Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)

Oat (Avena sativa L.) has a high concentration of oils, comprised primarily of healthful unsaturated oleic and linoleic fatty acids. To accelerate oat plant breeding efforts, we sought to identify loci associated with variation in fatty acid composition, defined as the types and quantities of fatty acids. We genotyped a panel of 500 oat cultivars with genotyping-by-sequencing and measured the concentrations of ten fatty acids in these oat cultivars grown in two environments. Measurements of individual fatty acids were highly correlated across samples, consistent with fatty acids participating in shared biosynthetic pathways. We leveraged these phenotypic correlations in two multivariate genome-wide association study (GWAS) approaches. In the first analysis, we fitted a multivariate linear mixed model for all ten fatty acids simultaneously while accounting for population structure and relatedness among cultivars. In the second, we performed a univariate association test for each principal component (PC) derived from a singular value decomposition of the phenotypic data matrix. To aid interpretation of results from the multivariate analyses, we also conducted univariate association tests for each trait. The multivariate mixed model approach yielded 148 genome-wide significant single-nucleotide polymorphisms (SNPs) at a 10% false-discovery rate, compared to 129 and 73 significant SNPs in the PC and univariate analyses, respectively. Thus, explicit modeling of the correlation structure between fatty acids in a multivariate framework enabled identification of loci associated with variation in seed fatty acid concentration that were not detected in the univariate analyses. Ultimately, a detailed characterization of the loci underlying fatty acid variation can be used to enhance the nutritional profile of oats through breeding.

Saved in:
Bibliographic Details
Main Authors: Carlson, Maryn O., Montilla-Bascón, Gracia, Hoekenga, Owen A., Tinker, Nicholas A., Poland, Jesse, Baseggio, Matheus, Sorrells, Mark E., Jannink, Jean-Luc, Gore, Michael A., Yeats, Trevor A.
Other Authors: Pepsico
Format: artículo biblioteca
Language:English
Published: Genetics Society of America 2019-09
Subjects:Fatty acid methyl ester, GWAS, Multivariate GWAS, Oat,
Online Access:http://hdl.handle.net/10261/207397
http://dx.doi.org/10.13039/100004396
http://dx.doi.org/10.13039/100005825
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-ias-es-10261-207397
record_format koha
spelling dig-ias-es-10261-2073972021-12-28T16:25:53Z Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.) Carlson, Maryn O. Montilla-Bascón, Gracia Hoekenga, Owen A. Tinker, Nicholas A. Poland, Jesse Baseggio, Matheus Sorrells, Mark E. Jannink, Jean-Luc Gore, Michael A. Yeats, Trevor A. Pepsico National Institute of Food and Agriculture (US) Fatty acid methyl ester GWAS Multivariate GWAS Oat Oat (Avena sativa L.) has a high concentration of oils, comprised primarily of healthful unsaturated oleic and linoleic fatty acids. To accelerate oat plant breeding efforts, we sought to identify loci associated with variation in fatty acid composition, defined as the types and quantities of fatty acids. We genotyped a panel of 500 oat cultivars with genotyping-by-sequencing and measured the concentrations of ten fatty acids in these oat cultivars grown in two environments. Measurements of individual fatty acids were highly correlated across samples, consistent with fatty acids participating in shared biosynthetic pathways. We leveraged these phenotypic correlations in two multivariate genome-wide association study (GWAS) approaches. In the first analysis, we fitted a multivariate linear mixed model for all ten fatty acids simultaneously while accounting for population structure and relatedness among cultivars. In the second, we performed a univariate association test for each principal component (PC) derived from a singular value decomposition of the phenotypic data matrix. To aid interpretation of results from the multivariate analyses, we also conducted univariate association tests for each trait. The multivariate mixed model approach yielded 148 genome-wide significant single-nucleotide polymorphisms (SNPs) at a 10% false-discovery rate, compared to 129 and 73 significant SNPs in the PC and univariate analyses, respectively. Thus, explicit modeling of the correlation structure between fatty acids in a multivariate framework enabled identification of loci associated with variation in seed fatty acid concentration that were not detected in the univariate analyses. Ultimately, a detailed characterization of the loci underlying fatty acid variation can be used to enhance the nutritional profile of oats through breeding. This research was supported by PepsiCo Global R&D, the USDA–ARS, USDA-NIFA-AFRI 2011-68002-30029 (Triticeae-CAP), USDA-NIFA-AFRI 2017-67007-25939 (Wheat-CAP), USDA-NIFA-AFRI 2017-67007-26502, and Hatch Project 149-447. Peer reviewed 2020-04-14T07:39:13Z 2020-04-14T07:39:13Z 2019-09 artículo http://purl.org/coar/resource_type/c_6501 G3 9(9): 2963-2975 (2019) http://hdl.handle.net/10261/207397 10.1534/g3.119.400228 2160-1836 http://dx.doi.org/10.13039/100004396 http://dx.doi.org/10.13039/100005825 31296616 en Publisher's version https://doi.org/10.1534/g3.119.400228 Sí open Genetics Society of America
institution IAS ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ias-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IAS España
language English
topic Fatty acid methyl ester
GWAS
Multivariate GWAS
Oat
Fatty acid methyl ester
GWAS
Multivariate GWAS
Oat
spellingShingle Fatty acid methyl ester
GWAS
Multivariate GWAS
Oat
Fatty acid methyl ester
GWAS
Multivariate GWAS
Oat
Carlson, Maryn O.
Montilla-Bascón, Gracia
Hoekenga, Owen A.
Tinker, Nicholas A.
Poland, Jesse
Baseggio, Matheus
Sorrells, Mark E.
Jannink, Jean-Luc
Gore, Michael A.
Yeats, Trevor A.
Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
description Oat (Avena sativa L.) has a high concentration of oils, comprised primarily of healthful unsaturated oleic and linoleic fatty acids. To accelerate oat plant breeding efforts, we sought to identify loci associated with variation in fatty acid composition, defined as the types and quantities of fatty acids. We genotyped a panel of 500 oat cultivars with genotyping-by-sequencing and measured the concentrations of ten fatty acids in these oat cultivars grown in two environments. Measurements of individual fatty acids were highly correlated across samples, consistent with fatty acids participating in shared biosynthetic pathways. We leveraged these phenotypic correlations in two multivariate genome-wide association study (GWAS) approaches. In the first analysis, we fitted a multivariate linear mixed model for all ten fatty acids simultaneously while accounting for population structure and relatedness among cultivars. In the second, we performed a univariate association test for each principal component (PC) derived from a singular value decomposition of the phenotypic data matrix. To aid interpretation of results from the multivariate analyses, we also conducted univariate association tests for each trait. The multivariate mixed model approach yielded 148 genome-wide significant single-nucleotide polymorphisms (SNPs) at a 10% false-discovery rate, compared to 129 and 73 significant SNPs in the PC and univariate analyses, respectively. Thus, explicit modeling of the correlation structure between fatty acids in a multivariate framework enabled identification of loci associated with variation in seed fatty acid concentration that were not detected in the univariate analyses. Ultimately, a detailed characterization of the loci underlying fatty acid variation can be used to enhance the nutritional profile of oats through breeding.
author2 Pepsico
author_facet Pepsico
Carlson, Maryn O.
Montilla-Bascón, Gracia
Hoekenga, Owen A.
Tinker, Nicholas A.
Poland, Jesse
Baseggio, Matheus
Sorrells, Mark E.
Jannink, Jean-Luc
Gore, Michael A.
Yeats, Trevor A.
format artículo
topic_facet Fatty acid methyl ester
GWAS
Multivariate GWAS
Oat
author Carlson, Maryn O.
Montilla-Bascón, Gracia
Hoekenga, Owen A.
Tinker, Nicholas A.
Poland, Jesse
Baseggio, Matheus
Sorrells, Mark E.
Jannink, Jean-Luc
Gore, Michael A.
Yeats, Trevor A.
author_sort Carlson, Maryn O.
title Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
title_short Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
title_full Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
title_fullStr Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
title_full_unstemmed Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)
title_sort multivariate genome-wide association analyses reveal the genetic basis of seed fatty acid composition in oat (avena sativa l.)
publisher Genetics Society of America
publishDate 2019-09
url http://hdl.handle.net/10261/207397
http://dx.doi.org/10.13039/100004396
http://dx.doi.org/10.13039/100005825
work_keys_str_mv AT carlsonmaryno multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT montillabascongracia multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT hoekengaowena multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT tinkernicholasa multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT polandjesse multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT baseggiomatheus multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT sorrellsmarke multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT janninkjeanluc multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT goremichaela multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
AT yeatstrevora multivariategenomewideassociationanalysesrevealthegeneticbasisofseedfattyacidcompositioninoatavenasatival
_version_ 1777663257296764928