Evidence map›Paper›PMID 26106404›Full record

ArticleFrontiers in plant science2015

Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing.

Guangxuan Tan, Kun Liu, Jingmin Kang, Kedong Xu, Yi Zhang, Lizong Hu, Ju Zhang, Chengwei Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 79 citations in OpenAlex.

  1. From Defense Executor to Engineering Target: Harnessing Lignin for Crop Resistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  3. Transcriptomic Approach for Investigation ofCurrent issues in molecular biology · 2024
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  4. Genomic insights intoFrontiers in microbiology · 2024
    Review
  5. EndophyticFrontiers in microbiology · 2024
    Article
  6. Transcriptome Analysis Reveals the Defense Mechanism of Cotton againstInternational journal of molecular sciences · 2023
    Article
  7. Article
  8. Transcriptome Analysis of Wheat-Plants (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Identification of tomato root growth regulatory genes and transcription factors through comparative transcriptomic profiling of different tissues.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  18. Article
  19. Article
  20. Review
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

8 authors at 1 institution in 1 country.

Guangxuan TanKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Kun LiuKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Jingmin KangKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Kedong XuKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Yi ZhangKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Lizong HuKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Ju ZhangKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Chengwei LiKey Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University Zhoukou, China.
Zhoukou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tomato Verticillium wilt is a soil-borne vascular disease caused by the necrotrophic fungus Verticillium dahliae. Although some understanding of plant defense mechanisms against V. dahliae infection has been gained for incompatible interactions, including identification of inducible resistant genes and defense signaling pathways, the genes and signaling pathways involved in the compatible interaction remain unclear. To investigate the molecular basis of the compatible interaction between tomato and V. dahliae, transcriptomes of V. dahliae infected tomatoes were compared to those of a control group. A total of approximately 25 million high-quality reads were generated by means of the RNA sequencing (RNA-seq) method. The sequence reads were aligned to the tomato reference genome and analyzed to measure gene expression levels, and to identify alternative splicing events. Comparative analysis between the two samples revealed 1,953 significantly differentially expressed genes (DEGs), including 1,281 up-regulated and 672 down-regulated genes. The RNA-Seq output was confirmed using RT-qPCR for 10 selected genes. The Nr, Swiss-Prot, Gene Ontology (GO), Clusters of Orthologous Groups (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to annotate DEG functions. Of the 1,953 DEGs identified, 1,953, 1,579, 1,739, 862, and 380 were assigned by Nr, Swiss-Prot, GO, COG, and KEGG, respectively. The important functional groups identified via GO and COG enrichment were those responsible for fundamental biological regulation, secondary metabolism, and signal transduction. Of DEGs assigned to 87 KEGG pathways, most were associated with phenylpropanoid metabolism and plant-pathogen interaction pathways. Most of the DEGs involved in these two pathways were up-regulated, and may be involved in regulating the tomato-V. dahliae compatible interaction. The results will help to identify key susceptible genes and contribute to a better understanding of the mechanisms of tomato susceptible response to V. dahliae.

Indexed as

compatible interactionRNA sequencingtomatotranscriptome analysisVerticillium dahliae

Identifiers

PMID26106404
PMCPMC4458571
OpenAlexW1516892739

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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.