Mining livestock genome datasets for an unconventional characterization of animal DNA viromes.

Whole genome sequencing (WGS) datasets, usually generated for the investigation of the individual animal genome, can be used for additional mining of the fraction of sequencing reads that remains unmapped to the respective reference genome. A significant proportion of these reads contains viral DNA derived from viruses that infected the sequenced animals. In this study, we mined more than 480 billion sequencing reads derived from 1471 WGS datasets produced from cattle, pigs, chickens and rabbits. We identified 367 different viruses among which 14, 11, 12 and 1 might specifically infect the cattle, pig, chicken and rabbit, respectively. Some of them are ubiquitous, avirulent, highly or potentially damaging for both livestock and humans. Retrieved viral DNA information provided a first unconventional and opportunistic landscape of the livestock viromes that could be useful to understand the distribution of some viruses with potential deleterious impacts on the animal food production systems. • Whole genome sequencing (WGS) datasets from livestock can be mined to identify virus sequences. • A total of 1471 WGS datasets from cattle, pigs, chickens and rabbits were analyzed. • 367 different viruses were identified: 14, 11, 12 and 1 were specific for cattle, pig, chicken and rabbit, respectively. • Some are ubiquitous, avirulent or potentially highly damaging for both livestock and humans. • Retrieved viral DNA information provided a first unconventional landscape of livestock viromes. [ABSTRACT FROM AUTHOR]