Evidence map›Paper›PMID 40910370›Full record

ArticleThe ISME journal2025

Net rate of lateral gene transfer in marine prokaryoplankton.

Ramunas Stepanauskas, Julia M Brown, Shayesteh Arasti, Uyen Mai, Gregory Gavelis, Maria Pachiadaki, Oliver Bezuidt, Jacob H Munson-McGee, Tianyi Chang, Steven J Biller and 2 more

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Ramunas StepanauskasBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.ORCID 0000-0003-4458-3108
Julia M BrownBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.
Shayesteh ArastiDepartment of Computer Science and Engineering, University of California; San Diego, La Jolla, CA 92093, United States.
Uyen MaiDepartment of Computer Science and Engineering, University of California; San Diego, La Jolla, CA 92093, United States.
Gregory GavelisBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.
Maria PachiadakiWoods Hole Oceanographic Institution; Woods Hole, MA 02543, United States.
Oliver BezuidtBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.
Jacob H Munson-McGeeBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.
Tianyi ChangBigelow Laboratory for Ocean Sciences; East Boothbay, ME 04544, United States.
Steven J BillerDepartment of Biological Sciences, Wellesley College; Wellesley, MA 02481, United States.ORCID 0000-0002-2638-823X
Paul M BerubeDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, United States.
Siavash MirarabDepartment of Electrical and Computer Engineering, University of California; San Diego, La Jolla, CA 92093, United States.

Funding

Biology-aware machine learning methods for characterizing microbiome genotype and phenotypeR35GM142725 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MIR ARABBAYGI, SIAVASH · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM142725Simons Foundation 510023Simons Foundation 827839Simons Foundation 917971Simons Foundation 929985US National Institute of Health 1R35GM142725US National Science Foundation 1335810US National Science Foundation 1826734US National Science Foundation 1845967US National Science Foundation 2048470US National Science Foundation 2049004US National Science Foundation 2304066
6 · The paper itself

Abstract

Lateral gene transfer is a major evolutionary process in Bacteria and Archaea. Despite its importance, lateral gene transfer quantification in nature using traditional phylogenetic methods has been hampered by the rarity of most genes within the enormous microbial pangenomes. Here, we estimated lateral gene transfer rates within the epipelagic tropical and subtropical ocean using a global, randomized collection of single amplified genomes and a non-phylogenetic computational approach. By comparing the fraction of shared genes between pairs of genomes against a lateral gene transfer-free model, we show that an average cell line laterally acquires and retains ~13% of its genes every 1 million years. This translates to a net lateral gene transfer rate of ~250 genes L-1 seawater day-1 and involves both "flexible" and "core" genes. Our study indicates that whereas most genes are exchanged among closely related cells, the range of lateral gene transfer exceeds the contemporary definition of bacterial species, thus providing prokaryoplankton with extensive genetic resources for lateral gene transfer-based adaptation to environmental stressors. This offers an important starting point for the quantitative analysis of lateral gene transfer in natural settings and its incorporation into evolutionary and ecosystem studies and modeling.

Indexed as

ArchaeaBacteriaGene Transfer, HorizontalPlanktonSeawaterEvolution, MolecularPhylogenybacteriaepipelagiclateral gene transfermarinemicrobial evolutionoceanplanktonsingle-cell genomics

Identifiers

PMID40910370
PMCPMC12416821

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.