Influence of the mobilome on the honey bee microbiome via longitudinal metagenomics and reverse ecology

Researchers study how ecological and evolutionary factors shape the honey bee gut microbiome, focusing on mobile gene interactions through a longitudinal analysis of apiaries.
  • 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


Publications

  • 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