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Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
BACKGROUND: China has diverse wheat varieties that adapt to very different environments divided into ten agro-ecological zones. A better understanding of genomic differences and patterns of selection among agro-ecological zones could provide useful information in selection of specific adaptive trait...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590805/ https://www.ncbi.nlm.nih.gov/pubmed/33109100 http://dx.doi.org/10.1186/s12870-020-02704-w |
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author | Guo, Jie Li, Chang Zhao, Junjie Guo, Jiahui Shi, Weiping Cheng, Shunhe Zhou, Meixue Hao, Chenyang |
author_facet | Guo, Jie Li, Chang Zhao, Junjie Guo, Jiahui Shi, Weiping Cheng, Shunhe Zhou, Meixue Hao, Chenyang |
author_sort | Guo, Jie |
collection | PubMed |
description | BACKGROUND: China has diverse wheat varieties that adapt to very different environments divided into ten agro-ecological zones. A better understanding of genomic differences and patterns of selection among agro-ecological zones could provide useful information in selection of specific adaptive traits in breeding. RESULTS: We genotyped 438 wheat accessions from ten zones with kompetitive allele specific PCR (KASP) markers specific to 47 cloned genes for grain yield, quality, adaptation and stress resistance. Phylogenetic trees and principle component analysis revealed clear differences in winter and spring growth habits. Nucleotide diversity (π) and π ratio (π(CL)/π(MCC)) suggested that genetic diversity had increased during breeding, and that Chinese landraces (CL) from Zones I-V contributed little to modern Chinese cultivars (MCC). π ratio and Fst identified 24 KASP markers with 53 strong selection signals specific to Zones I (9 signals), II (12), III (5), IV (5), V (6), and VI (6). Genes with clear genetic differentiation and strong response to selection in at least three zones were leaf rust resistance gene Lr34 (I, II, III and IV), photoperiod sensitivity gene Ppd-D1 (I, II, III, IV and V), vernalization gene Vrn-B1 (V, VII, VIII and X), quality-related gene Glu-B1 (I, II and III) and yield-related genes Sus1-7B (I, II, III, IV and IX), Sus2-2A (I, II, III., IV and VI) and GW2-6B (II, V and VI). CONCLUSIONS: This study examined selection of multiple genes in each zone, traced the distribution of important genetic variations and provided useful information for ecological genomics and enlightening future breeding goals for different agro-ecological zones. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12870-020-02704-w. |
format | Online Article Text |
id | pubmed-7590805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75908052020-10-27 Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation Guo, Jie Li, Chang Zhao, Junjie Guo, Jiahui Shi, Weiping Cheng, Shunhe Zhou, Meixue Hao, Chenyang BMC Plant Biol Research Article BACKGROUND: China has diverse wheat varieties that adapt to very different environments divided into ten agro-ecological zones. A better understanding of genomic differences and patterns of selection among agro-ecological zones could provide useful information in selection of specific adaptive traits in breeding. RESULTS: We genotyped 438 wheat accessions from ten zones with kompetitive allele specific PCR (KASP) markers specific to 47 cloned genes for grain yield, quality, adaptation and stress resistance. Phylogenetic trees and principle component analysis revealed clear differences in winter and spring growth habits. Nucleotide diversity (π) and π ratio (π(CL)/π(MCC)) suggested that genetic diversity had increased during breeding, and that Chinese landraces (CL) from Zones I-V contributed little to modern Chinese cultivars (MCC). π ratio and Fst identified 24 KASP markers with 53 strong selection signals specific to Zones I (9 signals), II (12), III (5), IV (5), V (6), and VI (6). Genes with clear genetic differentiation and strong response to selection in at least three zones were leaf rust resistance gene Lr34 (I, II, III and IV), photoperiod sensitivity gene Ppd-D1 (I, II, III, IV and V), vernalization gene Vrn-B1 (V, VII, VIII and X), quality-related gene Glu-B1 (I, II and III) and yield-related genes Sus1-7B (I, II, III, IV and IX), Sus2-2A (I, II, III., IV and VI) and GW2-6B (II, V and VI). CONCLUSIONS: This study examined selection of multiple genes in each zone, traced the distribution of important genetic variations and provided useful information for ecological genomics and enlightening future breeding goals for different agro-ecological zones. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12870-020-02704-w. BioMed Central 2020-10-27 /pmc/articles/PMC7590805/ /pubmed/33109100 http://dx.doi.org/10.1186/s12870-020-02704-w 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 Guo, Jie Li, Chang Zhao, Junjie Guo, Jiahui Shi, Weiping Cheng, Shunhe Zhou, Meixue Hao, Chenyang Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title | Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title_full | Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title_fullStr | Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title_full_unstemmed | Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title_short | Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation |
title_sort | ecological genomics of chinese wheat improvement: implications in breeding for adaptation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590805/ https://www.ncbi.nlm.nih.gov/pubmed/33109100 http://dx.doi.org/10.1186/s12870-020-02704-w |
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