Evidence map›Paper›PMID 34773098›Full record

ReviewNature reviews. Microbiology2022

Horizontal gene transfer and adaptive evolution in bacteria.

Brian J Arnold, I-Ting Huang, William P Hanage

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 403 papers.

0numbers the graph read from it
0cells of the map it votes in
403citing papers in PubMed
37.7field-weighted citation impact, top 1% 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

403 citing papers in PubMed, 783 citations in OpenAlex.

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  18. Review
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  20. Article

343 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Brian J Arnold *Department of Computer Science, Princeton University, Princeton, NJ, USA. brianjohnarnold@gmail.com.ORCID http://orcid.org/0000-0002-8629-5465
I-Ting Huang *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
William P HanageCenter for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. whanage@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-6319-7336
Center for Disease Dynamics, Economics & Policy · USHarvard University · USPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer (HGT) is arguably the most conspicuous feature of bacterial evolution. Evidence for HGT is found in most bacterial genomes. Although HGT can considerably alter bacterial genomes, not all transfer events may be biologically significant and may instead represent the outcome of an incessant evolutionary process that only occasionally has a beneficial purpose. When adaptive transfers occur, HGT and positive selection may result in specific, detectable signatures in genomes, such as gene-specific sweeps or increased transfer rates for genes that are ecologically relevant. In this Review, we first discuss the various mechanisms whereby HGT occurs, how the genetic signatures shape patterns of genomic variation and the distinct bioinformatic algorithms developed to detect these patterns. We then discuss the evolutionary theory behind HGT and positive selection in bacteria, and discuss the approaches developed over the past decade to detect transferred DNA that may be involved in adaptation to new environments.

Indexed as

BacteriaGene Transfer, HorizontalComputational BiologyEvolution, MolecularGenome, BacterialGenomicsPhylogeny

Identifiers

PMID34773098
OpenAlexW3212385379

What OpenQuestion holds

Textmetadata
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.