Evidence map›Paper›PMID 40569658›Full record

ArticleFEMS microbiology ecology2025

Microbial dynamics across tri-trophic systems: insights from plant-herbivore-predator interactions.

Hong Yan, Endong Wang, Guo-Shu Wei, Xuenong Xu, Mark R H Hurst, Bo Zhang

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Geographical variation ofFrontiers in microbiology · 2026
    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

6 authors.

Hong YanCollege of Plant Protection, Hebei Agricultural University, Baoding 071000, Hebei Province, China.
Endong WangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Guo-Shu WeiCollege of Plant Protection, Hebei Agricultural University, Baoding 071000, Hebei Province, China.
Xuenong XuState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Mark R H HurstResilient Agriculture, AgResearch, Lincoln Research Centre, Christchurch 8140, New Zealand.
Bo ZhangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7811-8584

Funding

Beijing Natural Science Foundation 6222052National Natural Science Foundation of China 32070402
6 · The paper itself

Abstract

Microbes play a critical role in regulating tri-trophic interactions among plants, herbivores, and their natural enemies, influencing key ecological and evolutionary processes. To fully understand these interactions through the food chain, a well-defined tri-trophic system is required. We investigated microbial dynamics involving plants (beans, cucumbers, and eggplants), spider mites (Tetranychus urticae), and predatory mites (Phytoseiulus persimilis) through 16S rRNA gene sequencing. The results revealed significant variations in microbiota across different trophic levels. Source tracking analysis indicated that microbiota at each trophic level were rarely inherited from the previous one, and deterministic processes played a key role in shaping the endosphere communities of these levels. Most shared zero-radius operational taxonomic units across each trophic level belonged to Pseudomonas, Bacillus, and Staphylococcus. Leaf microbiota differed among plants, while spider mites harbored similar microbiota. Notably, the microbiota of predatory mites on eggplants differed significantly from those on the other two plants. Biomarker selection and correlation analyses revealed that the abundance of Methylobacterium and Stenotrophomonas was strongly correlated with the improved fitness of predatory mites across different plants. Our study highlights the complex and dynamic nature of microbial communities across different trophic levels in a well-defined plant-herbivore-predator system.

Indexed as

BacteriaFood ChainHerbivoryMicrobiotaMitesPlantsTetranychidaeAnimalsPredatory BehaviorRNA, Ribosomal, 16SRNA, Ribosomal, 16Sbacterial diversitydeterministic processesfitnessmicrobiomepredatory mite

Identifiers

PMID40569658
PMCPMC12199696

What Socratic 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 Socratic graph.