Evidence map›Paper›PMID 42286246›Full record

ArticleNature microbiology2026

Bacteria-phage coevolution drives variation in bacterial wilt disease incidence via resistance-virulence trade-offs.

Xiaofang Wang, Keming Yang, Shuo Wang, Sara Franco Ortega, Ezra Herman, Bryden Fields, Ningqi Wang, Gaofei Jiang, Yong Zhang, Shaohua Gu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 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

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

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

14 authors.

Xiaofang Wang *Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0001-5030-1686
Keming Yang *Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Shuo WangJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Sara Franco OrtegaDepartment of Biology, University of York, York, UK.
Ezra HermanDepartment of Biology, University of York, York, UK.
Bryden FieldsDepartment of Biology, University of York, York, UK.
Ningqi WangJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Gaofei JiangJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0002-5331-739X
Yong ZhangCollege of Resources and Environment, Southwest University, Chongqing, China.
Shaohua GuCollege of Resources and Environmental Sciences, State Key Laboratory of Nutrient Use and Management (SKL-NUM), National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-3071-5747
Yangchun XuJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0003-2740-5561
Qirong ShenJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0002-5662-9620
Ville-Petri FrimanJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China. ville-petri.friman@helsinki.fi.ORCID http://orcid.org/0000-0002-1592-157X
Zhong WeiJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Educational Ministry Engineering Center of Resource-Saving fertilizers, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China. weizhong@njau.edu.cn.ORCID http://orcid.org/0000-0002-7967-4897

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42090064National Natural Science Foundation of China (National Science Foundation of China) 42325704
6 · The paper itself

Abstract

Bacteria-phage coevolution often results in correlated fitness effects on partner species. Whether coevolutionary changes impact the ecology of the surrounding communities is unclear. Here we link coevolution between the phytopathogenic bacterium Ralstonia pseudosolanacearum and its phage parasites to bacterial wilt disease patterns across four geographically disconnected tomato fields. We find that bacteria and phages are locally adapted between and within fields. Phage infectivity was highest on sympatric bacteria, and bacteria showed greater phage resistance when isolated from healthy than diseased plants. The modularity of phage-bacteria coevolution was associated with field-specific anti-phage defence system patterns and locally adapted phage populations. Moreover, phages selected for field-specific mutations in different phage receptor genes, which were negatively associated with virulence measured in planta, suggesting why phage-resistant but weakly virulent pathogen isolates are associated with healthy tomato plants within fields. Our findings show that bacteria-phage coevolution results in patchy plant disease distribution through phage resistance-virulence trade-offs.

Indexed as

BacteriophagesBiological CoevolutionPlant DiseasesRalstoniaHost-Pathogen InteractionsMutationSolanum lycopersicumVirulence

Identifiers

PMID42286246

What OpenQuestion holds

Textmetadata
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.