Data from: Practical low-coverage genomewide sequencing of hundreds of individually barcoded samples for population and evolutionary genomics in nonmodel species

Today most population genomic studies of nonmodel organisms either
sequence a subset of the genome deeply in each individual or sequence
pools of unlabelled individuals. With a step-by-step workflow, we
illustrate how low-coverage whole-genome sequencing of hundreds of
individually barcoded samples is now a practical alternative strategy for
obtaining genomewide data on a population scale. We used a highly
efficient protocol to generate high-quality libraries for ~6.5 USD from
each of 876 Atlantic silversides (a teleost fish with a genome size ~730
Mb) that we sequenced to 1–4× genome coverage. In the absence of a
reference genome, we developed a bioinformatic pipeline for mapping the
genomic reads to a de novo assembled reference transcriptome. This
provides an ‘in silico’ method for exome capture that avoids the
complexities and expenses of using wet chemistry for target isolation.
Using novel tools for analysis of low-coverage data, we extracted
population allele frequencies, individual genotype likelihoods and
polymorphism data for 2 504 335 SNPs across the exome for the 876 fish. To
illustrate the use of the resulting data, we present a preliminary
analysis of geographical patterns in the exome data and a comparison of
complete mitochondrial genome sequences for each individual (constructed
from the low-coverage data) that show population colonization patterns
along the US east coast. With a total cost per sample of less than 50 USD
(including sequencing) and ability to prepare 96 libraries in only 5 h,
our approach adds a viable new option to the population genomics toolbox.