State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China.
Plant Biotechnol J. 2020 Jan;18(1):239-253. doi: 10.1111/pbi.13191. Epub 2019 Jul 8.
Cotton is widely cultivated globally because it provides natural fibre for the textile industry and human use. To identify quantitative trait loci (QTLs)/genes associated with fibre quality and yield, a recombinant inbred line (RIL) population was developed in upland cotton. A consensus map covering the whole genome was constructed with three types of markers (8295 markers, 5197.17 centimorgans (cM)). Six fibre yield and quality traits were evaluated in 17 environments, and 983 QTLs were identified, 198 of which were stable and mainly distributed on chromosomes 4, 6, 7, 13, 21 and 25. Thirty-seven QTL clusters were identified, in which 92.8% of paired traits with significant medium or high positive correlations had the same QTL additive effect directions, and all of the paired traits with significant medium or high negative correlations had opposite additive effect directions. In total, 1297 genes were discovered in the QTL clusters, 414 of which were expressed in two RNA-Seq data sets. Many genes were discovered, 23 of which were promising candidates. Six important QTL clusters that included both fibre quality and yield traits were identified with opposite additive effect directions, and those on chromosome 13 (qClu-chr13-2) could increase fibre quality but reduce yield; this result was validated in a natural population using three markers. These data could provide information about the genetic basis of cotton fibre quality and yield and help cotton breeders to improve fibre quality and yield simultaneously.
棉花在全球范围内广泛种植,因为它为纺织业和人类提供了天然纤维。为了鉴定与纤维品质和产量相关的数量性状基因座(QTL)/基因,在陆地棉中开发了重组自交系(RIL)群体。利用三种类型的标记(8295 个标记,5197.17 厘摩(cM))构建了一张覆盖整个基因组的共识图谱。在 17 个环境中评估了 6 个纤维产量和品质性状,鉴定了 983 个 QTL,其中 198 个是稳定的,主要分布在染色体 4、6、7、13、21 和 25 上。鉴定出 37 个 QTL 簇,其中具有显著中等到高度正相关的成对性状的 92.8%具有相同的 QTL 加性效应方向,所有具有显著中等到高度负相关的成对性状具有相反的加性效应方向。在 QTL 簇中共发现了 1297 个基因,其中 414 个在两个 RNA-Seq 数据集中有表达。发现了许多基因,其中 23 个是有前途的候选基因。鉴定出 6 个包含纤维品质和产量性状的重要 QTL 簇,它们具有相反的加性效应方向,其中位于染色体 13(qClu-chr13-2)上的簇可以提高纤维品质但降低产量;这一结果在一个自然群体中利用三个标记进行了验证。这些数据可以为棉花纤维品质和产量的遗传基础提供信息,并帮助棉花育种家同时提高纤维品质和产量。