Evidence map›Paper›PMID 33795828›Full record

ArticleThe ISME journal2021

Genomes of Thaumarchaeota from deep sea sediments reveal specific adaptations of three independently evolved lineages.

Melina Kerou, Rafael I Ponce-Toledo, Rui Zhao, Sophie S Abby, Miho Hirai, Hidetaka Nomaki, Yoshihiro Takaki, Takuro Nunoura, Steffen L Jørgensen, Christa Schleper

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.4field-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

37 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  4. Diversity of Archaea.Progress in molecular and subcellular biology · 2026
    Review
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  9. Nitrous oxide production via enzymatic nitroxyl from the nitrifying archaeonProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  16. Exploring the enzymatic repertoires of Bacteria and Archaea and their associations with metabolic maps.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  17. Review
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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 4 institutions in 5 countries.

Melina Kerou *Department of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-1657-3041
Rafael I Ponce-Toledo *Department of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, Vienna, Austria.
Rui ZhaoDepartment of Earth Science, K.G. Jebsen Centre for Deep Sea Research, University of Bergen, Bergen, Norway.
Sophie S AbbyDepartment of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-5231-3346
Miho HiraiSuper-cutting-edge Grand and Advanced Research (SUGAR) Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Hidetaka NomakiSuper-cutting-edge Grand and Advanced Research (SUGAR) Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Yoshihiro TakakiSuper-cutting-edge Grand and Advanced Research (SUGAR) Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.ORCID http://orcid.org/0000-0002-1247-4946
Takuro NunouraResearch Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.ORCID http://orcid.org/0000-0003-2323-0880
Steffen L JørgensenDepartment of Earth Science, K.G. Jebsen Centre for Deep Sea Research, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0003-0240-7907
Christa SchleperDepartment of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, Vienna, Austria. christa.schleper@univie.ac.at.ORCID http://orcid.org/0000-0002-1918-2735
Japan Agency for Marine-Earth Science and Technology · JPUniversity of Vienna · ATUniversity of Bergen · NOCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine sediments represent a vast habitat for complex microbiomes. Among these, ammonia oxidizing archaea (AOA) of the phylum Thaumarchaeota are one of the most common, yet little explored, inhabitants, which seem extraordinarily well adapted to the harsh conditions of the subsurface biosphere. We present 11 metagenome-assembled genomes of the most abundant AOA clades from sediment cores obtained from the Atlantic Mid-Ocean ridge flanks and Pacific abyssal plains. Their phylogenomic placement reveals three independently evolved clades within the order Nitrosopumilales, of which no cultured representative is known yet. In addition to the gene sets for ammonia oxidation and carbon fixation known from other AOA, all genomes encode an extended capacity for the conversion of fermentation products that can be channeled into the central carbon metabolism, as well as uptake of amino acids probably for protein maintenance or as an ammonia source. Two lineages encode an additional (V-type) ATPase and a large repertoire of DNA repair systems that may allow to overcome the challenges of high hydrostatic pressure. We suggest that the adaptive radiation of AOA into marine sediments occurred more than once in evolution and resulted in three distinct lineages with particular adaptations to this extremely energy-limiting and high-pressure environment.

Indexed as

AmmoniaArchaeaGeologic SedimentsMetagenomeOxidation-ReductionPhylogenyAmmonia

Identifiers

PMID33795828
PMCPMC8397731
OpenAlexW3145609364

What OpenQuestion holds

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Registered trials

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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.