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Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss

Indian mustard (Brassica juncea) is a major source of vegetable oil in the Indian subcontinent. The seed cake left after the oil extraction is used as livestock feed. We examined the genetic architecture of oil, protein, and glucosinolates by conducting a genome-wide association study (GWAS), using...

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Autores principales: Akhatar, Javed, Singh, Mohini Prabha, Sharma, Anju, Kaur, Harjeevan, Kaur, Navneet, Sharma, Sanjula, Bharti, Baudh, Sardana, V. K., Banga, Surinder S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490339/
https://www.ncbi.nlm.nih.gov/pubmed/33088279
http://dx.doi.org/10.3389/fgene.2020.00744
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author Akhatar, Javed
Singh, Mohini Prabha
Sharma, Anju
Kaur, Harjeevan
Kaur, Navneet
Sharma, Sanjula
Bharti, Baudh
Sardana, V. K.
Banga, Surinder S.
author_facet Akhatar, Javed
Singh, Mohini Prabha
Sharma, Anju
Kaur, Harjeevan
Kaur, Navneet
Sharma, Sanjula
Bharti, Baudh
Sardana, V. K.
Banga, Surinder S.
author_sort Akhatar, Javed
collection PubMed
description Indian mustard (Brassica juncea) is a major source of vegetable oil in the Indian subcontinent. The seed cake left after the oil extraction is used as livestock feed. We examined the genetic architecture of oil, protein, and glucosinolates by conducting a genome-wide association study (GWAS), using an association panel comprising 92 diverse genotypes. We conducted trait phenotyping over 2 years at two levels of nitrogen (N) application. Genotyping by sequencing was used to identify 66,835 loci, covering 18 chromosomes. Genetic diversity and phenotypic variations were high for the studied traits. Trait performances were stable when averaged over years and N levels. However, individual performances differed. General and mixed linear models were used to estimate the association between the SNP markers and the seed quality traits. Population structure, principal components (PCs) analysis, and discriminant analysis of principal components (DAPCs) were included as covariates to overcome the bias due to the population stratification. We identified 16, 23, and 27 loci associated with oil, protein, and glucosinolates, respectively. We also established LD patterns and haplotype structures for the candidate genes. The average block sizes were larger on A-genome chromosomes as compared to the B- genome chromosomes. Genetic associations differed over N levels. However, meta-analysis of GWAS datasets not only improved the power to recognize associations but also helped to identify common SNPs for oil and protein contents. Annotation of the genomic region around the identified SNPs led to the prediction of 21 orthologs of the functional candidate genes related to the biosynthesis of oil, protein, and glucosinolates. Notable among these are: LACS5 (A09), FAD6 (B05), ASN1 (A06), GTR2 (A06), CYP81G1 (B06), and MYB44 (B06). The identified loci will be very useful for marker-aided breeding for seed quality modifications in B. juncea.
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spelling pubmed-74903392020-10-20 Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss Akhatar, Javed Singh, Mohini Prabha Sharma, Anju Kaur, Harjeevan Kaur, Navneet Sharma, Sanjula Bharti, Baudh Sardana, V. K. Banga, Surinder S. Front Genet Genetics Indian mustard (Brassica juncea) is a major source of vegetable oil in the Indian subcontinent. The seed cake left after the oil extraction is used as livestock feed. We examined the genetic architecture of oil, protein, and glucosinolates by conducting a genome-wide association study (GWAS), using an association panel comprising 92 diverse genotypes. We conducted trait phenotyping over 2 years at two levels of nitrogen (N) application. Genotyping by sequencing was used to identify 66,835 loci, covering 18 chromosomes. Genetic diversity and phenotypic variations were high for the studied traits. Trait performances were stable when averaged over years and N levels. However, individual performances differed. General and mixed linear models were used to estimate the association between the SNP markers and the seed quality traits. Population structure, principal components (PCs) analysis, and discriminant analysis of principal components (DAPCs) were included as covariates to overcome the bias due to the population stratification. We identified 16, 23, and 27 loci associated with oil, protein, and glucosinolates, respectively. We also established LD patterns and haplotype structures for the candidate genes. The average block sizes were larger on A-genome chromosomes as compared to the B- genome chromosomes. Genetic associations differed over N levels. However, meta-analysis of GWAS datasets not only improved the power to recognize associations but also helped to identify common SNPs for oil and protein contents. Annotation of the genomic region around the identified SNPs led to the prediction of 21 orthologs of the functional candidate genes related to the biosynthesis of oil, protein, and glucosinolates. Notable among these are: LACS5 (A09), FAD6 (B05), ASN1 (A06), GTR2 (A06), CYP81G1 (B06), and MYB44 (B06). The identified loci will be very useful for marker-aided breeding for seed quality modifications in B. juncea. Frontiers Media S.A. 2020-09-01 /pmc/articles/PMC7490339/ /pubmed/33088279 http://dx.doi.org/10.3389/fgene.2020.00744 Text en Copyright © 2020 Akhatar, Singh, Sharma, Kaur, Kaur, Sharma, Bharti, Sardana and Banga. 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 Genetics
Akhatar, Javed
Singh, Mohini Prabha
Sharma, Anju
Kaur, Harjeevan
Kaur, Navneet
Sharma, Sanjula
Bharti, Baudh
Sardana, V. K.
Banga, Surinder S.
Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title_full Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title_fullStr Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title_full_unstemmed Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title_short Association Mapping of Seed Quality Traits Under Varying Conditions of Nitrogen Application in Brassica juncea L. Czern & Coss
title_sort association mapping of seed quality traits under varying conditions of nitrogen application in brassica juncea l. czern & coss
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490339/
https://www.ncbi.nlm.nih.gov/pubmed/33088279
http://dx.doi.org/10.3389/fgene.2020.00744
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