Evidence map›Paper›PMID 27190206›Full record

ArticleGenome biology and evolution2016

"Every Gene Is Everywhere but the Environment Selects": Global Geolocalization of Gene Sharing in Environmental Samples through Network Analysis.

Marco Fondi, Antti Karkman, Manu V Tamminen, Emanuele Bosi, Marko Virta, Renato Fani, Eric Alm, James O McInerney

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 116 citations in OpenAlex.

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  20. Prokaryotic Pangenomes Act as Evolving Ecosystems.Molecular biology and evolution · 2023
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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

8 authors at 2 institutions in 2 countries.

Marco FondiLaboratory of Microbial and Molecular Evolution, Department of Biology, University of Florence, Italy Computational Biology Group, University of Florence, Italy.
Antti KarkmanDepartment of Food and Environmental Sciences, University of Helsinki, Finland.
Manu V TamminenDepartment of Environmental Systems Science, ETH Zürich, Switzerland Department of Aquatic Ecology, Eawag, Switzerland.
Emanuele BosiLaboratory of Microbial and Molecular Evolution, Department of Biology, University of Florence, Italy Computational Biology Group, University of Florence, Italy.
Marko VirtaDepartment of Food and Environmental Sciences, University of Helsinki, Finland.
Renato FaniLaboratory of Microbial and Molecular Evolution, Department of Biology, University of Florence, Italy Computational Biology Group, University of Florence, Italy.
Eric AlmDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology.
James O McInerneyDepartment of Biology, National University of Ireland Maynooth, County Kildare, Ireland Computational Evolutionary Biology, Faculty of Life Sciences, The University of Manchester, United Kingdom james.mcinerney@manchester.ac.uk.
University of Helsinki · FIMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of microbes on our planet is famously formulated in the Baas Becking hypothesis as "everything is everywhere but the environment selects." While this hypothesis does not strictly rule out patterns caused by geographical effects on ecology and historical founder effects, it does propose that the remarkable dispersal potential of microbes leads to distributions generally shaped by environmental factors rather than geographical distance. By constructing sequence similarity networks from uncultured environmental samples, we show that microbial gene pool distributions are not influenced nearly as much by geography as ecology, thus extending the Bass Becking hypothesis from whole organisms to microbial genes. We find that gene pools are shaped by their broad ecological niche (such as sea water, fresh water, host, and airborne). We find that freshwater habitats act as a gene exchange bridge between otherwise disconnected habitats. Finally, certain antibiotic resistance genes deviate from the general trend of habitat specificity by exhibiting a high degree of cross-habitat mobility. The strong cross-habitat mobility of antibiotic resistance genes is a cause for concern and provides a paradigmatic example of the rate by which genes colonize new habitats when new selective forces emerge.

Indexed as

BiodiversityEnvironmentGene Regulatory NetworksGenetic DeterminismGenetic SpeciationMicrobiological PhenomenaEcologyGene FlowGeographyHumansantibiotic resistancebiogeographyhorizontal gene transfer

Identifiers

PMID27190206
PMCPMC4898794
OpenAlexW2343321668

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.