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棉花纤维品质相关性状QTL元分析及候选基因鉴定

郭栋财**，吕涛**，蔡永生，买吾鲁达·艾合买提，陈全家，曲延英*，郑凯*   

  1. 新疆农业大学 / 新疆作物生物育种重点实验室, 新疆乌鲁木齐 830052
  • 收稿日期:2024-07-05 修回日期:2025-01-23 接受日期:2025-01-23 网络出版日期:2025-02-11
  • 通讯作者: 郑凯, E-mail：zhengkai555@126.com; 曲延英, E-mail: xjyyq5322@126.com
  • 基金资助:
    本研究由国家自然科学基金青年基金项目(32301867), 新疆维吾尔自治区重点研发项目(2022B02009-1), “天山英才”培养计划项目(2023TSYCLJ0012)和新疆农业大学作物学重点学科发展基金项目(XNCDKY2021016)资助。

Meta-analysis of QTL and identification of candidate genes for fiber quality in cotton

GUO Dong-Cai**,LYU Tao**,CAI Yong-Sheng,MAI WU-LU-DA·AI He-Mai-Ti,CHEN Quan-Jia,QU Yan-Ying*,ZHENG Kai*   

  1. Xinjiang Agricultural University / Laboratory of Crop Genetic Improvement and Germplasm Innovation, Urumqi 830052, Xinjiang, China
  • Received:2024-07-05 Revised:2025-01-23 Accepted:2025-01-23 Published online:2025-02-11
  • Supported by:
    This study was supported by the National Natural Science Foundation of China Young Scientists Fund (32301867), the Key Research and Development Project of the Xinjiang Uygur Autonomous Region (2022B02009-1), the “Tianshan Talent” Training Program (2023TSYCLJ0012), and the Key Discipline Development Fund for Crop Science of Xinjiang Agricultural University (XNCDKY2021016).

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摘要：

棉花纤维品质性状是受多基因控制的复杂数量性状，深入挖掘棉花纤维品质数量性状基因座(quantitative trait loci, QTL)和候选基因对棉花纤维品质遗传改良具有重要意义。本研究利用BioMercator 4.2软件，以Blenda A等发布的棉花高密度分子标记遗传连锁图谱为参考图谱，对来自21个独立纤维品质QTL定位研究中的379个控制棉花纤维品质的原始QTL进行图谱整合、映射以及QTL元分析。获得的74个控制棉花纤维品质性状的一致性MQTL (meta quantitative trait loci, MQTL)，分布在26条染色体上，置信区间最小为0.5 cM，所有MQTL中共包含13,833个基因。通过RNA-seq、GO和KEGG富集分析，挖掘到32个与棉花纤维品质相关的候选基因。通过qRT-PCR验证发现，这些基因在棉花纤维发育不同时期差异表达，推测其可能参与调控棉花纤维发育。本研究为棉花纤维品质性状分子标记辅助选择育种和基因克隆提供理论依据。

关键词: 棉花, 纤维品质, 一致性QTL, 元分析

Abstract:

Cotton fiber quality is a complex quantitative trait controlled by multiple genes. Identifying true quantitative trait loci (QTLs) and candidate genes associated with fiber quality is critical for the genetic improvement of cotton. In this study, QTL meta-analysis was performed using BioMercator 4.2 software, with a high-density molecular marker genetic linkage map published by Blenda A et al. as the reference. A total of 379 original QTLs related to cotton fiber quality, derived from 21 independent QTL mapping studies, were integrated, mapped, and analyzed. This analysis identified 74 meta-QTLs (MQTLs) associated with cotton fiber quality traits, distributed across 26 chromosomes, with the minimum confidence interval of 0.5 cM. These MQTLs collectively encompassed 13,833 genes. Through RNA-seq analysis combined with GO and KEGG enrichment analysis, 32 candidate genes related to cotton fiber quality were identified. qRT-PCR validation revealed that these genes exhibited differential expression during various stages of fiber development, suggesting their potential roles in regulating fiber growth and quality. This study provides a theoretical basis for molecular marker-assisted breeding and gene cloning for cotton fiber quality.

Key words: cotton, fiber quality, consistency QTL, meta-analysis

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