Microbial composition differs between production systems and is associated with growth performance and carcass quality in pigs.

Background: The role of the microbiome in livestock production has been highlighted in recent research. Currently, little is known about the microbiome's impact across different systems of production in swine, particularly between selection nucleus and commercial populations. In this paper, we investigated fecal microbial composition in nucleus versus commercial systems at different time points.

Gut microbiome composition differences among breeds impact feed efficiency in swine.

Background: Feed efficiency is a crucial parameter in swine production, given both its economic and environmental impact. The gut microbiota plays an essential role in nutrient digestibility and is, therefore, likely to affect feed efficiency. This study aimed to characterize feed efficiency, fatness traits, and gut microbiome composition in three major breeds of domesticated swine and investigate a possible link between feed efficiency and gut microbiota composition.

Heritability and genome-wide association of swine gut microbiome features with growth and fatness parameters.

Despite recent efforts to characterize longitudinal variation in the swine gut microbiome, the extent to which a host's genome impacts the composition of its gut microbiome is not yet well understood in pigs. The objectives of this study were: i) to identify pig gut microbiome features associated with growth and fatness, ii) to estimate the heritability of those features, and, iii) to conduct a genome-wide association study exploring the relationship between those features and single nucleotide polymorphisms (SNP) in the pig genome. A total of 1,028 pigs were characterized.

CDEK: Clinical Drug Experience Knowledgebase.

The Clinical Drug Experience Knowledgebase (CDEK) is a database and web platform of active pharmaceutical ingredients with evidence of clinical testing as well as the organizations involved in their research and development. CDEK was curated by disambiguating intervention and organization names from ClinicalTrials.gov and cross-referencing these entries with other prominent drug databases.

Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

In this paper, we evaluated the power of microbiome measures taken at three time points over the growth test period (weaning, 15 and 22 weeks) to foretell growth and carcass traits in 1039 individuals of a line of crossbred pigs. We measured prediction accuracy as the correlation between actual and predicted phenotypes in a five-fold cross-validation setting. Phenotypic traits measured included live weight measures and carcass composition obtained during the trial as well as at slaughter.

Assessing the public landscape of clinical-stage pharmaceuticals through freely available online databases.

Several public databases have emerged over the past decade to enable chemo- and bio-informatics research in the field of drug development. To a naive observer, as well as many seasoned professionals, the differences among many drug databases are unclear. We assessed the availability of all pharmaceuticals with evidence of clinical testing (i.

Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth.

Background: In pigs, gut bacteria have been shown to play important roles in nutritional, physiological, and immunological processes in the host. However, the contribution of their metagenomes or part of them, which are normally reflected by fragments of 16S rRNA-encoding genes, has yet to be fully investigated.

Results: Fecal samples, collected from a population of crossbred pigs at three time points, including weaning, week 15 post weaning (hereafter "week 15"), and end-of-feeding test (hereafter "off-test"), were used to evaluate changes in the composition of the fecal microbiome of each animal over time.

Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks.

Small-molecule screens are an integral part of drug discovery. Public domain data in PubChem alone represent more than 158 million measurements, 1.2 million molecules, and 4300 assays.