Evidence map›Paper›PMID 24314117›Full record

ArticleBMC genomics2013

Analysis of sea-island cotton and upland cotton in response to Verticillium dahliae infection by RNA sequencing.

Quan Sun, Huaizhong Jiang, Xiaoyan Zhu, Weina Wang, Xiaohong He, Yuzhen Shi, Youlu Yuan, Xiongming Du, Yingfan Cai

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Natural SNP Variation in GbOSM1 Promotor Enhances Verticillium Wilt Resistance in Cotton.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Article
  8. Positive roles of the CaMolecular plant pathology · 2024
    Article
  9. Article
  10. Article
  11. Transcriptome Analysis Reveals the Defense Mechanism of Cotton againstInternational journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. The Respiratory Burst Oxidase Homolog Protein D (International journal of molecular sciences · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Transcriptome Analysis and RNA Interference RevealFrontiers in plant science · 2021
    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

9 authors.

Quan Sun
Huaizhong Jiang
Xiaoyan Zhu
Weina Wang
Xiaohong He
Yuzhen Shi
Youlu Yuan
Xiongming Du
Yingfan CaiState Key Laboratory of Cotton Biology, Henan Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng 475004, China. yingfancai@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCotton Verticillium wilt is a serious soil-borne vascular disease that causes great economic loss each year. However, due to the lack of resistant varieties of upland cotton, the molecular mechanisms of resistance to this disease, especially to the pathogen Verticillium dahliae, remain unclear.

resultsWe used the RNA-seq method to research the molecular mechanisms of cotton defence responses to different races of Verticillium dahliae by comparing infected sea-island cotton and upland cotton. A total of 77,212 unigenes were obtained, and the unigenes were subjected to BLAST searching and annotated using the GO and KO databases. Six sets of digital gene expression data were mapped to the reference transcriptome. The gene expression profiles of cotton infected with Verticillium dahliae were compared to those of uninfected cotton; 44 differentially expressed genes were identified. Regarding genes involved in the phenylalanine metabolism pathway, the hydroxycinnamoyl transferase gene (HCT) was upregulated in upland cotton whereas PAL, 4CL, CAD, CCoAOMT, and COMT were upregulated in sea-island cotton. Almost no differentially expressed genes in this pathway were identified in sea-island cotton and upland cotton when they were infected with V. dahliae V991 and V. dahliae D07038, respectively.

conclusionsOur comprehensive gene expression data at the transcription level will help elucidate the molecular mechanisms of the cotton defence response to V. dahliae. By identifying the genes involved in the defence response of each type of cotton to V. dahliae, our data not only provide novel molecular information for researchers, but also help accelerate research on genes involved in defences in cotton.

Indexed as

Gene Expression Regulation, PlantVerticilliumComputational BiologyDisease ResistanceGossypiumHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationPlant DiseasesPlant ProteinsReproducibility of ResultsSequence Analysis, RNASignal TransductionTranscriptomePlant Proteins

Identifiers

PMID24314117
PMCPMC3878982

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LicenceCC BY
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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.