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Identification of genomic regions for grain yield and yield stability and their epistatic interactions
The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286416/ https://www.ncbi.nlm.nih.gov/pubmed/28145508 http://dx.doi.org/10.1038/srep41578 |
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author | Sehgal, Deepmala Autrique, Enrique Singh, Ravi Ellis, Marc Singh, Sukhwinder Dreisigacker, Susanne |
author_facet | Sehgal, Deepmala Autrique, Enrique Singh, Ravi Ellis, Marc Singh, Sukhwinder Dreisigacker, Susanne |
author_sort | Sehgal, Deepmala |
collection | PubMed |
description | The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination. |
format | Online Article Text |
id | pubmed-5286416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52864162017-02-06 Identification of genomic regions for grain yield and yield stability and their epistatic interactions Sehgal, Deepmala Autrique, Enrique Singh, Ravi Ellis, Marc Singh, Sukhwinder Dreisigacker, Susanne Sci Rep Article The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination. Nature Publishing Group 2017-02-01 /pmc/articles/PMC5286416/ /pubmed/28145508 http://dx.doi.org/10.1038/srep41578 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Sehgal, Deepmala Autrique, Enrique Singh, Ravi Ellis, Marc Singh, Sukhwinder Dreisigacker, Susanne Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title | Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title_full | Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title_fullStr | Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title_full_unstemmed | Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title_short | Identification of genomic regions for grain yield and yield stability and their epistatic interactions |
title_sort | identification of genomic regions for grain yield and yield stability and their epistatic interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286416/ https://www.ncbi.nlm.nih.gov/pubmed/28145508 http://dx.doi.org/10.1038/srep41578 |
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