Literature DB >> 31439699

The Bacterial Community in the Western Region of North Pacific Intermediate Water.

Maki Teramoto1, Ayumi Komatsu2, Kouhei Ohnishi3.   

Abstract

The bacterial composition in North Pacific Intermediate Water (NPIW) was investigated in three different years and compared with that in other seawaters around Japan. The results indicated that bacterial composition was surprisingly stable at the same point in a mesopelagic water mass throughout the years and supported previous physicochemical observations that NPIW is distributed to Kumejima, Japan.
Copyright © 2019 Teramoto et al.

Entities:  

Year:  2019        PMID: 31439699      PMCID: PMC6706691          DOI: 10.1128/MRA.00757-19

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Bacterial distribution is related to hydrography and water masses in deep-sea environments (1, 2). However, long-term changes in bacterial distribution remain largely unknown in mesopelagic water masses (200 to 1,000 m depth). Therefore, in this study, bacterial composition was investigated in a mesopelagic water mass, North Pacific Intermediate Water (NPIW), at Muroto in Japan (3) (http://www.jamstec.go.jp/J-ARGO/index_e.html) in three different years. For comparison, other mesopelagic water masses, the Rausu water mass and Japan Sea Proper Water (3) (http://www.jamstec.go.jp/J-ARGO/index_e.html), as well as surface seawaters around Japan were also investigated. The analyzed seawaters are summarized in Table 1. Mesopelagic waters were sampled by local facilities such as the Kochi Prefectural Deep Seawater Laboratory. Microorganisms in seawater (12 to 30 liters for mesopelagic water and 2 to 6 liters for surface seawater) were collected on a filter with 0.22-μm pores (Express Plus; Millipore) immediately after fresh seawater was obtained or stored at 4°C overnight. The bacteria on the filters were immediately stored at −80°C or dried at 55°C and kept dry before storage at −80°C until DNA extraction.
TABLE 1

Seawater samples analyzed in this study and the number of 16S rRNA gene fragment sequences analyzed and species-level OTUs found for the sequences from each seawater sample

Sample type by location (depth [m])CoordinatesMesopelagic water massa Time (mo/yr)Temp (°C)b No. of 16S rRNA gene fragment sequencesc No. of OTUsd DDBJ accession no.
Pacific
    Muroto, Kochi
        Mesopelagic (320)33°18′N, 134°14′ENPIW7/2011ND7,7462,331DRA001052
        Mesopelagic (320)33°18′N, 134°14′ENPIW1/2012ND1,321650DRA005075
        Mesopelagic (320)33°18′N, 134°14′ENPIW11/2013ND1,404543DRA005076
        Surface (0.5)33°18′N, 134°11′E7/201125.77,5132,853DRA001054
        Surface (0.5)33°18′N, 134°11′E11/201121.37,1192,375DRA001053
    Okinawa
        Mesopelagic at Kumejima (612)26°23′N, 126°48′E“NPIW”11/2013ND1,629586DRA005079
        Surface at Okinawa Main Island (0)26°23′N, 127°59′E10/201325.21,675550DRA005081
        Surface at Ishigaki Island (0)24°27′N, 124°9′E4/201322.3867337DRA005080
    Suruga, Shizuoka
        Mesopelagic (397)34°51′N, 138°21′E“NPIW”11/2011ND7,7692,811DRA001055
        Surface (0)34°38′N, 138°24′E11/201123.59,0481,723DRA001056
    Rausu, Hokkaido
        Mesopelagic (350)44°37′N, 145°14′E“Rausu”11/2013ND1,329533DRA005078
Japan Sea
    Noto, Ishikawa
        Mesopelagic (320)37°17′N, 137°16′E“JSPW”11/2011ND8,4452,288DRA001057
        Surface (0)37°18′N, 137°14′E11/201120.58,0081,442DRA001058
    Iwanai, Hokkaido
        Mesopelagic (300)43°00′N, 140°25′E“JSPW”11/2013ND1,799796DRA005077
Total65,67215,520

The original water masses were deduced from the description by Taniguchi (3) and from temperature-salinity data, close to the sampling locations, from Argo JAMSTEC (http://www.jamstec.go.jp/J-ARGO/index_e.html). NPIW, North Pacific intermediate water; “NPIW”, probably NPIW; “Rausu”, probably Rausu water mass; “JSPW”, probably Japan Sea Proper Water.

ND, no data available.

The gene fragment sequences ranged in size from 230 to 562 bp.

OTUs were detected using QIIME version 1.9 for all seawater samples (65,672 sequences) and not for each seawater sample.

Seawater samples analyzed in this study and the number of 16S rRNA gene fragment sequences analyzed and species-level OTUs found for the sequences from each seawater sample The original water masses were deduced from the description by Taniguchi (3) and from temperature-salinity data, close to the sampling locations, from Argo JAMSTEC (http://www.jamstec.go.jp/J-ARGO/index_e.html). NPIW, North Pacific intermediate water; “NPIW”, probably NPIW; “Rausu”, probably Rausu water mass; “JSPW”, probably Japan Sea Proper Water. ND, no data available. The gene fragment sequences ranged in size from 230 to 562 bp. OTUs were detected using QIIME version 1.9 for all seawater samples (65,672 sequences) and not for each seawater sample. DNA extraction, PCR amplification of the V1 to V3 region of the 16S rRNA bacterial gene, emulsion-based clonal amplification using a Lib-A kit (Roche), and sequencing on the GS Junior 454 system (Roche) were conducted as described previously (4). Tag and primer regions used for PCR were removed from the sequences by QIIME (http://qiime.org/) (5) and manually in Se-Al after alignment in ClustalX (version 2.1) (6). Chimeric sequences were checked and removed by either Bellerophon (7) and Mallard (8) or DECIPHER (9) and USEARCH 6.0 (http://fungene.cme.msu.edu/FunGenePipeline/chimera_check/form.spr) (10, 11) programs. Furthermore, sequences considered nonbacterial by the Ribosomal Database Project Classifier with a confidence threshold of 80% (12, 13) were removed. Then, the remaining 65,672 sequences were analyzed in this study. QIIME version 1.9 was used for clustering the 65,672 sequences into operational taxonomic units (OTUs; maximum distance of 0.03, grouping at the species level) using uclust (10), selecting representative sequences from each OTU (10), and assigning their taxonomy (14, 15) against the BLAST database (16). Based on the percent OTU composition profiles of waters, a nonmetric multidimensional scaling (NMDS) plot based on Bray-Curtis similarity was constructed using the PAST software (version 2.15) (17). Default parameters were used for all software programs, unless otherwise stated. NMDS and abundant OTU results showed that bacterial species composition was quite stable in NPIW at Muroto through seasons and years, indicating that the composition was stable at the same point in a mesopelagic water mass through the years. The results also showed that the composition at Kumejima was closely related to that in NPIW at Muroto, supporting previous physicochemical data that NPIW is distributed to Kumejima. Characteristically abundant OTUs in (probable) NPIW belonged to Pelagibacteraceae, Piscirickettsiaceae, SAR406, and SAR202. SUP05 bacteria (18–21) seemed to be highly abundant in probable NPIW at Suruga.

Data availability.

The sequences used were deposited in the DDBJ Sequence Read Archive under the accession numbers listed in Table 1.
  18 in total

1.  Bellerophon: a program to detect chimeric sequences in multiple sequence alignments.

Authors:  Thomas Huber; Geoffrey Faulkner; Philip Hugenholtz
Journal:  Bioinformatics       Date:  2004-04-08       Impact factor: 6.937

2.  Search and clustering orders of magnitude faster than BLAST.

Authors:  Robert C Edgar
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

3.  Isolated communities of Epsilonproteobacteria in hydrothermal vent fluids of the Mariana Arc seamounts.

Authors:  Julie A Huber; Holly V Cantin; Susan M Huse; David B Mark Welch; Mitchell L Sogin; David A Butterfield
Journal:  FEMS Microbiol Ecol       Date:  2010-05-14       Impact factor: 4.194

4.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

5.  Hydrography shapes bacterial biogeography of the deep Arctic Ocean.

Authors:  Pierre E Galand; Marianne Potvin; Emilio O Casamayor; Connie Lovejoy
Journal:  ISME J       Date:  2009-12-10       Impact factor: 10.302

6.  Clustal W and Clustal X version 2.0.

Authors:  M A Larkin; G Blackshields; N P Brown; R Chenna; P A McGettigan; H McWilliam; F Valentin; I M Wallace; A Wilm; R Lopez; J D Thompson; T J Gibson; D G Higgins
Journal:  Bioinformatics       Date:  2007-09-10       Impact factor: 6.937

7.  Two bacteria phylotypes are predominant in the Suiyo seamount hydrothermal plume.

Authors:  Michinari Sunamura; Yowsuke Higashi; Chiwaka Miyako; Jun-ichiro Ishibashi; Akihiko Maruyama
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

8.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

9.  New screening software shows that most recent large 16S rRNA gene clone libraries contain chimeras.

Authors:  Kevin E Ashelford; Nadia A Chuzhanova; John C Fry; Antonia J Jones; Andrew J Weightman
Journal:  Appl Environ Microbiol       Date:  2006-09       Impact factor: 4.792

10.  The Ribosomal Database Project: improved alignments and new tools for rRNA analysis.

Authors:  J R Cole; Q Wang; E Cardenas; J Fish; B Chai; R J Farris; A S Kulam-Syed-Mohideen; D M McGarrell; T Marsh; G M Garrity; J M Tiedje
Journal:  Nucleic Acids Res       Date:  2008-11-12       Impact factor: 16.971

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