中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparative analysis of physiological, agronomic and transcriptional responses to drought stress in wheat local varieties from Mongolia and Northern China

文献类型:期刊论文

作者Nergui, Khandmaa4; Jin, Songsong4; Zhao, Li4; Liu, Xiaoqiang; Xu, Tao3,4; Wei, Jun2,4; Chen, Xiuxiu4; Yang, Yang4; Li, Hui4; Liu, Yang4
刊名PLANT PHYSIOLOGY AND BIOCHEMISTRY
出版日期2022
卷号170页码:23-35
ISSN号0981-9428
关键词Wheat Drought stress Yield Drought resistance indices Transcriptome
DOI10.1016/j.plaphy.2021.11.026
文献子类Article
英文摘要Drought is one of the major abiotic stresses that threaten wheat production worldwide, especially in the Mongolian Plateau and adjacent regions. This study aims to find local wheat varieties with high yields and drought resistance at various developmental stages based on agronomic traits and drought resistance indices analysis and explore the underlining molecular mechanisms by transcriptome analysis. Our results revealed that drought stress started at the seedling stage has a greater impact on crop yields. Four types of drought responses were found among the tested varieties. Type 1 and type 2 show low tolerance to drought stress despite high or low yield in control condition, type 3 exhibits high yield under control condition but dropped significantly after drought, and type 4 displays relatively high and stable yields under control and drought conditions. Transcriptome analysis performed with the representative varieties of the four types revealed GO terms and KEGG pathways enriched among drought-triggered differential expressed genes (DEGs). A network containing 18 modules was constructed using weighted gene co-expression analysis (WGCNA). Ten modules were significantly correlated to yield by module-trait correlation, and 3 modules showed Darkhan 144 specific gene expression patterns. C2H2 zinc finger factor-recognized motifs were identified from the promoters of genes in these modules. qRT-PCR confirmed several key DEGs with specific expression patterns and physiological measurements validated the relatively low oxidative damage and high antioxidant capacity in the drought tolerant variety Dankhan 144. These findings provide an important basis for local agriculture and breeding of drought-tolerant high yield wheat varieties.
学科主题Plant Sciences
电子版国际标准刊号1873-2690
出版地ISSY-LES-MOULINEAUX
WOS关键词ZINC-FINGER PROTEIN ; SCREENING TECHNIQUES ; GRAIN-YIELD ; TOLERANCE ; GENOTYPES ; DEHYDRATION ; SELECTION
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
WOS记录号WOS:000726071000003
资助机构Chinese Academy of Sciences (CAS) Strategic Priority Research Program [XDA24010100] ; National Key R&D Program of China [2021YFE0102600] ; CAS-TWAS President's Fellowship Programme
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28553]  
专题中科院植物分子生理学重点实验室
作者单位1.Chinese Acad Sci, Innovat Acad Seed Design, Beijing 100101, Peoples R China
2.Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou 510080, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Bot, Key Lab Plant Resources, Beijing 100093, Peoples R China
5.Chinese Acad Sci, Inst Bot, Key Lab Plant Mol Physiol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Nergui, Khandmaa,Jin, Songsong,Zhao, Li,et al. Comparative analysis of physiological, agronomic and transcriptional responses to drought stress in wheat local varieties from Mongolia and Northern China[J]. PLANT PHYSIOLOGY AND BIOCHEMISTRY,2022,170:23-35.
APA Nergui, Khandmaa.,Jin, Songsong.,Zhao, Li.,Liu, Xiaoqiang.,Xu, Tao.,...&Deng, Xin.(2022).Comparative analysis of physiological, agronomic and transcriptional responses to drought stress in wheat local varieties from Mongolia and Northern China.PLANT PHYSIOLOGY AND BIOCHEMISTRY,170,23-35.
MLA Nergui, Khandmaa,et al."Comparative analysis of physiological, agronomic and transcriptional responses to drought stress in wheat local varieties from Mongolia and Northern China".PLANT PHYSIOLOGY AND BIOCHEMISTRY 170(2022):23-35.

入库方式: OAI收割

来源:植物研究所

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