Evidence map›Paper›PMID 35466505›Full record

ArticleEnvironmental microbiology2022

Into the darkness: the ecologies of novel 'microbial dark matter' phyla in an Antarctic lake.

Timothy J Williams, Michelle A Allen, Pratibha Panwar, Ricardo Cavicchioli

Abstract read
In one paragraph

Article in Environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Candidatus List No. 6.International journal of systematic and evolutionary microbiology · 2025
    Article
  3. Article
  4. Article
  5. The dynamic history of prokaryotic phyla: discovery, diversity and division.International journal of systematic and evolutionary microbiology · 2024
    Review
  6. Article
  7. Novel endolithic bacteria of phylumApplied and environmental microbiology · 2024
    Article
  8. Article
  9. Review
  10. 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

4 authors.

Timothy J WilliamsSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
Michelle A AllenSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
Pratibha PanwarSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
Ricardo CavicchioliSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.ORCID 0000-0001-8989-6402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncultivated microbial clades ('microbial dark matter') are inferred to play important but uncharacterized roles in nutrient cycling. Using Antarctic lake (Ace Lake, Vestfold Hills) metagenomes, 12 metagenome-assembled genomes (MAGs; 88%-100% complete) were generated for four 'dark matter' phyla: six MAGs from Candidatus Auribacterota (=Aureabacteria, SURF-CP-2), inferred to be hydrogen- and sulfide-producing fermentative heterotrophs, with individual MAGs encoding bacterial microcompartments (BMCs), gas vesicles, and type IV pili; one MAG (100% complete) from Candidatus Hinthialibacterota (=OLB16), inferred to be a facultative anaerobe capable of dissimilatory nitrate reduction to ammonia, specialized for mineralization of complex organic matter (e.g. sulfated polysaccharides), and encoding BMCs, flagella, and Tad pili; three MAGs from Candidatus Electryoneota (=AABM5-125-24), previously reported to include facultative anaerobes capable of dissimilatory sulfate reduction, and here inferred to perform sulfite oxidation, reverse tricarboxylic acid cycle for autotrophy, and possess numerous proteolytic enzymes; two MAGs from Candidatus Lernaellota (=FEN-1099), inferred to be capable of formate oxidation, amino acid fermentation, and possess numerous enzymes for protein and polysaccharide degradation. The presence of 16S rRNA gene sequences in public metagenome datasets (88%-100% identity) suggests these 'dark matter' phyla contribute to sulfur cycling, degradation of complex organic matter, ammonification and/or chemolithoautotrophic CO

Indexed as

LakesMetagenomeAntarctic RegionsBacteriaDarknessRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID35466505
PMCPMC9324843

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.