Evidence map›Paper›PMID 41367092›Full record

ArticlePlant communications2026

An ecology-driven microbial consortium enhances plant growth and immunity while sustaining rhizospheric microbial balance.

Mrinmoy Mazumder, Hitesh Tikariha, Sevugan Mayalagu, Seyed Mohammad Majedi, Nur Ashikin Binti Abdul Hamid, Sourav Mukhopadhyay, Shruti Pavagadhi, Poonguzhali Selvaraj, Naweed I Naqvi, Sanjay Swarup

Abstract read
In one paragraph

Article in Plant communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Mrinmoy MazumderSingapore Centre for Environmental Life Science Engineering (SCELSE), Singapore 637551, Singapore.
Hitesh TikarihaNUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, Singapore 117411, Singapore.
Sevugan MayalaguDepartment of Biological Sciences, National University of Singapore, 14, Science Drive 4, Singapore 117543, Singapore.
Seyed Mohammad MajediNUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, Singapore 117411, Singapore.
Nur Ashikin Binti Abdul HamidNUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, Singapore 117411, Singapore.
Sourav MukhopadhyayDepartment of Biological Sciences, National University of Singapore, 14, Science Drive 4, Singapore 117543, Singapore.
Shruti PavagadhiNUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, Singapore 117411, Singapore.
Poonguzhali SelvarajTemasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore.
Naweed I NaqviDepartment of Biological Sciences, National University of Singapore, 14, Science Drive 4, Singapore 117543, Singapore; Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; Research Centre on Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore.
Sanjay SwarupSingapore Centre for Environmental Life Science Engineering (SCELSE), Singapore 637551, Singapore; NUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, Singapore 117411, Singapore; Department of Biological Sciences, National University of Singapore, 14, Science Drive 4, Singapore 117543, Singapore; Research Centre on Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore. Electronic address: sanjay@nus.edu.sg.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

Plant growth-promoting (PGP) microbial consortia offer a promising alternative to reduce reliance on chemical fertilizers in crop production. Their regenerative potential makes them well suited for sustainable farm management practices with a lower carbon footprint. However, developing effective, stable, and environmentally friendly PGP consortia remains a major challenge. Here, we present a novel strategy for designing microbial consortia by integrating natural microbial interactions and metabolic complementarity among selected microbes, using co-occurrence network analysis and genome-scale metabolic modeling, respectively. Using this approach, we constructed a three-member microbial consortium comprising Streptomyces sp., Agromyces sp., and Bacillus sp. (SAB). Both microbiological and genomic analyses demonstrate the strong PGP potential and stability of SAB, which outperforms its individual members. Phenotypic analyses indicate that SAB treatment enhances plant growth rate and biomass without disrupting the native soil microbial community. Furthermore, experiments confirm the consistent and significant performance of SAB across choy sum and other plant species under different experimental setups and soil conditions, demonstrating its broad-spectrum beneficial activity. Transcriptomic analyses reveal that SAB induces parallel activation of growth and defense responses in shoots, effectively bypassing the typical growth-defense trade-off through microbiome-mediated signaling and beneficial functions. Overall, this study demonstrates the functional potential of an ecologically designed microbial consortium that enhances plant growth by rewiring resource allocation while exerting minimal impact on the rhizospheric microbial community.

Indexed as

Microbial ConsortiaPlant DevelopmentPlant ImmunityRhizosphereSoil MicrobiologyBacillusMicrobiotaStreptomycesgenome-scale metabolic modelingmicrobial communitymicrobiomePGP consortiumplant-growth-promoting consortiumtranscriptomics

Identifiers

PMID41367092
PMCPMC12983266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.