Evidence map›Paper›PMID 38453959›Full record

ArticleNature communications2024

bacLIFE: a user-friendly computational workflow for genome analysis and prediction of lifestyle-associated genes in bacteria.

Guillermo Guerrero-Egido, Adrian Pintado, Kevin M Bretscher, Luisa-Maria Arias-Giraldo, Joseph N Paulson, Herman P Spaink, Dennis Claessen, Cayo Ramos, Francisco M Cazorla, Marnix H Medema and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Biosynthetic diversity and antifungal potential of soil-derivedApplied and environmental microbiology · 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

12 authors.

Guillermo Guerrero-Egido *Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Adrian Pintado *Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0001-6045-3018
Kevin M Bretscher *Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0003-0742-4343
Luisa-Maria Arias-GiraldoDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB, Wageningen, The Netherlands.
Joseph N PaulsonDepartment of Data Sciences, N-Power Medicine, Redwood City, CA, 94063, USA.
Herman P SpainkInstitute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0003-4128-9501
Dennis ClaessenInstitute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0002-0789-2633
Cayo RamosDepartamento de Protección de Cultivos, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora", Campus Universitario de Teatinos, Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), 29010, Málaga, Spain.ORCID 0000-0002-2362-5041
Francisco M CazorlaDepartamento de Microbiología, Facultad de Ciencias, Campus Universitario de Teatinos s/n, Universidad de Málaga, 29010, Málaga, Spain.ORCID 0000-0003-0798-0964
Marnix H MedemaInstitute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0002-2191-2821
Jos M RaaijmakersInstitute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.ORCID 0000-0003-1608-6614
Víctor J CarriónInstitute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands. vcarrion@uma.es.ORCID 0000-0002-4093-0355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria have an extensive adaptive ability to live in close association with eukaryotic hosts, exhibiting detrimental, neutral or beneficial effects on host growth and health. However, the genes involved in niche adaptation are mostly unknown and their functions poorly characterized. Here, we present bacLIFE ( https://github.com/Carrion-lab/bacLIFE ) a streamlined computational workflow for genome annotation, large-scale comparative genomics, and prediction of lifestyle-associated genes (LAGs). As a proof of concept, we analyzed 16,846 genomes from the Burkholderia/Paraburkholderia and Pseudomonas genera, which led to the identification of hundreds of genes potentially associated with a plant pathogenic lifestyle. Site-directed mutagenesis of 14 of these predicted LAGs of unknown function, followed by plant bioassays, showed that 6 predicted LAGs are indeed involved in the phytopathogenic lifestyle of Burkholderia plantarii and Pseudomonas syringae pv. phaseolicola. These 6 LAGs encompassed a glycosyltransferase, extracellular binding proteins, homoserine dehydrogenases and hypothetical proteins. Collectively, our results highlight bacLIFE as an effective computational tool for prediction of LAGs and the generation of hypotheses for a better understanding of bacteria-host interactions.

Indexed as

Genome, BacterialPseudomonas syringaeGenomicsWorkflow

Identifiers

PMID38453959
PMCPMC10920822

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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.