Evidence map›Paper›PMID 28045457›Full record

ArticleThe ISME journal2017

Endemicity of the cosmopolitan mesophilic chemolithoautotroph Sulfurimonas at deep-sea hydrothermal vents.

Sayaka Mino, Satoshi Nakagawa, Hiroko Makita, Tomohiro Toki, Junichi Miyazaki, Stefan M Sievert, Martin F Polz, Fumio Inagaki, Anne Godfroy, Shingo Kato and 8 more

Abstract read
In one paragraph

Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. Characterization ofFrontiers in microbiology · 2021
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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

18 authors.

Sayaka MinoLaboratory of Microbiology, Faculty of Fisheries Sciences, Hokkaido University, Hakodate, Japan.
Satoshi NakagawaLaboratory of Marine Environmental Microbiology, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
Hiroko MakitaDepartment of Subsurface Geobiology Analysis and Research (D-SUGAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Tomohiro TokiDepartment of Chemistry, Biology, and Marine Science, Faculty of Science, University of the Ryukyus, Nishihara, Japan.
Junichi MiyazakiDepartment of Subsurface Geobiology Analysis and Research (D-SUGAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Stefan M SievertDepartment of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.
Martin F PolzDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Fumio InagakiKochi Institute for Core Sample Research, JAMSTEC, Nankoku, Japan.ORCID 0000-0003-2887-6525
Anne GodfroyIfremer, UMR6197, Laboratoire de Microbiologie des Environnements Extrêmes, Plouzané, France.
Shingo KatoJapan Collection of Microorganisms, RIKEN BioResource Center, Tsukuba, Japan.
Hiromi WatanabeDepartment of Marine Biodiversity Research, JAMSTEC, Yokosuka, Japan.
Takuro NunouraResearch and Development Center for Marine Biosciences, JAMSTEC, Yokosuka, Japan.ORCID 0000-0003-2323-0880
Koichi NakamuraNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.
Hiroyuki ImachiDepartment of Subsurface Geobiology Analysis and Research (D-SUGAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Tomo-O WatsujiDepartment of Subsurface Geobiology Analysis and Research (D-SUGAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Shigeaki KojimaAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan.
Ken TakaiDepartment of Subsurface Geobiology Analysis and Research (D-SUGAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
Tomoo SawabeLaboratory of Microbiology, Faculty of Fisheries Sciences, Hokkaido University, Hakodate, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rich animal and microbial communities have been found at deep-sea hydrothermal vents. Although the biogeography of vent macrofauna is well understood, the corresponding knowledge about vent microbial biogeography is lacking. Here, we apply the multilocus sequence analysis (MLSA) to assess the genetic variation of 109 Sulfurimonas strains with ⩾98% 16S rRNA gene sequence similarity, which were isolated from four different geographical regions (Okinawa Trough (OT), Mariana Volcanic Arc and Trough (MVAT), Central Indian Ridge (CIR) and Mid-Atlantic Ridge (MAR)). Sequence typing based on 11 protein-coding genes revealed high genetic variation, including some allele types that are widespread within regions, resulting in 102 nucleotide sequence types (STs). This genetic variation was predominantly due to mutation rather than recombination. Phylogenetic analysis of the 11 concatenated genes showed a clear geographical isolation corresponding to the hydrothermal regions they originated from, suggesting limited dispersal. Genetic differentiation among Sulfurimonas populations was primarily influenced by geographical distance rather than gas composition of vent fluid or habitat, although in situ environmental conditions of each microhabitat could not be examined. Nevertheless, Sulfurimonas may possess a higher dispersal capability compared with deep-sea hydrothermal vent thermophiles. This is the first report on MLSA of deep-sea hydrothermal vent Epsilonproteobacteria, which is indicative of allopatric speciation.

Indexed as

Genetic VariationAnimalsEcosystemEpsilonproteobacteriaHydrothermal VentsPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID28045457
PMCPMC5364360

What OpenQuestion holds

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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.