Evidence map›Paper›PMID 39343881›Full record

ArticleBMC plant biology2024

Pan-genome analysis of GT64 gene family and expression response to Verticillium wilt in cotton.

Zengqiang Zhao, Zongcai Zhu, Yang Jiao, Guoli Zhang

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Plants (Basel, Switzerland) · 2025
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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

4 authors.

Zengqiang ZhaoBiotechnology Research Institute, Xinjiang Academy of Agricultural and Reclamation, 221 Wuyi Highway, Shihezi, Xinjiang, 832000, China.
Zongcai ZhuBiotechnology Research Institute, Xinjiang Academy of Agricultural and Reclamation, 221 Wuyi Highway, Shihezi, Xinjiang, 832000, China.
Yang JiaoInstitute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China. jycotton@163.com.
Guoli ZhangBiotechnology Research Institute, Xinjiang Academy of Agricultural and Reclamation, 221 Wuyi Highway, Shihezi, Xinjiang, 832000, China. zglnky028@126.com.

Funding

the National Key Laboratory of Cotton Bio-breeding and Integrated Utilization CB2023A19the Project of Innovation Team Building in Key Areas of Xinjiang Production and Construction Corps 2019CB008
6 · The paper itself

Abstract

backgroundThe GT64 subfamily, belonging to the glycosyltransferase family, plays a critical function in plant adaptation to stress conditions and the modulation of plant growth, development, and organogenesis processes. However, a comprehensive identification and systematic analysis of GT64 in cotton are still lacking.

resultsThis study used bioinformatics techniques to conduct a detailed investigation on the GT64 gene family members of eight cotton species for the first time. A total of 39 GT64 genes were detected, which could be classified into five subfamilies according to the phylogenetic tree. Among them, six genes were found in upland cotton. Furthermore, investigated the precise chromosomal positions of these genes and visually represented their gene structure details. Moreover, forecasted cis-regulatory elements in GhGT64s and ascertained the duplication type of the GT64 in the eight cotton species. Evaluation of the Ka/Ks ratio for similar gene pairs among the eight cotton species provided insights into the selective pressures acting on these homologous genes. Additionally, analyzed the expression profiles of the GT64 gene family. Overexpressing GhGT64_4 in tobacco improved its disease resistance. Subsequently, VIGS experiments conducted in cotton demonstrated reduced disease resistance upon silencing of the GhGT64_4, may indicate its involvement in affecting lignin and jasmonic acid biosynthesis pathways, thus impacting cotton resistance. Weighted Gene Co-expression Network Analysis (WGCNA) revealed an early immune response against Verticillium dahliae in G. barbadense compared to G. hirsutum. Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) analysis indicated that some GT64 genes might play a role under various biotic and abiotic stress conditions.

conclusionsThese discoveries enhance our knowledge of GT64 family members and lay the groundwork for future investigations into the disease resistance mechanisms of this gene in cotton.

Indexed as

Disease ResistanceGossypiumMultigene FamilyPhylogenyPlant DiseasesVerticilliumGene Expression Regulation, PlantGenes, PlantGenome, PlantGlycosyltransferasesPlant ProteinsGlycosyltransferasesPlant ProteinsExpression patternGT64Transgenic tobaccoUpland cottonVIGSWGCNA

Identifiers

PMID39343881
PMCPMC11440917

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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.