Evidence map›Paper›PMID 37848871›Full record

ArticleBMC plant biology2023

Dynamic characteristics and functional analysis provide new insights into the role of GauERF105 for resistance against Verticillium dahliae in cotton.

Yanqing Wang, Muhammad Jawad Umer, Xiaoyan Cai, Mengying Yang, Yuqing Hou, Yanchao Xu, Raufa Batool, Teame Gereziher Mehari, Jie Zheng, Yuhong Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. 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
1.5field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

14 authors at 5 institutions in 2 countries.

Yanqing Wang *National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Muhammad Jawad Umer *National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Xiaoyan Cai *National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Mengying YangNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Yuqing HouNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Yanchao XuNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Raufa BatoolState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100000, China.
Teame Gereziher MehariNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Jie ZhengNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Yuhong WangNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Heng WangNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China.
Zhikun LiCollege of Agronomy, Hebei Agricultural University/North China Key Laboratory for Crop Germplasm Resources of Ministry of Education, Baoding, 071001, Hebei, China.
Zhongli ZhouNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China. zhonglizhou@163.com.
Fang LiuNational Key Laboratory of Cotton Bio-Breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, 455000, China. liufcri@163.com.ORCID http://orcid.org/0000-0002-1900-5798
Chinese Academy of Agricultural Sciences · CNHebei Agricultural University · CNZhengzhou University · CNCotton Research Institute · CNInstitute of Plant Protection · CN

Funding

Central Public-interest Scientific Institution Basal Research Fund 1610162021030Central Public-interest Scientific Institution Basal Research Fund 1610162023008Central Public-interest Scientific Institution Basal Research Fund 1610162023030Nanfan Special Project of National Nanfan Research Institute of Chinese Academy of Agriculture Sciences YBXM2309Nanfan Special Project of National Nanfan Research Institute of Chinese Academy of Agriculture Sciences YBXM2324National Natural Science Foundation of China 32072023National Natural Science Foundation of China 32171994National Natural Science Foundation of China 32272090
6 · The paper itself

Abstract

backgroundThe cotton industry suffers significant yield losses annually due to Verticillium wilt, which is considered the most destructive disease affecting the crop. However, the precise mechanisms behind this disease in cotton remain largely unexplored.

methodsOur approach involved utilizing transcriptome data from G. australe which was exposed to Verticillium dahliae infection. From this data, we identified ethylene-responsive factors and further investigated their potential role in resistance through functional validations via Virus-induced gene silencing (VIGS) in cotton and overexpression in Arabidopsis.

resultsA total of 23 ethylene response factors (ERFs) were identified and their expression was analyzed at different time intervals (24 h, 48 h, and 72 h post-inoculation). Among them, GauERF105 was selected based on qRT-PCR expression analysis for further investigation. To demonstrate the significance of GauERF105, VIGS was utilized, revealing that suppressing GauERF105 leads to more severe infections in cotton plants compared to the wild-type. Additionally, the silenced plants exhibited reduced lignin deposition in the stems compared to the WT plants, indicating that the silencing of GauERF105 also impacts lignin content. The overexpression of GauERF105 in Arabidopsis confirmed its pivotal role in conferring resistance against Verticillium dahliae infection. Our results suggest that WT possesses higher levels of the oxidative stress markers MDA and H

conclusionsOur findings provide confirmation that GauERF105 is a crucial candidate in the defense mechanism of cotton against Verticillium dahliae invasion, and plays a pivotal role in this process. These results have the potential to facilitate the development of germplasm resistance in cotton.

Indexed as

ArabidopsisAscomycotaVerticilliumDisease ResistanceEthylenesGene Expression Regulation, PlantGossypiumHydrogen PeroxideLigninPlant DiseasesPlant ProteinsEthylenesHydrogen PeroxideLigninPlant ProteinsCottonERFOverexpressionVerticillium wiltVIGS

Identifiers

PMID37848871
PMCPMC10583443
OpenAlexW4387728510

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.