Evidence map›Paper›PMID 33167465›Full record

ArticlePlants (Basel, Switzerland)2020

Soybean Nodule-Associated Non-Rhizobial Bacteria Inhibit Plant Pathogens and Induce Growth Promotion in Tomato.

Serkan Tokgöz, Dilip K Lakshman, Mahmoud H Ghozlan, Hasan Pinar, Daniel P Roberts, Amitava Mitra

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  5. Draft genome sequence ofCurrent research in microbial sciences · 2024
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  9. Two NewMicrobiology spectrum · 2022
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  10. Article
  11. Bacterial community structure of the sunflower (Plant signaling & behavior · 2021
    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

6 authors at 2 institutions in 1 country.

Serkan TokgözDepartment of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Dilip K LakshmanSustainable Agricultural Systems Laboratory, USDA-ARS, Beltsville, MD 20705, USA.
Mahmoud H GhozlanDepartment of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Hasan PinarDepartment of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-0811-8228
Daniel P RobertsSustainable Agricultural Systems Laboratory, USDA-ARS, Beltsville, MD 20705, USA.
Amitava MitraDepartment of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
University of Nebraska–Lincoln · USBeltsville Agricultural Research Center · US

Funding

U.S. Department of Agriculture SCA: 58-8042-7-097.
6 · The paper itself

Abstract

The root nodules are a unique environment formed on legume roots through a highly specific symbiotic relationship between leguminous plants and nodule-inducing bacteria. Previously, Rhizobia were presumed to be the only group of bacteria residing within nodules. However, recent studies discovered diverse groups of bacteria within the legume nodules. In this report soybean nodule-associated bacteria were studied in an effort to identify beneficial bacteria for plant disease control and growth promotion. Analysis of surface-sterilized single nodules showed bacterial diversity of the nodule microbiome. Five hundred non-rhizobial colonies from 10 nodules, 50 colonies per nodule, were tested individually against the tomato wilt causing bacterial pathogen

Indexed as

disease controlgrowth promotionleguminous plantsnon-rhizobial bacteriarhizobiaroot nodulesoybean

Identifiers

PMID33167465
PMCPMC7694458
OpenAlexW3097626677

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.