数字农科院2.0

Genomic loci associated with leaf abscission contribute to machine picking and environmental adaptability in upland cotton ( Gossypium hirsutum L.)

文献类型: 外文期刊

作者: Li, Hongge;Wang, Xiangru;Qin, Ning;Hu, Daowu;Jia, Yinhua;Sun, Gaofei;He, Liangrong;Zhang, Hengheng;Dai, Panhong;Peng, Zhen;Pang, Nianchang;Pan, Zhaoe;Zhang, Xiaomeng;Dong, Qiang;Chen, Baojun;Gui, Huiping;Pang, Baoyin;Zhang, Xiling;He, Shoupu;Song, Meizhen;Du, Xiongming

作者机构:

关键词: Gossypium hirsutum;Defoliation;Machine picking;Genomic loci;Environmental adaptability

期刊名称: JOURNAL OF ADVANCED RESEARCH

ISSN: 2090-1232

年卷期: 2024 年 58 卷

页码:

收录情况: SCIE(2024版)

摘要: Introduction: Defoliation by applying defoliants before machine picking is an important agricultural practice that enhances harvesting efficiency and leads to increased raw cotton purity. However, the fundamental characteristics of leaf abscission and the underlying genetic basis in cotton are not clearly understood. Objectives: In this study, we aimed to (1) reveal the phenotypic variations in cotton leaf abscission, (2) discover the whole-genome differentiation sweeps and genetic loci related to defoliation, (3) identify and verify the functions of key candidate genes associated with defoliation, and (4) explore the relationship between haplotype frequency of loci and environmental adaptability. Methods: Four defoliation -related traits of 383 re -sequenced Gossypium hirsutum accessions were investigated in four environments. The genome-wide association study (GWAS), linkage disequilibrium (LD) interval genotyping and functional identification were conducted. Finally, the haplotype variation related to environmental adaptability and defoliation traits was revealed. Results: Our findings revealed the fundamental phenotypic variations of defoliation traits in cotton. We showed that defoliant significantly increased the defoliation rate without incurring yield and fiber quality penalties. The strong correlations between defoliation traits and growth period traits were observed. A genome-wide association study of defoliation traits identified 174 significant SNPs. Two loci ( RDR7 on A02 and RDR13 on A13) that significantly associated with the relative defoliation rate were described, and key candidate genes GhLRR and GhCYCD3;1, encoding a leucine-rich repeat (LRR) family protein and D3 -type cell cyclin 1 protein respectively, were functional verified by expression pattern analysis and gene silencing. We found that combining of two favorable haplotypes (Hap RDR7 and Hap RDR13 ) improved sensitivity to defoliant. The favorable haplotype frequency generally increased in high latitudes in China, enabling adaptation to the local environment. Conclusion: Our findings lay an important foundation for the potentially broad application of leveraging key genetic loci in breeding machine-pickable cotton. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

分类号:

  • 相关文献

[1]陆地棉开花相关基因GhFLP1的克隆与功能验证. 张盼,范术丽,宋美珍,庞朝友,魏恒玲,喻树迅. 2016

[2]Novel compound bacterial agent effects on pig farm wastewater denitrification and nitrogen transformation. Rong Gao,Zhuangzhuang Liu,Weikun Li,Liu Lou,Tong Xu,Lin Shi,Jie Cao,Jun Fang,Gang Liu. 2025

[3]Phase Separation: Orchestrating Biological Adaptations to Environmental Fluctuations. Wang, Wenxiu,Han, Fangbing,Qi, Zhi,Yan, Chunxia,Su, Bodan,Wang, Jin. 2025

[4]Deciphering the Genetic Code of Wheat Genotypes: A Regional Perspective in Pakistan on Morpho-Agronomic Traits and Protein Profiling. Iqbal, Sadaf,Fordil, Bushra Muhammad,Kayani, Ayesha,Farraj, Dunia A. Al,Elshikh, Mohamed S.,Khan, Nadia,Waheed, Abdul. 2025

[5]Gibberellin stimulates regrowth after defoliation of sheepgrass (Leymus chinensis) by regulating expression of fructan-related genes. Cai, Yueyue,Liu, Gongshe,Chen, Shuangyan,Shao, Linhui,Li, Xiuqing.

[6]Laboratory testing and molecular analysis of the resistance of wild and cultivated soybeans to cotton bollworm, Helicoverpa armigera (Hubner). Wang, Xiaoyi,Chen, Haifeng,Sha, Aihua,Zhou, Rong,Shang, Zhihui,Zhang, Xiaojuan,Zhang, Chanjuan,Chen, Limiao,Hao, Qingnan,Yang, Zhonglu,Qiu, Dezhen,Chen, Shuilian,Zhou, Xinan. 2015

[7]Disentangling the effects of animal defoliation, trampling, and excretion deposition on plant nutrient resorption in a semi-arid steppe: The predominant role of defoliation. Zhang T., Li F.Y., Li Y., Shi C., Wang H., Wu L., Bai Z., Suri G., Wang Z.. 2022

[8]Non-structural carbohydrates coordinate tree peony flowering both as energy substrates and as sugar signaling triggers, with the bracts playing an essential role. Zhiyong Liu,Yantong Shi,Yuqian Xue,Xiaoping Wang,Zhen Huang,Jingqi Xue,Xiuxin Zhang. 2021

[9]Defoliation And Gibberellin Synergistically Induce T.ree Peony Flowering With N on-Structural Carbohydrates As Intermedia. Xue, JQ, Li, T, Wang, SL, Xue, YQ, Liu, XW, Zhang, XX. 2019

[10]Shoot–Root Interplay Mediates Defoliation-Induced Plant Legacy Effect. Xiliang Li,Zhen Zhang,Fenghui Guo,Junjie Duan,Juan Sun. 2021

[11]Genome Sequences Of Verticillium Dahliae Defoliating Strain Xj592 And Nondefoliating Strain Xj511. Li, HY, Dai, JC, Qin, J, Shang, WJ, Chen, JY, Zhang, L, Dai, XF, Klosterman, SJ, Xu, XM, Subbarao, KV, Fan, SH, Hu, XP. 2020

[12]Balancing mepiquat chloride and harvest aid applications for optimal cotton yield and defoliation in mechanical harvesting systems. Kexin Li,Zhenwang Zhang,Mingfeng Yang,Te Zhang,Keke Yu,Yongfan Chen,Yukun Wang,Qinghua Liao,Lizhen Zhang,Fangjun Li,Sumei Wan,Guodong Chen,Mingwei Du,Xiaoli Tian,Zhaohu Li. 2025

[13]Establishment of a high-throughput ffeld defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton. . 2025

[14]Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton. Bowei Xu,Le Liu,Rumeng Zhao,Jiajie Yang,Bin Wu,Lili Lu,Xiantao Ai,Jingshan Tian,Fuguang Li,Kai Zheng,Liqiang Fan,Zuoren Yang. 2025

[15]Optimizing harvest aid applications for mechanical cotton harvesting: A meta-analysis of defoliation–yield trade-offs driven by crop physiology and environmental factors. Zhenwang Zhang,Yukun Wang,Xinghua Yu,Keke Yu,Huijie Hou,Qinghua Liao,Kexin Li,Zhijie Shi,Jianxin Dong,Guodong Chen,Sumei Wan,Shanwei Lou,Mingfeng Yang,Fangjun Li,Mingwei Du ,Xiaoli Tian,Zhaohu Li. 2025

[16]Genotyping-By-Sequencing Of Gossypium Hirsutum Races And Cultivars Uncovers Novel Patterns Of Genetic Relationships And Domestication Footprints. Peng, Renhai,Guo, Jinggong,Liu, Fang,Zhang, Shulin,Zhang, Shulin,Miao, Yuchen,Li, Kun,Cai, Yaling,Zhang, Xuebin,Roberts, Jeremy A.. 2019

[17]Identification Of Histone H3 (Hh3) G.enes In Gossypium Hirsutum R evealed Diverse Expression During Ovule Development And Stress Responses. Wang, Zhi,Yang, Zuoren,Mo, Huijuan,Qanmber, Ghulam,Lu, Lili,Ma, Shuya,Ali, Faiza,Wang, Zhi,Yang, Zuoren. 2019

[18]Characterization Of The Gh4Cl Gene Family Reveals A Role Of Gh4Cl7 In Drought Tolerance. Li, Yan-Jun,Feng, Hong-Jie,Zhu, Qian-Hao,Sun, Jie,Sun, Shi-Chao,Xiong, Xian-Peng,Zhang, Xiao-Li. 2020

[19]Genome-Wide Association Study Of The O.il Content In Upland C otton (Gossypium Hirsutum L.) And Identification Of Ghprxr1, A Candidate Gene For A Stable Qtlqoc-Dt5-1. Wu, Man,Yu, Jiwen,Zhang, Xia,Wang, Nuohan,Cui, Yupeng,Song, Jikun,Yu, Shuxun,Zang, XinShan,Zhang, Jinfa,Yu, Shuxun,Liu, Guoyuan,Pei, Wenfeng,Liu, Ji,Wang, Nuohan,Ma, Qifeng,Li, Dan,Ma, Jianjiang,Ma, Jianjiang. 2019

[20]Transcriptome Analysis Reveals Differences In T.he Mechanisms Of Fiber I nitiation And Elongation Between Long- And Short-Fiber Cotton (Gossypium Hirsutum L.) Lines. Sun, Huiru,Wei, Hengling,Hao, Pengbo,Wang, Hantao,Wang, Congcong,Yu, Shuxun,Qin, Yuan,Ma, Liang. 2019

作者其他论文 更多>>