ArticleFunctional & integrative genomics2020
Deep RNA-seq analysis reveals key responding aspects of wild banana relative resistance to Fusarium oxysporum f. sp. cubense tropical race 4.
Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Banana breeding by genome design.Journal of integrative plant biology · 2025Review
- Reference genes for RT-qPCR analysis in Musa acuminata genotypes contrasting in resistance to Fusarium oxysporum f. sp. cubense subtropical race 4.Scientific reports · 2024Article
- Characterization of microRNAs and Target Genes inPlants (Basel, Switzerland) · 2023Article
- Review
- Transcriptome analysis reveals differential transcription in tomato (Solanum lycopersicum) following inoculation with Ralstonia solanacearum.Scientific reports · 2022Article
- Transcriptome Profiling of the Resistance Response ofInternational journal of molecular sciences · 2022Article
- Study on the differences of gene expression between pear and apple wild cultivation materials based on RNA-seq technique.BMC plant biology · 2021Article
- Improvements in the Resistance of the Banana Species to Fusarium Wilt: A Systematic Review of Methods and Perspectives.Journal of fungi (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
Abstract
Tropical race 4 of Fusarium oxysporum f. sp. cubense (FocTR4) is seriously threatening the banana industry worldwide. Resistant genotypes are present in wild relatives of banana, but little is known about the genetic and molecular mechanisms driving resistance responses. In this work, through in-depth expression analysis, we compared the responses of the resistant wild relative Musa acuminata ssp. burmanicoides (WTB) with the susceptible banana cultivar "Brizilian" (CAV, as it belongs to the Cavendish subgroup) to FocTR4 infection. Our findings showed that 1196 defense-related genes in the resistant WTB were differentially expressed genes (DEGs); only 358 defense-related DEGs were detected in CAV. DEGs related to pattern recognition receptors (PRRs) and disease resistance (R genes) were found in both genotypes, indicating the onset of both basal and specific defenses to FocTR4. Genes associated with cell wall modification exhibited a more remarkable upregulation in WTB than in CAV and might be involved in resistance during penetration steps. Our data also suggested that the high resistance of WTB is quantitatively driven with larger numbers and higher expression levels of defense-related DEGs. Fine-tuning studies to understand the resistance responses of WTB at early stages should be conducted to better support banana breeding programs. Further investigations are also required to validate the role of key genes screened in this study.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.