Global determinants of insect mitochondrial genetic diversity

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Global determinants of insect mitochondrial genetic diversity. / French, Connor M.; Bertola, Laura D.; Carnaval, Ana C.; Economo, Evan P.; Kass, Jamie M.; Lohman, David J.; Marske, Katharine A.; Meier, Rudolf; Overcast, Isaac; Rominger, Andrew J.; Staniczenko, Phillip P.A.; Hickerson, Michael J.

In: Nature Communications, Vol. 14, No. 1, 5276, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

French, CM, Bertola, LD, Carnaval, AC, Economo, EP, Kass, JM, Lohman, DJ, Marske, KA, Meier, R, Overcast, I, Rominger, AJ, Staniczenko, PPA & Hickerson, MJ 2023, 'Global determinants of insect mitochondrial genetic diversity', Nature Communications, vol. 14, no. 1, 5276. https://doi.org/10.1038/s41467-023-40936-0

APA

French, C. M., Bertola, L. D., Carnaval, A. C., Economo, E. P., Kass, J. M., Lohman, D. J., Marske, K. A., Meier, R., Overcast, I., Rominger, A. J., Staniczenko, P. P. A., & Hickerson, M. J. (2023). Global determinants of insect mitochondrial genetic diversity. Nature Communications, 14(1), [5276]. https://doi.org/10.1038/s41467-023-40936-0

Vancouver

French CM, Bertola LD, Carnaval AC, Economo EP, Kass JM, Lohman DJ et al. Global determinants of insect mitochondrial genetic diversity. Nature Communications. 2023;14(1). 5276. https://doi.org/10.1038/s41467-023-40936-0

Author

French, Connor M. ; Bertola, Laura D. ; Carnaval, Ana C. ; Economo, Evan P. ; Kass, Jamie M. ; Lohman, David J. ; Marske, Katharine A. ; Meier, Rudolf ; Overcast, Isaac ; Rominger, Andrew J. ; Staniczenko, Phillip P.A. ; Hickerson, Michael J. / Global determinants of insect mitochondrial genetic diversity. In: Nature Communications. 2023 ; Vol. 14, No. 1.

Bibtex

@article{228f22fe969742daaffa277ad19fed09,
title = "Global determinants of insect mitochondrial genetic diversity",
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{\textquoteright}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.",
author = "French, {Connor M.} and Bertola, {Laura D.} and Carnaval, {Ana C.} and Economo, {Evan P.} and Kass, {Jamie M.} and Lohman, {David J.} and Marske, {Katharine A.} and Rudolf Meier and Isaac Overcast and Rominger, {Andrew J.} and Staniczenko, {Phillip P.A.} and Hickerson, {Michael J.}",
note = "Publisher Copyright: {\textcopyright} 2023, Springer Nature Limited.",
year = "2023",
doi = "10.1038/s41467-023-40936-0",
language = "English",
volume = "14",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Global determinants of insect mitochondrial genetic diversity

AU - French, Connor M.

AU - Bertola, Laura D.

AU - Carnaval, Ana C.

AU - Economo, Evan P.

AU - Kass, Jamie M.

AU - Lohman, David J.

AU - Marske, Katharine A.

AU - Meier, Rudolf

AU - Overcast, Isaac

AU - Rominger, Andrew J.

AU - Staniczenko, Phillip P.A.

AU - Hickerson, Michael J.

N1 - Publisher Copyright: © 2023, Springer Nature Limited.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1038/s41467-023-40936-0

DO - 10.1038/s41467-023-40936-0

M3 - Journal article

C2 - 37644003

AN - SCOPUS:85168981503

VL - 14

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 5276

ER -

ID: 365817259