Literature DB >> 30941803

Primate microbiomes over time: Longitudinal answers to standing questions in microbiome research.

Johannes R Björk1, Mauna Dasari1, Laura Grieneisen2, Elizabeth A Archie1.   

Abstract

To date, most insights into the processes shaping vertebrate gut microbiomes have emerged from studies with cross-sectional designs. While this approach has been valuable, emerging time series analyses on vertebrate gut microbiomes show that gut microbial composition can change rapidly from 1 day to the next, with consequences for host physical functioning, health, and fitness. Hence, the next frontier of microbiome research will require longitudinal perspectives. Here we argue that primatologists, with their traditional focus on tracking the lives of individual animals and familiarity with longitudinal fecal sampling, are well positioned to conduct research at the forefront of gut microbiome dynamics. We begin by reviewing some of the most important ecological processes governing microbiome change over time, and briefly summarizing statistical challenges and approaches to microbiome time series analysis. We then introduce five questions of general interest to microbiome science where we think field-based primate studies are especially well positioned to fill major gaps: (a) Do early life events shape gut microbiome composition in adulthood? (b) Do shifting social landscapes cause gut microbial change? (c) Are gut microbiome phenotypes heritable across variable environments? (d) Does the gut microbiome show signs of host aging? And (e) do gut microbiome composition and dynamics predict host health and fitness? For all of these questions, we highlight areas where primatologists are uniquely positioned to make substantial contributions. We review preliminary evidence, discuss possible study designs, and suggest future directions.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  community dynamics; fitness; health; longitudinal; microbial ecology; time series

Mesh:

Year:  2019        PMID: 30941803      PMCID: PMC7193701          DOI: 10.1002/ajp.22970

Source DB:  PubMed          Journal:  Am J Primatol        ISSN: 0275-2565            Impact factor:   2.371


  182 in total

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2.  Season of birth predicts mortality in rural Gambia.

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3.  Metagenomic systems biology of the human gut microbiome reveals topological shifts associated with obesity and inflammatory bowel disease.

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4.  Genetic Determinants of the Gut Microbiome in UK Twins.

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Journal:  Cell Host Microbe       Date:  2016-05-11       Impact factor: 21.023

5.  Host lifestyle affects human microbiota on daily timescales.

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7.  Diversity and composition of the adult fecal microbiome associated with history of cesarean birth or appendectomy: Analysis of the American Gut Project.

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Journal:  EBioMedicine       Date:  2014-12-01       Impact factor: 8.143

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Authors:  Michelle I Smith; Tanya Yatsunenko; Mark J Manary; Indi Trehan; Rajhab Mkakosya; Jiye Cheng; Andrew L Kau; Stephen S Rich; Patrick Concannon; Josyf C Mychaleckyj; Jie Liu; Eric Houpt; Jia V Li; Elaine Holmes; Jeremy Nicholson; Dan Knights; Luke K Ursell; Rob Knight; Jeffrey I Gordon
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Journal:  Science       Date:  2014-08-29       Impact factor: 47.728

10.  Population- and Individual-Level Dynamics of the Intestinal Microbiota of a Small Primate.

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Journal:  Appl Environ Microbiol       Date:  2016-05-31       Impact factor: 4.792

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  10 in total

Review 1.  Microbial control of host gene regulation and the evolution of host-microbiome interactions in primates.

Authors:  Laura Grieneisen; Amanda L Muehlbauer; Ran Blekhman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-08-10       Impact factor: 6.237

Review 2.  Nonhuman primates at the intersection of aging biology, chronic disease, and health: An introduction to the American Journal of Primatology Special Issue on aging, cognitive decline, and neuropathology in nonhuman primates.

Authors:  Carol A Shively; Agnès Lacreuse; Brett M Frye; Emily S Rothwell; Manuel Moro
Journal:  Am J Primatol       Date:  2021-08-17       Impact factor: 2.371

3.  Temporal Alignment of Longitudinal Microbiome Data.

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Journal:  Front Microbiol       Date:  2022-06-22       Impact factor: 6.064

4.  Quantifying the impact of ecological memory on the dynamics of interacting communities.

Authors:  Moein Khalighi; Guilhem Sommeria-Klein; Didier Gonze; Karoline Faust; Leo Lahti
Journal:  PLoS Comput Biol       Date:  2022-06-03       Impact factor: 4.779

5.  Seasonal variation in the gut microbiota of rhesus macaques inhabiting limestone forests of southwest Guangxi, China.

Authors:  Yuhui Li; Ting Chen; Jipeng Liang; Youbang Li; Zhonghao Huang
Journal:  Arch Microbiol       Date:  2020-10-14       Impact factor: 2.552

6.  Temporal Dynamics of Cloacal Microbiota in Adult Laying Chickens With and Without Access to an Outdoor Range.

Authors:  Janneke Schreuder; Francisca C Velkers; Alex Bossers; Ruth J Bouwstra; Willem F de Boer; Pim van Hooft; J Arjan Stegeman; Stephanie D Jurburg
Journal:  Front Microbiol       Date:  2021-01-28       Impact factor: 5.640

7.  Long-term storage of feces at -80 °C versus -20 °C is negligible for 16S rRNA amplicon profiling of the equine bacterial microbiome.

Authors:  Stefan Gavriliuc; Mason R Stothart; Astrid Henry; Jocelyn Poissant
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8.  Age and sex-associated variation in the multi-site microbiome of an entire social group of free-ranging rhesus macaques.

Authors:  Amanda D Melin; James P Higham; Mareike C Janiak; Michael J Montague; Catalina I Villamil; Michala K Stock; Amber E Trujillo; Allegra N DePasquale; Joseph D Orkin; Samuel E Bauman Surratt; Olga Gonzalez; Michael L Platt; Melween I Martínez; Susan C Antón; Maria Gloria Dominguez-Bello
Journal:  Microbiome       Date:  2021-03-22       Impact factor: 14.650

9.  Drivers of gut microbiome variation within and between groups of a wild Malagasy primate.

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10.  Experimental validation of small mammal gut microbiota sampling from faeces and from the caecum after death.

Authors:  Dagmar Čížková; Ľudovít Ďureje; Jaroslav Piálek; Jakub Kreisinger
Journal:  Heredity (Edinb)       Date:  2021-05-27       Impact factor: 3.832

  10 in total

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