Evidence map›Paper›PMID 20333304›Full record

ArticlePloS one2010

Metagenomes from high-temperature chemotrophic systems reveal geochemical controls on microbial community structure and function.

William P Inskeep, Douglas B Rusch, Zackary J Jay, Markus J Herrgard, Mark A Kozubal, Toby H Richardson, Richard E Macur, Natsuko Hamamura, Ryan deM Jennings, Bruce W Fouke and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
23.9field-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

108 citing papers in PubMed, 212 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The Diversity of Bacteriophages in Hot Springs.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  10. Exploring the Archaeal Virosphere by Metagenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Microbial diversity in extreme environments.Nature reviews. Microbiology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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

21 authors at 7 institutions in 2 countries.

William P InskeepThermal Biology Institute and Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, United States of America. binskeep@montana.edu
Douglas B Rusch
Zackary J Jay
Markus J Herrgard
Mark A Kozubal
Toby H Richardson
Richard E Macur
Natsuko Hamamura
Ryan deM Jennings
Bruce W Fouke
Anna-Louise Reysenbach
Frank Roberto
Mark Young
Ariel Schwartz
Eric S Boyd
Jonathan H Badger
Eric J Mathur
Alice C Ortmann
Mary Bateson
Gill Geesey
Marvin Frazier
Montana State University · USSynthetic Genomics (United States) · USJ. Craig Venter Institute · USEhime University · JPIdaho National Laboratory · USUniversity of Illinois System · USUniversity of South Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yellowstone caldera contains the most numerous and diverse geothermal systems on Earth, yielding an extensive array of unique high-temperature environments that host a variety of deeply-rooted and understudied Archaea, Bacteria and Eukarya. The combination of extreme temperature and chemical conditions encountered in geothermal environments often results in considerably less microbial diversity than other terrestrial habitats and offers a tremendous opportunity for studying the structure and function of indigenous microbial communities and for establishing linkages between putative metabolisms and element cycling. Metagenome sequence (14-15,000 Sanger reads per site) was obtained for five high-temperature (>65 degrees C) chemotrophic microbial communities sampled from geothermal springs (or pools) in Yellowstone National Park (YNP) that exhibit a wide range in geochemistry including pH, dissolved sulfide, dissolved oxygen and ferrous iron. Metagenome data revealed significant differences in the predominant phyla associated with each of these geochemical environments. Novel members of the Sulfolobales are dominant in low pH environments, while other Crenarchaeota including distantly-related Thermoproteales and Desulfurococcales populations dominate in suboxic sulfidic sediments. Several novel archaeal groups are well represented in an acidic (pH 3) Fe-oxyhydroxide mat, where a higher O2 influx is accompanied with an increase in archaeal diversity. The presence or absence of genes and pathways important in S oxidation-reduction, H2-oxidation, and aerobic respiration (terminal oxidation) provide insight regarding the metabolic strategies of indigenous organisms present in geothermal systems. Multiple-pathway and protein-specific functional analysis of metagenome sequence data corroborated results from phylogenetic analyses and clearly demonstrate major differences in metabolic potential across sites. The distribution of functional genes involved in electron transport is consistent with the hypothesis that geochemical parameters (e.g., pH, sulfide, Fe, O2) control microbial community structure and function in YNP geothermal springs.

Indexed as

Hot TemperatureMetagenomeArchaeaBacteriaGeologyHemeHot SpringsHydrogen-Ion ConcentrationIronOxidoreductasesOxygenPhylogenyRNA, Ribosomal, 16SSulfidesTemperatureWater Microbiologycopper oxidaseHemeIronOxidoreductasesOxygenRNA, Ribosomal, 16SSulfides

Identifiers

PMID20333304
PMCPMC2841643
OpenAlexW2052316443

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.