TY - JOUR
T1 - Genetic diversity loss in the Anthropocene
AU - Exposito-Alonso, Moises
AU - Booker, Tom R.
AU - Czech, Lucas
AU - Gillespie, Lauren
AU - Hateley, Shannon
AU - Kyriazis, Christopher C.
AU - Lang, Patricia L. M.
AU - Leventhal, Laura
AU - Nogues-Bravo, David
AU - Pagowski, Veronica
AU - Ruffley, Megan
AU - Spence, Jeffrey P.
AU - Arana, Sebastian E. Toro
AU - Weiss, Clemens L.
AU - Zess, Erin
N1 - Authors retain copyright and choose from several distribution/reuse options under which to make the article available (CC BY, CC BY-NC, CC BY-ND, CC BY-NC-ND, CC0, or no reuse).
PY - 2022
Y1 - 2022
N2 - More species than ever before are at risk of extinction due to anthropogenic habitat loss and climate change. But even species that are not threatened have seen reductions in their populations and geographic ranges, likely impacting their genetic diversity. Although preserving genetic diversity is key to maintaining adaptability of species, we lack predictive tools and global estimates of genetic diversity loss across ecosystems. By bridging theories of biodiversity and population genetics, we introduce a mathematical framework to understand the loss of naturally occurring DNA mutations within decreasing habitat within a species. Analysing genome-wide variation data of 10,095 geo-referenced individuals from 20 plant and animal species, we show that genome-wide diversity follows a power law with geographic area (the mutations-area relationship), which can predict genetic diversity loss in spatial computer simulations of local population extinctions. Given pre-21st century values of ecosystem transformations, we estimate that over 10% of genetic diversity may already be lost, surpassing the United Nations targets for genetic preservation. These estimated losses could rapidly accelerate with advancing climate change and habitat destruction, highlighting the need for forecasting tools that facilitate implementation of policies to protect genetic resources globally.
AB - More species than ever before are at risk of extinction due to anthropogenic habitat loss and climate change. But even species that are not threatened have seen reductions in their populations and geographic ranges, likely impacting their genetic diversity. Although preserving genetic diversity is key to maintaining adaptability of species, we lack predictive tools and global estimates of genetic diversity loss across ecosystems. By bridging theories of biodiversity and population genetics, we introduce a mathematical framework to understand the loss of naturally occurring DNA mutations within decreasing habitat within a species. Analysing genome-wide variation data of 10,095 geo-referenced individuals from 20 plant and animal species, we show that genome-wide diversity follows a power law with geographic area (the mutations-area relationship), which can predict genetic diversity loss in spatial computer simulations of local population extinctions. Given pre-21st century values of ecosystem transformations, we estimate that over 10% of genetic diversity may already be lost, surpassing the United Nations targets for genetic preservation. These estimated losses could rapidly accelerate with advancing climate change and habitat destruction, highlighting the need for forecasting tools that facilitate implementation of policies to protect genetic resources globally.
KW - ecology
U2 - 10.1126/science.abn5642
DO - 10.1126/science.abn5642
M3 - Journal article
C2 - 36137047
VL - 377
SP - 1431
EP - 1435
JO - Science
JF - Science
SN - 0036-8075
IS - 6613
ER -