Evidence map›Paper›PMID 29162860›Full record

ArticleScientific reports2017

Transcriptomics reveals multiple resistance mechanisms against cotton leaf curl disease in a naturally immune cotton species, Gossypium arboreum.

Rubab Zahra Naqvi, Syed Shan-E-Ali Zaidi, Khalid Pervaiz Akhtar, Susan Strickler, Melkamu Woldemariam, Bharat Mishra, M Shahid Mukhtar, Brian E Scheffler, Jodi A Scheffler, Georg Jander and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.6field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 83 citations in OpenAlex.

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  10. A comprehensive review onFrontiers in genetics · 2024
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  18. Study ofLife (Basel, Switzerland) · 2021
    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

13 authors at 5 institutions in 3 countries.

Rubab Zahra NaqviAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, Faisalabad, Punjab, Pakistan.
Syed Shan-E-Ali ZaidiAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, Faisalabad, Punjab, Pakistan.ORCID 0000-0002-2976-4624
Khalid Pervaiz AkhtarNuclear Institute for Agriculture & Biology (NIAB), Jhang Road, Faisalabad, Punjab, Pakistan.
Susan StricklerBoyce Thompson Institute, 533 Tower Road, Cornell University, Ithaca, NY, USA.
Melkamu WoldemariamBoyce Thompson Institute, 533 Tower Road, Cornell University, Ithaca, NY, USA.
Bharat MishraDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
M Shahid MukhtarDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Brian E SchefflerGenomics and Bioinformatics Research Unit (USDA-ARS), Stoneville, MS, USA.ORCID 0000-0003-1968-8952
Jodi A SchefflerCrop Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Stoneville, MS, USA.
Georg JanderBoyce Thompson Institute, 533 Tower Road, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-9675-934X
Lukas A MuellerBoyce Thompson Institute, 533 Tower Road, Cornell University, Ithaca, NY, USA.
Muhammad AsifAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, Faisalabad, Punjab, Pakistan.
Shahid MansoorAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, Faisalabad, Punjab, Pakistan. shahidmansoor7@gmail.com.
Cornell University · USNational Institute for Biotechnology and Genetic Engineering · PKAgricultural Research Service · USUniversity of Alabama at Birmingham · USNuclear Institute for Agriculture and Biology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton leaf curl disease (CLCuD), caused by cotton leaf curl viruses (CLCuVs), is among the most devastating diseases in cotton. While the widely cultivated cotton species Gossypium hirsutum is generally susceptible, the diploid species G. arboreum is a natural source for resistance against CLCuD. However, the influence of CLCuD on the G. arboreum transcriptome and the interaction of CLCuD with G. arboreum remains to be elucidated. Here we have used an RNA-Seq based study to analyze differential gene expression in G. arboreum under CLCuD infestation. G. arboreum plants were infested by graft inoculation using a CLCuD infected scion of G. hirsutum. CLCuD infested asymptomatic and symptomatic plants were analyzed with RNA-seq using an Illumina HiSeq. 2500. Data analysis revealed 1062 differentially expressed genes (DEGs) in G. arboreum. We selected 17 genes for qPCR to validate RNA-Seq data. We identified several genes involved in disease resistance and pathogen defense. Furthermore, a weighted gene co-expression network was constructed from the RNA-Seq dataset that indicated 50 hub genes, most of which are involved in transport processes and might have a role in the defense response of G. arboreum against CLCuD. This fundamental study will improve the understanding of virus-host interaction and identification of important genes involved in G. arboreum tolerance against CLCuD.

Indexed as

BegomovirusCluster AnalysisDisease ResistanceGene Expression Regulation, PlantGene Regulatory NetworksGenes, EssentialGenes, PlantGossypiumMetabolic Networks and PathwaysOxidative StressPlant DiseasesPlant Growth RegulatorsPlant ImmunityPlant ProteinsReproducibility of ResultsSignal TransductionPlant Growth RegulatorsPlant Proteins

Identifiers

PMID29162860
PMCPMC5698292
OpenAlexW2769150873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.