Evidence map›Paper›PMID 42498984›Full record

ArticleThe New phytologist2026

TR4-triggered recruitment of suppressive rhizomicrobiome enhances Fusarium wilt resistance in banana.

Wenlong Zhang, Shengtao Xu, Hongwei Yu, Yun-Yue Wang, Juhua Liu, Sebastien Carpentier, Si-Jun Zheng

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Wenlong ZhangThe Ministry of Agriculture and Rural Affairs Key Laboratory for Biological Prevention and Control of Invasive Alien Pests, Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Agricultural Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Beijing Road 2238, Kunming, Yunnan, 650205, China.ORCID https://orcid.org/0009-0008-7787-647X
Shengtao XuThe Ministry of Agriculture and Rural Affairs Key Laboratory for Biological Prevention and Control of Invasive Alien Pests, Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Agricultural Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Beijing Road 2238, Kunming, Yunnan, 650205, China.
Hongwei YuThe Ministry of Agriculture and Rural Affairs Key Laboratory for Biological Prevention and Control of Invasive Alien Pests, Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Agricultural Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Beijing Road 2238, Kunming, Yunnan, 650205, China.ORCID https://orcid.org/0009-0003-7374-6305
Yun-Yue WangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Ministry of Education Key Laboratory of Agriculture Biodiversity for Plant Disease Management, College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
Juhua LiuInstitute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, 4 Xueyuan Road, Haikou, 571101, China.ORCID https://orcid.org/0000-0002-3200-6672
Sebastien CarpentierBioversity International, Willem De Croylaan 42, Lokaal 04.06, bus 2455, Leuven, 3001, Belgium.ORCID https://orcid.org/0000-0002-7389-6405
Si-Jun ZhengThe Ministry of Agriculture and Rural Affairs Key Laboratory for Biological Prevention and Control of Invasive Alien Pests, Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Agricultural Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Beijing Road 2238, Kunming, Yunnan, 650205, China.ORCID https://orcid.org/0000-0003-1550-3738

Funding

International Atomic Energy Agency, under project "An Integrative Approach to Enhancing Disease Resistance Against Fusarium Wilt (Foc TR4) in Banana-Phase II D23033National Natural Science Foundation of China NSFC32161143001National Natural Science Foundation of China NSFC32302424Yunling Scholar Programme of the Yunnan Provincial Government YNWR-YLXZ-2018-018
6 · The paper itself

Abstract

Fusarium wilt of banana threatens banana production world-wide. Although beneficial rhizomicrobiomes are linked to disease resistance, whether resistant cultivars systemically recruit disease-suppressive rhizomicrobiomes after pathogen challenge remains unclear. Using a split-root system combined with rhizomicrobiome transfer, we tested whether systemically recruited rhizomicrobiomes from different cultivars after pathogen challenge could alter disease development in a susceptible cultivar. Rhizosphere soil suspension from the pathogen-challenged highly resistant cultivar GCTCV119 was the only donor treatment that significantly reduced the disease index in the susceptible recipient cultivar Guijiao No. 1. This effect was associated with pathogen-induced enrichment of absolute bacterial abundance and absolute Bacillus abundance in the rhizosphere of GCTCV119, whereas such enrichment was not observed in the other donor cultivars. A syncom of seven Bacillus strains from the GCTCV119 rhizosphere most effectively reduced (by 90.20%) the disease index by the induction of plant resistance. Soil incubation showed that pathogen-induced D-sorbitol accumulation in GCTCV119 significantly increased total bacterial abundance and Bacillus abundance, and reduced the disease index. This study highlights pathogen-triggered rhizomicrobiome reshaping, higher absolute bacterial abundance, and the suppressive role of Bacillus as key features linked to disease resistance in banana, providing insights into microbiome-mediated disease suppression.

Indexed as

BacillusDisease ResistanceFusariumMicrobiotaMusaPlant DiseasesPlant RootsRhizosphereSoil MicrobiologySorbitolSorbitolBacillusFusarium wilt of bananametabolomicsrhizomicrobiome transplantationSyncom

Identifiers

PMID42498984
PMCPMC13539983

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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.