Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Int J Mol Sci. 2023 Jun 20;24(12):10404. doi: 10.3390/ijms241210404.
Lint percentage is one of the most essential yield components and an important economic index for cotton planting. Improving lint percentage is an effective way to achieve high-yield in cotton breeding worldwide, especially upland cotton ( L.). However, the genetic basis controlling lint percentage has not yet been systematically understood. Here, we performed a genome-wide association mapping for lint percentage using a natural population consisting of 189 accessions (188 accessions of races and one cultivar TM-1). The results showed that 274 single-nucleotide polymorphisms (SNPs) significantly associated with lint percentage were detected, and they were distributed on 24 chromosomes. Forty-five SNPs were detected at least by two models or at least in two environments, and their 5 Mb up- and downstream regions included 584 makers related to lint percentage identified in previous studies. In total, 11 out of 45 SNPs were detected at least in two environments, and their 550 Kb up- and downstream region contained 335 genes. Through RNA sequencing, gene annotation, qRT-PCR, protein-protein interaction analysis, the -elements of the promotor region, and related miRNA prediction, and were selected as key candidate genes for fiber initiation and elongation, respectively. These excavated SNPs and candidate genes could supplement marker and gene information for deciphering the genetic basis of lint percentage and facilitate high-yield breeding programs of ultimately.
马克隆值是棉花种植最重要的产量构成因素之一，也是重要的经济指标。提高马克隆值是全球棉花育种实现高产的有效途径，特别是陆地棉（L.）。然而，控制马克隆值的遗传基础尚未得到系统理解。在这里，我们使用由 189 个品系（188 个品种和一个品种 TM-1）组成的自然群体对马克隆值进行了全基因组关联图谱分析。结果表明，检测到 274 个与马克隆值显著相关的单核苷酸多态性（SNP），它们分布在 24 条染色体上。至少有两个模型或至少在两个环境中检测到 45 个 SNP，它们的 5 Mb 上下游区域包括以前研究中鉴定的与马克隆值相关的 584 个标记。总共有 11 个 SNP 在至少两个环境中被检测到，它们的 550 Kb 上下游区域包含 335 个基因。通过 RNA 测序、基因注释、qRT-PCR、蛋白质-蛋白质相互作用分析、启动子区域的 -元件和相关 miRNA 预测，分别选择和 作为纤维起始和伸长的关键候选基因。这些挖掘出的 SNP 和候选基因可以补充标记和基因信息，以解析马克隆值的遗传基础，并最终促进陆地棉的高产育种计划。
