When closely related species come into contact via range expansion, both may experience reduced fitness as a result of the interaction. Selection is expected to favor traits that minimize costly interspecies reproductive interactions (such as mismating) via a phenomenon called reproductive character displacement (RCD). Research on RCD frequently assumes secondary contact between species, but the geographic history of species interactions is often unknown. Landscape genomic data allows tests of geographic hypotheses about species origins and secondary contact through range expansion. We used landscape genomic data from single nucleotide polymorphisms (SNPs), mitochondrial sequence data, advertisement call data, and morphological data to investigate a species complex of toadlets (Uperoleia borealis, U. crassa, U. inundata) from northern Australia. Although the three species of frogs were morphologically indistinguishable in our analysis, we determined that U. crassa and U. inundata form a single species (synonymized here) based on an absence of genomic divergence. SNP data identified the phylogeographic origin of U. crassa as the Top End, with subsequent westward invasion into the range of U. borealis in the Kimberley. We identified six F1 hybrids, all of which had the U. borealis mitochondrial haplotype, suggesting unidirectional hybridization. Consistent with the RCD hypothesis, U. borealis and U. crassa sexual signals differ more in sympatry than in allopatry. Hybrid males have intermediate calls, which likely reduces attractiveness to females. Integrating landscape genomic data, mitochondrial sequencing, morphology, and behavioral approaches supplies us an unusually detailed collection of evidence for reproductive character displacement following range expansion and secondary contact.

Please see associated manuscript:

Population genomics and sexual signals support reproductive character displacement in Uperoleia (Anura: Myobatrachidae) in a contact zone

Acoustic and morphological datasets are xlsx files and opened in Microsoft excel or alternatives.

SNP datasets are .csv and can be opened in R with the package dartR.

R scripts can be opened in R.