Evidence map›Paper›PMID 41295149›Full record

ReviewJournal of fungi (Basel, Switzerland)2025

Arbuscular Mycorrhizal Fungi as Core Engineers in Synthetic Microbial Communities: Boosting Plant Growth and Soil Health for Sustainable Agriculture.

Yinan Zeng, Yan Wang, Xueli Wang, Xuemin Jing, Xiangyang Shu, Ping Ren, Weijia Liu, Qinxin Ye, Wei Fu, Zhipeng Hao and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of fungi (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

13 authors.

Yinan ZengThe Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China, College of Geography and Resources, Sichuan Normal University, Chengdu 610066, China.
Yan WangSchool of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China.
Xueli WangThe Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China, College of Geography and Resources, Sichuan Normal University, Chengdu 610066, China.
Xuemin JingState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Xiangyang ShuThe Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China, College of Geography and Resources, Sichuan Normal University, Chengdu 610066, China.
Ping RenThe Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China, College of Geography and Resources, Sichuan Normal University, Chengdu 610066, China.
Weijia LiuInstitute of Resources and Environmental Sciences, Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, China.
Qinxin YeInstitute of Resources and Environmental Sciences, Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, China.
Wei FuState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Zhipeng HaoState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0002-1211-596X
Xin ZhangState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0001-8504-5213
Baodong ChenState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0002-1790-7800
Xia WangThe Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China, College of Geography and Resources, Sichuan Normal University, Chengdu 610066, China.

Funding

National Natural Science Foundation of China grant 42177109National Natural Science Foundation of China grant 42207050National Natural Science Foundation of China grant 42377299Sichuan Science and Technology Program 2023NSFSC1979Sichuan Science and Technology Program 2024NSFSC0860the National Key Research and Development Program of China 2023YFF1306004
6 · The paper itself

Abstract

Bacterial synthetic microbial communities (SynCom) have exhibited significant effects for enhancing plant growth and delivering ecological benefits. However, persistent challenges, including structural instability, limited environmental adaptability, and transient efficacy, remain critical barriers to their practical application. Herein, we propose Arbuscular Mycorrhizal fungi (AMF) as the keystone component to optimize SynCom's ecological fitness in sustainable agricultural systems. AMF modulate microbiome assembly through hyphal networks, enhancing community stability via facilitative interactions and augmenting nutrient cycling functionalities. This review systematically evaluates methodologies for AMF-based SynCom design and construction, investigates the dynamics of AMF-microbe interactions, delineates plant growth-promoting mechanisms, identifies candidate microbial taxa, and addresses implementation bottlenecks with corresponding strategies. We posit that AMF-Based SynComs represent a transformative management tool for ensuring global food security amid impending climatic perturbations and declining agricultural productivity.

Indexed as

AMF microbiomearbuscular mycorrhizal fungisustainable agricultureSynCom

Identifiers

PMID41295149
PMCPMC12653914

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.