Evidence map›Paper›PMID 41023038›Full record

ArticleScientific reports2025

Combined genomic and phenomic analyses reveals multifunctionality of Paenibacillus polymyxa K16 for plant's nutrition, growth and health.

Francesco Vitali, Paweł Trzciński, Andrea Manfredini, Expedito Olimi, Gaia Bigiotti, Magdalena Ptaszek, Lidia Sas-Paszt, Samuel Bickel, Gabriele Berg, Loredana Canfora and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. ALife (Basel, Switzerland) · 2026
    Article
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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

12 authors.

Francesco VitaliResearch Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), Via di Lanciola, 12/A, Firenze, 50125, Italy. francesco.vitali@crea.gov.it.
Paweł TrzcińskiThe National Institute of Horticultural Research, Skierniewice, 96-100, Poland.
Andrea ManfrediniResearch Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), Via della Navicella, 2-4, Roma, 00184, Italy.
Expedito OlimiInstitute of Environmental Biotechnology, Graz University of Technology, Graz, 8010, Austria.
Gaia BigiottiResearch Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), Via di Lanciola, 12/A, Firenze, 50125, Italy.
Magdalena PtaszekThe National Institute of Horticultural Research, Skierniewice, 96-100, Poland.
Lidia Sas-PasztThe National Institute of Horticultural Research, Skierniewice, 96-100, Poland.
Samuel BickelInstitute of Environmental Biotechnology, Graz University of Technology, Graz, 8010, Austria.
Gabriele BergInstitute of Environmental Biotechnology, Graz University of Technology, Graz, 8010, Austria.
Loredana CanforaResearch Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), Via della Navicella, 2-4, Roma, 00184, Italy.
Eligio MalusàThe National Institute of Horticultural Research, Skierniewice, 96-100, Poland.
Stefano MocaliResearch Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), Via di Lanciola, 12/A, Firenze, 50125, Italy.

Funding

H2020 Societal Challenges,European Union 817946
6 · The paper itself

Abstract

The application of beneficial microorganisms with biostimulant, biofertilizer, and/or biopesticide properties represents an alternative to the use of chemicals in agriculture. Nevertheless, bioproducts' selection and application efficacy under field condition need to be improved. A deeper understanding of the bioinoculant strains at genomic and phenomic level, would advance selection process and field application. The objective of this manuscript was to develop a combined genomic-phenomic approach for the characterization of bioproducts, and to demonstrate its application with a real use-case scenario. At the genomic level, the presence of several functional genes supporting plant nutrition (e.g., nitrate conversion into ammonia, phosphorous solubilization, siderophore production), improving plant growth (e.g., plant hormones) or promoting plant health through antagonism to plant pathogens, pointed to the multifunctionality of the strain. The phenomic analysis showed various carbon, nitrogen, phosphate, and sulfur utilization patterns, and confirmed the expression of the associated metabolic pathways. Our analysis approach encompasses as many aspects of the genome and phenome as possible for understanding the complexities of a microorganism, enabling the generation of greater value compared to the individual technologies. The proposed approach unlocks data-driven decision making in bioproduct optimisation, as such should be routinely included in screening programs.

Indexed as

Genome, BacterialGenomicsPaenibacillus polymyxaPhenomicsPlant DevelopmentPlantsNitrogenNitrogenGenome miningMicrobial biological control agentMicrobial biostimulantPhenotype microarrayStrain characterizationWhole genome sequencing

Identifiers

PMID41023038
PMCPMC12480460

What OpenQuestion holds

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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.