Trop. 2007;102: 92–99. pmid:17498637
  26. 26. Zahedi A, Field D, Ryan U. Molecular typing of giardia duodenalis in humans in Queensland–first report of assemblage e. Parasitology. 2017;114: 1154–1161. pmid:28482937
  27. 27. Feng Y, Xiao L. Zoonotic potential and molecular epidemiology of Giardia species and giardiasis. Clin Microbiol Rev. 2011;24: 110–140. pmid:21233509
  28. 28. Jerez Puebla LE, Núñez FA, Martínez Silva I, Rojas Rivero L, Martínez González M, Méndez Sutil Y, et al. Molecular characterization and risk factors of Giardia duodenalis among school children from la Habana, Cuba. J Parasitol Res. 2015;2015: 1–8. pmid:26693345
  29. 29. Elwin K, Fairclough H V., Hadfield SJ, Chalmers RM. Giardia duodenalis typing from stools: A comparison of three approaches to extracting DNA, and validation of a probe-based real-time PCR typing assay. J Med Microbiol. 2014;63: 38–44. pmid:24085818
  30. 30. Breurec S, Vanel N, Bata P, Chartier L, Farra A, Favennec L, et al. Etiology and Epidemiology of Diarrhea in Hospitalized Children from Low Income Country: A Matched Case-Control Study in Central African Republic. PLoS Negl Trop Dis. 2016;10: 1–18. pmid:26731629
  31. 31. Tellevik MG, Moyo SJ, Blomberg B, Hjøllo T, Maselle SY, Langeland N, et al. Prevalence of Cryptosporidium parvum/hominis, Entamoeba histolytica and Giardia lamblia among Young Children with and without Diarrhea in Dar es Salaam, Tanzania. PLoS Negl Trop Dis. 2015;9: 1–16. pmid:26452235
  32. 32. Becker SL, Chatigre JK, Gohou JP, Coulibaly JT, Leuppi R, Polman K, et al. Combined stool-based multiplex PCR and microscopy for enhanced pathogen detection in patients with persistent diarrhoea and asymptomatic controls from Côte d’Ivoire. Clin Microbiol Infect. 2015;21: 591.e1–591.e10. pmid:25743578
  33. 33. Nash TE, Herrington DA, Losonsky GA, Levine MM. Experimental human infections with giardia lamblia. J Infect Dis. 1987;156: 974–984. pmid:3680997
  34. 34. Sahagún J, Clavel A, Goñi P, Seral C, Llorente MT, Castillo FJ, et al. Correlation between the presence of symptoms and the Giardia duodenalis genotype. Eur J Clin Microbiol Infect Dis. 2008;27: 81–83. pmid:17943329
  35. 35. Homan WL, Mank TG. Human giardiasis: genotype linked differences in clinical symptomatology. Int J Parasitol. 2001;31: 822–826. pmid:11403774
  36. 36. Kotloff KL, Blackwelder WC, Nasrin D, Nataro JP, Farag TH, Van Eijk A, et al. The Global Enteric Multicenter Study (GEMS) of diarrheal disease in infants and young children in developing countries: Epidemiologic and clinical methods of the case/control study. Clin Infect Dis. 2012;55: S232–S245. pmid:23169936
  37. 37. Sacoor C, Nhacolo A, Nhalungo D, Aponte JJ, Bassat Q, Augusto O, et al. Profile: Manhiça Health Research Centre (Manhiça HDSS). Int J Epidemiol. 2013;42: 1309–1318. pmid:24159076
  38. 38. Alonso P, Saúte F, Aponte J, Gómez-Olivé F, Nhacolo A, Thomson R, et al. Manhiça DSS, Mozambique. Population and Health in Developing Countries. 2002.
  39. 39. Levine MM, Kotloff KL, Nataro JP, Robins-Browne RM, Lanata CF. The Global Enteric Multicenter Study (GEMS). Clin Infect Dis. 2012;55: NP-NP. https://doi.org/10.1093/cid/cis806
  40. 40. Levine MM, Kotloff KL, Nataro JP, Muhsen K. The Global Enteric Multicenter Study (GEMS): Impetus, rationale, and genesis. Clin Infect Dis. 2012;55: 215–224. pmid:23169934
  41. 41. Nhampossa T, Mandomando I, Acacio S, Quintó L, Vubil D, Ruiz J, et al. Diarrheal disease in rural Mozambique: Burden, risk factors and etiology of diarrheal disease among children aged 0–59 months seeking care at health facilities. PLoS One. 2015;10: 12–23. pmid:25973880
  42. 42. Panchalingam S, Antonio M, Hossain A, Mandomando I, Ochieng B, Oundo J, et al. Diagnostic microbiologic methods in the GEMS-1 case/control study. Clin Infect Dis. 2012;55. pmid:23169941
  43. 43. Liu J., Juma J, Kabir F, Nkeze M, Okoi C, Platts-Mills J. Use of quantitative molecular diagnostic methods to identify causes of diarrhoea in children: a reanalysis of the GEMS case-control study. Lancet. 2016;388: 1291–1301. pmid:27673470
  44. 44. Liu J, Gratz J, Amour C, Nshama R, Walongo T, Maro A, et al. Optimization of quantitative PCR methods for enteropathogen detection. PLoS One. 2016;11: 1–11. pmid:27336160
  45. 45. Read CM, Monis PT, Thompson RCA. Discrimination of all genotypes of Giardia duodenalis at the glutamate dehydrogenase locus using PCR-RFLP. 2004;4: 125–130. pmid:15157630
  46. 46. Lalle M, Pozio E, Capelli G, Bruschi F, Crotti D, Cacciò SM. Genetic heterogeneity at the β-giardin locus among human and animal isolates of Giardia duodenalis and identification of potentially zoonotic subgenotypes. Int J Parasitol. 2005;35: 207–213. pmid:15710441
  47. 47. Sulaiman IM, Fayer R, Bern C, Gilman RH, Trout JM, Schantz PM, et al. Triosephosphate Isomerase gene characterization and potential zoonotic transmission of Giardia duodenalis. Emerg Infect Dis. 2003;9: 1444–1452. pmid:14718089
  48. 48. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30: 2725–2729. pmid:24132122
  49. 49. Platts-Mills JA, Babji S, Bodhidatta L, Gratz J, Haque R, Havt A, et al. Pathogen-specific burdens of community diarrhoea in developing countries: A multisite birth cohort study (MAL-ED). Lancet Glob Heal. 2015;3: e564–e575. (15)00151-5
  50. 50. Bartelt LA, Platts-Mills JA. Giardia: A pathogen or commensal for children in high-prevalence settings? Curr Opin Infect Dis. 2016;29: 502–507. pmid:27479025
  51. 51. Muhsen K, Levine MM. A systematic review and meta-analysis of the association between giardia lamblia and endemic pediatric diarrhea in developing countries. Clin Infect Dis. 2012;55. pmid:23169940
  52. 52. Muhsen K, Cohen D, Levine MM. Can giardia lamblia infection lower the risk of acute diarrhea among preschool children? J Trop Pediatr. 2014;60: 99–103. pmid:24158113
  53. 53. Naghavi M, Wang H, Lozano R, Davis A, Liang X, Zhou M, et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385: 117–171. pmid:25530442
  54. 54. Read C, Walters J, Robertson ID, Thompson RC. Correlation between genotype of Giardia duodenalis and diarrhoea. Int J Parasitol. 2002;32: 229–231. pmid:11812501
  55. 55. Aydin AF, Besirbellioglu BA, Avci IY, Tanyuksel M, Araz E, Pahsa A. Classification of Giardia duodenalis parasites in Turkey into groups a and B using restriction fragment length polymorphism. Diagn Microbiol Infect Dis. 2004;50: 147–151. pmid:15474326
  56. 56. Haque R, Mondal D, Karim A, Molla IH, Rahim A, Faruque ASG, et al. Prospective Case-Control Study of the Association between Common Enteric Protozoal Parasites and Diarrhea in Bangladesh. Clin Infect Dis. 2009;48: 1191–1197. pmid:19323634
  57. 57. Kohli A, Bushen OY, Pinkerton RC, Houpt E, Newman RD, Sears CL, et al. Giardia duodenalis assemblage, clinical presentation and markers of intestinal inflammation in Brazilian children. Trans R Soc Trop Med Hyg. 2008;102: 718–725. pmid:18485429
  58. 58. Ajjampur SSR, Sankaran P, Kannan A, Sathyakumar K, Sarkar R, Gladstone BP, et al. Short report: Giardia duodenalis assemblages associated with diarrhea in children in South India identified by PCR-RFLP. Am J Trop Med Hyg. 2009;80: 16–19. pmid:19141832
  59. 59. Rafiei A, Roointan ES, Samarbafzadeh AR, Shayesteh AA, Shamsizadeh A, Pourmahdi Borujeni M. Investigation of possible correlation between Giardia duodenalis genotypes and clinical symptoms in southwest of Iran. Iran J Parasitol. 2013;8: 389–395. pmid:24454431
  60. 60. Wang Y, Moreno OG, Roellig DM, Oliver L, Huguet J, Guo Y. Epidemiological distribution of genotypes of Giardia duodenalis in humans in Spain. Parasit Vectors. 2019; 6–15. pmid:30609932
  61. 61. Irisarri-Gutiérrez MJ, Mingo MH de, de Lucio A, Gil H, Morales L, Seguí R, et al. Association between enteric protozoan parasites and gastrointestinal illness among HIV- and tuberculosis-infected individuals in the Chowke district, southern Mozambique. Acta Trop. 2017;170: 197–203. pmid:28302528
  62. 62. Soliman RH, Fuentes I, Rubio JM. Identification of a novel Assemblage B subgenotype and a zoonotic Assemblage C in human isolates of Giardia intestinalis in Egypt. Parasitol Int. 2011;60: 507–511. pmid:21989040
  63. 63. de Lucio A, Amor-Aramendía A, Bailo B, Saugar JM, Anegagrie M, Arroyo A, et al. Prevalence and genetic diversity of giardia duodenalis and cryptosporidium spp. among School Children in a Rural Area of the Amhara Region, North-West Ethiopia. PLoS One. 2016;11: 1–24. pmid:27466809
  64. 64. Ferreira FS, Centeno-Lima S, Gomes J, Rosa F, Rosado V, Parreira R, et al. Molecular characterization of Giardia duodenalis in children from the Cufada Lagoon Natural Park, Guinea-Bissau. Parasitol Res. 2012;111: 2173–2177. pmid:22915269
  65. 65. Mbae C, Mulinge E, Guleid F, Wainaina J, Waruru A, Njiru ZKK, et al. Molecular characterization of Giardia duodenalis in children in Kenya. BMC Infect Dis. 2016;16: 1–7. pmid:26729246
  66. 66. El Fatni C, Olmo F, El Fatni H, Romero D, Rosales MJ. First genotyping of Giardia duodenalis and prevalence of enteroparasites in children from Tetouan (Morocco). Parasite. 2014;21: 48. pmid:25259605
  67. 67. Ignatius R, Gahutu JB, Klotz C, Steininger C, Shyirambere C, Lyng M, et al. High prevalence of giardia duodenalis assemblage b infection and association with underweight in rwandan children. PLoS Negl Trop Dis. 2012;6. pmid:22720102
  68. 68. Forsell J, Granlund M, Samuelsson L, Koskiniemi S, Edebro H, Evengård B. High occurrence of Blastocystis sp. subtypes 1–3 and Giardia intestinalis assemblage B among patients in Zanzibar, Tanzania. Parasites and Vectors. 2016;9: 1–12. pmid:26728523
  69. 69. Lobo ML, Augusto J, Antunes F, Ceita J, Xiao L, Codices V, et al. Cryptosporidium spp., Giardia duodenalis, Enterocytozoon bieneusi and other intestinal parasites in young children in Lobata Province, Democratic Republic of São Tomé and Principe. PLoS One. 2014;9. pmid:24846205
  70. 70. Foronda P, Bargues MD, Abreu-Acosta N, Periago M V., Valero MA, Valladares B, et al. Identification of genotypes of Giardia intestinalis of human isolates in Egypt. Parasitol Res. 2008;103: 1177–1181. pmid:18622625
  71. 71. Helmy YA, Klotz C, Wilking H, Krücken J, Nöckler K, Von Samson-Himmelstjerna G, et al. Epidemiology of Giardia duodenalis infection in ruminant livestock and children in the Ismailia province of Egypt: Insights by genetic characterization. Parasites and Vectors. 2014;7: 1–11. pmid:24411014
  72. 72. Abdel-Moein KA, Saeed H. The zoonotic potential of Giardia intestinalis assemblage E in rural settings. Parasitol Res. 2016;115: 3197–3202. pmid:27112756
  73. 73. Dacal E, Saugar JM, De Lucio A, Hernández-De-Mingo M, Robinson E, Köster PC, et al. Prevalence and molecular characterization of Strongyloides stercoralis, Giardia duodenalis, Cryptosporidium spp., and Blastocystis spp. isolates in school children in Cubal, Western Angola. Parasites and Vectors. 2018;11. pmid:29378626
  74. 74. Flecha MJ, Benavides CM, Tissiano G, Tesfamariam A, Cuadros J, de Lucio A, et al. Detection and molecular characterisation of Giardia duodenalis, Cryptosporidium spp. and Entamoeba spp. among patients with gastrointestinal symptoms in Gambo Hospital, Oromia Region, southern Ethiopia. Trop Med Int Heal. 2015;20: 1213–1222. pmid:25939247
  75. 75. Morrison HG, McArthur AG, Gillin FD, Aley SB, Adam RD, Olsen GJ, et al. Genomic minimalism in the early diverging intestinal parasite Giardia lamblia. Science (80-). 2007;317: 1921–1926. pmid:17901334
  76. 76. Franzén O, Jerlström-Hultqvist J, Castro E, Sherwood E, Ankarklev J, Reiner DS, et al. Draft genome sequencing of Giardia intestinalis assemblage B isolate GS: Is human giardiasis caused by two different species? PLoS Pathog. 2009;5. pmid:19696920
  77. 77. Sprong H, Cacciò SM, Van Der Giessen JWB. Identification of zoonotic genotypes of Giardia duodenalis. PLoS Negl Trop Dis. 2009;3: 1–12. pmid:19956662
  78. 78. Prabhu A, Morrison HG, Martinez CR, Adam RD. Characterisation of the subtelomeric regions of Giardia lamblia genome isolate WBC6. Int J Parasitol. 2007;37: 503–513. pmid:17275000
  79. 79. Teodorovic S, Braverman JM, Elmendorf HG. Unusually low levels of genetic variation among Giardia lamblia isolates. Eukaryot Cell. 2007;6: 1421–1430. pmid:17557879
  80. 80. Ankarklev J, Svärd SG, Lebbad M. Allelic sequence heterozygosity in single Giardia parasites. BMC Microbiol. 2012;12. pmid:22251616
  81. 81. Siripattanapipong S, Leelayoova S, Mungthin M, Thompson RA, Boontanom P, Saksirisampant W, et al. Clonal diversity of the glutamate dehydrogenase gene in Giardia duodenalis from Thai Isolates: Evidence of genetic exchange or Mixed Infections? BMC Microbiol. 2011;11. pmid:21241461
  82. 82. Cooper MA, Adam RD, Worobey M, Sterling CR. Population Genetics Provides Evidence for Recombination in Giardia. Curr Biol. 2007;17: 1984–1988. pmid:17980591
  83. 83. Ankarklev J, Jerlström-Hultqvist J, Ringqvist E, Troell K, Svärd S. Behind the smile: cell biology and disease mechanisms of Giardia species. Nat Rev Microbiol. 2010;8: 413–422. pmid:20400969
  84. 84. Lasek-Nesselquist E, Bogomolni AL, Gast RJ, Welch DM, Ellis JC, Sogin ML, et al. Molecular characterization of Giardia intestinalis haplotypes in marine animals: Variation and zoonotic potential. Dis Aquat Organ. 2008;81: 39–51. pmid:18828561
  85. 85. Hussein AIA, Yamaguchi T, Nakamoto K, Iseki M, Tokoro M. Multiple-subgenotype infections of Giardia intestinalis detected in Palestinian clinical cases using a subcloning approach. Parasitol Int. 2009;58: 258–262. pmid:19361570
  86. 86. Kosuwin R, Putaporntip C, Pattanawong U, Jongwutiwes S. Clonal diversity in Giardia duodenalis isolates from Thailand: Evidences for intragenic recombination and purifying selection at the beta giardin locus. Gene. 2010;449: 1–8. pmid:19796671
  87. 87. Limaheluw J, Medema G, Hofstra N. An exploration of the disease burden due to Cryptosporidium in consumed surface water for sub-Saharan Africa. Int J Hyg Environ Health. 2019;222: 856–863. pmid:31003881
  88. 88. Knee J, Sumner T, Adriano Z, Berendes D, de Bruijn E, Schmidt WP, et al. Risk factors for childhood enteric infection in urban Maputo, Mozambique: A cross-sectional study. PLoS Negl Trop Dis. 2018;12: 1–19. pmid:30419034
  89. 89. Acácio S, Mandomando I, Nhampossa T, Quintó L, Vubil D, Sacoor C, et al. Risk factors for death among children 0–59 months of age with moderate-to-severe diarrhea in Manhiça district, southern Mozambique. BMC Infect Dis. 2019;19: 1–14. pmid:30606108