Host relatedness influences the composition of aphid microbiomes

Ailsa H.C. McLean, H. Charles J. Godfray, Jacintha Ellers, Lee M. Henry*

*Corresponding author for this work

    Research output: Contribution to JournalArticleAcademicpeer-review

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    Abstract

    Animals are host to a community of microbes, collectively referred to as their microbiome, that can play a key role in their hosts' biology. The bacterial endosymbionts of insects have a particularly strong influence on their hosts, but despite their importance we still know little about the factors that influence the composition of insect microbial communities. Here, we ask: what is the relative importance of host relatedness and host ecology in structuring symbiont communities of diverse aphid species? We used next-generation sequencing to compare the microbiomes of 46 aphid species with known host plant affiliations. We find that relatedness between aphid species is the key factor explaining the microbiome composition, with more closely related aphid species housing more similar bacterial communities. Endosymbionts dominate the microbial communities, and we find a novel bacterium in the genus Sphingopyxis that is associated with numerous aphid species feeding exclusively on trees. The influence of ecology was less pronounced than that of host relatedness. Our results suggest that co-adaptation between insect species and their facultative symbionts is a more important determinant of symbiont species presence in aphids than shared ecology of hosts.

    Original languageEnglish
    Pages (from-to)808-816
    Number of pages9
    JournalEnvironmental Microbiology Reports
    Volume11
    Issue number6
    Early online date1 Oct 2019
    DOIs
    Publication statusPublished - Dec 2019

    Funding

    The authors would like to acknowledge Dr. Luca Lenzi for his assistance in bioinformatics, Ken Kraaijeveld, Dré Kampfraath, Jan Hrček and Ben Parker for helpful discussion and Steven Williams and Joyce van Otterdijk for help with collections. Three anonymous reviewers provided detailed and constructive comments that greatly improved the manuscript. This project was funded by NERC/NBAF Grant Nos. NE/M018016/1 and NBAF708. J.E. was supported by a VICI grant (865.12.003) of the Netherlands Organization for Scientific Research. The authors would like to acknowledge Dr. Luca Lenzi for his assistance in bioinformatics, Ken Kraaijeveld, Dr? Kampfraath, Jan Hr?ek and Ben Parker for helpful discussion and Steven Williams and Joyce van Otterdijk for help with collections. Three anonymous reviewers provided detailed and constructive comments that greatly improved the manuscript. This project was funded by NERC/NBAF Grant Nos. NE/M018016/1 and NBAF708. J.E. was supported by a VICI grant (865.12.003) of the Netherlands Organization for Scientific Research.

    FundersFunder number
    NERC/NBAFNBAF708, NE/M018016/1
    Netherlands Organization for Scientific Research
    VICI865.12.003
    National Cancer InstituteR25CA018016

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