Evidence map›Paper›PMID 41296455›Full record

ArticleCurrent issues in molecular biology2025

Integrated Transcriptomic and Metabolomic Analyses Reveal Key Responses of Cotton to Salt Stress Post-Germination.

Yanzhen Liu, Yaxin Shi, Ren Xiang, Jianduo Bai, Jingshun Wang, Xianliang Zhang

Abstract read
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Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yanzhen LiuCollege of Biology and Food Engineering, Anyang Institute of Technology, Anyang 455000, China.
Yaxin ShiSchool of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang 453003, China.
Ren XiangCollege of Biology and Food Engineering, Anyang Institute of Technology, Anyang 455000, China.
Jianduo BaiWestern Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Changji 831100, China.
Jingshun WangCollege of Biology and Food Engineering, Anyang Institute of Technology, Anyang 455000, China.
Xianliang ZhangCollege of Biology and Food Engineering, Anyang Institute of Technology, Anyang 455000, China.ORCID 0000-0002-2542-1528

Funding

Autonomous Region Science and Technology Commissioner Rural Science and Technology En-trepreneurship Action Project 20251135539Collaborative Innovation Center for Taihang Mountain Forestry and Grassland Resource Con-servation and Utilization of Anyang Institute of Technology XTCX202402Natural Science Foundation of Xinjiang Uygur Autonomous Region 2023D01A015
6 · The paper itself

Abstract

Salt stress is a major environmental constraint that severely limits cotton seed germination. However, the regulatory mechanisms governing salt stress responses during the post-germination stage remain largely unclear. Here, we employed an integrated transcriptomic and metabolomic approach to investigate salt-responsive mechanisms in the salt-tolerant cotton cultivar ST022-1056m5 (ST) following exposure to 150 mM NaCl. Our analysis identified 4368 differentially expressed genes (DEGs) and 441 differentially accumulated metabolites (DAMs) under salt stress conditions. Multi-omics integration revealed that alpha-linolenic acid and linoleic acid metabolic pathways were particularly responsive to salt stress. In the α-linolenic acid pathway, salt stress triggered substantial accumulation of jasmonic acid (JA) precursors and concurrent upregulation of key JA biosynthetic genes. Simultaneously, the linoleic acid metabolism pathway exhibited increased metabolite levels and enhanced the relative gene expression. These findings provide compelling evidence that alpha-linolenic acid and linoleic acid metabolism pathways collectively modulate post-germination salt stress responses in cotton, offering new insights into the molecular mechanisms underlying salt tolerance and presenting potential targets for breeding resilient cotton varieties.

Indexed as

cottonmetabolomicssalt stressseed germinationtranscriptome

Identifiers

PMID41296455
PMCPMC12651791

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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.