K
Katerina V.-A. Johnson
Researcher at University of Oxford
Publications - 12
Citations - 663
Katerina V.-A. Johnson is an academic researcher from University of Oxford. The author has contributed to research in topics: Microbiome & Population. The author has an hindex of 8, co-authored 9 publications receiving 376 citations.
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Journal ArticleDOI
Why does the microbiome affect behaviour
TL;DR: It is argued that understanding why the microbiome influences behaviour requires a focus on microbial ecology and local effects within the host, and proposed that adaptations of competing gut microorganisms may affect behaviour as a by-product, leading to host dependence.
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Gut microbiome composition and diversity are related to human personality traits
TL;DR: Diversity analyses of the gut microbiome reveal that people with larger social networks tend to have a more diverse microbiome, suggesting that social interactions may shape the microbial community of the human gut.
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Microbial transmission in animal social networks and the social microbiome.
Amar Sarkar,Siobhán Harty,Katerina V.-A. Johnson,Andrew H. Moeller,Elizabeth A. Archie,Laura D Schell,Rachel N. Carmody,Tim H. Clutton-Brock,Tim H. Clutton-Brock,Robin I. M. Dunbar,Philip W.J. Burnet +10 more
TL;DR: The ‘social microbiome’ is proposed as the microbial metacommunity of an animal social group, and the social and environmental forces that shape it at different levels, from individuals to species.
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The role of the microbiome in the neurobiology of social behaviour.
Amar Sarkar,Siobhán Harty,Katerina V.-A. Johnson,Andrew H. Moeller,Rachel N. Carmody,Soili M. Lehto,Soili M. Lehto,Susan E. Erdman,Robin I. M. Dunbar,Philip W.J. Burnet +9 more
TL;DR: Evidence of the gut microbiome's interactions with various aspects of host sociality, including sociability, social cognition, social stress, and autism are synthesised, and the putative physiological mediators of the microbiome–sociality connection are analyzed.
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Microbiome: Should we diversify from diversity?
TL;DR: There is a need to broaden the approach to the analysis of microbiome data if the authors are to better understand this complex ecological community and its role in human health and disease.