Evidence map›Paper›PMID 42131211›Full record

ArticleFrontiers in microbiology2026

From soil to crop: a tiered screening strategy for lipopeptide-producing

Tian Gan, Tingying Li, Huimin Yu, Aijia Yu, Mengyao Zhao, Chendi Zhao, Lishuang Xu, Jiaao Cheng, Yuchao Ma

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. 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

9 authors.

Tian GanCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Tingying LiCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Huimin YuDepartment of Chemical Engineering, Tsinghua University, Beijing, China.
Aijia YuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Mengyao ZhaoCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Chendi ZhaoCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Lishuang XuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Jiaao ChengCollege of Forestry, Beijing Forestry University, Beijing, China.
Yuchao MaCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To address agrochemical pollution and improve microbial screening efficiency, this study aimed to develop an integrated pipeline for isolating high-yielding lipopeptide-producing Methods: A tiered screening strategy combining hemolytic activity assay, plate confrontation, and oil-spreading assay was established to isolate strains from rhizosphere soils. Lipopeptide production was identified by MALDI-TOF MS and quantified via HPLC. Genomic analysis was performed to elucidate the genetic basis of lipopeptide synthesis. Crude lipopeptide extracts were evaluated for antimicrobial activity via plate assays, and for plant growth-promoting effects under pot and field conditions. Results: The screening successfully identified potent Discussion: This study provides an integrated pipeline from strain screening to field validation, highlighting Bacillus lipopeptides as sustainable alternatives to agrochemicals for combined biocontrol and plant growth promotion.

Indexed as

antibacterial and antifungal activitiesgenome mininglipopeptide-producing Bacillusplant growth promotiontiered screening

Identifiers

PMID42131211
PMCPMC13161030

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Registered trials

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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.