Evidence map›Paper›PMID 30038374›Full record

ArticleNature communications2018

Microbial biogeography of 925 geothermal springs in New Zealand.

Jean F Power, Carlo R Carere, Charles K Lee, Georgia L J Wakerley, David W Evans, Mathew Button, Duncan White, Melissa D Climo, Annika M Hinze, Xochitl C Morgan and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

122 citing papers in PubMed.

  1. Article
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  7. Review
  8. Hawaiian Geothermal Fumaroles Contain Diverse and Novel Viruses.bioRxiv : the preprint server for biology · 2026
    Article
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  10. Review
  11. Article
  12. Article
  13. Article
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  20. Article

62 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

13 authors.

Jean F PowerGeomicrobiology Research Group, Department of Geothermal Sciences, GNS Science, Taupō, 3384, New Zealand.ORCID http://orcid.org/0000-0003-4250-8892
Carlo R CarereGeomicrobiology Research Group, Department of Geothermal Sciences, GNS Science, Taupō, 3384, New Zealand.
Charles K LeeThermophile Research Unit, School of Science, University of Waikato, Hamilton, 3240, New Zealand.
Georgia L J WakerleyThermophile Research Unit, School of Science, University of Waikato, Hamilton, 3240, New Zealand.
David W EvansGeomicrobiology Research Group, Department of Geothermal Sciences, GNS Science, Taupō, 3384, New Zealand.
Mathew ButtonDepartment of Computer Science, University of Waikato, Hamilton, 3240, New Zealand.
Duncan WhiteWairakei Research Centre, GNS Science, Taupō, 3384, New Zealand.
Melissa D ClimoWairakei Research Centre, GNS Science, Taupō, 3384, New Zealand.
Annika M HinzeDepartment of Computer Science, University of Waikato, Hamilton, 3240, New Zealand.
Xochitl C MorganDepartment of Microbiology and Immunology, University of Otago, Dunedin, 9054, New Zealand.
Ian R McDonaldThermophile Research Unit, School of Science, University of Waikato, Hamilton, 3240, New Zealand.
S Craig CaryThermophile Research Unit, School of Science, University of Waikato, Hamilton, 3240, New Zealand. caryc@waikato.ac.nz.
Matthew B StottGeomicrobiology Research Group, Department of Geothermal Sciences, GNS Science, Taupō, 3384, New Zealand. matthew.stott@canterbury.ac.nz.ORCID http://orcid.org/0000-0002-2082-9460

Funding

Ministry of Business, Innovation and Employment (MBIE) C05X1203
6 · The paper itself

Abstract

Geothermal springs are model ecosystems to investigate microbial biogeography as they represent discrete, relatively homogenous habitats, are distributed across multiple geographical scales, span broad geochemical gradients, and have reduced metazoan interactions. Here, we report the largest known consolidated study of geothermal ecosystems to determine factors that influence biogeographical patterns. We measured bacterial and archaeal community composition, 46 physicochemical parameters, and metadata from 925 geothermal springs across New Zealand (13.9-100.6 °C and pH < 1-9.7). We determined that diversity is primarily influenced by pH at temperatures <70 °C; with temperature only having a significant effect for values >70 °C. Further, community dissimilarity increases with geographic distance, with niche selection driving assembly at a localised scale. Surprisingly, two genera (Venenivibrio and Acidithiobacillus) dominated in both average relative abundance (11.2% and 11.1%, respectively) and prevalence (74.2% and 62.9%, respectively). These findings provide an unprecedented insight into ecological behaviour in geothermal springs, and a foundation to improve the characterisation of microbial biogeographical processes.

Indexed as

EcosystemArchaeaBacteriaClassificationGeographyHot SpringsHot TemperatureHydrogen-Ion ConcentrationMicrobiotaNew ZealandPrevalenceSequence Analysis, DNA

Identifiers

PMID30038374
PMCPMC6056493

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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.