Evidence map›Paper›PMID 29942984›Full record

ArticlePrimates; journal of primatology2018

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

Takashi Hayakawa, Akiko Sawada, Akifumi S Tanabe, Shinji Fukuda, Takushi Kishida, Yosuke Kurihara, Kei Matsushima, Jie Liu, Etienne-Francois Akomo-Okoue, Waleska Gravena and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Primates; journal of primatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Takashi HayakawaDepartment of Wildlife Science (Nagoya Railroad Co., Ltd.), Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan. hayak.tak@gmail.com.ORCID http://orcid.org/0000-0002-1037-0350
Akiko SawadaGraduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Hangi-cho, Shimogamo, Sakyo-ku, Kyoto, 606-8522, Japan.
Akifumi S TanabeDepartment of Environmental Solution Technology, Faculty of Science and Technology, Ryukoku University, Seta-Oe, Otsu, Shiga, 520-2194, Japan.ORCID http://orcid.org/0000-0003-1017-6504
Shinji FukudaInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan.
Takushi KishidaWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.
Yosuke KuriharaJapan Society for the Promotion of Science, Kojimachi Business Center Building, 5-3-1, Kojimachi, Chiyoda-ku, Tokyo, 102-0083, Japan.
Kei MatsushimaWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.
Jie LiuWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.
Etienne-Francois Akomo-OkoueResearch Institute in Tropical Ecology (IRET-CENAREST), Post Box 13354, Libreville, Gabon.
Waleska GravenaAquatic Mammals Laboratory, National Institute of Amazonian Research, Manaus, 69011-970, Brazil.
Makoto KashimaResearch Institute for Food and Agriculture, Ryukoku University, 1-5 Yokotani, Seta-oecho, Otsu, Shiga, 520-2194, Japan.
Mariko SuzukiInternational Center for Island Studies Amami Station, Kagoshima University, 2-1 Naze-Yanagimachi, Amami, Kagoshima, 894-0032, Japan.
Kohmei KadowakiCenter for the Promotion of Interdisciplinary Education and Research, Education and Research Unit for Studies on Connectivity of Hills, Humans and Oceans (CoHHO), Kyoto University, Kitashirakawa Oiwake-cho, Sakyi-ku, Kyoto, 606-8502, Japan.
Takafumi SuzumuraWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.
Eiji InoueFaculty of Science, Toho University, 2-2-1 Miyama, Funabashi, Chiba, 274-8510, Japan.
Hideki SugiuraWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.
Goro HanyaEcology and Conservation Section, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Kiyokazu AgataWildlife Research Center, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, 606-8203, Japan.

Funding

Japan Society for the Promotion of Science 12J04270Japan Society for the Promotion of Science 16K18630Japan Society for the Promotion of Science 17H01911Japan Society for the Promotion of Science 25291100Japan Society for the Promotion of Science 25840170Ministry of Education, Culture, Sports, Science and Technology 15KK0256
6 · The paper itself

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.

Indexed as

Gastrointestinal MicrobiomeAnimalsEnvironmental MicrobiologyFecesJapanMacacaRNA, BacterialRNA, Ribosomal, 16SRNA, BacterialRNA, Ribosomal, 16S16S rRNA geneFecal collectionField biologyGut microbiomeJapanese macaqueNext-generation sequencing

Identifiers

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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.