Genomics and introgression: Discovery and mapping of thousands of species-diagnostic SNPs using RAD sequencing
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Abstract
Invasive hybridization and introgression pose a serious threat to the persistence of many native species. Understanding the effects of hybridization on native populations (e.g., fitness consequences) requires numerous species-diagnostic loci distributed genome-wide. Here we used RAD sequencing to discover thousands of single-nucleotide polymorphisms (SNPs) that are diagnostic between rainbow trout (RBT, Oncorhynchus mykiss), the world’s most widely introduced fish, and native westslope cutthroat trout (WCT, O. clarkii lewisi) in the northern Rocky Mountains, USA. We advanced previous work that identified 4,914 species-diagnostic loci by using longer sequence reads (100 bp vs. 60 bp) and a larger set of individuals (n = 84). We sequenced RAD libraries for individuals from diverse sampling sources, including native populations of WCT and hatchery broodstocks of WCT and RBT. We also took advantage of a newly released reference genome assembly for RBT to align our RAD loci. In total, we discovered 16,788 putatively diagnostic SNPs, 10,267 of which we mapped to anchored chromosome locations on the RBT genome. A small portion of previously discovered putative diagnostic loci (325 of 4,914) were no longer diagnostic (i.e., fixed between species) based on our wider survey of non-hybridized RBT and WCT individuals. Our study suggests that RAD loci mapped to a draft genome assembly could provide the marker density required to identify genes and chromosomal regions influencing selection in admixed populations of conservation concern and evolutionary interest.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Genomics and introgression: Discovery and mapping of thousands of species-diagnostic SNPs using RAD sequencing |
Series title | Current Zoology |
DOI | 10.1093/czoolo/61.1.146 |
Volume | 61 |
Issue | 1 |
Year Published | 2015 |
Language | English |
Publisher | Oxford University Press |
Contributing office(s) | Northern Rocky Mountain Science Center |
Description | 9 p. |
First page | 146 |
Last page | 154 |
Country | United States |
State | Montana |
Online Only (Y/N) | N |
Additional Online Files (Y/N) | N |
Google Analytic Metrics | Metrics page |