A novel method of library construction that takes advantage of a single-stranded DNA ligase has been recently described and used to generate high-resolution genomes from ancient DNA samples. While this method is effective and appears to recover a greater fraction of endogenous ancient material, there has been no direct comparison of results from different library construction methods on a diversity of ancient DNA samples. In addition, the single-stranded method is limited by high cost and lengthy preparation time and is restricted to the Illumina sequencing platform. Here we present in-depth comparisons of the different available library construction methods for DNA purified from 16 ancient and modern faunal and human remains, covering a range of different taphonomic and climatic conditions. We further present a DNA purification method for ancient samples that permits the concentration of a large volume of dissolved extract with minimal manipulation and methodological improvements to the single-stranded method to render it more economical and versatile, in particular to expand its use to both the Illumina and the Ion Torrent sequencing platforms. We show that the single-stranded library construction method improves the relative recovery of endogenous to exogenous DNA for most, but not all, of our ancient extracts.

Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104,185 proteotypic peptides from 10,405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovary, spleen, and testis) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes. We employ this resource to quantify the proteome across brain, muscle, and liver and characterize divergent expression levels of paralogous proteins in different tissues. Data are available via ProteomeXchange (PXD010876, PXD010869) and SWATHAtlas (PASS01237).