References:
Aguilar R, Quesada M, Ashworth L, Herrerias-Diego Y, Lobo J. (2008). Genetic consequences of habitat fragmentation in plant populations: susceptible signals in plant traits and methodological approaches.Mol Ecol. 17, 5177-5188.
Blanchet, S., Prunier, J.G. & De Kort, H. (2017). Time to go bigger: Emerging patterns in macrogenetics. Trends Genet., 33, 579–580.
Denys, G.P.J., Geiger, M., Persat, H., Keith, P. & Dettai, A. (2015). Invalidity of Gasterosteus gymnurus (Cuvier, 1829) (Actinopterygii, Gasterosteidae) according to integrative taxonomy.Cybium, 39, 37–45.
González, A.V., Gómez‐Silva, V., Ramírez, M.J. and Fontúrbel, F.E. (2020). Meta‐analysis of the differential effects of habitat fragmentation and degradation on plant genetic diversity. Cons Biol., 34, 711-720.
Lawrence, E.R., Benavente, J.N., Matte, J.-M., Marin, K., Wells, Z.R.R., Bernos, T.A., et al. (2019). Geo-referenced population-specific microsatellite data across American continents, the MacroPopGen Database. Sci. Data, 6, 14
Manel, S., Guerin, P.-E., Mouillot, D., Blanchet, S., Velez, L., Albouy, C., et al. (2020). Global determinants of freshwater and marine fish genetic diversity. Nat. Commun., 11, 692
Millette, K.L., Fugère, V., Debyser, C., Greiner, A., Chain, F.J.J. & Gonzalez, A. (2020). No consistent effects of humans on animal genetic diversity worldwide. Ecol. Lett., 23, 55–67.
Pinsky, M.L. and Palumbi, S.R. (2014). Meta‐analysis reveals lower genetic diversity in overfished populations. Mol Ecol., 23, 29-39.
Schlaepfer, D. R., Braschler, B., Rusterholz, H.‐P., and Baur, B. (2018). Genetic effects of anthropogenic habitat fragmentation on remnant animal and plant populations: a meta‐analysis. Ecosphere 9, e02488.
Theodoridis, S., Fordham, D.A., Brown, S.C., Li, S., Rahbek, C. & Nogues-Bravo, D. (2020). Evolutionary history and past climate change shape the distribution of genetic diversity in terrestrial mammals. Nat. Commun., 11, 2557
Acknowledgements: We acknowledge the support of the GEO BON Genetic Composition Working Group in the development of this manuscript. We also thank Arne Mooers and the reviewers for their comments. I.P-V works in a laboratory supported by the ‘Laboratoire d’Excellence’ (LABEX) entitled TULIP (ANR-10-LABX-41).
Competing interests: The authors declare no competing interests.
Disclaimer: Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Prepublication disclaimer: This draft manuscript is distributed solely for purposes of scientific peer review. Its content is deliberative and predecisional, so it must not be disclosed or released by reviewers. Because the manuscript has not yet been approved for publication by the U.S. Geological Survey (USGS), it does not represent any official USGS finding or policy.
FIGURE 1: Map showing the grouping of sequences from the fish species Gasterosteus gymnurus (Cuvier, 1829; a junior synonym ofGasterosteus aculeatus , Linnaeus, 1758) into a single “population” to measure change in intraspecific genetic diversity. This is one of the 909 time-series datasets in Millette et al. (2020). This time-series consists of 53 mitochondrial cytochrome c oxidase subunit 1 (COI) sequences collected at 24 different sampling sites (colored dots). The sampling sites are all within the 1,000 km distance threshold set by Millette et al. for being pooled into a population, despite being located in nine watersheds from six of the major hydrographical regions in France. Sample sizes are highly uneven across the time series, with just three sequences from a single site each in 2004, 2007 and 2009, and then 44 sequences from 21 sites in 2013. Millette et al. (2020) analyzed the trend in nucleotide diversity across these temporal points, despite the 2013 sample consisting of sequences pooled across many different regions, while the other years had a single site, in different regions.