Cargando…

Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS

Understanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as ada...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jing, Chen, Guo‐Bo, Rasheed, Awais, Li, Delin, Sonder, Kai, Zavala Espinosa, Cristian, Wang, Jiankang, Costich, Denise E., Schnable, Patrick S., Hearne, Sarah J., Li, Huihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851670/
https://www.ncbi.nlm.nih.gov/pubmed/31287919
http://dx.doi.org/10.1111/mec.15169
_version_ 1783469663700647936
author Li, Jing
Chen, Guo‐Bo
Rasheed, Awais
Li, Delin
Sonder, Kai
Zavala Espinosa, Cristian
Wang, Jiankang
Costich, Denise E.
Schnable, Patrick S.
Hearne, Sarah J.
Li, Huihui
author_facet Li, Jing
Chen, Guo‐Bo
Rasheed, Awais
Li, Delin
Sonder, Kai
Zavala Espinosa, Cristian
Wang, Jiankang
Costich, Denise E.
Schnable, Patrick S.
Hearne, Sarah J.
Li, Huihui
author_sort Li, Jing
collection PubMed
description Understanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as adaptation often coincided with genetic drift, and the base genomic diversity of the species in massive. In this study, tGBS technology was used to genotype 1,143 diverse maize accessions including landraces collected from 20 countries and elite breeding lines of tropical lowland, highland, subtropical/midaltitude and temperate ecological zones. Based on 355,442 high‐quality single nucleotide polymorphisms, 13 genomic regions were detected as being under selection using the bottom‐up searching strategy, EigenGWAS. Of the 13 selection regions, 10 were first reported, two were associated with environmental parameters via EnvGWAS, and 146 genes were enriched. Combining large‐scale genomic and ecological data in this diverse maize panel, our study supports a polygenic adaptation model of maize and offers a framework to enhance our understanding of both the mechanistic basis and the evolutionary consequences of maize domestication and adaptation. The regions identified here are promising candidates for further, targeted exploration to identify beneficial alleles and haplotypes for deployment in maize breeding.
format Online
Article
Text
id pubmed-6851670
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-68516702019-11-18 Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS Li, Jing Chen, Guo‐Bo Rasheed, Awais Li, Delin Sonder, Kai Zavala Espinosa, Cristian Wang, Jiankang Costich, Denise E. Schnable, Patrick S. Hearne, Sarah J. Li, Huihui Mol Ecol ORIGINAL ARTICLES Understanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as adaptation often coincided with genetic drift, and the base genomic diversity of the species in massive. In this study, tGBS technology was used to genotype 1,143 diverse maize accessions including landraces collected from 20 countries and elite breeding lines of tropical lowland, highland, subtropical/midaltitude and temperate ecological zones. Based on 355,442 high‐quality single nucleotide polymorphisms, 13 genomic regions were detected as being under selection using the bottom‐up searching strategy, EigenGWAS. Of the 13 selection regions, 10 were first reported, two were associated with environmental parameters via EnvGWAS, and 146 genes were enriched. Combining large‐scale genomic and ecological data in this diverse maize panel, our study supports a polygenic adaptation model of maize and offers a framework to enhance our understanding of both the mechanistic basis and the evolutionary consequences of maize domestication and adaptation. The regions identified here are promising candidates for further, targeted exploration to identify beneficial alleles and haplotypes for deployment in maize breeding. John Wiley and Sons Inc. 2019-08-18 2019-08 /pmc/articles/PMC6851670/ /pubmed/31287919 http://dx.doi.org/10.1111/mec.15169 Text en © 2019 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle ORIGINAL ARTICLES
Li, Jing
Chen, Guo‐Bo
Rasheed, Awais
Li, Delin
Sonder, Kai
Zavala Espinosa, Cristian
Wang, Jiankang
Costich, Denise E.
Schnable, Patrick S.
Hearne, Sarah J.
Li, Huihui
Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title_full Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title_fullStr Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title_full_unstemmed Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title_short Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS
title_sort identifying loci with breeding potential across temperate and tropical adaptation via eigengwas and envgwas
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851670/
https://www.ncbi.nlm.nih.gov/pubmed/31287919
http://dx.doi.org/10.1111/mec.15169
work_keys_str_mv AT lijing identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT chenguobo identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT rasheedawais identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT lidelin identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT sonderkai identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT zavalaespinosacristian identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT wangjiankang identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT costichdenisee identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT schnablepatricks identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT hearnesarahj identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas
AT lihuihui identifyinglociwithbreedingpotentialacrosstemperateandtropicaladaptationviaeigengwasandenvgwas