Your browser doesn't support javascript.
loading
Using association mapping and local interval haplotype association analysis to improve the cotton drought stress response.
Gao, Wenju; Chen, Qin; Fu, Jincheng; Jiang, Hui; Sun, Fenglei; Geng, Shiwei; Wang, Yuxiang; Zhao, Jieyin; Xie, Yuting; Zhou, Man; Qu, Yanying; Chen, Quanjia.
Affiliation
  • Gao W; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Chen Q; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Fu J; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Jiang H; Join Hope Seeds Co., Ltd. Room 1, 1st Layer, Block No. 27, Railway Station, Sangong Town, Changji City, Xinjiang Province 831100, China.
  • Sun F; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Geng S; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Wang Y; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Zhao J; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Xie Y; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Zhou M; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Qu Y; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China.
  • Chen Q; Engineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China. Electronic address: chqjia@126.com.
Plant Sci ; 335: 111813, 2023 Oct.
Article de En | MEDLINE | ID: mdl-37543225
ABSTRACT
Drought stress has a serious impact on the growth and development of cotton. To explore the relevant molecular mechanism of the drought stress response in cotton, gene mapping based on the QTL interval mapped by simplified genome BSA-seq of the drought-resistance-related RIL population was performed. A QTL region spanning 2.02 Mb on chromosome D07 was selected, and 201 resource materials were genotyped using 9 KASP markers in the interval. After local interval haplotype association analysis, the overlap of the 110 kb peak region confirmed the reliability of this region, and at the same time, the role of GhGF14-30, the only gene in the overlapping region, was modeled in the response of cotton to drought stress. qRTPCR analysis of the materials and population parents proved that this gene plays a role in the drought stress response in cotton. Virus-induced gene silencing proved the importance of this gene in drought-sensitive materials, and drought-resistance-related marker genes also proved that the GhGF14-30 gene may play an important role in the ABA and SOS signaling pathways. This study provides a basis for mining drought stress response functional genes in cotton and lays the foundation for the molecular mechanism of the GhGF14-30 gene in response to drought stress in cotton.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Locus de caractère quantitatif / Sécheresses Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Plant Sci Année: 2023 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Locus de caractère quantitatif / Sécheresses Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Plant Sci Année: 2023 Type de document: Article Pays d'affiliation: Chine