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<p>Upland cotton is the most important natural fiber resource, but long-term excessive domestication and artificial selection has greatly impoverished its genetic diversity. Therefore, enriching the genetic diversity of upland cotton by transferring desirable genes from wild cotton is imperative. In this study, a <i>Gossypium hirsutum</i>–<i>Gossypium turneri</i> introgression population consisting of 253 lines was developed by molecular marker-assisted selection. The total introgression fragments covered 207.70&#xa0;Mb (27.50%) of the <i>G. turneri</i> genome, with the introgression segment lengths ranging from 0.22 to 18.39&#xa0;Mb and an average&#xa0;of 2.38&#xa0;Mb. A total of 50 QTLs were identified using the stepwise regression (RSTEP-LRT) mapping method, forming 5 stable QTLs and 8 QTL clusters. Among these, 39 new QTLs were detected, with 17 favorable for improving fiber quality or yield. Constructing introgression lines could help retrieve favorable genes eliminated during domestication and artificial selection. Several positive QTLs (6/16) related to fiber quality were identified, which could potentially improve upland cotton. The introgression population developed in this study could be further utilized to mine favorable genes in <i>G. turneri</i> to enhance the overall quality of upland cotton in the future.</p>

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Construction of Gossypium hirsutum—Gossypium turneri chromosome segment introgression population for mapping new QTLs related to yield and fiber quality traits

  • 期刊论文

  • 发表日期：

    2025年3月24日

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  • Liang Wang,
  • Chenhui Zhou,
  • Mengfei Chen,
  • Nijiang Ai,
  • Guoli Feng,
  • Ningshan Wang,
  • Yu Chen,
  • Baoliang Zhou

摘要

Upland cotton is the most important natural fiber resource, but long-term excessive domestication and artificial selection has greatly impoverished its genetic diversity. Therefore, enriching the genetic diversity of upland cotton by transferring desirable genes from wild cotton is imperative. In this study, a Gossypium hirsutum–Gossypium turneri introgression population consisting of 253 lines was developed by molecular marker-assisted selection. The total introgression fragments covered 207.70 Mb (27.50%) of the G. turneri genome, with the introgression segment lengths ranging from 0.22 to 18.39 Mb and an average of 2.38 Mb. A total of 50 QTLs were identified using the stepwise regression (RSTEP-LRT) mapping method, forming 5 stable QTLs and 8 QTL clusters. Among these, 39 new QTLs were detected, with 17 favorable for improving fiber quality or yield. Constructing introgression lines could help retrieve favorable genes eliminated during domestication and artificial selection. Several positive QTLs (6/16) related to fiber quality were identified, which could potentially improve upland cotton. The introgression population developed in this study could be further utilized to mine favorable genes in G. turneri to enhance the overall quality of upland cotton in the future.