Cargando…

Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars

BACKGROUND: Ecological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important. RESULTS: A structure...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jian, Zhou, Yanjie, Hu, Weiguo, Zhang, Yu’e, Zhou, Yong, Chen, Yongxing, Wang, Xicheng, Zhao, Hong, Cao, Tingjie, Liu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552505/
https://www.ncbi.nlm.nih.gov/pubmed/33046012
http://dx.doi.org/10.1186/s12870-020-02674-z
_version_ 1783593414099468288
author Yang, Jian
Zhou, Yanjie
Hu, Weiguo
Zhang, Yu’e
Zhou, Yong
Chen, Yongxing
Wang, Xicheng
Zhao, Hong
Cao, Tingjie
Liu, Zhiyong
author_facet Yang, Jian
Zhou, Yanjie
Hu, Weiguo
Zhang, Yu’e
Zhou, Yong
Chen, Yongxing
Wang, Xicheng
Zhao, Hong
Cao, Tingjie
Liu, Zhiyong
author_sort Yang, Jian
collection PubMed
description BACKGROUND: Ecological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important. RESULTS: A structured panel of 96 elite wheat cultivars grown in the High-yield zone of Henan province in China was genotyped using an Illumina iSelect 90 K SNP assay. Selection pressure derived from ecological environments of mountain front and plain region provided the initial impetus for population divergence. This determined the dominant traits in two subpopulations (spike number and spike percentage were dominance in subpopulation 2:1; thousand-kernel weight, grain filling rate (GFR), maturity date (MD), and fertility period (FP) were dominance in subpopulation 2:2), which was also consistent with their inheritance from the donor parents. Genome wide association studies identified 107 significant SNPs for 12 yield-related traits and 10 regions were pleiotropic to multiple traits. Especially, GY was co-located with MD/FP, GFR and HD at QTL-ple5A, QTL-ple7A.1 and QTL-ple7B.1 region. Further selective sweep analysis revealled that regions under selection were around QTLs for these traits. Especially, grain yield (GY) is positively correlated with MD/FP and they were co-located at the VRN-1A locus. Besides, a selective sweep signal was detected at VRN-1B locus which was only significance to MD/FP. CONCLUSIONS: The results indicated that extensive differential in allele frequency driven by ecological selection has shaped plant architecture and growing season during yield improvement. The QTLs for yield and yield components detected in this study probably be selectively applied in molecular breeding.
format Online
Article
Text
id pubmed-7552505
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75525052020-10-13 Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars Yang, Jian Zhou, Yanjie Hu, Weiguo Zhang, Yu’e Zhou, Yong Chen, Yongxing Wang, Xicheng Zhao, Hong Cao, Tingjie Liu, Zhiyong BMC Plant Biol Research Article BACKGROUND: Ecological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important. RESULTS: A structured panel of 96 elite wheat cultivars grown in the High-yield zone of Henan province in China was genotyped using an Illumina iSelect 90 K SNP assay. Selection pressure derived from ecological environments of mountain front and plain region provided the initial impetus for population divergence. This determined the dominant traits in two subpopulations (spike number and spike percentage were dominance in subpopulation 2:1; thousand-kernel weight, grain filling rate (GFR), maturity date (MD), and fertility period (FP) were dominance in subpopulation 2:2), which was also consistent with their inheritance from the donor parents. Genome wide association studies identified 107 significant SNPs for 12 yield-related traits and 10 regions were pleiotropic to multiple traits. Especially, GY was co-located with MD/FP, GFR and HD at QTL-ple5A, QTL-ple7A.1 and QTL-ple7B.1 region. Further selective sweep analysis revealled that regions under selection were around QTLs for these traits. Especially, grain yield (GY) is positively correlated with MD/FP and they were co-located at the VRN-1A locus. Besides, a selective sweep signal was detected at VRN-1B locus which was only significance to MD/FP. CONCLUSIONS: The results indicated that extensive differential in allele frequency driven by ecological selection has shaped plant architecture and growing season during yield improvement. The QTLs for yield and yield components detected in this study probably be selectively applied in molecular breeding. BioMed Central 2020-10-12 /pmc/articles/PMC7552505/ /pubmed/33046012 http://dx.doi.org/10.1186/s12870-020-02674-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yang, Jian
Zhou, Yanjie
Hu, Weiguo
Zhang, Yu’e
Zhou, Yong
Chen, Yongxing
Wang, Xicheng
Zhao, Hong
Cao, Tingjie
Liu, Zhiyong
Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title_full Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title_fullStr Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title_full_unstemmed Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title_short Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars
title_sort unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in henan wheat cultivars
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552505/
https://www.ncbi.nlm.nih.gov/pubmed/33046012
http://dx.doi.org/10.1186/s12870-020-02674-z
work_keys_str_mv AT yangjian unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT zhouyanjie unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT huweiguo unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT zhangyue unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT zhouyong unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT chenyongxing unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT wangxicheng unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT zhaohong unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT caotingjie unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars
AT liuzhiyong unlockingtherelationshipsamongpopulationstructureplantarchitecturegrowingseasonandenvironmentaladaptationinhenanwheatcultivars