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Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.)
Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of pasmo severity was performed in the field from 201...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339956/ https://www.ncbi.nlm.nih.gov/pubmed/30693010 http://dx.doi.org/10.3389/fpls.2018.01982 |
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author | He, Liqiang Xiao, Jin Rashid, Khalid Y. Yao, Zhen Li, Pingchuan Jia, Gaofeng Wang, Xiue Cloutier, Sylvie You, Frank M. |
author_facet | He, Liqiang Xiao, Jin Rashid, Khalid Y. Yao, Zhen Li, Pingchuan Jia, Gaofeng Wang, Xiue Cloutier, Sylvie You, Frank M. |
author_sort | He, Liqiang |
collection | PubMed |
description | Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of pasmo severity was performed in the field from 2012 to 2016 in Morden, MB, Canada. Genotyping-by-sequencing has identified 258,873 single nucleotide polymorphisms (SNPs) distributed on all 15 flax chromosomes. Marker-trait associations were identified using ten different statistical models. A total of 692 unique quantitative trait nucleotides (QTNs) associated with 500 putative quantitative trait loci (QTL) were detected from six phenotypic PR datasets (five individual years and average across years). Different QTNs were identified with various statistical models and from individual PR datasets, indicative of the complementation between analytical methods and/or genotype × environment interactions of the QTL effects. The single-locus models tended to identify large-effect QTNs while the multi-loci models were able to detect QTNs with smaller effects. Among the putative QTL, 67 had large effects (3–23%), were stable across all datasets and explained 32–64% of the total variation for PR in the various datasets. Forty-five of these QTL spanned 85 resistance gene analogs including a large toll interleukin receptor, nucleotide-binding site, leucine-rich repeat (TNL) type gene cluster on chromosome 8. The number of QTL with positive-effect or favorite alleles (NPQTL) in accessions was significantly correlated with PR (R(2) = 0.55), suggesting that these QTL effects are mainly additive. NPQTL was also significantly associated with morphotype (R(2) = 0.52) and major QTL with positive effect alleles were present in the fiber type accessions. The 67 large effect QTL are suited for marker-assisted selection and the 500 QTL for effective genomic prediction in PR molecular breeding. |
format | Online Article Text |
id | pubmed-6339956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63399562019-01-28 Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) He, Liqiang Xiao, Jin Rashid, Khalid Y. Yao, Zhen Li, Pingchuan Jia, Gaofeng Wang, Xiue Cloutier, Sylvie You, Frank M. Front Plant Sci Plant Science Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of pasmo severity was performed in the field from 2012 to 2016 in Morden, MB, Canada. Genotyping-by-sequencing has identified 258,873 single nucleotide polymorphisms (SNPs) distributed on all 15 flax chromosomes. Marker-trait associations were identified using ten different statistical models. A total of 692 unique quantitative trait nucleotides (QTNs) associated with 500 putative quantitative trait loci (QTL) were detected from six phenotypic PR datasets (five individual years and average across years). Different QTNs were identified with various statistical models and from individual PR datasets, indicative of the complementation between analytical methods and/or genotype × environment interactions of the QTL effects. The single-locus models tended to identify large-effect QTNs while the multi-loci models were able to detect QTNs with smaller effects. Among the putative QTL, 67 had large effects (3–23%), were stable across all datasets and explained 32–64% of the total variation for PR in the various datasets. Forty-five of these QTL spanned 85 resistance gene analogs including a large toll interleukin receptor, nucleotide-binding site, leucine-rich repeat (TNL) type gene cluster on chromosome 8. The number of QTL with positive-effect or favorite alleles (NPQTL) in accessions was significantly correlated with PR (R(2) = 0.55), suggesting that these QTL effects are mainly additive. NPQTL was also significantly associated with morphotype (R(2) = 0.52) and major QTL with positive effect alleles were present in the fiber type accessions. The 67 large effect QTL are suited for marker-assisted selection and the 500 QTL for effective genomic prediction in PR molecular breeding. Frontiers Media S.A. 2019-01-14 /pmc/articles/PMC6339956/ /pubmed/30693010 http://dx.doi.org/10.3389/fpls.2018.01982 Text en Copyright © 2019 He, Xiao, Rashid, Yao, Li, Jia, Wang, Cloutier and You. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science He, Liqiang Xiao, Jin Rashid, Khalid Y. Yao, Zhen Li, Pingchuan Jia, Gaofeng Wang, Xiue Cloutier, Sylvie You, Frank M. Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title | Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title_full | Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title_fullStr | Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title_full_unstemmed | Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title_short | Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.) |
title_sort | genome-wide association studies for pasmo resistance in flax (linum usitatissimum l.) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339956/ https://www.ncbi.nlm.nih.gov/pubmed/30693010 http://dx.doi.org/10.3389/fpls.2018.01982 |
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