Evidence map›Paper›PMID 41013200›Full record

ArticleBMC genomics2025

Transcriptome analysis reveals key defense genes associated with resistance to banana blood disease.

Thanwanit Thanyasiriwat, Aphidech Sangdee, Ladawan Rattanapolsan, Praphat Kawicha, Araya Arjcharoen Theanhom, Ratri Boonruangrod, Pumipat Tongyoo

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Thanwanit Thanyasiriwat *Plant Genome and Disease Research Unit, Department of Agriculture and Resources, Faculty of Natural Resources and Agro-Industry, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand.
Aphidech Sangdee *Department of Biology, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand.
Ladawan RattanapolsanPlant Genome and Disease Research Unit, Department of Agriculture and Resources, Faculty of Natural Resources and Agro-Industry, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand.
Praphat KawichaPlant Genome and Disease Research Unit, Department of Agriculture and Resources, Faculty of Natural Resources and Agro-Industry, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand.
Araya Arjcharoen TheanhomDepartment of Horticulture, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand.
Ratri BoonruangrodDepartment of Horticulture, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, Thailand.
Pumipat TongyooCenter for Agricultural Biotechnology, Kamphaeng Saen, Kamphaeng Saen Campus, Nakhon Pathom, Thailand. Pumipat.tong@ku.th.

Funding

Research Fund, Kasetsart University, fiscal year 2023 FF(KU)3.66
6 · The paper itself

Abstract

backgroundBananas are a globally significant crop, but their production is threatened by banana blood disease (BBD), caused by Ralstonia syzygii subsp. celebesensis (Rsc). While resistant cultivars like 'Khai Pra Ta Bong' (AAA genome) have been identified, the genetic basis of resistance remains unclear. This study uses RNA sequencing (RNA-seq) to investigate gene expression changes in 'Khai Pra Ta Bong' over seven days post-infection with Rsc isolate MY4101. Candidate genes associated with resistance were also evaluated in other cultivars, including resistant, moderately resistant, and highly susceptible cultivars.

resultsRNA-seq analysis identified several genes associated with BBD resistance mechanisms, showing significant upregulation as early as 12 h post-inoculation. Key molecular processes, including xyloglucan endotransglucosylase hydrolases, receptor-like kinases, and glycine-rich proteins, were enriched at 24 h post-inoculation, highlighting the activation of effector-triggered immunity (ETI). Quantitative real-time RT-PCR (qRT-PCR) validation further confirmed the differential expression of several key defense-related genes in other banana cultivars.

conclusionsThe study highlights the potential of these differentially expressed genes as genetic markers for BBD resistance, which could be valuable for breeding programs aimed at enhancing resistance in banana cultivars. These findings provide important insights into the molecular mechanisms of disease resistance and contribute to developing more efficient strategies for sustainable banana production and global food security.

Indexed as

Disease ResistanceGene Expression ProfilingMusaPlant DiseasesTranscriptomeGene Expression Regulation, PlantGenes, PlantDifferentially expressed genesDisease resistanceMusaRalstoniaTranscriptome

Identifiers

PMID41013200
PMCPMC12465310

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.