Global determinants of insect mitochondrial genetic diversity

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  • Connor M. French
  • Bertola, Laura
  • Ana C. Carnaval
  • Evan P. Economo
  • Jamie M. Kass
  • David J. Lohman
  • Katharine A. Marske
  • Rudolf Meier
  • Isaac Overcast
  • Andrew J. Rominger
  • Phillip P.A. Staniczenko
  • Michael J. Hickerson
Understanding global patterns of genetic diversity is essential for describing, monitoring, and preserving life on Earth. To date, efforts to map macrogenetic patterns have been restricted to vertebrates, which comprise only a small fraction of Earth’s biodiversity. Here, we construct a global map of predicted insect mitochondrial genetic diversity from cytochrome c oxidase subunit 1 sequences, derived from open data. We calculate the mitochondrial genetic diversity mean and genetic diversity evenness of insect assemblages across the globe, identify their environmental correlates, and make predictions of mitochondrial genetic diversity levels in unsampled areas based on environmental data. Using a large single-locus genetic dataset of over 2 million globally distributed and georeferenced mtDNA sequences, we find that mitochondrial genetic diversity evenness follows a quadratic latitudinal gradient peaking in the subtropics. Both mitochondrial genetic diversity mean and evenness positively correlate with seasonally hot temperatures, as well as climate stability since the last glacial maximum. Our models explain 27.9% and 24.0% of the observed variation in mitochondrial genetic diversity mean and evenness in insects, respectively, making an important step towards understanding global biodiversity patterns in the most diverse animal taxon.
OriginalsprogEngelsk
Artikelnummer5276
TidsskriftNature Communications
Vol/bind14
Udgave nummer1
Antal sider15
ISSN2041-1723
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
We thank Dr. Jason L Brown for his valuable feedback on early drafts of the manuscript, and the Anderson, Hickerson, and Carnaval labs at City College of New York for their feedback at every step of the project. Additionally, we thank Dr. Matthew Hahn and Dr. Tara Pelletier for their helpful feedback on the interpretation of mtDNA diversity patterns. C.M.F., M.J.H., A.C.C., I.O., and A.R. acknowledge support from NSF DBI 2104147 and the NSF RCN Cross-Scale Processes Impacting Biodiversity (DEB 1745562). D.J.L. was funded by NSF DEB-1541557. J.M.K. was supported by the Japan Society for the Promotion of Science Postdoctoral Fellowships for Foreign Researchers Program and JSPS Grants-In-Aid for Scientific Research (KAKENHI) (20F20774).

Publisher Copyright:
© 2023, Springer Nature Limited.

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