Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

A wheat cytochrome P450 enhances both resistance to deoxynivalenol and grain yield

  • Lokanadha R. Gunupuru,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Chanemougasoundharam Arunachalam,

    Roles Conceptualization, Data curation, Formal analysis, Methodology

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Keshav B. Malla,

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

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Amal Kahla,

    Roles Formal analysis, Writing – review & editing

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Alexandre Perochon,

    Roles Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Jianguang Jia,

    Roles Data curation, Formal analysis

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Ganesh Thapa,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

  • Fiona M. Doohan

    Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

    fiona.doohan@ucd.ie

    Affiliation School of Biology & Environment Science and Earth Institute, University College Dublin, Science Centre East, Belfield, Dublin 4, Ireland

Abstract

The mycotoxin deoxynivalenol (DON) serves as a plant disease virulence factor for the fungi Fusarium graminearum and F. culmorum during the development of Fusarium head blight (FHB) disease on wheat. A wheat cytochrome P450 gene from the subfamily CYP72A, TaCYP72A, was cloned from wheat cultivar CM82036. TaCYP72A was located on chromosome 3A with homeologs present on 3B and 3D of the wheat genome. Using gene expression studies, we showed that TaCYP72A variants were activated in wheat spikelets as an early response to F. graminearum, and this activation was in response to the mycotoxic Fusarium virulence factor deoxynivalenol (DON). Virus induced gene silencing (VIGS) studies in wheat heads revealed that this gene family contributes to DON resistance. VIGS resulted in more DON-induced discoloration of spikelets, as compared to mock VIGS treatment. In addition to positively affecting DON resistance, TaCYP72A also had a positive effect on grain number. VIGS of TaCYP72A genes reduced grain number by more than 59%. Thus, we provide evidence that TaCYP72A contributes to host resistance to DON and conclude that this gene family warrants further assessment as positive contributors to both biotic stress resistance and grain development in wheat.

Introduction

Cytochrome P450s are heme-containing membrane-bound enzymes that can perform several types of oxidation-reduction reactions [1]. They are involved in plant defence, secondary metabolite biosynthesis in the classical xenobiotic detoxification pathway [2,3]. There is compounding evidence to show that cytochrome P450s play a role in the host response to diseases, including the wheat response to Fusarium head blight (FHB) disease [4,5].

FHB is a devastating fungal disease of wheat, barley and other small grain cereals grown in warm and humid regions worldwide [6,7]. Fusarium graminearum (teleomorph: Gibberella zeae) is the principal causal agent of the disease. It infects wheat heads during flowering and thereby interferes with seed development leading to severe yield loss and reduced grain quality [7,8]. F. graminearum also produces trichothecene mycotoxins in infected grains, predominantly deoxynivalenol (DON), which are harmful to plant, human and animal health [911]. Some cereal varieties are resistant to FHB disease. DON was shown to induce cytochrome P450 genes in FHB-resistant genotypes of wheat and barley. Comparing wild type and Tri5- F. graminearum DON-minus mutants, Boddu et al. [12] identified several cytochrome P450 transcripts that were specifically induced during trichothecene accumulation in barley plants. A cytochrome P450 gene, CYP709C1, associated with resistance to FHB and Fusarium seedling blight in wheat was highly induced in wheat spikelets inoculated with DON [13]. In barley, cytochrome P450s were induced in spikelets in response to DON application [14]. Walter et al. [4] showed that the transcript levels for two cytochrome P450s were significantly higher in progeny of a wheat population that inherited a genetic locus associated with FHB resistance as compared to those that did not. It remains to be determined whether cytochrome P450s are associated with detoxification of DON or the transformation of other disease/toxin-induced moieties. Indeed, there is no evidence that plant cytochrome P450s directly affect DON resistance, either via a role in detoxification or by other means. But recently, a bacterial cytochrome P450 was shown to catabolise DON to a derivative that was much less toxic to wheat [15].

Here we characterized the mycotoxin-responsive cytochrome P450 first identified by Walter et al. [4] and investigated its potential to respond to and improve DON and FHB resistance. The gene clustered within the CYP72A subfamily and is hereafter referred to as TaCYP72A. Gene expression studies investigated the effect of F. graminearum and the mycotoxin DON on the regulation of TaCYP72A homeologs in wheat. The effect of VIGS of TaCYP72A on the DON sensitivity of wheat was investigated. The VIGS experiment also assessed the contribution of TaCYP72A genes to grain development. Based on the results of this study, we describe the first wheat cytochrome P450 variants to positively contribute to both DON resistance and grain development.

Materials and methods

Plant and fungal material and propagation

Triticum aestivum (wheat) cultivars (cvs.) CM82036 (a cross between ‘Sumai-3’ and ‘Thornbird-s’) and Remus were used in this study. Wheat cv. CM82036 is resistant to FHB and DON, a trait associated with quantitative trait loci (QTL) located on chromosomes 3B and 5A [16]. Wheat cv. Remus is susceptible to FHB disease [16]. For wheat cultivation, seeds were germinated in darkness for 72 h at 24°C in 90 mm petri dishes containing moist Whatman No. 1 filter paper (Whatman, UK). The germinated seedlings were transferred to 3 litre pots containing John Innes compost No. 2 (Westland Horticulture, Dungannon, UK). Wheat studies were carried under contained glasshouse conditions with a day/night temperature regime of 25/18°C and light regime 16/8 h.

Wild type fungus F. graminearum strain GZ3639 and its DON-minus mutant derivative GZT40 were used in this study. Wild type GZ3639 is a DON-producing strain virulent on wheat heads, while the DON-minus mutant is less pathogenic [17]. The mutant is a derivative of GZ3639 in which Tri5 gene was disrupted, thus preventing DON production [17]. Conidial inoculum (macroconidia) was produced in Mung bean broth [18] and was harvested, washed and adjusted to 106 conidia/ml, all as previously described [19].

Nucleic acid purification

DNA was extracted from flash-frozen plant tissue with the HP plant DNA mini kit (OMEGA) following manufacturers’ instructions. RNA from freeze-dried wheat heads was extracted as described previously [20], while RNA from leaf samples were extracted using the RNeasy plant kit (Qiagen, USA) according to the manufacturer’s instructions. DNase treatment of extracted total RNA was performed using the TURBO DNA-freeTM kit (Ambion Inc., USA). The quality, yield and integrity of DNA and RNA were assessed as described previously [4].

Gene cloning

The cDNA sequenced of TaCYP72A-3A from cv. CM82036 was obtained via 5’ rapid amplification of cDNA ends (RACE) using the GeneRacerTM kit (Invitrogen, UK) and gene-specific RACE primers (S1 Table). The gDNA sequence was determined for wheat cvs. CM82036 and Remus via PCR using gene-specific primers (S1 Table). PCR reactions were performed using 20 ng of DNA template, 0.25 μM each of forward and reverse primers in a 20 μl reaction containing 0.5 U Taq DNA polymerase and 1x PCR buffer (Invitrogen, UK), 1.5 mM MgCl2, and 125 μM of each dNTP. PCR reactions were conducted in a Peltier thermal cycler DNA engine (MJ Research, USA) and the PCR program constituted 94°C for 5 min, 30 cycles of 94°C for 5 s, 58°C for 45 s and extension of 72°C for 2 min, with a final extension at 72°C for 5 min.

Phylogenetic analysis

BLASTn analysis of the wheat cv. Chinese spring genome (http://plants.ensembl.org and http://wheat-urgi.versailles.inra.fr) were used to determine the chromosomal location and identify wheat variants of TaCYP72A-3A (the cut-off was 90% identity and E value E<10−50). The open reading frame, intron splicing and acceptor sites of TaCYP72A-3A were deduced using NCBI ORF finder [21] and NetGene2 [22]. The CYP450 conserved domains were identified manually [23]. The deduced TaCYP72A-3A protein from cv. CM82036 was used to identify homologous sequences within other Poaceae via BLASTp analysis using Ensembl Plants (http://plants.ensembl.org; E value> 1e-5). The best hit obtained per species, along with TaCYP72A-3A from cvs. CM82036, Remus, Chinese Spring and other cv. Chinese Spring homeologs, were used to construct a Neighbor-Joining tree [24] using Molecular Evolutionary Genetics Analysis Version 7 software (MEGA7) (http://www.megasoftware.net) [25]. The bootstrap consensus tree was inferred from 10,000 replicates and the tree was drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Poisson correction method within MEGA7 and are in the units of the number of amino acid substitutions per site. Sequence homology to other organisms was determined using BLASTn analysis within NCBI (blast.ncbl.nlm.nih.gov).

Adult plant DON and FHB time course experiment

Adult plant DON and FHB time course experiments using wheat cv. CM82036 were as previously described by Perochon et al. [26]. At anthesis, two central spilelets per head were treated with either 0.02% Tween-20 (mock) or 16.87 mM DON in 0.02% Tween-20, while in a separate FHB experiment, the central spikelets were treated with either 20 μl 0.02% Tween-20 (mock) or this solution augmented with 2 x 104 conidia of either F. graminearum strain GZ3639 (WT) or its non-DON-producing mutant derivative GZT40. Treated spikelets were harvested at various time points post-treatment. After harvest, the spikelets were flash-frozen in liquid N2 and stored at -70°C prior to RNA extraction. Both the DON and the FHB experiment each comprised two replica trials. In each trial, RNA was extracted form one pooled sample per treatment per time point (representing a pool of 4 heads from individual plants).

Virus-induced gene silencing (VIGS) experiment

The barley stripe mosaic virus (BSMV)-derived VIGS vectors used in this study consisted of the wild type BSMV ND18 α, β and γ tripartite genome [27,28]. Silencing of TaCYP72A was performed using two independent overlapping gene fragments (S2 Fig). Fragments were amplified from the CDS of TaCYP72A-3A from wheat cv. CM82036 via PCR (see S1 Table for primer details). These fragments were selected and designed to target the 3A, 3B1, 3B2 and 3D genome homeologs of TaCYP72A (S2 Table). PCR reactions were performed with 20 ng plasmid DNA, 1 μM each of forward and reverse gene-specific primers in a 10 μl reaction containing 0.5 U Taq DNA polymerase and 1x PCR buffer (Invitrogen, UK), 1.5 mM MgCl2, and 125 μM of each dNTP. PCR reactions were conducted in a Peltier thermal cycler DNA engine (MJ Research, USA and the PCR program consisted of an initial denaturation step at 94 oC for 2 min, 35 cycles of 94 oC for 30 s and 60 oC for 30 s and a final extension step at 72 oC for 5 min. Amplicons were cloned into NotI-digested γ RNA vector, pSL038-1 [28]. A BSMV γ RNA construct containing a 185 bp fragment of the barley phytoene desaturase (PDS) gene served as a positive control for VIGS and has been previously described [28]. The BSMV RNA was prepared and inoculated onto flag leaves of wheat cv. CM82036 as described previously [26]. Treatments were mock buffer treatment (FES), RNA prepared from virus control (BSMV:00) or RNA targeting the silencing of PDS (BSMV:PDS4as) or TaCYP72A (BSMV:CYP1 and BSMV:CYP2). At mid anthesis (growth stage 65; [29], the florets of the central head spikelets from the BSMV-infected tillers were treated with 10 μl of either DON (5 mg ml-1 0.2% Tween 20) or 0.2% Tween 20 (control) as described previously [26]. Treated heads were covered with plastic bags for 2 days to maintain high humidity. After 24 h, a spikelet directly above the treated spikelet was harvested, flash frozen in liquid N2 and stored at -70 oC for gene expression studies. The number of bleached spikelets (including treated spikelets) was assessed at 14 days after DON treatment. At harvest (GS90) the number of grain per head were determined. Grain were dried and the average weight of a single grain was determined (per head). The VIGS experiment comprised two trials, each of which included 19 heads (9 plants) per treatment combination, arranged in a randomised layout (per trial, 16 were used for phenotyping /gene expression and 19 for yield analysis).

Gene expression studies

Total RNA was extracted from plant material and DNase-treated as described by Ansari et al. [20]. First strand cDNA synthesis and real time RT-PCR analysis to quantify the accumulation of the chromosome 3A, 3B and 3D variants of the TaCYP72A-840 gene were done as described in Walter et al. [4] using homeolog-specific primers (S1 Table; note the 3B specific-primers target both the homologs of on this chromosome). Gene expression was normalised to that of the constitutively expressed housekeeping genes (HK) α-tubulin (GenBank No. U76558.1) [30] and GAPDH (GenBank No. EF592180.1) [31] (see S1 Table for primer sequences). Real time quantification of the accumulation of TaCYP72A transcripts and of the housekeeping genes was performed in separate reactions. The threshold cycle (Ct) values obtained by real-time RT-PCR were used to calculate the fold change in transcript accumulation with the formula 2 - (Ct target transcript–Ct Average HK) [32]. All real time RT-PCR results were based on at least two independent reactions per sample. In silico analysis was also conducted in order to extract gene expression data for TACYP72A homeologs from an FHB RNAseq experiment [33] (corresponding gene IDs: TaCYP72A-3A = TraesCS3A01G532600; TaCYP72A-3B1 = TraesCS3B01G609400; TaCYP72A-3B2 = TraesCS3B01G609600; TaCYP72A-3D = TraesCS3D01G537800).

Statistical analyses

All the data analyses were conducted using MINITAB 16 (Minitab Ltd., Coventry, UK). Normal distribution of data sets was determined using the Ryan Joiner test [34] within Minitab. Non-normally distributed data sets were transformed to fit a normal distribution using the Johnson transformation [34] within Minitab and the statistical significance of variance incorporating Tukey’s test (P = 0.05). The data which could not be transformed using the Johnson transformation [34] was analysed using the non-parametric Mann-Whitney test. The homogeneity of variance between replicate data sets was confirmed by correlation analysis (r ≥ 0.901, P ≤ 0.05, based on Spearman Rank for non-normal and Pearson for normally distributed data) and thus experimental data sets were analysed as one.

Results

Cloning TaCYP72A and phylogenetic characterisation of gene variants

Previous studies within our laboratory identified a novel cytochrome wheat transcript that was responsive to the Fusarium mycotoxin DON (referred to as TaCYP72A-840) [4,5]. We sequenced and compared the mRNA and gDNA sequences from bread wheat cv. CM82036 and thus deduced that the gene contains three introns and four exons (S1A Fig). The gene was named TaCYP72-3A because when compared to the sequenced wheat cv. Chinese Spring genome, the gene is almost identical to a gene (TraesCS3A01G532600) on chromosome 3A (99.34%; S3 and S4 Tables). The two main differences are that the cv. Chinese Spring gene has a different start codon position and one intron is larger (an additional 3.5 kb) relative to cv. CM82036, (S1A Fig and S4 Table). We also sequenced the TaCYP72A-3A gene from wheat cv. Remus and it was similar to that of cv. CM82036 (99% identity) (S1A Fig and S4 Table). The sequenced genome of cv. Chinese Spring encodes three other homeologs of the gene. There are two variants on the 3B genome (3B1 and 3B2) and one on chromosome 3D (S1B Fig; S3 and S4 Tables). The encoded proteins respectively share 95.2, 94.7 and 94.7% homology with TaCYP72A from cv. CM82036. The Poaceae proteins homologous to TaCYP72A are annotated in NCBI as either CYP72A proteins or proteins of unknown function with CYP domains (Fig 1). The cvs. CM82036 and Remus TaCYP72A genes and the cv. Chinese Spring 3B1, 3B2 and 3D homeologs encode the typical cytochrome P450 conserved domains (transmembrane anchor, proline-rich region (often PPGP), C-helix, oxygen binding I-helix, K-helix, heme binding domains) (S1B Fig). The exception is that the cv. Chinese Spring 3A protein lacks the transmembrane anchor (S1 Fig).

thumbnail
Fig 1. Phylogenetic analysis of TaCYP72A and Poaceae homologs.

The deduced amino acid sequences of wheat cv. Chinese Spring TaCYP72A genes, the 3A homologs from cvs. CM82036 and Remus, and the closest Poaceae CYP72A sequences obtained from Ensembl Plants and URGI were used for phylogenetic analysis. Evolutionary distances were computed using the Poisson correction method and are in the units of the number of amino acid substitutions per site. The Neighbor-Joining tree was constructed using Molecular Evolutionary Genetics Analysis Version 7 software (MEGA7). The bootstrap consensus tree was inferred from 10000 replicates. The tree was drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The red box denotes wheat and other Pooideae proteins.

https://doi.org/10.1371/journal.pone.0204992.g001

Phylogenetic analysis deduced that the Ta-CYP72A wheat variants formed a distinct clade with two subgroups (Fig 1). Subgroup 1 comprised the 3A variants from cvs. CM82036, Remus and Chinese Spring and the gene from the wheat genome A progenitor, Triticum urartu, which has been annotated as a CYP72A1 encoding a secologanin synthase. Subgroup 2 comprised the 3B1, 3B2 and 3D homeologs from cv. Chinese Spring. Outside wheat, the closest Poaceae homologs were those from Brachypodium distachyon, Aegilops tauschii and Hordeum vulgare (Fig 1).

TaCYP72A genes are mycotoxin-responsive

TaCYP72A-3A was originally identified as a DON-responsive gene in the FHB and DON-resistant wheat cv. CM82036 [4]. We used quantitative real-time RT-PCR (qRT-PCR) to analyse the temporal response of TaCYP72A variants to DON and F. graminearum in heads of ‘CM82036’, using primers specific to either (i) the chromosome 3A, (ii) both chromosome 3B variants (3B1 and 3B2) or (iii) to the 3D homeolog (Figs 2 and 3). In mock-treated tissue, the basal expression of the 3A, 3B1/3B2 and 3D homeologs of TaCYP72A was near detectable limits, in contrast to the high level of gene expression in DON-treated tissues. DON induction of all TaCYP72A variants peaked at 1 day post-treatment (Fig 2). Thus, TaCYP72A genes were activated as part of the early response to the toxigenic Fusarium virulence factor DON. Based on their DON-responsiveness, we hypothesised that TaCYP72A homeologs would be activated as an early response to Fusarium. This was the case, with F. graminearum up-regulating transcription as early as 1 days post inoculation (dpi), induction peaking at 2 dpi and diminishing thereafter (Fig 3). In silico analysis of gene expression data from an FHB experiment showed that all TaCYP72A chromosomal variants were also responsive to F. graminearum in four other wheat genotypes at both 2 and 4 dpi (S3 Fig). At 2 dpi the chromosome 3A variant was more responsive to the pathogen in both the FHB resistant cv. Nyubai and its derivative HC374 than in the FHB resistant cv. Wuhan 1 or the FHB susceptible cv. Shaw. Notably, cv. Nyubai and its derivative HC374 carry the same cv. Sumai 3-derived FHB resistance QTL as does cv. CM82036 [34].

thumbnail
Fig 2. The accumulation of TaCYP72A transcripts in heads of wheat cultivar CM82036 in response to DON.

Homeologs: (A) TaCYP72A-3A (B) TaCYP72A-3B1/3B2 (the RT-PCR targeted both 3B genes) (C) TaCYP72A-3D. At mid anthesis (growth stage 65) [29] two central spikelets of the heads were inoculated with 20 μl (40 μl per head) of either DON (Santa Cruz, Texas, USA) (16.87 mM DON in 0.02% Tween 20,) or mock (0.02% Tween 20). Treated spikelets were harvested at 0, 1, 2, 3, 5 days after inoculation. RNA was extracted from the harvested spikelets and used for qRT-PCR analysis. Gene expression was quantified relative to wheat α-tubulin and GAPDH housekeeping (HK) genes (2 - (Ct TaCYP72A –Ct Average HK)). Results represent the mean data obtained from two biological replicates, RNA was extracted from one pooled sample per treatment (representing a pool of 4 heads from individual plants) and bars indicate SEM. Columns with the same letter are not significantly different (P<0.05).

https://doi.org/10.1371/journal.pone.0204992.g002

thumbnail
Fig 3. The accumulation of TaCYP72A transcripts in heads of wheat cultivar CM82036 in response to F. graminearum.

Homeologs: (A) TaCYP72A-3A (B) TaCYP72A-3B1/3B2 (the RT-PCR targeted both 3B genes) (C) TaCYP72A-3D. At mid anthesis (growth stage 65) [29] two central spikelets of the heads were inoculated with 2x104 spores of either wild type F. graminearum GZ3639 or its DON-minus mutant derivative GZT40 or mock (0.02% Tween 20). Treated spikelets were harvested at 0, 1, 2, 3, 5 days after inoculation. RNA was extracted from the harvested spikelets and used for qRT-PCR analysis. Gene expression was quantified relative to wheat α-tubulin and GAPDH housekeeping (HK) genes (2 - (Ct TaCYP72A –Ct Average HK)). Results represent the mean data obtained from two biological replicates, RNA was extracted from one pooled sample per treatment (representing a pool of 4 heads from individual plants) and bars indicate SEM. Columns with the same letter are not significantly different (P<0.05).

https://doi.org/10.1371/journal.pone.0204992.g003

To determine if Fusarium activation of gene expression was toxin-dependent, we assessed the effect of a non-DON-producing mutant derivative of F. graminearum on TaCYP72A transcription. Unlike the wild type strain, the mutant had little effect on TaCYP72A expression (Fig 3).

Comparing the homeologs, we found that they all displayed a similar expression profile in response to DON (Fig 2), wild type F. graminearum and its’ DON-minus mutant derivative (Fig 3). The 3B and 3D homeolog expression levels were three times higher than that of the 3A homeolog in DON and Fusarium-treated cv. CM82036 samples at 1 dpi. But, the responsiveness of the 3B and 3D homeologs to DON and Fusarium, relative to mock treatment (i.e. the fold change), was similar to that of 3A (and the variants generally showed similar responses to F. graminearum in four other wheat cultivars based on the in silico analysis presented in S3 Fig [34]).

Silencing of TaCYP72A reduces DON tolerance in wheat

DON is phytotoxic. Wheat genotypes vary in their ability to tolerate the toxin and, when it is applied to intolerant heads, it causes damage in the form of bleached spikelets [4]. A virus-induced gene silencing (VIGS) experiment was conducted to determine if TaCYP72A homeologs contribute to DON tolerance in wheat cv. CM82036. Silencing was achieved using two constructs (BSMV:CYP1 and BSMV:CYP2; S2 Fig), applied as independent treatments, and these targeted all four homeologs of the gene (3A, 3B1, 3B2 and 3D). Gene expression analyses (qRT-PCR) specific to each of the homeologs was conducted in order to validate the efficacy of VIGS. DON treatment of central head spikelets induced TaCYP72A expression, but in gene-silenced plants the DON induction of TaCYP72A-3A was significantly reduced by 62 and 54%, respectively, by treatment with BSMV:CYP1 and BSMV:CYP2, as compared to the effect of DON on plants treated with the mock virus (BSMV:00) (P < 0.05; Fig 4A). Gene silencing was also observed for the 3B1/3B2 and 3D homeologs. Treatment with BSMV:CYP1 and BSMV-CYP2 resulted in a 71–88% decrease in the accumulation of the chromosome 3B and 3D transcripts in DON treated heads, as compared to the DON effect in heads treated with the mock virus (BSMV:00) (P < 0.05; Fig 4B and 4C). In the absence of DON, minimal TaCYP72A expression was observed, but expression was usually lower (albeit not significantly so) in gene silenced as compared to non-silenced plants.

thumbnail
Fig 4. Virus-induced gene silencing (VIGS) of TaCYP72A in wheat heads.

Plants of wheat cultivar CM82036 were subjected to VIGS using barley stripe mosaic virus (BSMV) constructs. Plants were treated with either BSMV:00 (empty vector) or BSMV:CYP1 or BSMV:CYP2 (constructs targeting TaCYP72A). Flag leaves were treated with the tripartite BSMV plasmids [28], prior to emergence of the first head, and subsequently emergent head treated with either 10 μl of 5 mg ml-1 DON or 0.02% Tween 20 (Mock treatment) at mid-anthesis. The spikelets just above the treated spikelets were collected for gene expression studies. Gene silencing in wheat spikelets was quantified by qRT-PCR analysis using primers specific to TaCYP72A-840 homeologs on chromosome (A) 3A, (B) 3B1/3B2 and (C) 3D; expression was calculated relative to the reference genes α-tubulin and GAPDH (2 - (Ct TaCYP72 –Ct Average HK)). (D) By 14 dpi DON-induced discolouration was more evident on gene-silenced as compared to on mock (virus) treated samples (arrow indicates spikelets treated with either Tween 20 or DON). (E) Quantification of the DON-induced discolouration of spikelets. Note that BSMV:00 treatment did not itself change the phenotype (as compared to non viral FES buffer treatment, for which the phenotypic results were previously shown [35]. Results (A), (B), (C) and (E) are the average of 32 heads per treatment (from two biological replicates). Error bars indicate SEM. Columns with the same letter are not significantly different (P<0.05).

https://doi.org/10.1371/journal.pone.0204992.g004

At a phenotypic level, assessment of heads at 14 days post-toxin treatment showed that BSMV:CYP1 and BSMV:CYP2 treated plants were significantly more sensitive to DON-induced damage than the BSMV:00 treated plants (P < 0.05; Fig 4D and 4E). Silencing of TaCYP72A-840 variants resulted in > 2.3-fold increase in the number of DON-damaged spikelets (in BSMV:CYP1 or BSMV:CYP2 versus BSMV:00 plants). Cultivar CM82036 is very resistant to DON-induced bleaching of heads and plants treated with BSMV:00 showed very little discolouration, i.e. less than one spikelet per head showed a brown discolouration, the average being 0.6 (Fig 4D and 4E). Those treated with either BSMV:CYP1 or BSMV:CYP2 showed up to 1.5 spikelets per head discoloured due to the toxin, the average being 1.6 and 1.4, respectively.

TaCYP72A-3A positively effects grain number and reduces yield loss due to DON

Although, the reductions in TaCYP72A gene expression due to VIGS in mock Tween 20 treated heads were not significant in the spikelets tested (Fig 4), it did affect grain number. VIGS of this gene subfamily did reduce the seed number obtained per head by >59% (P<0.05) compared with plants treated with empty virus BSMV:00. This reduction was observed in both mock Tween 20 and toxin-treated heads and was therefore not dependent on DON (Fig 5A). Indeed, comparing DON and Tween 20 treatment in BSMV:00-treated tissue, it was evident that DON treatment did not significantly reduce either grain number (Fig 5A) or grain weight (Fig 5B). But, gene silencing with either BSMV:CYP1 and BSMV:CYP2 exacerbated the negative effect of DON on grain weight, and significantly so for the former construct (31% reduction in grain weight in BSMV:CYP1-treated plant when comparing DON versus Tween 20 treated heads; Fig 5B). Overall the results led us to conclude that TaCYP72A positively influences grain development.

thumbnail
Fig 5. Effect of silencing TaCYP72A genes on grain number and weight in both mock and DON-treated heads of wheat cultivar CM82036.

Virus induced gene silencing (VIGS) was conducted as described in Fig 4 (flag leaf VIGS treatments being empty virus BSMV:00 or treatments BSMV:CYP1 and BSMV:CYP2 which target TaCYP72A variants for silencing); subsequently, emergent heads were treated with 10 μl of 5 mg ml-1 DON or 0.02% Tween 20 (mock treatment). At harvest the heads were collected and both the (A) grain number and (B) average grain weight per head were determined. Results are the average of 32 heads per treatment (from two biological replicates). Error bars indicate SEM. Columns with the same letter are not significantly different (P<0.05).

https://doi.org/10.1371/journal.pone.0204992.g005

Discussion

This study confirmed that TaCYP72A from the CYP72A subfamily of cytochrome P450s contributes to DON resistance in wheat. Using the RNA from the same time course experiment as used herein, Perochon et al. [26] recently reported that the transcription of the Fusarium DON biosynthetic gene FgTri5 peaked at 2 dpi, and this coincides with the peak in pathogen induction of TaCYP72A. Thus, we concluded that the expression of TaCYP72A was coincident with toxin biosynthesis. Perochon et al. [26] also reported that both the DON-minus mutant and the wild type F. graminearum induced a defence response in wheat, as determined via qRT-PCR analysis of the defence marker gene Triticum aestivum Pathogenesis-Related-1 (TaPR1) [26]. Hence, since TaCYP72A was only induced by the wild type fungus and not the mutant, we conclude that TaCYP72A is activated as part of the wheat response to toxin production rather than as part of a general defence response against F. graminearum.

Cytochrome P450s of CYP72 family belong to the non-A type cytochrome P450s which include highly divergent group of sequences that show local similarity to non-plant cytochrome P450s than to other plant cytochrome P450s and function in lipid or hormone metabolism while the A-type P450s are involved in biosynthesis of secondary metabolites [36]. The CYP72A subfamily from the model plant Arabidopsis comprises a cluster of 8 cytochrome P450s, however their functions are still unknown [23]. The enzymatic function of TaCYP72A remains unknown, with no close homolog being biochemically characterised. Several homologs have been annotated as secologanin synthase proteins based on their homology to Catharanthus roseus protein CYP72A1. But the homology between this protein and TaCYP72A is 51% and we should not infer anything from this as it appears to be typical that even closely related CYP72A proteins are involved in different pathways, suggesting that CYP72A functional evolution is independent of the other CYP72As in each plant species [37]. Trichothecenes are potent inhibitors of eukaryotic protein synthesis and DON inhibits the peptidyl transferase activity in 60S ribosome subunit [38]. It may be that the induction of the TaCYP72A and its homeologs is a downstream response to the protein synthesis inhibitory activity of trichothecenes, as gene expression studies confirmed that TaCYP72A is responsive to the protein synthesis inhibitor cycloheximide (unpublished data).

TaCYP72A is the first plant cytochrome P450 gene subfamily shown to enhance DON resistance in plants. This was validated via gene silencing in the plant of origin, wheat. TaCYP72A acts either to alleviate DON-induced stress or is directly involved in DON detoxification as a component of the classical xenobiotic detoxification pathway [39]. The increase in the number of DON-bleached spikelets in TaCYP72A-silenced wheat plants suggests that this gene subfamily might directly affect either DON detoxification or translocation. A wheat UDP-glucosyltransferase (TaUGT3) and a barley UDP-glucosyltransferase (HvUGT13248) have been cloned which were able to convert DON to DON-3-O-glucoside [40,41]. However, DON naturally possess a hydroxyl at the glucosylated C-3 atom [42,43] and thus there is no obvious need for cytochrome P450 activity to precede that of UGT. A cytochrome P450 enzyme from a DON-utilising bacterium, Sphingomonas sp., was shown to catabolise DON in vitro and the reaction product was identified as 16-hydroxy-DON [15]. In a bioassay using wheat seedlings, 16-hydroxy-DON showed reduced toxicity compared to DON [15]. This demonstrates that hydroxylation of DON is a DON detoxification mechanism and cytochrome P450s are capable of detoxifying DON independent of phase II enzymes. It is not known if a similar DON detoxification mechanism exists in plants. The bacterial enzyme and TaCYP72A belong to different subfamilies of cytochrome P450s.

The DON detoxification model proposed in animals by Sobrova et al. [39] suggests that cytochrome P450s might oxidise the free hydroxyl groups of DON to form DON radicals which might then be scavenged by antioxidant enzymes or conjugated with glutathione (GSH). The co-expression of wheat cytochrome P450 genes, including TaCYP72A-840, with UGTs, GSTs and ABC transporters [4,12,14] suggests that that plants might possess a variant of the proposed DON detoxification model in animals. The model suggests that cytochrome P450s might metabolise DON and the metabolites can be further conjugated with GSH for extrusion. DON-glutathione (GSH) conjugate was discovered as one of several DON conjugates in wheat [44]. That study also detected five other DON conjugates that remain to be characterised, thus highlighting the fact that we know very little about the DON biotransformation mechanisms that exist in planta. And recently, we found that a DON-responsive ABC family C drug transporter contributes to DON resistance in wheat. VIGS analysis of the encoding gene reduced wheat resistance to DON [35]. Thus there is compounding evidence for the activation and toxin-induced up-regulation of detoxification pathways in wheat. More importantly, there is evidence that they are important components of defence against DON.

Note that we also validated that overexpression of a variant of TaCYP72A-3A enhances FHB resistance in wheat (and positively affects grain development). This data is not presented because, unfortunately, based on the new wheat genome, we realised that there are three non-synonymous mutations in the overexpressed gene as compared to TaCYP72A-3A (but not in the active site). Nonetheless, collectively the results give us great confidence that TaCYP72A and variants thereof can enhance DON resistance.

While other subfamilies of CYP genes have been shown to influence both grain size and number [45,46], this is the first report that a CYP72A gene influences yield from wheat. This is the second gene that both enhances DON resistance and alters grain development; Walter et al. [35] showed that the DON-responsive ABC transporter TaABCC3.1 enhanced DON resistance and affected grain formation. Indeed, based on a transcriptome study by Chetouhi et al. [47], they concluded that the molecular responses to FHB in a susceptible cultivar was congruent with those for grain development (at least in a susceptible genotype). Genes involved in the response to both FHB and grain development and the interaction of these two responses were enriched for those involved in GTP catabolic process, histone lysine methylation, response to growth hormone stimulus, embryo development, responses to pathogen and drug transmembrane transport. It is therefore without doubt that the ‘omics’ study of transgenics overexpressing gene such as TACYP72A-840 will give insights into both FHB disease resistance and grain development. We are currently analyzing the allelic diversity of TaCYP72A across a broad array of wheat genetic stocks to determine if SNPs (Single Nucleotide Polymorphism) within the gene promoter or gene are associated with various traits. Working with breeders, we aim to determine if such markers are of benefit for FHB resistance breeding.

Supporting information

S1 Fig.

Alignment of the chromosome 3A variants of TaCYP72A from wheat cvs. CM82036 and Remus with chromosome 3A, 3B’s and 3D homeologs from wheat cv. Chinese Spring (abbreviated to CS). The DNA and protein sequences were aligned using multalin (http://multalin.toulouse.inra.fr/multalin/). (A) Schematic representation of the genomic DNA alignment from the start codon (ATG) to the stop codon (TAG). The introns (I-1, I-2 and I-3) and exons (E1, E2, E3 and E4). (B) Aligned protein sequences. The cytochrome P450 (CYP) conserved domains were identified manually [23]. The deduced amino acid sequences contained the cytochrome P450 conserved domains: transmembrane anchor, proline-rich region (often PPGP), C-helix (WVKHR), oxygen-binding I helix (A/G-G-X-E/D-T-T/S), K-helix (EVLR), P (E) R (F) clade signature and the heme-binding cysteine region (F-X-X-G-X-R-C-X-G).

https://doi.org/10.1371/journal.pone.0204992.s001

(JPG)

S2 Fig.

Illustration of the position of the VIGS fragments within the mRNA encoding the wheat TaCYP72A homeologs on chromosome 3A, 3B (two variants) and 3D targeted for gene silencing and the position of the qRT-PCR target used to validate VIGS efficacy. Numbers indicate the nucleotide positions in the TaCYP72A mRNA and other homeologs sequences were based on the sequenced genome of cv. Chinese Spring. Illustrations are not to scale.VIGS1 = BSMV:CYP1, VIGS2 = BSMV:CYP2, qRT PCR = quantitative Real Time PCR, UTR = Untranslated region.

https://doi.org/10.1371/journal.pone.0204992.s002

(JPG)

S3 Fig. Fold change of wheat TaCYP72A homeologs in heads of four wheat cultivars in response to Fusarium graminearum (as compared to water-treated controls) at 2 and 4 days post-inoculation.

Data for the TaCYP72A homeologs TraesCS3A01G532600 (TaCYP72A-3A), TraesCS3B01G609400 (TaCYP72A-3B1), TraesCS3B01G609600 (TaCYP72A-3B2) and TraesCS3D01G537800 (TaCYP72A-3D) was obtained from wheat RNA-seq experiments conducted by Pan et al. [34] and is presented as log2 fold change (P≤0.01 for all genotypes and time points, as compared to the water controls).

https://doi.org/10.1371/journal.pone.0204992.s003

(PDF)

S2 Table. Homology of VIGS constructs to wheat TaCYP72A homeologs from cv. Chinese Spring and sequenced 3A gene from cv. CM82036.

https://doi.org/10.1371/journal.pone.0204992.s005

(DOCX)

S3 Table. TaCYP72A genes analysed in this study.

https://doi.org/10.1371/journal.pone.0204992.s006

(DOCX)

S4 Table. DNA sequence similarity between the CDS of TaCYP72A-3A from wheat cv. CM82036 and homologs/homeologs from cvs. Remus and Chinese Spring.

https://doi.org/10.1371/journal.pone.0204992.s007

(DOCX)

Acknowledgments

We acknowledge Science Foundation Ireland for providing funding (project nos. 10/IN.1/B3028 and 14/1A/2508). We thank: Hermann Buerstmayr (IFA-Tulln, Austria) for providing wheat seeds of cvs. CM82036 and Remus; Robert Proctor (USDA) for F. graminearum fungi; Steven R. Scofield (Purdue University, USA) for BSMV VIGS vectors. The authors thank the International Wheat Genome Sequencing Consortium for pre-publication access to IWGSC RefSeq v1.0.The authors declare they have no competing interests.

References

  1. 1. Morant M, Bak S, Møller BL, Werck-Reichhart D (2003) Plant cytochromes P450: tools for pharmacology, plant protection and phytoremediation. Current opinion in biotechnology 14: 151–162. pmid:12732316
  2. 2. Schuler MA, Werck-Reichhart D (2003) Functional genomics of P450s. Annual Review of Plant Biology 54: 629–667. pmid:14503006
  3. 3. Schuler MA, Duan H, Bilgin M, Ali S (2006) Arabidopsis cytochrome P450s through the looking glass: a window on plant biochemistry. Phytochemistry Reviews 5: 205–237.
  4. 4. Walter S, Brennan JM, Arunachalam C, Ansari KI, Hu X, Khan MR, et al. (2008) Components of the gene network associated with genotype-dependent response of wheat to the Fusarium mycotoxin deoxynivalenol. Functional & integrative genomics 8: 421–427.
  5. 5. Walter S, Doohan F (2011) Transcript profiling of the phytotoxic response of wheat to the Fusarium mycotoxin deoxynivalenol. Mycotoxin Research 27: 221–230. pmid:23605803
  6. 6. Parry D, Jenkinson P, McLeod L (1995) Fusarium ear blight (scab) in small grain cereals—a review. Plant Pathology 44: 207–238.
  7. 7. Osborne LE, Stein JM (2007) Epidemiology of Fusarium head blight on small-grain cereals. International Journal of Food Microbiology 119: 103–108. pmid:17716761
  8. 8. Nicholson P, Chandler E, Draeger RC, Gosman NE, Simpson DR, Thomsett M, et al. (2003) Molecular tools to study epidemiology and toxicology of Fusarium head blight of cereals. European Journal of Plant Pathology 109: 691–703.
  9. 9. Pestka J (2010) Toxicological mechanisms and potential health effects of deoxynivalenol and nivalenol. World Mycotoxin Journal 3: 323–347.
  10. 10. Bottalico A, Perrone G (2002) Toxigenic Fusarium species and mycotoxins associated with head blight in small-grain cereals in Europe. European Journal of Plant Pathology 108: 611–624.
  11. 11. Gunupuru L, Perochon A, Doohan F (2017) Deoxynivalenol resistance as a component of FHB resistance. Tropical Plant Pathology: 1–9.
  12. 12. Boddu J, Cho S, Muehlbauer GJ (2007) Transcriptome analysis of trichothecene-induced gene expression in barley. Molecular plant-microbe interactions 20: 1364–1375. pmid:17977148
  13. 13. Li X, Zhang J, Song B, Li H, Xu H, Qu B, et al. (2010) Resistance to Fusarium head blight and seedling blight in wheat is associated with activation of a cytochrome P450 gene. Phytopathology 100: 183–191. pmid:20055652
  14. 14. Gardiner SA, Boddu J, Berthiller F, Hametner C, Stupar RM, Adam G, et al. (2010) Transcriptome analysis of the barley-deoxynivalenol interaction: evidence for a role of glutathione in deoxynivalenol detoxification. Molecular plant-microbe interactions 23: 962–976. pmid:20521958
  15. 15. Ito M, Sato I, Ishizaka M, Yoshida S-i, Koitabashi M, Yoshida S, et al. (2013) Bacterial cytochrome P450 system catabolizing the Fusarium toxin deoxynivalenol. Applied and environmental microbiology 79: 1619–1628. pmid:23275503
  16. 16. Buerstmayr H, Steiner B, Hartl L, Griesser M, Angerer N, Lengauer D, et al. (2003) Molecular mapping of QTLs for Fusarium head blight resistance in spring wheat. II. Resistance to fungal penetration and spread. Theoretical and Applied Genetics 107: 503–508. pmid:12768240
  17. 17. Proctor R, Hohn T, McCormick S (1995) Reduced virulence of Gibberella zeae caused by disruption of a trichothecene toxin biosynthetic gene: MPMI. Molecular plant-microbe interactions 8: 593–601. pmid:8589414
  18. 18. Bai G-H, Shaner G (1996) Variation in Fusarium graminearum and cultivar resistance to wheat scab. Plant disease 80: 975–979.
  19. 19. Brennan JM, Egan D, Cooke BM, Doohan FM (2005) Effect of temperature on head blight of wheat caused by Fusarium culmorum and F. graminearum. Plant Pathology 54: 156–160.
  20. 20. Ansari KI, Walter S, Brennan JM, Lemmens M, Kessans S, McGahern A, et al. (2007) Retrotransposon and gene activation in wheat in response to mycotoxigenic and non-mycotoxigenic-associated Fusarium stress. Theoretical and Applied Genetics 114: 927–937. pmid:17256175
  21. 21. Sayers EW, Barrett T, Benson DA, Bolton E, Bryant SH, Canese K, et al. (2011) Database resources of the national center for biotechnology information. Nucleic acids research 39: D38–D51. pmid:21097890
  22. 22. Hebsgaard SM, Korning PG, Tolstrup N, Engelbrecht J, Rouzé P, Brunak S (1996) Splice site prediction in Arabidopsis thaliana pre-mRNA by combining local and global sequence information. Nucleic acids research 24: 3439–3452. pmid:8811101
  23. 23. Bak S, Beisson F, Bishop G, Hamberger B, Höfer R, Paquette S, et al. (2011) Cytochromes P450. The Arabidopsis Book/American Society of Plant Biologists 9.
  24. 24. Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Molecular biology and evolution 4: 406–425. pmid:3447015
  25. 25. Kumar S, Stecher G, Tamura K (2016) MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Molecular Biology and Evolution 33: 1870–1874. pmid:27004904
  26. 26. Perochon A, Jianguang J, Kahla A, Arunachalam C, Scofield SR, Bowden S, et al. (2015) TaFROG encodes a Pooideae orphan protein that interacts with SnRK1 and enhances resistance to the mycotoxigenic fungus Fusarium graminearum. Plant physiology 169: 2895–2906. pmid:26508775
  27. 27. Holzberg S, Brosio P, Gross C, Pogue GP (2002) Barley stripe mosaic virus-induced gene silencing in a monocot plant. The Plant Journal 30: 315–327. pmid:12000679
  28. 28. Scofield SR, Huang L, Brandt AS, Gill BS (2005) Development of a virus-induced gene-silencing system for hexaploid wheat and its use in functional analysis of the Lr21-mediated leaf rust resistance pathway. Plant Physiology 138: 2165–2173. pmid:16024691
  29. 29. Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed research 14: 415–421.
  30. 30. Xiang Y, Song M, Wei Z, Tong J, Zhang L, Xiao L, et al. (2011) A jacalin-related lectin-like gene in wheat is a component of the plant defence system. Journal of experimental botany 62: 5471–5483. pmid:21862481
  31. 31. Soltanloo H, Khorzoghi EG, Ramezanpour SS, Arabi MK, Pahlavani MH (2010) The expression profile of Chi-1, Glu-2, Glu-3 and PR1. 2 genes in Scab-resistant and susceptible wheat cultivars during infection by Fusarium graminearum. Plant Omics 3: 162.
  32. 32. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25: 402–408. pmid:11846609
  33. 33. Kugler KG, Siegwart G, Nussbaumer T, Ametz C, Spannagl M, Steiner B, et al. (2013) Quantitative trait loci-dependent analysis of a gene co-expression network associated with Fusarium head blight resistance in bread wheat (Triticum aestivum L.). BMC genomics 14: 728. pmid:24152241
  34. 34. Ryan T, Joiner B (1976) Normal probability plots and tests for normality. Minitab Statistical Software: Technical Reports. The Pennsylvania State University, State College, PA. Available from MINITAB. Inc.
  35. 35. Walter S, Kahla A, Arunachalam C, Perochon A, Khan MR, Scofield SR, et al. (2015) A wheat ABC transporter contributes to both grain formation and mycotoxin tolerance. Journal of experimental botany: erv048.
  36. 36. Paquette SM, Bak S, Feyereisen R (2000) Intron-exon organization and phylogeny in a large superfamily, the paralogous cytochrome P450 genes of Arabidopsis thaliana. DNA and Cell Biology 19: 307–317. pmid:10855798
  37. 37. Prall W, Hendy O, Thornton LE (2016) Utility of a Phylogenetic Perspective in Structural Analysis of CYP72A Enzymes from Flowering Plants. PloS one 11: e0163024. pmid:27669508
  38. 38. Wei C-M, Campbell IM, McLaughlin CS, Vaughan MH (1974) Binding of trichodermin to mammalian ribosomes and its inhibition by other 12,13-epoxytrichothecenes. Molecular and Cellular Biochemistry 3: 215–219. pmid:4839101
  39. 39. Sobrova P, Adam V, Vasatkova A, Beklova M, Zeman L, Kizek R (2010) Deoxynivalenol and its toxicity. Interdisciplinary toxicology 3: 94–99. pmid:21217881
  40. 40. Lulin M, Yi S, Aizhong C, Zengjun Q, Liping X, Peidu C, et al. (2010) Molecular cloning and characterization of an up-regulated UDP-glucosyltransferase gene induced by DON from Triticum aestivum L. cv. Wangshuibai. Molecular biology reports 37: 785–795. pmid:19585272
  41. 41. Schweiger W, Boddu J, Shin S, Poppenberger B, Berthiller F, Lemmens M, et al. (2010) Validation of a candidate deoxynivalenol-inactivating UDP-glucosyltransferase from barley by heterologous expression in yeast. Molecular plant-microbe interactions 23: 977–986. pmid:20521959
  42. 42. Lemmens M, Scholz U, Berthiller F, Dall'Asta C, Koutnik A, Schuhmacher R, et al. (2005) The ability to detoxify the mycotoxin deoxynivalenol colocalizes with a major quantitative trait locus for Fusarium head blight resistance in wheat. Molecular plant-microbe interactions 18: 1318–1324. pmid:16478051
  43. 43. Poppenberger B, Berthiller F, Lucyshyn D, Sieberer T, Schuhmacher R, Krska R, et al. (2003) Detoxification of the Fusarium mycotoxin deoxynivalenol by a UDP-glucosyltransferase from Arabidopsis thaliana. Journal of Biological Chemistry 278: 47905. pmid:12970342
  44. 44. Kluger B, Bueschl C, Lemmens M, Berthiller F, Häubl G, Jaunecker G, et al. (2013) Stable isotopic labelling-assisted untargeted metabolic profiling reveals novel conjugates of the mycotoxin deoxynivalenol in wheat. Analytical and bioanalytical chemistry 405: 5031–5036. pmid:23086087
  45. 45. Tian Y, Zhang M, Hu X, Wang L, Dai J, Xu Y, et al. (2016) Over-expression of CYP78A98, a cytochrome P450 gene from Jatropha curcas L., increases seed size of transgenic tobacco. Electronic Journal of Biotechnology 19: 15–22.
  46. 46. Ma M, Zhao H, Li Z, Hu S, Song W, Liu X (2016) TaCYP78A5 regulates seed size in wheat (Triticum aestivum). Journal of experimental botany 67: 1397–1410. pmid:26712825
  47. 47. Chetouhi C, Bonhomme L, Lasserre-Zuber P, Cambon F, Pelletier S, Renou J-P, et al. (2016) Transcriptome dynamics of a susceptible wheat upon Fusarium head blight reveals that molecular responses to Fusarium graminearum infection fit over the grain development processes. Functional & integrative genomics 16: 183–201.