Published September 1, 2022 | Version v1
Software Open

Genome-wide analysis resolves the radiation of New Zealand's freshwater Galaxias vulgaris complex and reveals a candidate species obscured by mitochondrial capture

Description

Aim: Freshwater fish radiations are often characterized by multiple closely-related species in close proximity, which can lead to introgression and associated discordance of mitochondrial and nuclear characterizations of species diversity. As a case in point, single locus nuclear versus mitochondrial analyses of New Zealand's stream-resident Galaxias vulgaris complex have yielded conflicting phylogenies. Our goal is to use genome-wide divergence patterns among these fishes to evaluate the potential role of mitochondrial capture in obscuring species diversity and to understand how ancient and anthropogenic drainage modification explains this diversity.

Location: Freshwater ecosystems of New Zealand. Methods: We generate and analyze a genome-wide data set comprising 52,352 SNPs across 187 Galaxias specimens to resolve the phylogeny of this recent fish radiation. We conduct phylogenetic, PCA, STRUCTURE, and ABBA-BABA analyses to evaluate the evolutionary relationships of lineages in the context of natural and anthropogenic river drainage alterations.

Results: In addition to the 11 previously recognized stream-resident lineages, genome-wide data reveal a twelfth candidate species (G. 'Pomahaka'), apparently obscured by introgressive mitochondrial capture. We identify additional examples of mito-nuclear discordance and putative mitochondrial capture, likely mediated by geological and anthropogenic modification of drainage boundaries.

Main conclusions: Our study highlights the need for genome-wide approaches for delimiting freshwater biodiversity. Genetic data also reveal the influence of drainage history on freshwater biodiversity, including the rapid divergence of recently fragmented fish populations, and the conservation genetic risks of anthropogenic translocations events.

Notes

This folder includes the main script used to go from raw data to SNPs, as well as the code used to produce the phylogenetic tree.

The demultiplexed data can be obtained from the Short-Read-Archive as specified in the article.

For any questions, please do not hesitate to contact Ciaran Campbell (ciarancampbell10@gmail.com) or Ludovic Dutoit (ludovic.dutoit@otago.ac.nz).

Funding provided by: University of Otago
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008247
Award Number:

Files

metadata.txt

Files (4.4 kB)

Name Size Download all
md5:14cd130b00e6d4b50d3fd1f1b6140ea6
4.4 kB Preview Download

Additional details

Related works

Is source of
10.5061/dryad.0k6djhb38 (DOI)