Evidence map›Paper›PMID 42491438›Full record

ArticleiMeta2026

Synthetic microbial communities for engineering climate-smart biofertilizers.

Yan Liu, Yue Chen, Yanxue Yu, Che Ok Jeon, Mohammad Bahram, Junfeng Zhai, Hailei Wei, Fuqiang Wang, Xiaofeng Cao, Baolei Jia

Abstract read
In one paragraph

Article in iMeta, 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

10 authors.

Yan LiuXianghu Laboratory Hangzhou China.ORCID https://orcid.org/0000-0002-3518-1505
Yue ChenXianghu Laboratory Hangzhou China.
Yanxue YuInstitute of Plant Quarantine Chinese Academy of Quality and Inspection & Testing Beijing China.
Che Ok JeonDepartment of Life Science Chung-Ang University Seoul Republic of Korea.ORCID https://orcid.org/0000-0003-1665-2399
Mohammad BahramDepartment of Agroecology, Faculty of Technical Sciences Aarhus University Slagelse Denmark.
Junfeng ZhaiInstitute of Plant Quarantine Chinese Academy of Quality and Inspection & Testing Beijing China.
Hailei WeiInstitute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing China.ORCID https://orcid.org/0000-0001-6554-009X
Fuqiang WangHainan Seed Industry Laboratory Sanya China.
Xiaofeng CaoInstitute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing China.
Baolei JiaXianghu Laboratory Hangzhou China.ORCID https://orcid.org/0000-0001-6434-5604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global agricultural productivity is increasingly destabilized by climate change-driven droughts, floods, extreme heat, and severe storms. Although the climate-smart agriculture (CSA) framework addresses these challenges, implementation has focused mainly on plant genetics and agronomic inputs, leaving the adaptive potential of the crop microbiome underexplored. Here, we examine the agricultural use of synthetic microbial communities (SynComs) through the "crop holobiont" concept, in which plants and their associated microbiota function as an integrated, responsive system rather than through plant genomes alone. Pioneer plants in extreme environments may serve as reservoirs of stress-adapted microbes and provide a strategic toolkit for advancing CSA. SynComs assembled from these microbes can act not only as nutrient suppliers but also as dynamic physiological modulators that enhance crop phenotypic plasticity under climatic stress. We propose a roadmap for crop microbiology that integrates synthetic ecological engineering, with broad implications for CSA.

Identifiers

PMID42491438
PMCPMC13377407

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.