棉花纤维品质相关性状QTL元分析及候选基因鉴定

doi:10.3724/SP.J.1006.2025.44108

Abstract

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

GUO Dong-Cai, LYU Tao, CAI Yong-Sheng, MAI WU-LU-DA·AI He-Mai-Ti, CHEN Quan-Jia, QU Yan-Ying, ZHENG Kai. Meta-analysis of QTL and identification of candidate genes for fiber quality in cotton[J].Acta Agronomica Sinica, 2025, 51(6): 1445-1466.

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

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