Incorporating the gut microbiota into models of human and non-human primate ecology and evolution

Katherine R. Amato*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

The mammalian gut is home to a diverse community of microbes. Advances in technology over the past two decades have allowed us to examine this community, the gut microbiota, in more detail, revealing a wide range of influences on host nutrition, health, and behavior. These host-gut microbe interactions appear to shape host plasticity and fitness in a variety of contexts, and therefore represent a key factor missing from existing models of human and non-human primate ecology and evolution. However, current studies of the gut microbiota tend to include limited contextual data or are clinical, making it difficult to directly test broad anthropological hypotheses. Here, I review what is known about the animal gut microbiota and provide examples of how gut microbiota research can be integrated into the study of human and non-human primate ecology and evolution with targeted data collection. Specifically, I examine how the gut microbiota may impact primate diet, energetics, disease resistance, and cognition. While gut microbiota research is proliferating rapidly, especially in the context of humans, there remain important gaps in our understanding of host-gut microbe interactions that will require an anthropological perspective to fill. Likewise, gut microbiota research will be an important tool for filling remaining gaps in anthropological research. Am J Phys Anthropol 159:S196-S215, 2016.

Original languageEnglish (US)
Pages (from-to)S196-S215
JournalAmerican Journal of Physical Anthropology
Volume159
DOIs
StatePublished - Jan 1 2016

Keywords

  • •••

ASJC Scopus subject areas

  • Anthropology
  • Anatomy

Fingerprint

Dive into the research topics of 'Incorporating the gut microbiota into models of human and non-human primate ecology and evolution'. Together they form a unique fingerprint.

Cite this