Evidence map›Paper›PMID 36674996›Full record

ArticleInternational journal of molecular sciences2023

Transcriptome Analysis Reveals the Defense Mechanism of Cotton against

Zili Feng, Feng Wei, Hongjie Feng, Yalin Zhang, Lihong Zhao, Jinglong Zhou, Jiatao Xie, Daohong Jiang, Heqin Zhu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.9field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Zili FengState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0002-5643-5420
Feng WeiState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Hongjie FengState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Yalin ZhangState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Lihong ZhaoState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Jinglong ZhouState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0002-3813-0201
Jiatao XieCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0003-1961-0338
Daohong JiangCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-3862-7461
Heqin ZhuState Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Cotton Research Institute · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Verticillium wilt is a kind of plant vascular disease caused by the soilborne fungus Verticillium dahliae, which severely limits cotton production. Our previous studies showed that the endophytic fungus Gibellulopsis nigrescens CEF08111 can effectively control Verticillium wilt and induce a defense response in cotton plants. However, the comprehensive molecular mechanism governing this response is not yet clear. To study the signaling mechanism induced by strain CEF08111, the transcriptome of cotton seedlings pretreated with CEF08111 was sequenced. The results revealed 249, 3559 and 33 differentially expressed genes (DEGs) at 3, 12 and 48 h post inoculation with CEF08111, respectively. At 12 h post inoculation with CEF08111, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that the DEGs were enriched mainly in the plant−pathogen interaction, mitogen-activated protein kinase (MAPK) signaling pathway-plant, and plant hormone signal transduction pathways. Gene ontology (GO) analysis revealed that these DEGs were enriched mainly in the following terms: response to external stimulus, systemic acquired resistance, kinase activity, phosphotransferase activity, xyloglucan: xyloglucosyl transferase activity, xyloglucan metabolic process, cell wall polysaccharide metabolic process and hemicellulose metabolic process. Moreover, many genes, such as calcium-dependent protein kinase (CDPK), flagellin-sensing 2 (FLS2), resistance to Pseudomonas syringae pv. maculicola 1(RPM1) and myelocytomatosis protein 2 (MYC2), that regulate crucial points in defense-related pathways were identified and may contribute to V. dahliae resistance in cotton. Seven DEGs of the pathway phenylpropanoid biosynthesis were identified by weighted gene co-expression network analysis (WGCNA), and these genes are related to lignin synthesis. The above genes were compared and analyzed, a total of 710 candidate genes that may be related to the resistance of cotton to Verticillium wilt were identified. These results provide a basis for understanding the molecular mechanism by which the biocontrol fungus CEF08111 increases the resistance of cotton to Verticillium wilt.

Indexed as

GossypiumVerticilliumAcremoniumAscomycotaDefense MechanismsDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantPlant DiseasesPlant ProteinsPlant ProteinsbiocontrolcottonGibellulopsis nigrescensinduced systemic resistancetranscriptomeVerticillium wili

Identifiers

PMID36674996
PMCPMC9863408
OpenAlexW4315781814

What OpenQuestion holds

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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 OpenQuestion graph.