Evidence map›Paper›PMID 38138008›Full record

ReviewMicroorganisms2023

Plant Growth-Promoting Bacteria of Soil: Designing of Consortia Beneficial for Crop Production.

Anna M Timofeeva, Maria R Galyamova, Sergey E Sedykh

Abstract readReview
In one paragraph

Review in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Principles for Rigorous Design and Application of Synthetic Microbial Communities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Pooled it
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  4. Genomic exploration ofMicrobiology spectrum · 2026
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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

3 authors.

Anna M TimofeevaSB RAS Institute of Chemical Biology and Fundamental Medicine, 630090 Novosibirsk, Russia.ORCID 0000-0002-1270-7164
Maria R GalyamovaFaculty of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.
Sergey E SedykhSB RAS Institute of Chemical Biology and Fundamental Medicine, 630090 Novosibirsk, Russia.ORCID 0000-0003-0882-8171

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2021-1085
6 · The paper itself

Abstract

Plant growth-promoting bacteria are commonly used in agriculture, particularly for seed inoculation. Multispecies consortia are believed to be the most promising form of these bacteria. However, designing and modeling bacterial consortia to achieve desired phenotypic outcomes in plants is challenging. This review aims to address this challenge by exploring key antimicrobial interactions. Special attention is given to approaches for developing soil plant growth-promoting bacteria consortia. Additionally, advanced omics-based methods are analyzed that allow soil microbiomes to be characterized, providing an understanding of the molecular and functional aspects of these microbial communities. A comprehensive discussion explores the utilization of bacterial preparations in biofertilizers for agricultural applications, focusing on the intricate design of synthetic bacterial consortia with these preparations. Overall, the review provides valuable insights and strategies for intentionally designing bacterial consortia to enhance plant growth and development.

Indexed as

bacterial interactionsconsortiumconsortium modelingdesigning synthetic microbial communitiesmicrobe–plant interactionmicrobial communitiesPGPBrhizobacteriasymbiosissynthetic microbial communities

Identifiers

PMID38138008
PMCPMC10745983

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.