Evidence map›Paper›PMID 39232008›Full record

ArticleScientific data2024

Digital Microbe: a genome-informed data integration framework for team science on emerging model organisms.

Iva Veseli, Michelle A DeMers, Zachary S Cooper, Matthew S Schechter, Samuel Miller, Laura Weber, Christa B Smith, Lidimarie T Rodriguez, William F Schroer, Matthew R McIlvin and 6 more

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Complete genome sequence ofMicrobiology resource announcements · 2026
    Article
  3. Review
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

16 authors.

Iva Veseli *Helmholtz Institute for Functional Marine Biodiversity, 26129, Oldenburg, Germany.ORCID 0000-0003-2390-5286
Michelle A DeMers *Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Zachary S Cooper *Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA.
Matthew S SchechterCommittee on Microbiology, The University of Chicago, Chicago, IL, 60637, USA.
Samuel MillerBay Paul Center, Marine Biological Laboratory, Woods Hole, MA, 02543, USA.
Laura WeberWoods Hole Oceanographic Institution, Falmouth, MA, 02543, USA.
Christa B SmithDepartment of Marine Sciences, University of Georgia, Athens, GA, 30602, USA.ORCID 0000-0001-7736-3166
Lidimarie T RodriguezDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32611-0180, USA.
William F SchroerDepartment of Marine Sciences, University of Georgia, Athens, GA, 30602, USA.ORCID 0000-0002-5675-2848
Matthew R McIlvinWoods Hole Oceanographic Institution, Falmouth, MA, 02543, USA.
Paloma Z LopezWoods Hole Oceanographic Institution, Falmouth, MA, 02543, USA.
Makoto SaitoWoods Hole Oceanographic Institution, Falmouth, MA, 02543, USA.
Sonya DyhrmanLamont-Doherty Earth Observatory, and the Department of Earth and Environmental Sciences, Columbia University, New York, NY, 10032, USA.
A Murat ErenHelmholtz Institute for Functional Marine Biodiversity, 26129, Oldenburg, Germany. meren@mbl.edu.ORCID 0000-0001-9013-4827
Mary Ann MoranDepartment of Marine Sciences, University of Georgia, Athens, GA, 30602, USA. mmoran@uga.edu.ORCID 0000-0002-0702-8167
Rogier BraakmanDepartment of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. braakman@mit.edu.

Funding

National Science Foundation (NSF) 1746045National Science Foundation (NSF) OCE-2019589Simons Foundation 542391
6 · The paper itself

Abstract

The remarkable pace of genomic data generation is rapidly transforming our understanding of life at the micron scale. Yet this data stream also creates challenges for team science. A single microbe can have multiple versions of genome architecture, functional gene annotations, and gene identifiers; additionally, the lack of mechanisms for collating and preserving advances in this knowledge raises barriers to community coalescence around shared datasets. "Digital Microbes" are frameworks for interoperable and reproducible collaborative science through open source, community-curated data packages built on a (pan)genomic foundation. Housed within an integrative software environment, Digital Microbes ensure real-time alignment of research efforts for collaborative teams and facilitate novel scientific insights as new layers of data are added. Here we describe two Digital Microbes: 1) the heterotrophic marine bacterium Ruegeria pomeroyi DSS-3 with > 100 transcriptomic datasets from lab and field studies, and 2) the pangenome of the cosmopolitan marine heterotroph Alteromonas containing 339 genomes. Examples demonstrate how an integrated framework collating public (pan)genome-informed data can generate novel and reproducible findings.

Indexed as

Genome, BacterialFlavobacteriaceaeGenomicsSoftware

Identifiers

PMID39232008
PMCPMC11374999

What OpenQuestion holds

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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.