Evidence map›Paper›PMID 41743128›Full record

ArticleFrontiers in microbiology2026

Biogeographic patterns, assembly processes, and functional potential of root-associated microbiomes across the native range of the endangered orchid

Wenhao Zhu, Zhanghua Quan, Ren Wang, Xingjian Liu, Jiayu Zhou

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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. 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

5 authors.

Wenhao ZhuInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.
Zhanghua QuanCollege of Biological Sciences and Technology, Yili Normal University, Yining, China.
Ren WangInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.
Xingjian LiuInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.
Jiayu ZhouInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study employed high-throughput amplicon sequencing targeting bacterial 16S rRNA and fungal ITS regions and provided an in-depth characterization of the root-associated microbiomes of Results: Both bacterial and fungal communities exhibited significant biogeographic patterns, but only fungal Shannon-Wiener diversity showed a decreasing trend with increasing latitude. The neutral model revealed predominantly stochastic assembly of bacterial communities. In contrast, fungal communities exhibited a lower estimated migration rate, indicating a relatively stronger influence of non-neutral processes on their assembly. Soil nutrients emerged as key environmental drivers shaping microbial communities. Functional predictions highlighted multiple bacterial functions related to nitrogen cycling and the enrichment of mycorrhizal fungi, suggesting the functional potential of root-associated microbes in promoting plant nutrient acquisition, growth, and environmental adaptation. Co-occurrence network analysis further revealed positive associations between mycorrhizal fungi and potentially beneficial bacteria based on taxonomic inference. Discussion: This study reveals distinct biogeographic patterns, assembly processes, and functional potentials of root-associated microbiomes of

Indexed as

biogeographic patternsChangnienia amoenacommunity assemblymicrobial functionsorchid mycorrhizal fungiroot-associated microbiomessoil nutrients

Identifiers

PMID41743128
PMCPMC12929374

What OpenQuestion 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 OpenQuestion graph.