Evidence map›Paper›PMID 41900443›Full record

ArticleMicroorganisms2026

Bacterial Strains from Soybean Nodules in the Lower Volga Region Belong to a New Subspecies

Aleksandr S Sidorin, Gennady L Burygin, Andrey V Fedorov, Aleksandr D Katyshev, Yaroslav M Krasnov, Oksana V Tkachenko

Abstract read
In one paragraph

Article in Microorganisms, 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. 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

6 authors.

Aleksandr S SidorinDepartment of Plant Breeding, Selection, and Genetics, Institute of Genetics and Agronomy, Saratov State University of Genetics, Biotechnology and Engineering Named After N.I. Vavilov, Saratov 410012, Russia.ORCID 0009-0005-3411-5572
Gennady L BuryginDepartment of Plant Breeding, Selection, and Genetics, Institute of Genetics and Agronomy, Saratov State University of Genetics, Biotechnology and Engineering Named After N.I. Vavilov, Saratov 410012, Russia.ORCID 0000-0001-8031-9641
Andrey V FedorovRussian Research Anti-Plague Institute "Microbe", Saratov 410005, Russia.ORCID 0000-0001-7190-4427
Aleksandr D KatyshevRussian Research Anti-Plague Institute "Microbe", Saratov 410005, Russia.ORCID 0000-0002-8260-4670
Yaroslav M KrasnovRussian Research Anti-Plague Institute "Microbe", Saratov 410005, Russia.
Oksana V TkachenkoDepartment of Plant Breeding, Selection, and Genetics, Institute of Genetics and Agronomy, Saratov State University of Genetics, Biotechnology and Engineering Named After N.I. Vavilov, Saratov 410012, Russia.ORCID 0000-0001-8327-6763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isolation of locally adapted rhizobial strains with high symbiotic activity represents an effective strategy for increasing soybean yield under extreme environmental conditions. In this study, seven novel strains were isolated from nodules of soybeans grown in a greenhouse using field soil from the Lower Volga region. Five genomes were assembled into complete circular chromosomes, whereas two strains yielded near-complete chromosomes containing single repeat-mediated junctions. All strains had putative plasmids that were independently validated as circular by long-read mapping and confirmed by the presence of characteristic replication and conjugation-associated genes. Genome sequences of strains were about 11 Mb, and GC contents were 63.1-63.3%. Comparative genome analyses demonstrated that all strains had average nucleotide identity values of 95.4% with

Indexed as

Bradyrhizobiumgenome-based taxonomyLower Volga regionsoybeansubspecies

Identifiers

PMID41900443
PMCPMC13029459

What OpenQuestion holds

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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.