Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing.

ABSTRACT:

Background

Genome-wide data are invaluable to characterize differentiation and adaptation of natural populations. Reduced representation sequencing (RRS) subsamples a genome repeatedly across many individuals. However, RRS requires careful optimization and fine-tuning to deliver high marker density while being cost-efficient. The number of genomic fragments created through restriction enzyme digestion and the sequencing library setup must match to achieve sufficient sequencing coverage per locus. Here, we present a workflow based on published information and computational and experimental procedures to investigate and streamline the applicability of RRS.

Results

In an iterative process genome size estimates, restriction enzymes and size selection windows were tested and scal

SUBMITTER: Christiansen H 

PROVIDER: S-EPMC8380342 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature