A versatile Rapture (RAD‐Capture) platform for genotyping marine turtles. (27th February 2019)

• Record Type: Journal Article
• Authors: Komoroske, Lisa M.; Miller, Michael R.; O'Rourke, Sean M.; Stewart, Kelly R.; Jensen, Michael P.; Dutton, Peter H.
• Is Part Of: Molecular ecology resources. Volume 19:Number 2(2019:Mar.)
• Page Start: 497
• Page End: 511
• Publication Date: 2019-02-27
• Subjects: conservation genetics -- high‐throughput sequencing -- RAD‐Seq -- reptiles -- sea turtle -- sequence capture; Molecular ecology -- Periodicals; 572.8
• DOI: 10.1111/1755-0998.12980
• Languages: English
• ISSNs: 1755-098X

Abstract

Abstract: Advances in high‐throughput sequencing (HTS) technologies coupled with increased interdisciplinary collaboration are rapidly expanding capacity in the scope and scale of wildlife genetic studies. While existing HTS methods can be directly applied to address some evolutionary and ecological questions, certain research goals necessitate tailoring methods to specific study organisms, such as high‐throughput genotyping of the same loci that are comparable over large spatial and temporal scales. These needs are particularly common for studies of highly mobile species of conservation concern like marine turtles, where life history traits, limited financial resources and other constraints require affordable, adaptable methods for HTS genotyping to meet a variety of study goals. Here, we present a versatile marine turtle HTS targeted enrichment platform adapted from the recently developed Rapture (RAD‐Capture) method specifically designed to meet these research needs. Our results demonstrate consistent enrichment of targeted regions throughout the genome and discovery of candidate variants in all species examined for use in various conservation genetics applications. Accurate species identification confirmed the ability of our platform to genotype over 1, 000 multiplexed samples and identified areas for future methodological improvement such as optimization for low initial concentration samples. Finally, analyses within green turtles supported the ability of this platform to identify informative SNPs for stock structure, population assignment and other applications over a broad geographic range of interest to management. This platform provides an additional tool for marine turtle genetic studies and broadens capacity for future large‐scale initiatives such as collaborative global marine turtle genetic databases.