Evidence map›Paper›PMID 38107578›Full record

ArticlePeerJ2023

Transcriptomic and metabolomic differences between banana varieties which are resistant or susceptible to Fusarium wilt.

Dandan Tian, Liuyan Qin, Krishan K Verma, Liping Wei, Jialin Li, Baoshen Li, Wei Zhou, Zhangfei He, Di Wei, Sumei Huang and 4 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Adaptive Responses of Tropical Crops: A Multi-Scale Omics Integrated Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Review
  4. Banana breeding by genome design.Journal of integrative plant biology · 2025
    Review
  5. Article
  6. 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

14 authors at 2 institutions in 1 country.

Dandan TianBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Liuyan QinBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Krishan K VermaSugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China.ORCID 0000-0002-5501-7905
Liping WeiBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Jialin LiBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Baoshen LiBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Wei ZhouBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Zhangfei HeBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Di WeiBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Sumei HuangBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Shengfeng LongBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Quyan HuangBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Chaosheng LiBiotechnology Research Institute,Guangxi Academy of Agricultural Sciences, Nanning, China.
Shaolong WeiGuangxi Subtropical Crops Research Institute, Naning, China.
Guangxi Academy of Agricultural Science · CNGuangxi Subtropical Crops Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fusarium wilt, caused by Methods: To better understand the defense response of banana to Fusarium wilt, the transcriptome and metabolome profiles of the roots from resistant and susceptible bananas inoculated with Foc4 were compared. Results: After Foc4 inoculation, there were 172 and 1,856 differentially expressed genes (DEGs) in the Foc4-susceptible variety (G1) and Foc4-resistant variety (G9), respectively. In addition, a total of 800 DEGs were identified between G1 and G9, which were mainly involved in the oxidation-reduction process, cell wall organization, phenylpropanoid biosynthesis, and lipid and nitrogen metabolism, especially the DEGs of Macma4_08_g22610, Macma4_11_g19760, and Macma4_03_g06480, encoding non-classical arabinogalactan protein; GDSL-like lipase; and peroxidase. In our study, G9 showed a stronger and earlier response to Foc4 than G1. As the results of metabolomics, lipids, phenylpropanoids and polyketides, organic acids, and derivatives played an important function in response to Fusarium wilt. More importantly, Macma4_11_g19760 might be one of the key genes that gave G9 more resistance to Foc4 by a lowered expression and negative regulation of lipid metabolism. This study illustrated the difference between the transcriptomic and metabolomic profiles of resistant and susceptible bananas. These results improved the current understanding of host-pathogen interactions and will contribute to the breeding of resistant banana plants.

Indexed as

FusariumMusaDisease SusceptibilityGene Expression ProfilingPlant BreedingTranscriptomeBreedingFoc4Musa sapientumPathogenesisResistance mechanism

Identifiers

PMID38107578
PMCPMC10722978
OpenAlexW4389623219

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.