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Multigenerational backcrossing and introgression between two woodrat species at an abrupt ecological transition


Jahner, Joshua; Parchman, Thomas; Matocq, Marjorie (2021), Multigenerational backcrossing and introgression between two woodrat species at an abrupt ecological transition, Dryad, Dataset,


When organisms experience secondary contact after allopatric divergence, genomic regions can introgress differentially depending on their relationships with adaptation, reproductive isolation, recombination, and drift. Analyses of genome-wide patterns of divergence and introgression could provide insight into the outcomes of hybridization and the potential relationship between allopatric divergence and reproductive isolation. Here, we generate population genetic data (26,262 SNPs; 353 individuals) using a reduced-representation sequencing approach to quantify patterns of ancestry, differentiation, and introgression between a pair of ecologically distinct mammals – the desert woodrat (N. lepida) and Bryant’s woodrat (N. bryanti) – that hybridize at a sharp ecotone in southern California. Individual ancestry estimates confirmed that hybrids were rare in this bimodal hybrid zone, and entirely consisted of a few F1 individuals and a broad range of multigenerational backcrosses. Genomic cline analyses indicated more than half of loci had elevated introgression from one genomic background into the other. However, introgression was not associated with relative or absolute measures of divergence, and loci with extreme values for both were not typically found near detoxification enzymes previously implicated in dietary specialization for woodrats. The decoupling of differentiation and introgression suggests that processes other than adaptation, such as drift, may underlie the extreme clines at this contact zone.

Usage Notes

neotoma_gprobs.txt.gz -- Matrix of genotype probabilities for the 353 individuals included in the final analyses. First column contains individual ids. The file has been compressed with gzip.

neotoma_fastqs.tar.gz -- Directory containing fastq files for all 383 individuals analyzed in the paper. This directory has been compressed as a tar archive.


National Science Foundation, Award: IOS-1457209

National Science Foundation, Award: OIA-1826801