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Global determinants of insect mitochondrial genetic diversity

Author

Listed:
  • Connor M. French

    (City College of New York
    City University of New York)

  • Laura D. Bertola

    (City College of New York
    University of Copenhagen)

  • Ana C. Carnaval

    (City College of New York
    City University of New York)

  • Evan P. Economo

    (Okinawa Institute of Science and Technology Graduate University)

  • Jamie M. Kass

    (Okinawa Institute of Science and Technology Graduate University
    Graduate School of Life Sciences, Tohoku University)

  • David J. Lohman

    (City College of New York
    City University of New York
    National Museum of Natural History)

  • Katharine A. Marske

    (School of Biological Sciences, University of Oklahoma)

  • Rudolf Meier

    (Institut für Biologie, Humboldt-Universität zu Berlin
    Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde Berlin)

  • Isaac Overcast

    (City University of New York
    Institut de Biologie de l’Ecole Normale Superieure
    American Museum of Natural History)

  • Andrew J. Rominger

    (University of Maine
    University of Maine)

  • Phillip P. A. Staniczenko

    (Brooklyn College)

  • Michael J. Hickerson

    (City College of New York
    City University of New York
    American Museum of Natural History)

Abstract

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.

Suggested Citation

  • Connor M. French & Laura D. Bertola & 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. Sta, 2023. "Global determinants of insect mitochondrial genetic diversity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40936-0
    DOI: 10.1038/s41467-023-40936-0
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    as
    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Godfrey Hewitt, 2000. "The genetic legacy of the Quaternary ice ages," Nature, Nature, vol. 405(6789), pages 907-913, June.
    3. Spyros Theodoridis & Damien A. Fordham & Stuart C. Brown & Sen Li & Carsten Rahbek & David Nogues-Bravo, 2020. "Evolutionary history and past climate change shape the distribution of genetic diversity in terrestrial mammals," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    4. Andrew Gelman & Ben Goodrich & Jonah Gabry & Aki Vehtari, 2019. "R-squared for Bayesian Regression Models," The American Statistician, Taylor & Francis Journals, vol. 73(3), pages 307-309, July.
    5. Evan P. Economo & Nitish Narula & Nicholas R. Friedman & Michael D. Weiser & Benoit Guénard, 2018. "Macroecology and macroevolution of the latitudinal diversity gradient in ants," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    6. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
    7. Roger S. Bivand & David W. S. Wong, 2018. "Comparing implementations of global and local indicators of spatial association," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 716-748, September.
    8. Andrés Baselga & Tomochika Fujisawa & Alexandra Crampton-Platt & Johannes Bergsten & Peter G. Foster & Michael T. Monaghan & Alfried P. Vogler, 2013. "Whole-community DNA barcoding reveals a spatio-temporal continuum of biodiversity at species and genetic levels," Nature Communications, Nature, vol. 4(1), pages 1-7, October.
    9. Sara J. Germain & James A. Lutz, 2020. "Climate extremes may be more important than climate means when predicting species range shifts," Climatic Change, Springer, vol. 163(1), pages 579-598, November.
    10. Alexander Mackintosh & Dominik R. Laetsch & Alexander Hayward & Brian Charlesworth & Martin Waterfall & Roger Vila & Konrad Lohse, 2019. "The determinants of genetic diversity in butterflies," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    11. Hanna Meyer & Edzer Pebesma, 2022. "Machine learning-based global maps of ecological variables and the challenge of assessing them," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    12. Gary D. Powney & Claire Carvell & Mike Edwards & Roger K. A. Morris & Helen E. Roy & Ben A. Woodcock & Nick J. B. Isaac, 2019. "Widespread losses of pollinating insects in Britain," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    13. H. De Kort & J. G. Prunier & S. Ducatez & O. Honnay & M. Baguette & V. M. Stevens & S. Blanchet, 2021. "Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
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