- Complex Interactions: Examines effects of external strains, parasites, and gene transfer.
- Short-Term Evolution: Studies feedback mechanisms in microbial communities.
- Longitudinal Study: Analyzes apiaries at IU and UIUC for comprehensive insights.
Description
The honey bee gut microbiome is influenced by a mixture of ecological factors, such as invasion by external strains or parasites, and by evolutionary factors, such as drift, selection, and horizontal gene transfer (HGT). Despite long-standing theoretical debate, it is not well known how short-term evolution of host-associated microbial species feeds back and affects the interactions within the local community – especially in a complex microbial environment such as the honey bee gut microbiome. Further, it is not well-known how, and to what frequency, interactions between mobile genes and their hosts affect the evolution and composition of honey bee microbial communities. To address the influence of mobile gene ecology and evolution in the honey bee microbiome, GEMS graduate student Chris Robinson, in collaboration with Irene Newton, Adam Dolezal, and Rachel Whitaker, will conduct longitudinal analysis of apiaries at IU and UIUC.
People on this Project
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Irene Newton
Project LeadCo-PI & Executive Committee Member; Professor of Biology
Indiana University
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Chris Robinson
Project LeadGraduate Student
Indiana University
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Adam Dolezal
Project ContributorAssociate Professor of Entomology
University of Illinois Urbana-Champaign
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Rachel Whitaker
Project ContributorCo-PI; Professor of Microbiology
University of Illinois Urbana-Champaign
Publications
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Robinson et al., 2025
Robinson, C. R. P., Dolezal, A. G., Liachko, I., & Newton, I. L. G. (2025). Mobile genetic elements exhibit associated patterns of host range variation and sequence diversity within the gut microbiome of the European honey bee. bioRxiv.
https://doi.org/10.1101/2025.01.31.635958 -
Robinson et al., 2024
Robinson, C. R. P., Dolezal, A. G., & Newton, I. L. G. (2024). Host species and geography impact bee-associated RNA virus communities with evidence for isolation by distance in viral populations. ISME Communications, 4(1), 1-14.
https://doi.org/10.1093/ismeco/ycad003