Landscape genomics of a widely distributed snake (Dolichophis caspius, Gmelin, 1789) across Eastern Europe and Western Asia
Creators
- 1. University of Veterinary Medicine Vienna
- 2. MME Birdlife Hungary*
- 3. Plant Protection Institute
- 4. Hungarian Natural History Museum
- 5. Association HYLA*
- 6. Independent researcher*
- 7. Comenius University
- 8. Russian Academy of Sciences
- 9. Cardiff University
- 10. Research Institute of Wildlife Ecology*
Description
Across the distribution of the Caspian whipsnake (Dolichophis caspius), populations have become increasingly disconnected due to habitat alterations. To understand population dynamics and the adaptive potential of this widespread but locally endangered snake, we investigated population structure, admixture and effective migration patterns. We took a landscape-genomic approach to identify selected genotypes associated with environmental variables relevant to D. caspius. With double-digest restriction-site associated DNA (ddRAD) sequencing of 53 samples resulting in 17,518 single nucleotide polymorphisms (SNPs), we identified eight clusters within D. caspius reflecting complex evolutionary patterns of the species. Estimated Effective Migration Surfaces (EEMS) revealed higher-than-average gene flow in most of the Balkan Peninsula and lower-than-average gene flow along the middle section of the Danube River. Landscape genomic analysis identified 751 selected genotypes correlated with seven climatic variables. Isothermality correlated with the highest number of selected genotypes (478) located in 41 genes, followed by annual range (127) and annual mean temperature (87). We conclude that environmental variables, especially the day-to-night temperature oscillation in comparison to the summer-to-winter oscillation, may have an important role in the distribution and adaptation of D. caspius.
Notes
Funding provided by: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100011019
Award Number: 2017-2.2.4-TÉT-AT-2017-00002
Funding provided by: Austrian Science Fund
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002428
Award Number: P29623-B25
Funding provided by: Agentúra na Podporu Výskumu a Vývoja
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005357
Award Number: APVV-15-0147
Funding provided by: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100011019
Award Number: K-124375
Funding provided by: YounInvestigators Programme (FiKut) of the Hungarian Academy of Sciences (MTA)*
Crossref Funder Registry ID:
Award Number:
Funding provided by: Agentúra na Podporu Výskumu a Vývoja
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005357
Award Number: APVV-19-0076
Funding provided by: Austrian Agency for International Cooperation in Education and Research*
Crossref Funder Registry ID:
Award Number: HU 02/2018
Funding provided by: YounInvestigators Programme (FiKut) of the Hungarian Academy of Sciences (MTA)
Crossref Funder Registry ID:
Funding provided by: Austrian Agency for International Cooperation in Education and Research
Crossref Funder Registry ID:
Award Number: HU 02/2018
Files
BioinformaticScript_Mahtani-Williams_etal_2020_Genes.pdf
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Additional details
Related works
- Is cited by
- 10.3390/genes11101218 (DOI)