Evidence map›Paper›PMID 39198408›Full record

ArticleNature communications2024

Origin of biogeographically distinct ecotypes during laboratory evolution.

Jacob J Valenzuela, Selva Rupa Christinal Immanuel, James Wilson, Serdar Turkarslan, Maryann Ruiz, Sean M Gibbons, Kristopher A Hunt, Nejc Stopnisek, Manfred Auer, Marcin Zemla 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jacob J Valenzuela *Institute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0002-2320-241X
Selva Rupa Christinal Immanuel *Institute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0002-3642-9605
James WilsonInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0001-8503-2041
Serdar TurkarslanInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0003-1679-6405
Maryann RuizInstitute for Systems Biology, Seattle, WA, 98109, USA.
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0002-8724-7916
Kristopher A HuntCivil and Environmental Engineering, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0003-0024-4913
Nejc StopnisekCivil and Environmental Engineering, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-1532-6826
Manfred AuerDepartment of Biomedical Engineering, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.
Marcin ZemlaLawrence Berkeley National Laboratory, Berkeley, CA, USA.
David A StahlCivil and Environmental Engineering, University of Washington, Seattle, WA, 98195, USA.
Nitin S BaligaInstitute for Systems Biology, Seattle, WA, 98109, USA. nbaliga@systemsbiology.org.ORCID 0000-0001-9157-5974

Funding

DOE | Office of Science (SC) DE-AC02-05CH11231
6 · The paper itself

Abstract

Resource partitioning is central to the incredible productivity of microbial communities, including gigatons in annual methane emissions through syntrophic interactions. Previous work revealed how a sulfate reducer (Desulfovibrio vulgaris, Dv) and a methanogen (Methanococcus maripaludis, Mm) underwent evolutionary diversification in a planktonic context, improving stability, cooperativity, and productivity within 300-1000 generations. Here, we show that mutations in just 15 Dv and 7 Mm genes within a minimal assemblage of this evolved community gave rise to co-existing ecotypes that were spatially enriched within a few days of culturing in a fluidized bed reactor. The spatially segregated communities partitioned resources in the simulated subsurface environment, with greater lactate utilization by attached Dv but partial utilization of resulting H

Indexed as

Desulfovibrio vulgarisEcotypeMethaneMethanococcusMutationDirected Molecular EvolutionHydrogenMicrobiotaHydrogenMethane

Identifiers

PMID39198408
PMCPMC11358416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.