PDF(Pubmed)
Abstract：
Plant height (PH) is a key plant architecture trait for improving the biological productivity of cotton. Ideal PH of cotton is conducive to lodging resistance and mechanized harvesting. To detect quantitative trait loci (QTL) and candidate genes of PH in cotton, a genetic map was constructed with a recombinant inbred line (RIL) population of upland cotton. PH phenotype data under nine environments and three best linear unbiased predictions (BLUPs) were used for QTL analyses. Based on restriction-site-associated DNA sequence (RAD-seq), the genetic map contained 5,850 single-nucleotide polymorphism (SNP) markers, covering 2,747.12 cM with an average genetic distance of 0.47 cM. Thirty-seven unconditional QTL explaining 1.03-12.50% of phenotypic variance, including four major QTL and seven stable QTL, were identified. Twenty-eight conditional QTL explaining 3.27-28.87% of phenotypic variance, including 1 major QTL, were identified. Importantly, five QTL, including 4 stable QTL, were both unconditional and conditional QTL. Among the 60 PH QTL (including 39 newly identified), none of them were involved in the whole period of PH growth, indicating that QTL related to cotton PH development have dynamic expression characteristics. Based on the functional annotation of Arabidopsis homologous genes and transcriptome data of upland cotton TM-1, 14 candidate genes were predicted within 10 QTL. Our research provides valuable information for understanding the genetic mechanism of PH development, which also increases the economic production of cotton.
摘要：
株高（PH）是提高棉花生物生产力的关键植物结构性状。棉花的理想pH值有利于抗倒伏和机械化收获。为检测棉花PH的数量性状位点(QTL)和候选基因,用陆地棉的重组自交系（RIL）种群构建了遗传图谱。9种环境下的PH表型数据和3种最佳线性无偏预测（BLUP）用于QTL分析。基于限制性位点相关DNA序列（RAD-seq），遗传图谱包含5,850个单核苷酸多态性（SNP）标记，覆盖2,747.12cM，平均遗传距离为0.47cM。37个无条件QTL解释1.03-12.50%的表型变异，包括四个主要QTL和七个稳定QTL，已确定。28个条件QTL解释3.27-28.87%的表型变异，包括1个主要QTL，已确定。重要的是,五个QTL,包括4个稳定的QTL，是无条件和有条件的QTL。在60个PHQTL（包括39个新鉴定）中，它们都没有参与整个PH生长期间，说明与棉花PH发育相关的QTL具有动态表达特征。根据拟南芥同源基因的功能注释和陆地棉TM-1的转录组数据，在10个QTL内预测了14个候选基因。我们的研究为理解PH发育的遗传机制提供了有价值的信息，这也增加了棉花的经济产量。
