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      Dissecting the Superior Drivers for the Simultaneous Improvement of Fiber Quality and Yield Under Drought Stress Via Genome‐Wide Artificial Introgressions of Gossypium barbadense into Gossypium hirsutum

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          Abstract

          Global water scarcity and extreme weather intensify drought stress, significantly reducing cotton yield and quality worldwide. Drought treatments are conducted using a population of chromosome segment substitution lines generated from E22 ( G. hirsutum) and 3–79 ( G. barbadense) as parental lines either show superior yields or fiber quality under both control and drought conditions. Fourteen datasets, covering 4 yields and 4 quality traits, are compiled and assessed for drought resistance using the drought resistance coefficient (DRC) and membership function value of drought resistance (MFVD). Genome‐wide association studies, linkage analysis, and bulked segregant analysis are combined to analyze the DR‐related QTL. A total of 121 significant QTL are identified by DRC and MFVD of the 8 traits. CRISPR/Cas9 and virus‐induced gene silencing techniques verified DRR1 and DRT1 as pivotal genes in regulating drought resistant of cotton, with hap 3‐79 exhibiting greater drought resistance than hap E22 concerning DRR1 and DRT1. Moreover, 14 markers with superior yield and fiber quality are selected for drought treatment. This study offers valuable insights into yield and fiber quality variations between G. hirsutum and G. barbadense amid drought, providing crucial theoretical and technological backing for developing cotton varieties resilient to drought, with high yield and superior fiber quality.

          Abstract

          Here, the study identifies QTL and genes significantly enhancing cotton yield and fiber quality under drought stress through QTL mapping of allotetraploid interspecific chromosomal segment substitution line populations, as well as functional analysis of genes using techniques such as CRISPR/Cas9 and virus‐induced gene silencing techniques. Aggregate analysis is used to explore the relationship between drought resistance, yield, and fiber quality.

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          Author and article information

          Contributors
          yxy@mail.hzau.edu.cn
          Journal
          Adv Sci (Weinh)
          Adv Sci (Weinh)
          10.1002/(ISSN)2198-3844
          ADVS
          Advanced Science
          John Wiley and Sons Inc. (Hoboken )
          2198-3844
          10 July 2024
          September 2024
          : 11
          : 34 ( doiID: 10.1002/advs.v11.34 )
          : 2400445
          Affiliations
          [ 1 ] National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University Wuhan 430070 China
          [ 2 ] Hubei Hongshan Laboratory Wuhan 430070 China
          [ 3 ] Cotton Institute Xinjiang Academy of Agriculture and Reclamation Science Shihezi 832000 China
          [ 4 ] College of Life Sciences Tarim University Alar 843300 China
          Author notes
          Author information
          https://orcid.org/0000-0003-1305-8677
          Article
          ADVS8466
          10.1002/advs.202400445
          11425955
          38984458
          c2e79eea-9df2-491e-8848-27b62b061a52
          © 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH

          This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

          History
          : 07 May 2024
          : 12 January 2024
          Page count
          Figures: 7, Tables: 0, Pages: 16, Words: 11714
          Funding
          Funded by: Ministry of Agriculture and Rural Affairs
          Award ID: 2023ZD04039‐01
          Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
          Award ID: 32171942
          Funded by: Bingtuan Science and Technology Program
          Award ID: 2022DB012
          Categories
          Research Article
          Research Article
          Custom metadata
          2.0
          September 11, 2024
          Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.8 mode:remove_FC converted:26.09.2024

          cotton,drought stress,drr1,drt1, qtl
          cotton, drought stress, drr1, drt1, qtl

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