Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan

Abstract Although numerous metagenome, amplicon sequencing-based studies have been conducted to date to characterize marine microbial communities, relatively few have employed full metagenome shotgun sequencing to obtain a broader picture of the functional features of these marine microbial communit...

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Autores principales: Kazutoshi Yoshitake, Gaku Kimura, Tomoko Sakami, Tsuyoshi Watanabe, Yukiko Taniuchi, Shigeho Kakehi, Akira Kuwata, Haruyo Yamaguchi, Takafumi Kataoka, Masanobu Kawachi, Kazuho Ikeo, Engkong Tan, Yoji Igarashi, Masafumi Ohtsubo, Shugo Watabe, Yutaka Suzuki, Shuichi Asakawa, Sonoko Ishino, Kosuke Tashiro, Yoshizumi Ishino, Takanori Kobayashi, Katsuhiko Mineta, Takashi Gojobori
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:156306e1f15f4c56b1f3f60e54193e472021-12-02T14:58:24ZDevelopment of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan10.1038/s41598-021-91615-32045-2322https://doaj.org/article/156306e1f15f4c56b1f3f60e54193e472021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91615-3https://doaj.org/toc/2045-2322Abstract Although numerous metagenome, amplicon sequencing-based studies have been conducted to date to characterize marine microbial communities, relatively few have employed full metagenome shotgun sequencing to obtain a broader picture of the functional features of these marine microbial communities. Moreover, most of these studies only performed sporadic sampling, which is insufficient to understand an ecosystem comprehensively. In this study, we regularly conducted seawater sampling along the northeastern Pacific coast of Japan between March 2012 and May 2016. We collected 213 seawater samples and prepared size-based fractions to generate 454 subsets of samples for shotgun metagenome sequencing and analysis. We also determined the sequences of 16S rRNA (n = 111) and 18S rRNA (n = 47) gene amplicons from smaller sample subsets. We thereafter developed the Ocean Monitoring Database for time-series metagenomic data ( http://marine-meta.healthscience.sci.waseda.ac.jp/omd/ ), which provides a three-dimensional bird’s-eye view of the data. This database includes results of digital DNA chip analysis, a novel method for estimating ocean characteristics such as water temperature from metagenomic data. Furthermore, we developed a novel classification method that includes more information about viruses than that acquired using BLAST. We further report the discovery of a large number of previously overlooked (TAG)n repeat sequences in the genomes of marine microbes. We predict that the availability of this time-series database will lead to major discoveries in marine microbiome research.Kazutoshi YoshitakeGaku KimuraTomoko SakamiTsuyoshi WatanabeYukiko TaniuchiShigeho KakehiAkira KuwataHaruyo YamaguchiTakafumi KataokaMasanobu KawachiKazuho IkeoEngkong TanYoji IgarashiMasafumi OhtsuboShugo WatabeYutaka SuzukiShuichi AsakawaSonoko IshinoKosuke TashiroYoshizumi IshinoTakanori KobayashiKatsuhiko MinetaTakashi GojoboriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kazutoshi Yoshitake
Gaku Kimura
Tomoko Sakami
Tsuyoshi Watanabe
Yukiko Taniuchi
Shigeho Kakehi
Akira Kuwata
Haruyo Yamaguchi
Takafumi Kataoka
Masanobu Kawachi
Kazuho Ikeo
Engkong Tan
Yoji Igarashi
Masafumi Ohtsubo
Shugo Watabe
Yutaka Suzuki
Shuichi Asakawa
Sonoko Ishino
Kosuke Tashiro
Yoshizumi Ishino
Takanori Kobayashi
Katsuhiko Mineta
Takashi Gojobori
Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
description Abstract Although numerous metagenome, amplicon sequencing-based studies have been conducted to date to characterize marine microbial communities, relatively few have employed full metagenome shotgun sequencing to obtain a broader picture of the functional features of these marine microbial communities. Moreover, most of these studies only performed sporadic sampling, which is insufficient to understand an ecosystem comprehensively. In this study, we regularly conducted seawater sampling along the northeastern Pacific coast of Japan between March 2012 and May 2016. We collected 213 seawater samples and prepared size-based fractions to generate 454 subsets of samples for shotgun metagenome sequencing and analysis. We also determined the sequences of 16S rRNA (n = 111) and 18S rRNA (n = 47) gene amplicons from smaller sample subsets. We thereafter developed the Ocean Monitoring Database for time-series metagenomic data ( http://marine-meta.healthscience.sci.waseda.ac.jp/omd/ ), which provides a three-dimensional bird’s-eye view of the data. This database includes results of digital DNA chip analysis, a novel method for estimating ocean characteristics such as water temperature from metagenomic data. Furthermore, we developed a novel classification method that includes more information about viruses than that acquired using BLAST. We further report the discovery of a large number of previously overlooked (TAG)n repeat sequences in the genomes of marine microbes. We predict that the availability of this time-series database will lead to major discoveries in marine microbiome research.
format article
author Kazutoshi Yoshitake
Gaku Kimura
Tomoko Sakami
Tsuyoshi Watanabe
Yukiko Taniuchi
Shigeho Kakehi
Akira Kuwata
Haruyo Yamaguchi
Takafumi Kataoka
Masanobu Kawachi
Kazuho Ikeo
Engkong Tan
Yoji Igarashi
Masafumi Ohtsubo
Shugo Watabe
Yutaka Suzuki
Shuichi Asakawa
Sonoko Ishino
Kosuke Tashiro
Yoshizumi Ishino
Takanori Kobayashi
Katsuhiko Mineta
Takashi Gojobori
author_facet Kazutoshi Yoshitake
Gaku Kimura
Tomoko Sakami
Tsuyoshi Watanabe
Yukiko Taniuchi
Shigeho Kakehi
Akira Kuwata
Haruyo Yamaguchi
Takafumi Kataoka
Masanobu Kawachi
Kazuho Ikeo
Engkong Tan
Yoji Igarashi
Masafumi Ohtsubo
Shugo Watabe
Yutaka Suzuki
Shuichi Asakawa
Sonoko Ishino
Kosuke Tashiro
Yoshizumi Ishino
Takanori Kobayashi
Katsuhiko Mineta
Takashi Gojobori
author_sort Kazutoshi Yoshitake
title Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
title_short Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
title_full Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
title_fullStr Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
title_full_unstemmed Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan
title_sort development of a time-series shotgun metagenomics database for monitoring microbial communities at the pacific coast of japan
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/156306e1f15f4c56b1f3f60e54193e47
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