PLoS ONEMicrobiologyPeer-reviewed journal article
Microbiota in the ptarmigan intestine - an Inuit delicacy and its potential in popular cuisine
Mads Bjørn BjørnseniD, Nabila Rodríguez ValeróniD, Diego Prado VásqueziD, Esther Merino VelascoiD, Anders Johannes HanseniD, Aviaja Lyberth HauptmanniD
Abstract
The consumption of prey intestines and their content, known as gastrophagy, is well-documented among Arctic Indigenous peoples, particularly Inuit. In Greenland, Inuit consume intestines from various animals, including the ptarmigan, a small herbivorous grouse bird. While gastrophagy provides the potential to transfer a large number of intestinal microorganisms from prey to predator, including to the human gut, its microbial implications remain to be investigated. This study addresses this gap by investigating the microbial composition of the Greenlandic rock ptarmigans gastrointestinal tract by analyzing the crop, stomach, and intestines while also comparing it with the microbiota found in garum, a fermented sauce made from ptarmigan meat and intestines. Through 16S rRNA gene sequencing, we assessed whether garum made from ptarmigan intestines provides access to microbial diversity otherwise only accessible through gastrophagy. Our findings reveal that garum made from ptarmigan intestines displayed distinct flavors and microbial composition similar to that found in the ptarmigan gut and intestines, highlighting the potential role of fermented products in mediating food microbial diversity associated with Indigenous food practices. Furthermore, our study underscores the broader importance of understanding microbial diversity in different food systems, particularly in the context of shifting dietary patterns and concerns about diminishing food microbial diversity. By elucidating the microbial richness gained through gastrophagy this research contributes to a deeper understanding of traditional and Indigenous foodways and their implications for human gut health.
- organism: multiple species
- assay: metagenomics
- research focus: cell type annotation
- research focus: clustering
- approach: statistical model
- Citations
- 3
- FWCI
- 0.35
- Field percentile
- top 50%
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