Evidence map›Paper›PMID 36639537›Full record

ArticleThe ISME journal2023

Gene loss and symbiont switching during adaptation to the deep sea in a globally distributed symbiosis.

Jay T Osvatic, Benedict Yuen, Martin Kunert, Laetitia Wilkins, Bela Hausmann, Peter Girguis, Kennet Lundin, John Taylor, Guillaume Jospin, Jillian M Petersen

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.9field-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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  12. mSystems · 2024
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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

10 authors at 7 institutions in 5 countries.

Jay T Osvatic *University of Vienna, Centre for Microbiology and Environmental Systems Science, Department for Microbiology and Ecosystem Science, Division of Microbial Ecology, Djerassiplatz 1, 1030, Vienna, Austria. jay.osvatic@univie.ac.at.ORCID 0000-0002-7765-0058
Benedict Yuen *University of Vienna, Centre for Microbiology and Environmental Systems Science, Department for Microbiology and Ecosystem Science, Division of Microbial Ecology, Djerassiplatz 1, 1030, Vienna, Austria.ORCID 0000-0002-4979-0862
Martin KunertUniversity of Vienna, Centre for Microbiology and Environmental Systems Science, Department for Microbiology and Ecosystem Science, Division of Microbial Ecology, Djerassiplatz 1, 1030, Vienna, Austria.
Laetitia WilkinsEco-Evolutionary Interactions Group, Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28209, Bremen, Germany.
Bela HausmannJoint Microbiome Facility of the Medical University of Vienna and the University of Vienna, 1030, Vienna, Austria.ORCID 0000-0002-0846-1202
Peter GirguisDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.ORCID 0000-0002-3599-8160
Kennet LundinGothenburg Natural History Museum, Box 7283, 40235, Gothenburg, Sweden.
John TaylorNatural History Museum, Cromwell Rd, London, SW7 5BD, UK.
Guillaume JospinAnimalBiome, 400 29th Street, Suite 502, Oakland, CA, 94609, USA.
Jillian M PetersenUniversity of Vienna, Centre for Microbiology and Environmental Systems Science, Department for Microbiology and Ecosystem Science, Division of Microbial Ecology, Djerassiplatz 1, 1030, Vienna, Austria. jillian.petersen@univie.ac.at.ORCID 0000-0002-9852-3445
University of Vienna · ATHarvard University · USMax Planck Institute for Marine Microbiology · DEMedical University of Vienna · ATNatural History Museum · GBOncoMed (United States) · USSwedish Museum of Natural History · SE

Funding

Austrian Science Fund FWF DOC 69
6 · The paper itself

Abstract

Chemosynthetic symbioses between bacteria and invertebrates occur worldwide from coastal sediments to the deep sea. Most host groups are restricted to either shallow or deep waters. In contrast, Lucinidae, the most species-rich family of chemosymbiotic invertebrates, has both shallow- and deep-sea representatives. Multiple lucinid species have independently colonized the deep sea, which provides a unique framework for understanding the role microbial symbionts play in evolutionary transitions between shallow and deep waters. Lucinids acquire their symbionts from their surroundings during early development, which may allow them to flexibly acquire symbionts that are adapted to local environments. Via metagenomic analyses of museum and other samples collected over decades, we investigated the biodiversity and metabolic capabilities of the symbionts of 22 mostly deep-water lucinid species. We aimed to test the theory that the symbiont played a role in adaptation to life in deep-sea habitats. We identified 16 symbiont species, mostly within the previously described genus Ca. Thiodiazotropha. Most genomic functions were shared by both shallow-water and deep-sea Ca. Thiodiazotropha, though nitrogen fixation was exclusive to shallow-water species. We discovered multiple cases of symbiont switching near deep-sea hydrothermal vents and cold seeps, where distantly related hosts convergently acquired novel symbionts from a different bacterial order. Finally, analyses of selection revealed consistently stronger purifying selection on symbiont genomes in two extreme habitats - hydrothermal vents and an oxygen-minimum zone. Our findings reveal that shifts in symbiont metabolic capability and, in some cases, acquisition of a novel symbiont accompanied adaptation of lucinids to challenging deep-sea habitats.

Indexed as

Hydrothermal VentsSymbiosisAdaptation, PhysiologicalBacteriaBiological EvolutionPhylogenyWaterWater

Identifiers

PMID36639537
PMCPMC9938160
OpenAlexW4315864842

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.