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Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance

BACKGROUND: Aflatoxin is a potent carcinogen that can contaminate grain infected with the fungus Aspergillus flavus. However, resistance to aflatoxin accumulation in maize is a complex trait with low heritability. Here, two complementary analyses were performed to better understand the mechanisms in...

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Autores principales: Tang, Juliet D., Perkins, Andy, Williams, W. Paul, Warburton, Marilyn L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558830/
https://www.ncbi.nlm.nih.gov/pubmed/26334534
http://dx.doi.org/10.1186/s12864-015-1874-9
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author Tang, Juliet D.
Perkins, Andy
Williams, W. Paul
Warburton, Marilyn L.
author_facet Tang, Juliet D.
Perkins, Andy
Williams, W. Paul
Warburton, Marilyn L.
author_sort Tang, Juliet D.
collection PubMed
description BACKGROUND: Aflatoxin is a potent carcinogen that can contaminate grain infected with the fungus Aspergillus flavus. However, resistance to aflatoxin accumulation in maize is a complex trait with low heritability. Here, two complementary analyses were performed to better understand the mechanisms involved. The first coupled results of a genome-wide association study (GWAS) that accounted for linkage disequilibrium among single nucleotide polymorphisms (SNPs) with gene-set enrichment for a pathway-based approach. The rationale was that the cumulative effects of genes in a pathway would give insight into genetic differences that distinguish resistant from susceptible lines of maize. The second involved finding non-pathway genes close to the most significant SNP-trait associations with the greatest effect on reducing aflatoxin in multiple environments. Unlike conventional GWAS, the latter analysis emphasized multiple aspects of SNP-trait associations rather than just significance and was performed because of the high genotype x environment variability exhibited by this trait. RESULTS: The most significant metabolic pathway identified was jasmonic acid (JA) biosynthesis. Specifically, there was at least one allelic variant for each step in the JA biosynthesis pathway that conferred an incremental decrease to the level of aflatoxin observed among the inbred lines in the GWAS panel. Several non-pathway genes were also consistently associated with lowered aflatoxin levels. Those with predicted functions related to defense were: leucine-rich repeat protein kinase, expansin B3, reversion-to-ethylene sensitivity1, adaptor protein complex2, and a multidrug and toxic compound extrusion protein. CONCLUSIONS: Our genetic analysis provided strong evidence for several genes that were associated with aflatoxin resistance. Inbred lines that exhibited lower levels of aflatoxin accumulation tended to share similar haplotypes for genes specifically in the pathway of JA biosynthesis, along with several non-pathway genes with putative defense-related functions. Knowledge gained from these two complementary analyses has improved our understanding of population differences in aflatoxin resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1874-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45588302015-09-04 Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance Tang, Juliet D. Perkins, Andy Williams, W. Paul Warburton, Marilyn L. BMC Genomics Research Article BACKGROUND: Aflatoxin is a potent carcinogen that can contaminate grain infected with the fungus Aspergillus flavus. However, resistance to aflatoxin accumulation in maize is a complex trait with low heritability. Here, two complementary analyses were performed to better understand the mechanisms involved. The first coupled results of a genome-wide association study (GWAS) that accounted for linkage disequilibrium among single nucleotide polymorphisms (SNPs) with gene-set enrichment for a pathway-based approach. The rationale was that the cumulative effects of genes in a pathway would give insight into genetic differences that distinguish resistant from susceptible lines of maize. The second involved finding non-pathway genes close to the most significant SNP-trait associations with the greatest effect on reducing aflatoxin in multiple environments. Unlike conventional GWAS, the latter analysis emphasized multiple aspects of SNP-trait associations rather than just significance and was performed because of the high genotype x environment variability exhibited by this trait. RESULTS: The most significant metabolic pathway identified was jasmonic acid (JA) biosynthesis. Specifically, there was at least one allelic variant for each step in the JA biosynthesis pathway that conferred an incremental decrease to the level of aflatoxin observed among the inbred lines in the GWAS panel. Several non-pathway genes were also consistently associated with lowered aflatoxin levels. Those with predicted functions related to defense were: leucine-rich repeat protein kinase, expansin B3, reversion-to-ethylene sensitivity1, adaptor protein complex2, and a multidrug and toxic compound extrusion protein. CONCLUSIONS: Our genetic analysis provided strong evidence for several genes that were associated with aflatoxin resistance. Inbred lines that exhibited lower levels of aflatoxin accumulation tended to share similar haplotypes for genes specifically in the pathway of JA biosynthesis, along with several non-pathway genes with putative defense-related functions. Knowledge gained from these two complementary analyses has improved our understanding of population differences in aflatoxin resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1874-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-03 /pmc/articles/PMC4558830/ /pubmed/26334534 http://dx.doi.org/10.1186/s12864-015-1874-9 Text en © Tang et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tang, Juliet D.
Perkins, Andy
Williams, W. Paul
Warburton, Marilyn L.
Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title_full Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title_fullStr Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title_full_unstemmed Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title_short Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
title_sort using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558830/
https://www.ncbi.nlm.nih.gov/pubmed/26334534
http://dx.doi.org/10.1186/s12864-015-1874-9
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