Literature DB >> 29942984

Improving the standards for gut microbiome analysis of fecal samples: insights from the field biology of Japanese macaques on Yakushima Island.

Takashi Hayakawa1,2, Akiko Sawada3,4, Akifumi S Tanabe5, Shinji Fukuda6,7,8,9, Takushi Kishida10, Yosuke Kurihara4,11, Kei Matsushima10, Jie Liu10, Etienne-Francois Akomo-Okoue12, Waleska Gravena13,14, Makoto Kashima15, Mariko Suzuki16, Kohmei Kadowaki17, Takafumi Suzumura10, Eiji Inoue18, Hideki Sugiura10, Goro Hanya11, Kiyokazu Agata10,19.   

Abstract

Fecal DNA-based 16S ribosomal RNA (rRNA) gene sequencing using next-generation sequencers allows us to understand the dynamic gut microbiome adaptation of animals to their specific habitats. Conventional techniques of fecal microbiome analysis have been developed within the broad contexts defined by human biology; hence, many of these techniques are not immediately applicable to wild nonhuman primates. In order to establish a standard experimental protocol for the analysis of the gut microbiomes of wild animals, we selected the Japanese macaques (Macaca fuscata yakui) on Yakushima Island. We tested different protocols for each stage of fecal sample processing: storage, DNA extraction, and choice of the sequencing region in the bacterial 16S rRNA gene. We also analyzed the gut microbiome of captive Japanese macaques as the control. The comparison of samples obtained from identical macaques but subjected to different protocols showed that the tested storage methods (RNAlater and lysis buffer) produced effectively the same composition of bacterial operational taxonomic units (OTUs) as the standard frozen storage method, although the relative abundance of each OTU was quantitatively affected. Taxonomic assignment of the detected bacterial groups was also significantly affected by the region being sequenced, indicating that sequencing regions and the corresponding polymerase chain reaction (PCR) primer pairs for the 16S rRNA gene should be carefully selected. This study improves the current standard methods for microbiome analysis in wild nonhuman primates. Japanese macaques were shown to be a suitable model for understanding microbiome adaptation to various environments.

Entities:  

Keywords:  16S rRNA gene; Fecal collection; Field biology; Gut microbiome; Japanese macaque; Next-generation sequencing

Mesh:

Substances:

Year:  2018        PMID: 29942984     DOI: 10.1007/s10329-018-0671-x

Source DB:  PubMed          Journal:  Primates        ISSN: 0032-8332            Impact factor:   2.163


  60 in total

1.  Altitudinal and seasonal variations in the diet of Japanese macaques in Yakushima.

Authors:  Goro Hanya; Naohiko Noma; Naoki Agetsuma
Journal:  Primates       Date:  2002-11-23       Impact factor: 2.163

2.  Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells.

Authors:  Yukihiro Furusawa; Yuuki Obata; Shinji Fukuda; Takaho A Endo; Gaku Nakato; Daisuke Takahashi; Yumiko Nakanishi; Chikako Uetake; Keiko Kato; Tamotsu Kato; Masumi Takahashi; Noriko N Fukuda; Shinnosuke Murakami; Eiji Miyauchi; Shingo Hino; Koji Atarashi; Satoshi Onawa; Yumiko Fujimura; Trevor Lockett; Julie M Clarke; David L Topping; Masaru Tomita; Shohei Hori; Osamu Ohara; Tatsuya Morita; Haruhiko Koseki; Jun Kikuchi; Kenya Honda; Koji Hase; Hiroshi Ohno
Journal:  Nature       Date:  2013-11-13       Impact factor: 49.962

3.  Comparison of energy balance between two different-sized groups of Japanese macaques (Macaca fuscata yakui).

Authors:  Yosuke Kurihara; Goro Hanya
Journal:  Primates       Date:  2017-04-20       Impact factor: 2.163

4.  Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability.

Authors:  Andreas Hiergeist; Udo Reischl; Andrè Gessner
Journal:  Int J Med Microbiol       Date:  2016-03-21       Impact factor: 3.473

5.  Effects of field conditions on fecal microbiota.

Authors:  Vanessa L Hale; Chia L Tan; Kefeng Niu; Yeqin Yang; Duoying Cui; Hongxia Zhao; Rob Knight; Katherine R Amato
Journal:  J Microbiol Methods       Date:  2016-09-26       Impact factor: 2.363

6.  Enterotypes of the human gut microbiome.

Authors:  Manimozhiyan Arumugam; Jeroen Raes; Eric Pelletier; Denis Le Paslier; Takuji Yamada; Daniel R Mende; Gabriel R Fernandes; Julien Tap; Thomas Bruls; Jean-Michel Batto; Marcelo Bertalan; Natalia Borruel; Francesc Casellas; Leyden Fernandez; Laurent Gautier; Torben Hansen; Masahira Hattori; Tetsuya Hayashi; Michiel Kleerebezem; Ken Kurokawa; Marion Leclerc; Florence Levenez; Chaysavanh Manichanh; H Bjørn Nielsen; Trine Nielsen; Nicolas Pons; Julie Poulain; Junjie Qin; Thomas Sicheritz-Ponten; Sebastian Tims; David Torrents; Edgardo Ugarte; Erwin G Zoetendal; Jun Wang; Francisco Guarner; Oluf Pedersen; Willem M de Vos; Søren Brunak; Joel Doré; María Antolín; François Artiguenave; Hervé M Blottiere; Mathieu Almeida; Christian Brechot; Carlos Cara; Christian Chervaux; Antonella Cultrone; Christine Delorme; Gérard Denariaz; Rozenn Dervyn; Konrad U Foerstner; Carsten Friss; Maarten van de Guchte; Eric Guedon; Florence Haimet; Wolfgang Huber; Johan van Hylckama-Vlieg; Alexandre Jamet; Catherine Juste; Ghalia Kaci; Jan Knol; Omar Lakhdari; Severine Layec; Karine Le Roux; Emmanuelle Maguin; Alexandre Mérieux; Raquel Melo Minardi; Christine M'rini; Jean Muller; Raish Oozeer; Julian Parkhill; Pierre Renault; Maria Rescigno; Nicolas Sanchez; Shinichi Sunagawa; Antonio Torrejon; Keith Turner; Gaetana Vandemeulebrouck; Encarna Varela; Yohanan Winogradsky; Georg Zeller; Jean Weissenbach; S Dusko Ehrlich; Peer Bork
Journal:  Nature       Date:  2011-04-20       Impact factor: 49.962

7.  Social networks predict gut microbiome composition in wild baboons.

Authors:  Jenny Tung; Luis B Barreiro; Michael B Burns; Jean-Christophe Grenier; Josh Lynch; Laura E Grieneisen; Jeanne Altmann; Susan C Alberts; Ran Blekhman; Elizabeth A Archie
Journal:  Elife       Date:  2015-03-16       Impact factor: 8.140

8.  Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool.

Authors:  Monika A Gorzelak; Sandeep K Gill; Nishat Tasnim; Zahra Ahmadi-Vand; Michael Jay; Deanna L Gibson
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

9.  Common methods for fecal sample storage in field studies yield consistent signatures of individual identity in microbiome sequencing data.

Authors:  Ran Blekhman; Karen Tang; Elizabeth A Archie; Luis B Barreiro; Zachary P Johnson; Mark E Wilson; Jordan Kohn; Michael L Yuan; Laurence Gesquiere; Laura E Grieneisen; Jenny Tung
Journal:  Sci Rep       Date:  2016-08-16       Impact factor: 4.379

10.  Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies.

Authors:  Se Jin Song; Amnon Amir; Jessica L Metcalf; Katherine R Amato; Zhenjiang Zech Xu; Greg Humphrey; Rob Knight
Journal:  mSystems       Date:  2016-05-03       Impact factor: 6.496

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  4 in total

1.  Assessment of Inter-Laboratory Variation in the Characterization and Analysis of the Mucosal Microbiota in Crohn's Disease and Ulcerative Colitis.

Authors:  Jake C Szamosi; Jessica D Forbes; Julia K Copeland; Natalie C Knox; Shahrokh Shekarriz; Laura Rossi; Morag Graham; Christine Bonner; David S Guttman; Gary Van Domselaar; Michael G Surette; Charles N Bernstein
Journal:  Front Microbiol       Date:  2020-08-21       Impact factor: 5.640

2.  Comparing the gut microbiome along the gastrointestinal tract of three sympatric species of wild rodents.

Authors:  Jason L Anders; Mohamed Abdallah Mohamed Moustafa; Wessam Mohamed Ahmed Mohamed; Takashi Hayakawa; Ryo Nakao; Itsuro Koizumi
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

3.  Dietary niche breadth influences the effects of urbanization on the gut microbiota of sympatric rodents.

Authors:  Jason L Anders; Alexis M Mychajliw; Mohamed Abdallah Mohamed Moustafa; Wessam Mohamed Ahmed Mohamed; Takashi Hayakawa; Ryo Nakao; Itsuro Koizumi
Journal:  Ecol Evol       Date:  2022-09-09       Impact factor: 3.167

4.  Seasonal responses and host uniqueness of gut microbiome of Japanese macaques in lowland Yakushima.

Authors:  Akiko Sawada; Takashi Hayakawa; Yosuke Kurihara; Wanyi Lee; Goro Hanya
Journal:  Anim Microbiome       Date:  2022-09-27
  4 in total

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