Evidence map›Paper›PMID 41670724›Full record

ArticlePlant cell reports2026

Physiological, metabolic, and transcriptional responses of contrasting sorghum (Sorghum bicolor (L.) Moench) cultivars to drought.

Chunlei Zou, Junming Ma, Tao Jin, Xinyu Wang, Xiaoxia Shi, Yuning Hao, Zihao Guo, Xiaolong Wei, Chunlai Zhang, Zhijia Gai

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Article in Plant cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chunlei ZouCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Junming MaCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Tao JinCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Xinyu WangCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Xiaoxia ShiCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Yuning HaoCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Zihao GuoCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Xiaolong WeiCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Chunlai ZhangCollege of Agronomy, Shanxi Agricultural University, Taigu, 030801, Shanxi, China. chunlaiz@hotmail.com.
Zhijia GaiJiamusi Branch, Heilongjiang Academy of Agricultural Sciences, Jiamusi, 154000, China. gaizhijia@163.com.

Funding

Shanxi Provincial Basic Research Program Project 202203021222139
6 · The paper itself

Abstract

key messageMetabolomics and transcriptome profiling were used to identify drought-responsive metabolites and genes of two sorghum cultivars. Respiratory metabolism may be closely associated with the enhanced stress resistance of sorghum. Our results provide a valuable resource for the breeding of new germplasms with strong drought tolerance. Suitable drought stress can enhance the accumulation of specific metabolites in plants. Sorghum, a drought-tolerant grain crop, can be used as the optimal material to analyze its drought tolerance mechanisms. The purpose of this study is to explore the metabolic and transcriptional regulatory mechanisms of sorghum in response to drought stress. In this study, physiological factors, metabolome, and transcriptome of sorghum cultivars with contrasting drought resistance (SCS, Sanchisan; JL, Jinliang 5) were analyzed upon drought stress. The results showed that under drought stress, soluble sugar contents in SCS leaves significantly increased by 112.2% and betaine and POD levels in JL leaves also significantly increased. According to metabolome analysis, a total of 374 differentially accumulated metabolites (DAMs) were obtained. For example, the content of 3-hydroxy-3-methylbutanoic acid in SCS increased by over 16-fold and that of 1,2-dipalmitoylphosphatidylglycerol in JL increased by over fourfold under drought stress. In addition, a total of 7031 differentially expressed genes (DEGs) were obtained, and there were 306 common DEGs between SCS and JL, 6229 unique to SCS, while 496 unique to JL. In the KEGG analysis, DEGs in both SCS and JL were significantly enriched in "plant hormone signaling". Chloroplastic beta-amylase 1 (EC3.2.1.2) gene LOC8070506 and alpha-glucosidase (EC3.2.1.20) gene LOC8061607 levels increased in both cultivars under drought conditions, and their levels were higher in SCS than in JL. These findings enhance our understanding of the molecular mechanism of drought tolerance in sorghum.

Indexed as

SorghumDrought ResistanceDroughtsGene Expression ProfilingGene Expression Regulation, PlantMetabolomePlant LeavesStress, PhysiologicalTranscriptomeDrought stressMetabolomeRespiration metabolismSorghumTranscriptome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.