Evidence map›Paper›PMID 41721231›Full record

ArticleBMC genomics2026

Global profiling of alternative splicing landscapes in response to cold stress during the cotyledon stage in cotton.

Zhao Geng, Jianguang Liu, Guiyuan Zhao, Yongping Zhou, Tianyu Feng, Xiangli Geng, Xu Liu, Xingyu Liu, Hanshuang Zhang, Yongqiang Wang

Abstract read
In one paragraph

Article in BMC genomics, 2026. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

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

10 authors.

Zhao GengInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Jianguang LiuInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Guiyuan ZhaoInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Yongping ZhouInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Tianyu FengInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Xiangli GengInstitute of Grain and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050000, China.
Xu LiuInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China.
Xingyu LiuCollege of Food Science and Biology, Hebei University of Science and Technology, Shijiazhuang, 051432, China.
Hanshuang ZhangInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China. hanshuangzhang@haafs.org.
Yongqiang WangInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area/Hebei Key Laboratory of Cotton Bio-breeding and Cultivation Physiology, Ministry of Agriculture and Rural Affairs, Shijiazhuang, 050000, China. wangyongqiang@haafs.org.

Funding

Science and Technology Innovation Special Project of Hebei Academy of Agricultural and Forestry Sciences 2022KJCXZX-MHS-5
6 · The paper itself

Abstract

backgroundUpland cotton (Gossypium hirsutum L.) is the most important natural fibre crop worldwide. Low-temperature chilling injury during the cotyledon stage severely affects the growth of cotton seedlings. Alternative splicing (AS) plays a significant role in plant responses to stress conditions. However, little is known about the role of AS in response to cold stress in cotyledonary cotton. In this study, we employed nanopore full-length transcriptome sequencing technology to analyse cotton seedlings at the cotyledon stage under low-temperature stress at different time points, to identify AS events, associated key genes, and major pathways involved.

resultsWhen cotton cotyledon-stage seedlings were subjected to cold treatment for 24 h, the seedlings exhibited significant changes in internal physiological indicators while showing no notable phenotypic alterations. Using nanopore full-length transcriptome sequencing, we obtained 64,517 nonredundant unique transcript sequences and identified a total of 21,227 AS events. The genes associated with differentially alternative splicing (DAS) events included primarily the ROS-related genes ALD, CAT, ACX, AGT, and SOD. A total of 60 genes associated with both the CBF-dependent and CBF-independent pathways were identified among the differentially expressed genes (DEGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of both DEGs and DAS genes revealed that plant hormone signal transduction was a shared pathway, primarily involving the auxin (IAA) related genes IAA16 and IAA4.

conclusionsThese findings suggest that during the cotyledon stage of cotton, by integrating C-repeat Binding Factor (CBF) dependent and CBF independent transcriptional regulatory networks, such as those involving IAA as a hub, cotton coordinately regulates gene expression and post-transcriptional splicing of downstream physiological processes such as antioxidation, thereby precisely balancing growth inhibition and cold resistance activation. Our study improves the understanding of the role of AS genes in regulating the cold stress response in cotton .

Indexed as

Alternative SplicingCold-Shock ResponseCotyledonGene Expression ProfilingGossypiumCold TemperatureGene Expression Regulation, PlantPlant ProteinsTranscriptomePlant ProteinsCold stressCottonCotyledon stageNanopore full-length transcriptome

Identifiers

PMID41721231
PMCPMC13023153

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.