Abstract

The rapidly emerging field of macrogenetics focuses on analysing publicly accessible genetic datasets from thousands of species to explore large-scale patterns and predictors of intraspecific genetic variation. Facilitated by advances in evolutionary biology, technology, data infrastructure, statistics and open science, macrogenetics addresses core evolutionary hypotheses (such as disentangling environmental and life-history effects on genetic variation) with a global focus. Yet, there are important, often overlooked, limitations to this approach and best practices need to be considered and adopted if macrogenetics is to continue its exciting trajectory and reach its full potential in fields such as biodiversity monitoring and conservation. Here, we review the history of this rapidly growing field, highlight knowledge gaps and future directions, and provide guidelines for further research.

Original languageEnglish
Pages (from-to)791-807
Number of pages17
JournalNature Reviews Genetics
Volume22
Issue number12
DOIs
StatePublished - Dec 2021

Funding

We acknowledge the support of the GEO BON Genetic Composition Working Group in the development of this manuscript. We thank B. Dauphin, L. Beheregaray, L. Di Santo, W. C. Funk, J. Fant, A. MacDonald, A. Strand, C. Grueber and C. Richards for their insightful comments on early versions of the manuscript. D.M.L. is funded by the SNSF grant IZHRZ0_ 180651, “Dynamics of virus infection in mycovirus-mediated biological control of a fungal pathogen”. This research was funded in part by a USGS Northwest Climate Adaptation Science Center award G17AC000218 to C.Bv.R. I.P-V. works in a laboratory supported by the ‘Laboratoire d’Excellence’ (LABEX) entitled TULIP (ANR-10-LABX-41). S.H. was supported by National Science Foundation grant 1759759. L.L. is supported by a New Zealand Rutherford Discovery Fellowship (RDF-20-MAU-001). M.F.B. is funded by Australian Research Council (ARC) grants LP190100051, LP190100484, DP210101932 and DP180100668. CS was funded by an NSERC Discovery Grant to Colin J. Garroway.

FundersFunder number
1759759, RDF-20-MAU-001
G17AC000218
Australian Research CouncilDP180100668, DP210101932, LP190100051, LP190100484
IZHRZ0_ 180651

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