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Identifying favorable alleles for improving key agronomic traits in upland cotton

BACKGROUND: Gossypium hirsutum L. is grown worldwide and is the largest source of natural fiber crop. We focus on exploring the favorable alleles (FAs) for upland cotton varieties improvement, and further understanding the history of accessions selection and acumination of favorable allele during br...

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Autores principales: Dai, Panhong, Miao, Yuchen, He, Shoupu, Pan, Zhaoe, Jia, Yinhua, Cai, Yingfan, Sun, Junling, Wang, Liru, Pang, Baoyin, Wang, Mi, Du, Xiongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458685/
https://www.ncbi.nlm.nih.gov/pubmed/30975072
http://dx.doi.org/10.1186/s12870-019-1725-y
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author Dai, Panhong
Miao, Yuchen
He, Shoupu
Pan, Zhaoe
Jia, Yinhua
Cai, Yingfan
Sun, Junling
Wang, Liru
Pang, Baoyin
Wang, Mi
Du, Xiongming
author_facet Dai, Panhong
Miao, Yuchen
He, Shoupu
Pan, Zhaoe
Jia, Yinhua
Cai, Yingfan
Sun, Junling
Wang, Liru
Pang, Baoyin
Wang, Mi
Du, Xiongming
author_sort Dai, Panhong
collection PubMed
description BACKGROUND: Gossypium hirsutum L. is grown worldwide and is the largest source of natural fiber crop. We focus on exploring the favorable alleles (FAs) for upland cotton varieties improvement, and further understanding the history of accessions selection and acumination of favorable allele during breeding. RESULTS: The genetic basis of phenotypic variation has been studied. But the accumulation of favorable alleles in cotton breeding history in unknown, and potential favorable alleles to enhance key agronomic traits in the future cotton varieties have not yet been identified. Therefore, 419 upland cotton accessions were screened, representing a diversity of phenotypic variations of 7362 G. hirsutum, and 15 major traits were investigated in 6 environments. These accessions were categorized into 3 periods (early, medium, and modern) according to breeding history. All accessions were divided into two major groups using 299 polymorphic microsatellite markers: G1 (high fiber yield and quality, late maturity) and G2 (low fiber yield and quality, early maturity). The proportion of G1 genotype gradually increased from early to modern breeding periods. Furthermore, 21 markers (71 alleles) were significantly associated (−log P > 4) with 15 agronomic traits in multiple environments. Seventeen alleles were identified as FAs; these alleles accumulated more in the modern period than in other periods, consistent with their phenotypic variation trends in breeding history. Our results demonstrate that the favorable alleles accumulated through breeding effects, especially for common favorable alleles. However, the potential elite accessions could be rapidly screened by rare favorable alleles. CONCLUSION: In our study, genetic variation and genome-wide associations for 419 upland cotton accessions were analyzed. Two favorable allele types were identified during three breeding periods, providing important information for yield/quality improvement of upland cotton germplasm. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1725-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-64586852019-04-19 Identifying favorable alleles for improving key agronomic traits in upland cotton Dai, Panhong Miao, Yuchen He, Shoupu Pan, Zhaoe Jia, Yinhua Cai, Yingfan Sun, Junling Wang, Liru Pang, Baoyin Wang, Mi Du, Xiongming BMC Plant Biol Research Article BACKGROUND: Gossypium hirsutum L. is grown worldwide and is the largest source of natural fiber crop. We focus on exploring the favorable alleles (FAs) for upland cotton varieties improvement, and further understanding the history of accessions selection and acumination of favorable allele during breeding. RESULTS: The genetic basis of phenotypic variation has been studied. But the accumulation of favorable alleles in cotton breeding history in unknown, and potential favorable alleles to enhance key agronomic traits in the future cotton varieties have not yet been identified. Therefore, 419 upland cotton accessions were screened, representing a diversity of phenotypic variations of 7362 G. hirsutum, and 15 major traits were investigated in 6 environments. These accessions were categorized into 3 periods (early, medium, and modern) according to breeding history. All accessions were divided into two major groups using 299 polymorphic microsatellite markers: G1 (high fiber yield and quality, late maturity) and G2 (low fiber yield and quality, early maturity). The proportion of G1 genotype gradually increased from early to modern breeding periods. Furthermore, 21 markers (71 alleles) were significantly associated (−log P > 4) with 15 agronomic traits in multiple environments. Seventeen alleles were identified as FAs; these alleles accumulated more in the modern period than in other periods, consistent with their phenotypic variation trends in breeding history. Our results demonstrate that the favorable alleles accumulated through breeding effects, especially for common favorable alleles. However, the potential elite accessions could be rapidly screened by rare favorable alleles. CONCLUSION: In our study, genetic variation and genome-wide associations for 419 upland cotton accessions were analyzed. Two favorable allele types were identified during three breeding periods, providing important information for yield/quality improvement of upland cotton germplasm. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1725-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-11 /pmc/articles/PMC6458685/ /pubmed/30975072 http://dx.doi.org/10.1186/s12870-019-1725-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Dai, Panhong
Miao, Yuchen
He, Shoupu
Pan, Zhaoe
Jia, Yinhua
Cai, Yingfan
Sun, Junling
Wang, Liru
Pang, Baoyin
Wang, Mi
Du, Xiongming
Identifying favorable alleles for improving key agronomic traits in upland cotton
title Identifying favorable alleles for improving key agronomic traits in upland cotton
title_full Identifying favorable alleles for improving key agronomic traits in upland cotton
title_fullStr Identifying favorable alleles for improving key agronomic traits in upland cotton
title_full_unstemmed Identifying favorable alleles for improving key agronomic traits in upland cotton
title_short Identifying favorable alleles for improving key agronomic traits in upland cotton
title_sort identifying favorable alleles for improving key agronomic traits in upland cotton
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458685/
https://www.ncbi.nlm.nih.gov/pubmed/30975072
http://dx.doi.org/10.1186/s12870-019-1725-y
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