Evidence map›Paper›PMID 30619848›Full record

ArticleFrontiers in bioengineering and biotechnology2018

The Relationship Between Microbial Community Structures and Environmental Parameters Revealed by Metagenomic Analysis of Hot Spring Water in the Kirishima Area, Japan.

Eri Nishiyama, Koichi Higashi, Hiroshi Mori, Konomi Suda, Hitomi Nakamura, Soichi Omori, Shigenori Maruyama, Yuichi Hongoh, Ken Kurokawa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Metagenomic Thermometer.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  8. Article
  9. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors at 5 institutions in 1 country.

Eri NishiyamaBiotechnological Research Support Division, FASMAC Co. Ltd, Kanagawa, Japan.
Koichi HigashiCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Hiroshi MoriCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Konomi SudaInstitute for Geo-Resources and Environment, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
Hitomi NakamuraDepartment of Solid Earth Geochemistry, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan.
Soichi OmoriFaculty of Liberal Arts, The Open University of Japan, Chiba, Japan.
Shigenori MaruyamaDepartment of Earth and Planetary Sciences, Tokyo Institute of Technology, Tokyo, Japan.
Yuichi HongohSchool of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan.
Ken KurokawaCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
National Institute of Genetics · JPTokyo Institute of Technology · JPJapan Agency for Marine-Earth Science and Technology · JPNational Institute of Advanced Industrial Science and Technology · JPThe Open University of Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diverse microorganisms specifically inhabit extreme environments, such as hot springs and deep-sea hydrothermal vents. To test the hypothesis that the microbial community structure is predictable based on environmental factors characteristic of such extreme environments, we conducted correlation analyses of microbial taxa/functions and environmental factors using metagenomic and 61 types of physicochemical data of water samples from nine hot springs in the Kirishima area (Kyusyu, Japan), where hot springs with diverse chemical properties are distributed in a relatively narrow area. Our metagenomic analysis revealed that the samples can be classified into two major types dominated by either phylum Crenarchaeota or phylum Aquificae. The correlation analysis showed that Crenarchaeota dominated in nutrient-rich environments with high concentrations of ions and total carbons, whereas Aquificae dominated in nutrient-poor environments with low ion concentrations. These environmental factors were also important explanatory variables in the generalized linear models constructed to predict the abundances of Crenarchaeota or Aquificae. Functional enrichment analysis of genes also revealed that the separation of the two major types is primarily attributable to genes involved in autotrophic carbon fixation, sulfate metabolism and nitrate reduction. Our results suggested that Aquificae and Crenarchaeota play a vital role in the Kirishima hot spring water ecosystem through their metabolic pathways adapted to each environment. Our findings provide a basis to predict microbial community structures in hot springs from environmental parameters, and also provide clues for the exploration of biological resources in extreme environments.

Indexed as

environmental parametersextreme environmentshot springsmetagenomemicroorganisms

Identifiers

PMID30619848
PMCPMC6306410
OpenAlexW2906657418

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.