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Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits

INTRODUCTION: The simultaneous improvement of fiber quality and yield for cotton is strongly limited by the narrow genetic backgrounds of Gossypium hirsutum (Gh) and the negative genetic correlations among traits. An effective way to overcome the bottlenecks is to introgress the favorable alleles of...

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Autores principales: Li, Shaoqi, Kong, Linglei, Xiao, Xianghui, Li, Pengtao, Liu, Aiying, Li, Junwen, Gong, Juwu, Gong, Wankui, Ge, Qun, Shang, Haihong, Pan, Jingtao, Chen, Hong, Peng, Yan, Zhang, Yuanming, Lu, Quanwei, Shi, Yuzhen, Yuan, Youlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658236/
https://www.ncbi.nlm.nih.gov/pubmed/36460274
http://dx.doi.org/10.1016/j.jare.2022.11.009
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author Li, Shaoqi
Kong, Linglei
Xiao, Xianghui
Li, Pengtao
Liu, Aiying
Li, Junwen
Gong, Juwu
Gong, Wankui
Ge, Qun
Shang, Haihong
Pan, Jingtao
Chen, Hong
Peng, Yan
Zhang, Yuanming
Lu, Quanwei
Shi, Yuzhen
Yuan, Youlu
author_facet Li, Shaoqi
Kong, Linglei
Xiao, Xianghui
Li, Pengtao
Liu, Aiying
Li, Junwen
Gong, Juwu
Gong, Wankui
Ge, Qun
Shang, Haihong
Pan, Jingtao
Chen, Hong
Peng, Yan
Zhang, Yuanming
Lu, Quanwei
Shi, Yuzhen
Yuan, Youlu
author_sort Li, Shaoqi
collection PubMed
description INTRODUCTION: The simultaneous improvement of fiber quality and yield for cotton is strongly limited by the narrow genetic backgrounds of Gossypium hirsutum (Gh) and the negative genetic correlations among traits. An effective way to overcome the bottlenecks is to introgress the favorable alleles of Gossypium barbadense (Gb) for fiber quality into Gh with high yield. OBJECTIVES: This study was to identify superior loci for the improvement of fiber quality and yield. METHODS: Two sets of chromosome segment substitution lines (CSSLs) were generated by crossing Hai1 (Gb, donor-parent) with cultivar CCRI36 (Gh) and CCRI45 (Gh) as genetic backgrounds, and cultivated in 6 and 8 environments, respectively. The kmer genotyping strategy was improved and applied to the population genetic analysis of 743 genomic sequencing data. A progeny segregating population was constructed to validate genetic effects of the candidate loci. RESULTS: A total of 68,912 and 83,352 genome-wide introgressed kmers were identified in the CCRI36 and CCRI45 populations, respectively. Over 90 % introgressions were homologous exchanges and about 21 % were reverse insertions. In total, 291 major introgressed segments were identified with stable genetic effects, of which 66(22.98 %), 64(21.99 %), 35(12.03 %), 31(10.65 %) and 18(6.19 %) were beneficial for the improvement of fiber length (FL), strength (FS), micronaire, lint-percentage (LP) and boll-weight, respectively. Thirty-nine introgression segments were detected with stable favorable additive effects for simultaneous improvement of 2 or more traits in Gh genetic background, including 6 could increase FL/FS and LP. The pyramiding effects of 3 pleiotropic segments (A07:C45Clu-081, D06:C45Clu-218, D02:C45Clu-193) were further validated in the segregating population. CONCLUSION: The combining of genome-wide introgressions and kmer genotyping strategy showed significant advantages in exploring genetic resources. Through the genome-wide comprehensive mining, a total of 11 clusters (segments) were discovered for the stable simultaneous improvement of FL/FS and LP, which should be paid more attention in the future.
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spelling pubmed-106582362022-11-30 Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits Li, Shaoqi Kong, Linglei Xiao, Xianghui Li, Pengtao Liu, Aiying Li, Junwen Gong, Juwu Gong, Wankui Ge, Qun Shang, Haihong Pan, Jingtao Chen, Hong Peng, Yan Zhang, Yuanming Lu, Quanwei Shi, Yuzhen Yuan, Youlu J Adv Res Original Article INTRODUCTION: The simultaneous improvement of fiber quality and yield for cotton is strongly limited by the narrow genetic backgrounds of Gossypium hirsutum (Gh) and the negative genetic correlations among traits. An effective way to overcome the bottlenecks is to introgress the favorable alleles of Gossypium barbadense (Gb) for fiber quality into Gh with high yield. OBJECTIVES: This study was to identify superior loci for the improvement of fiber quality and yield. METHODS: Two sets of chromosome segment substitution lines (CSSLs) were generated by crossing Hai1 (Gb, donor-parent) with cultivar CCRI36 (Gh) and CCRI45 (Gh) as genetic backgrounds, and cultivated in 6 and 8 environments, respectively. The kmer genotyping strategy was improved and applied to the population genetic analysis of 743 genomic sequencing data. A progeny segregating population was constructed to validate genetic effects of the candidate loci. RESULTS: A total of 68,912 and 83,352 genome-wide introgressed kmers were identified in the CCRI36 and CCRI45 populations, respectively. Over 90 % introgressions were homologous exchanges and about 21 % were reverse insertions. In total, 291 major introgressed segments were identified with stable genetic effects, of which 66(22.98 %), 64(21.99 %), 35(12.03 %), 31(10.65 %) and 18(6.19 %) were beneficial for the improvement of fiber length (FL), strength (FS), micronaire, lint-percentage (LP) and boll-weight, respectively. Thirty-nine introgression segments were detected with stable favorable additive effects for simultaneous improvement of 2 or more traits in Gh genetic background, including 6 could increase FL/FS and LP. The pyramiding effects of 3 pleiotropic segments (A07:C45Clu-081, D06:C45Clu-218, D02:C45Clu-193) were further validated in the segregating population. CONCLUSION: The combining of genome-wide introgressions and kmer genotyping strategy showed significant advantages in exploring genetic resources. Through the genome-wide comprehensive mining, a total of 11 clusters (segments) were discovered for the stable simultaneous improvement of FL/FS and LP, which should be paid more attention in the future. Elsevier 2022-11-30 /pmc/articles/PMC10658236/ /pubmed/36460274 http://dx.doi.org/10.1016/j.jare.2022.11.009 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of Cairo University. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Li, Shaoqi
Kong, Linglei
Xiao, Xianghui
Li, Pengtao
Liu, Aiying
Li, Junwen
Gong, Juwu
Gong, Wankui
Ge, Qun
Shang, Haihong
Pan, Jingtao
Chen, Hong
Peng, Yan
Zhang, Yuanming
Lu, Quanwei
Shi, Yuzhen
Yuan, Youlu
Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title_full Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title_fullStr Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title_full_unstemmed Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title_short Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
title_sort genome-wide artificial introgressions of gossypium barbadense into g. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658236/
https://www.ncbi.nlm.nih.gov/pubmed/36460274
http://dx.doi.org/10.1016/j.jare.2022.11.009
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