Evidence map›Paper›PMID 38167492›Full record

ArticleScientific data2024

Transcriptomic datasets of Verticillium wilt resistant and non-resistant Gossypium barbadense varieties during pathogen inoculation.

Xianpeng Xiong, Cong Sun, Bin Chen, Jie Sun, Cong Fei, Fei Xue

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Chitinase GeneInternational journal of molecular sciences · 2024
    Article
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

6 authors.

Xianpeng Xiong *Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Cong Sun *State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Bin ChenKey Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi, 832000, China.
Jie SunKey Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi, 832000, China.
Cong FeiDepartment of Life Sciences, Yuncheng University, Yuncheng, 044000, China. 15299959897@163.com.
Fei XueKey Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi, 832000, China. xuefei@shzu.edu.cn.

Funding

China Postdoctoral Science Foundation No. 2021M703552National Natural Science Foundation of China (National Science Foundation of China) 32072111
6 · The paper itself

Abstract

Cotton is a significant cash crop and the primary source of natural fiber globally. Among the numerous diseases encountered in cotton production, Verticillium wilt is one of the most serious, caused by the pathogen Verticillium dahliae (V. dahliae). Unfortunately, there are no effective targeted methods to combat this disease. Genomic resources for Verticillium wilt resistance primarily exist in Gossypium barbadense (G. barbadense). Regrettably, there have been limited transcriptomic comparisons between V. dahliae-resistant and -susceptible varieties of G. barbadense due to the scarcity of susceptible resources. In this study, we conducted a transcriptome analysis on both V. dahliae-resistant and -susceptible varieties of G. barbadense at the 0, 12, 24 and 48 hours after V. dahliae inoculation. This comparative transcriptome analysis yielded high-quality data and offered new insights into the molecular mechanisms underlying cotton's resistance against this destructive pathogen.

Indexed as

GossypiumVerticilliumDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantPlant Diseases

Identifiers

PMID38167492
PMCPMC10762110

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.