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Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species.
Nielsen ES
,
Henriques R
,
Beger M
,
Toonen RJ
,
von der Heyden S
.
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BACKGROUND: As global change and anthropogenic pressures continue to increase, conservation and management increasingly needs to consider species' potential to adapt to novel environmental conditions. Therefore, it is imperative to characterise the main selective forces acting on ecosystems, and how these may influence the evolutionary potential of populations and species. Using a multi-model seascape genomics approach, we compare putative environmental drivers of selection in three sympatric southern African marine invertebrates with contrasting ecology and life histories: Cape urchin (Parechinus angulosus), Common shore crab (Cyclograpsus punctatus), and Granular limpet (Scutellastra granularis).
RESULTS: Using pooled (Pool-seq), restriction-site associated DNA sequencing (RAD-seq), and seven outlier detection methods, we characterise genomic variation between populations along a strong biogeographical gradient. Of the three species, only S. granularis showed significant isolation-by-distance, and isolation-by-environment driven by sea surface temperatures (SST). In contrast, sea surface salinity (SSS) and range in air temperature correlated more strongly with genomic variation in C. punctatus and P. angulosus. Differences were also found in genomic structuring between the three species, with outlier loci contributing to two clusters in the East and West Coasts for S. granularis and P. angulosus, but not for C. punctatus.
CONCLUSION: The findings illustrate distinct evolutionary potential across species, suggesting that species-specific habitat requirements and responses to environmental stresses may be better predictors of evolutionary patterns than the strong environmental gradients within the region. We also found large discrepancies between outlier detection methodologies, and thus offer a novel multi-model approach to identifying the principal environmental selection forces acting on species. Overall, this work highlights how adding a comparative approach to seascape genomics (both with multiple models and species) can elucidate the intricate evolutionary responses of ecosystems to global change.
Fig. 1. The Sea Surface Temperatures (from the MARSPEC database) within the study region (a), the species-specific sampling regimes (b), and the names of the 20 total sample sites included in the study (c)
Fig. 2. Population differentiation is shown by PCoAs of Nei’s genetic distance from all quality-filtered SNPs (a, c, e) and covariance (Ω) matrices represented as heatmaps (b, d, f), shown for C. punctatus (a, b), P. angulosus (c, d), and S. granularis (e, f). Letters in the PCoAs (a, c, e) correspond to the sample sites shown in Fig. 1, with darker shaded letters corresponding to western sites, and lighter shaded letters corresponding to eastern sites
Fig. 3. The number of outlier SNPs detected per method for C. punctatus (a), P. angulosus (b), and S. granularis (c). See Table 2 for method abbreviations
Fig. 4. Genomic differentiation as shown by PCAs of allele frequencies in either the putatively neutral (a-c) or outlier (d-f) datasets for C. punctatus (a, d), P. angulosus (b, e), and S. granularis (c, f). Letters correspond to the sample sites shown in Fig. 1, with darker shaded letters corresponding to western sites, and lighter shaded letters corresponding to eastern sites
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