Liu Ruixian, Zhu Minghui, Shi Yongqiang, Li Junwen, Gong Juwu, Xiao Xianghui, Chen Quanjia, Yuan Youlu, Gong Wankui
Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Plants (Basel). 2023 Oct 31;12(21):3737. doi: 10.3390/plants12213737.
Fiber quality traits, especially fiber strength, length, and micronaire (FS, FL, and FM), have been recognized as critical fiber attributes in the textile industry, while the lint percentage (LP) was an important indicator to evaluate the cotton lint yield. So far, the genetic mechanism behind the formation of these traits is still unclear. Quantitative trait loci (QTL) identification and candidate gene validation provide an effective methodology to uncover the genetic and molecular basis of FL, FS, FM, and LP. A previous study identified three important QTL/QTL cluster loci, harboring at least one of the above traits on chromosomes A01, A07, and D12 via a recombinant inbred line (RIL) population derived from a cross of Lumianyan28 (L28) × Xinluzao24 (X24). A secondary segregating population (F) was developed from a cross between L28 and an RIL, RIL40 (L28 × RIL40). Based on the population, genetic linkage maps of the previous QTL cluster intervals on A01 (6.70-10.15 Mb), A07 (85.48-93.43 Mb), and D12 (0.40-1.43 Mb) were constructed, which span 12.25, 15.90, and 5.56 cM, with 2, 14, and 4 simple sequence repeat (SSR) and insertion/deletion (Indel) markers, respectively. QTLs of FL, FS, FM, and LP on these three intervals were verified by composite interval mapping (CIM) using WinQTL Cartographer 2.5 software via phenotyping of F and its derived F populations. The results validated the previous primary QTL identification of FL, FS, FM, and LP. Analysis of the RNA-seq data of the developing fibers of L28 and RIL40 at 10, 20, and 30 days post anthesis (DPA) identified seven differentially expressed genes (DEGs) as potential candidate genes. qRT-PCR verified that five of them were consistent with the RNA-seq result. These genes may be involved in regulating fiber development, leading to the formation of FL, FS, FM, and LP. This study provides an experimental foundation for further exploration of these functional genes to dissect the genetic mechanism of cotton fiber development.
纤维品质性状,尤其是纤维强度、长度和马克隆值(FS、FL和FM),已被公认为纺织工业中关键的纤维属性,而皮棉百分率(LP)是评估棉花皮棉产量的重要指标。到目前为止,这些性状形成背后的遗传机制仍不清楚。数量性状位点(QTL)鉴定和候选基因验证为揭示FL、FS、FM和LP的遗传和分子基础提供了一种有效的方法。先前的一项研究通过源自鲁棉研28(L28)×新陆早24(X24)杂交的重组自交系(RIL)群体,在A01、A07和D12染色体上鉴定出三个重要的QTL/QTL簇位点,这些位点至少包含上述一种性状。从L28与一个RIL,即RIL40(L28×RIL40)的杂交中构建了一个次级分离群体(F)。基于该群体,构建了先前QTL簇区间在A01(6.70 - 10.15 Mb)、A07(85.48 - 93.43 Mb)和D12(0.40 - 1.43 Mb)上的遗传连锁图谱,其跨度分别为12.25、15.90和5.56 cM,分别有2个、14个和4个简单序列重复(SSR)和插入/缺失(Indel)标记。通过使用WinQTL Cartographer 2.5软件对F及其衍生的F群体进行表型分析,利用复合区间作图(CIM)对这三个区间上的FL、FS、FM和LP的QTL进行了验证。结果验证了先前对FL、FS、FM和LP的主要QTL鉴定。对L28和RIL40开花后10、20和30天发育中纤维的RNA测序数据进行分析,鉴定出7个差异表达基因(DEG)作为潜在的候选基因。qRT-PCR验证其中5个与RNA测序结果一致。这些基因可能参与调节纤维发育,从而导致FL、FS、FM和LP的形成。本研究为进一步探索这些功能基因以剖析棉花纤维发育的遗传机制提供了实验基础。