Evidence map›Paper›PMID 23851394›Full record

ArticleNature2013

Insights into the phylogeny and coding potential of microbial dark matter.

Christian Rinke, Patrick Schwientek, Alexander Sczyrba, Natalia N Ivanova, Iain J Anderson, Jan-Fang Cheng, Aaron Darling, Stephanie Malfatti, Brandon K Swan, Esther A Gies and 12 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,193 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,193citing papers in PubMed, 1 pooled it
89.1field-weighted citation impact, top 1% 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

1,193 citing papers in PubMed, 1 synthesis or guideline pooled it, 2,411 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1,133 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 5 countries.

Christian RinkeDOE Joint Genome Institute, Walnut Creek, California 94598, USA.
Patrick Schwientek
Alexander Sczyrba
Natalia N Ivanova
Iain J Anderson
Jan-Fang Cheng
Aaron Darling
Stephanie Malfatti
Brandon K Swan
Esther A Gies
Jeremy A Dodsworth
Brian P Hedlund
George Tsiamis
Stefan M Sievert
Wen-Tso Liu
Jonathan A Eisen
Steven J Hallam
Nikos C Kyrpides
Ramunas Stepanauskas
Edward M Rubin
Philip Hugenholtz
Tanja Woyke
Joint Genome Institute · USBigelow Laboratory for Ocean Sciences · USUniversity of British Columbia · CAUniversity of Nevada, Las Vegas · USThe University of Queensland · AUUniversity of California, Davis · USUniversity of Illinois Urbana-Champaign · USUniversity of Patras · GRUniversity of Technology Sydney · AUWoods Hole Oceanographic Institution · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome sequencing enhances our understanding of the biological world by providing blueprints for the evolutionary and functional diversity that shapes the biosphere. However, microbial genomes that are currently available are of limited phylogenetic breadth, owing to our historical inability to cultivate most microorganisms in the laboratory. We apply single-cell genomics to target and sequence 201 uncultivated archaeal and bacterial cells from nine diverse habitats belonging to 29 major mostly uncharted branches of the tree of life, so-called 'microbial dark matter'. With this additional genomic information, we are able to resolve many intra- and inter-phylum-level relationships and to propose two new superphyla. We uncover unexpected metabolic features that extend our understanding of biology and challenge established boundaries between the three domains of life. These include a novel amino acid use for the opal stop codon, an archaeal-type purine synthesis in Bacteria and complete sigma factors in Archaea similar to those in Bacteria. The single-cell genomes also served to phylogenetically anchor up to 20% of metagenomic reads in some habitats, facilitating organism-level interpretation of ecosystem function. This study greatly expands the genomic representation of the tree of life and provides a systematic step towards a better understanding of biological evolution on our planet.

Indexed as

MetagenomicsPhylogenyArchaeaBacteriaEcosystemGenome, ArchaealGenome, BacterialMetagenomeMolecular Sequence DataSequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID23851394
OpenAlexW2166123725

What OpenQuestion holds

Textmetadata
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.