数字农科院2.0

Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line

文献类型： 外文期刊

作者： Quanwei Lu;Xianghui Xiao;Juwu Gong;Pengtao Li;Yan Zhao;Jiajia Feng;Renhai Peng;Yuzhen Shi;Youlu Yuan

作者机构：

关键词： candidate genes;CSSLs;fiber length;QTL mapping;RNA-seq

期刊名称： Frontiers in Plant Science

ISSN： 1664-462X

年卷期： 2021 年 12 卷

页码：

收录情况： JCR（2021版）

摘要： Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic trait. Identifying genes associated with fiber length is of great importance for efforts to improve fiber quality in the context of cotton breeding. Integrating transcriptomic information and details regarding candidate gene regions can aid in candidate gene identification. In the present study, the CCRI45 line and a chromosome segment substitution line (CSSL) with a significantly higher fiber length (MBI7747) were utilized to establish F2 and F2:3 populations. Using a high-density genetic map published previously, six quantitative trait loci (QTLs) associated with fiber length and two QTLs associated with fiber strength were identified on four chromosomes. Within these QTLs, qFL-A07-1, qFL-A12-2, qFL-A12-5, and qFL-D02-1 were identified in two or three environments and confirmed by a meta-analysis. By integrating transcriptomic data from the two parental lines and through qPCR analyses, four genes associated with these QTLs including Cellulose synthase-like protein D3 (CSLD3, GH_A12G2259 for qFL-A12-2), expansin-A1 (EXPA1, GH_A12G1972 for qFL-A12-5), plasmodesmata callose-binding protein 3 (PDCB3, GH_A12G2014 for qFL-A12-5), and Polygalacturonase (At1g48100, GH_D02G0616 for qFL-D02-1) were identified as promising candidate genes associated with fiber length. Overall, these results offer a robust foundation for further studies regarding the molecular basis for fiber length and for efforts to improve cotton fiber quality.

分类号：

  • 相关文献

[1]Development of two sets of tobacco chromosome segment substitution lines and QTL mapping for agronomic and disease resistance traits. Huan Si,Dong Wang,Yanjun Zan,Wanfeng Liu,Wenxuan Pu,Xiaoxu Li,Hui Mao,Xingyou Yang,Shiyang Song,Yongda Wang,Caihong Jiang,Xuhao Pan,Zhiliang Xiao,Liuying Wen,Yiwen Sun,Dan Liu,Lirui Cheng,Aiguo Yang. 2025

[2]Quantitative trait loci mapping reveals important genomic regions controlling root architecture and shoot biomass under nitrogen, phosphorus, and potassium stress in rapeseed (Brassica napus L.). Nazir Ahmad,Sani Ibrahim,Ze Tian,Lieqiong Kuang,Xinfa Wang,Hanzhong Wang,Xiaoling Dun. 2022

[3]Quantitative trait loci mapping for heading date and spikelet number in wheat (Triticum aestivum L.)based on two recombinant inbred line populations. Hu, Wenjing,Zhu, Dongmei,Zhang, Yu,Liu, Jiang,Zhao, Die,Liao, Sen,Jia, Jizeng,Xu, Weigang. 2022

[4]Fine Mapping and Candidate Gene Analysis of Two Major Quantitative Trait Loci, qFW2.1 and qFW3.1, Controlling Fruit Weight in Pepper (Capsicum annuum). Congcong Guan,Yuan Jin,Zhenghai Zhang,Yacong Cao,Huamao Wu,Daiyuan Zhou,Wenqi Shao,Chuangchuang Yang,Guoliang Ban,Lingling Ma,Xin Wen,Lei Chen,Shanhan Cheng,Qin Deng,Hailong Yu,Lihao Wang. 2024

[5]Identification of Candidate Genes Controlling Resistance to Verticillium dahliae Using CCRI70 Recombinant Inbred Line Population in Gossypium hirsutum. Zhao, Yanpeng,Li, Tongyi,Hu, Fuxin,Wang, Panpan,Azhar, Muhammad Tehseen,Yan, Haoliang,Gong, Juwu,Yuan, Youlu,Shang, Haihong. 2025

[6]Integrating linkage mapping and GWAS reveals novel genetic architecture of seed weight in soybean (Glycine max L.). Zhang, Chunlei,Hong, Huilong,Yuan, Rongqiang,Zhao, Kezhen,Zha, Bire,Lamlom, Sobhi F.,Xi, Xiaoyu,Ren, Honglei,Qiu, Lijuan,Wang, Jiajun. 2026

[7]Characterization of a QTL on 7B for tiller number at the seedling stage in wheat landrace Yanda 1817. Jian Yang,Yu’e Zhang,Weiguo Hu,Yanjie Zhou,Xicheng Wang,Hong Zhao,Shenghui Zhou,Zhiyong Liu,Tingjie Cao. 2023

[8]Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development. Xueqian Jiang,Xijiang Yang,Fan Zhang,Tianhui Yang,Changfu Yang,Fei He,Ting Gao,Chuan Wang,Qingchuan Yang,Zhen Wang,Junmei Kang. 2022

[9]QTL作图中零假设检验统计量分布特征及LOD临界值估计方法. 孙子淇,李慧慧,张鲁燕,王建康. 2013

[10]Genome-wide association and RNA-seq analyses identify loci for pod orientation in rapeseed (Brassica napus). Yang Y.,Wang W.,Hu Q.,Raman H.,Liu J.. 2023

[11]Integration Linkage Mapping and Comparative Transcriptome Analysis to Dissect the Genetic Basis of Rice Salt Tolerance Associated with the Germination Stage. Geng, Leiyue,Zou, Tuo,Zhang, Wei,Wang, Shuo,Yao, Yutao,Zheng, Zhenyu,Du, Qi,Han, Longzhi. 2024

[12]Integrated transcriptomic and metabolomic analyses provide new insights into alkaline stress tolerance in Gossypium hirsutum. Shiwei Geng,Wenju Gao,Fenglei Sun,Ni Yang,Teng Ma,Tingwei Wang,Bingyue Wang,Junhao Wang,Shuaishuai Qian,Shengmei Li,Jieyin Zhao. 2025

[13]Qtl Mapping And Genetic Effect O.f Chromosome Segment Substitution L ines With Excellent Fiber Quality From Gossypium Hirsutum X Gossypium Barbadense. Liu, Rui:xian,Gong, Wan:kui,Xiao, Xiang:hui,Liu, Ai:ying,Li, Peng:tao,Lu, Quan:wei,Li, Shao:qi,Zhang, Qi,Shang, Hai:hong,Shi, Yu:zhen,Ge, Qun,Gong, Ju:wu,Yuan, You:lu,Li, Jun:wen,Kong, Ling:lei. 2019

[14]Comparative transcriptome analysis of interspecific CSSLs reveals candidate genes and pathways involved in verticillium wilt resistance in cotton (Gossypium hirsutum L.). Youzhong Li,Xinyu Zhang,Zhongxu Lin,Qian Hao Zhu,Yanjun Li,Fei Xue,Shuaishuai Cheng,Hongjie Feng,Jie Sun,Feng Liu. 2023

[15]Integrated Transcriptomic and Metabolomic Analysis Reveals GHABF3-Mediated ABA Signaling Governs Enhanced Verticillium Wilt Resistance in Cotton. Pengtao Li,Rui Yang,Zhihao Sun,Qun Ge,Xianghui Xiao,Shuhan Yang,Yanfang Li,Qiankun Liu,Xiaoyan Liu,Dongxia Wang,Juwu Gong,Quanwei Lu,Yuzhen Shi,Renhai Peng,Haihong Shang,Youlu Yuan,Yu Chen,Wankui Gong. 2025

[16]Study on the processing of stretch-broken ramie yarns in a cotton spinning system. Guan, Saipeng,Zhong, Hai,Yang, Jianping,Yu, Chongwen,Yu, Chongwen.

[17]Effects of fiber wax and cellulose content on colored cotton fiber quality. Zhaoe Pan,Donglei Sun,Junling Sun,Zhongli Zhou,Yinhua Jia,Baoyin Pang,Zhiying Ma,Xiongming Du.

[18]Spatial distribution of potassium uptake across the cotton plant affects fiber length. Yuan Chen,Yabing Li,Dapeng Hu,Xiang Zhang,Yujin Wen,Dehua Chen.

[19]Integrative transcriptomic and metabolomic analysis revealed the molecular mechanisms of fiber length difference between the micropylar end and chalazal end of ovule in interspecific hybrid cotton (Gossypium hirsutum × Gossypium barbadense). Kun Luo,Tengyu Li,Chenlei Wang,Xuan Zhao,Jingwen Pan,Shouhong Zhu,Yan Li,Wei Chen,Jinbo Yao,Yurong Jiang,Mingquan Ding,Junkang Rong,Yongshan Zhang. 2024

[20]Low soil available phosphorus level reduces cotton fiber length via osmoregulation. Miao Sun,Cangsong Zheng,Weina Feng,Jingjing Shao,Chaoyou Pang,Pengcheng Li,Helin Dong. 2023

作者其他论文 更多>>