Fishing for DNA? Designing baits for population genetics in target enrichment experiments: Guidelines, considerations and the new tool supeRbaits

Abstract Targeted sequencing is an increasingly popular next‐generation sequencing (NGS) approach for studying populations that involves focusing sequencing efforts on specific parts of the genome of a species of interest. Methodologies and tools for designing targeted baits are scarce but in high d...

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Bibliographic Details
Published in:Molecular Ecology Resources
Main Authors: Jiménez‐Mena, Belén, Flávio, Hugo, Henriques, Romina, Manuzzi, Alice, Ramos, Miguel, Meldrup, Dorte, Edson, Janette, Pálsson, Snæbjörn, Ásta Ólafsdóttir, Guðbjörg, Ovenden, Jennifer R., Nielsen, Einar Eg
Other Authors: Innovationsfonden
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
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Online Access:http://dx.doi.org/10.1111/1755-0998.13598
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1755-0998.13598
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/1755-0998.13598
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Summary:Abstract Targeted sequencing is an increasingly popular next‐generation sequencing (NGS) approach for studying populations that involves focusing sequencing efforts on specific parts of the genome of a species of interest. Methodologies and tools for designing targeted baits are scarce but in high demand. Here, we present specific guidelines and considerations for designing capture sequencing experiments for population genetics for both neutral genomic regions and regions subject to selection. We describe the bait design process for three diverse fish species: Atlantic salmon, Atlantic cod and tiger shark, which was carried out in our research group, and provide an evaluation of the performance of our approach across both historical and modern samples. The workflow used for designing these three bait sets has been implemented in the R‐package supeRbaits, which encompasses our considerations and guidelines for bait design for the benefit of researchers and practitioners. The supeRbaits R‐package is user‐friendly and versatile. It is written in C++ and implemented in R. supeRbaits and its manual are available from Github: https://github.com/BelenJM/supeRbaits