Published October 24, 2022 | Version v1
Dataset Open

Contrasting levels of hybridization across the two contact zones between two hedgehog species revealed by genome-wide SNP data

  • 1. Charles University
  • 2. University of Valencia
  • 3. University of Potsdam
  • 4. Lomonosov Moscow State University" in Sevastopol
  • 5. European Molecular Biology Laboratory
  • 6. Czech University of Life Sciences Prague

Description

Hybridization and introgression have played important roles in the history of various species, including lineage diversification and the evolution of adaptive traits. Hybridization can accelerate the development of reproductive isolation between diverging species, and thus valuable insight into the evolution of reproductive barrier formation may be gained by studying secondary contact zones. Hedgehogs of the genus Erinaceus, which are insectivores sensitive to changes in climate, are a pioneer model in Pleistocene phylogeography. The present study provides the first genome-wide SNP data regarding the Erinaceus hedgehogs species complex, offering a unique comparison of two secondary contact zones between Erinaceus europaeus and E. roumanicus. Results confirmed diversification of the genus during the Pleistocene period and detected a new refugial lineage of E. roumanicus outside the Mediterranean region, most likely in the Ponto-Caspian region. In the Central European zone, the level of hybridization was low, whereas in the Russian-Baltic zone, both species hybridise extensively. Asymmetrical gene flow from E. europaeus to E. roumanicus suggests that reproductive isolation varies according to the direction of the crosses in the hybrid zones. However, no loci with significantly different patterns of introgression were detected. Markedly different pre- and post-zygotic barriers, and thus diverse modes of species boundary maintenance in the two contact zones, likely exist. This pattern is probably a consequence of the different ages and thus of the different stages of evolution of reproductive isolating mechanisms in each hybrid zone.

Notes

The data set is composed of several files:

metadata.txt describes the samples.

fastq2016_X.tar (with "X" between 1 and 5) extract a directory named fastq2016 with the compressed fastq files corresponding to the first sequencing batch of the 50 first samples. Note that there are two files per sample, for the forward and the reverse reads.

fastq2018_X.tar (with "X" between 1 and 3) extract a directory named fastq2018 with the compressed fastq files corresponding to the second sequencing batch of the same 50 first samples. Note that the file names in this directory are the same as in fastq2016, because they are the same samples.

fastq2020_X.tar (with "X" between 1 and 6) extract a directory named fastq2020 with the compressed fastq files corresponding to the sequencing of 40 additional samples. Here there is one file per sample, because they were sequenced with single reads.

Funding provided by: Univerzita Karlova v Praze
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100007397
Award Number: 538218

Funding provided by: Česká Zemědělská Univerzita v Praze
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100006206
Award Number: CIGA 20185006

Funding provided by: Česká Zemědělská Univerzita v Praze
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100006206
Award Number: IGA 20205007

Funding provided by: Russian Foundation for Basic Research
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002261
Award Number: N20-04-00081a

Funding provided by: Spanish Ministry of Economy and Competitivity*
Crossref Funder Registry ID:
Award Number: RYC-2012-11872

Files

metadata.txt

Files (124.5 GB)

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Additional details