Evidence map›Paper›PMID 41281310›Full record

ArticleFrontiers in plant science2025

Transcriptome and WGCNA analysis revealed the molecular mechanism of drought resistance in new sugarcane varieties.

Ziyuan Wang, Shihang Yin, Yanli Wei, Baoshan Chen, Wenlan Li

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Ziyuan WangState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, Guangxi, China.
Shihang YinState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, Guangxi, China.
Yanli WeiState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, Guangxi, China.
Baoshan ChenState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, Guangxi, China.
Wenlan LiState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Drought stress is a major abiotic factor limiting sugarcane productivity. However, the molecular mechanisms conferring drought resistance in sugarcane are not fully elucidated, which hinders the breeding of resilient varieties. Methods: Three experimental sugarcane varieties were subjected to polyethylene glycol (PEG6000)-simulated drought stress. Subsequent transcriptomic analysis was performed by integrating second-generation (Illumina) and third-generation (PacBio) sequencing technologies. This approach yielded a comprehensive transcriptome landscape. Bioinformatics analyses included gene annotation, differential expression screening, Weighted Gene Co-expression Network Analysis (WGCNA), and network visualization using Cytoscape. Results: Sequencing generated a total transcript length of 77,930,985 bp, identifying 40,359 unique genes, with 38,791 successfully annotated. Under drought stress, the variety ZZ9 exhibited significant enrichment and upregulation of metabolic pathways related to photosynthesis, plant hormones, polysaccharide synthesis, and amino acid metabolism. Several transcription factor families, including bHLH, bZIP, ERF, NAC, MYB, and GRAS, were drought-inducible. WGCNA identified 22 co-expression modules, with the MEten module showing the highest correlation with drought response. Key hub genes within MEten included NACA1, ABA-related genes, ERA1, PER70, ATX, two superoxide dismutase genes (SODF1 and SODF2), two late embryogenesis abundant (LEA) genes, and two lipoxygenase (LOX) genes. Furthermore, Cytoscape-based analysis pinpointed the novel gene PSY1 and two additional candidates potentially involved in photosynthetic regulation during drought. Discussion: By integrating multi-platform transcriptomics and systems biology approaches, this study delineates potential molecular regulatory networks underlying drought resistance in sugarcane. The identified hub genes and pathways provide critical resources for future functional genomics studies and molecular breeding programs aimed at enhancing drought tolerance in sugarcane.

Indexed as

drought resistancehub genessugarcanetranscriptomeWGCNA

Identifiers

PMID41281310
PMCPMC12636891

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