Evidence map›Paper›PMID 34683444›Full record

ArticleMicroorganisms2021

Secreted Secondary Metabolites Reduce Bacterial Wilt Severity of Tomato in Bacterial-Fungal Co-Infections.

Nandhitha Venkatesh, Max J Koss, Claudio Greco, Grant Nickles, Philipp Wiemann, Nancy P Keller

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. A Novel Plant-Derived Biopesticide MitigatesPlants (Basel, Switzerland) · 2024
    Article
  3. 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 1 institution in 1 country.

Nandhitha VenkateshDepartment of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Max J KossDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Claudio GrecoDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-3067-0999
Grant NicklesDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-0234-8049
Philipp WiemannDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Nancy P KellerDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-4386-9473
University of Wisconsin–Madison · US

Funding

Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
Comprehensive analysis of NRPS-derived metabolomes of three Aspergillus speciesR01GM112739 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KELLER, NANCY P · 2015 to 2023
$2.8M
Food Research Institute, University of Wisconsin-Madison E. Michael and Winona Foster Wisconsin Distinguished Fellowship AwardNational Institute of Food and Agriculture Hatch project 1012878NIGMS NIH HHS R01 GM112739NIGMS NIH HHS T32 GM135066NIH HHS 5R01GM112739-06
6 · The paper itself

Abstract

In order to gain a comprehensive understanding of plant disease in natural and agricultural ecosystems, it is essential to examine plant disease in multi-pathogen-host systems.

Indexed as

bacterial–fungal interactionscoinfectionFusarium oxysporumplant–microbe interactionsRalstonia solanacearumsecondary metaboliteswilt disease

Identifiers

PMID34683444
PMCPMC8537627
OpenAlexW3205752100

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.