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Peraza, P.

Publications and source records attributed to Peraza, P..

2 recordsLinked to original sources

SMARTER-database: a tool to explore genomic diversity in small ruminants

Underutilized sheep and goat breeds have the ability to adapt to challenging environments due to their genetic composition. Integrating publicly available genomic datasets with new data will facilitate genetic diversity analyses; however, this process is complicated by important data discrepancies, such as outdated assembly versions or different data formats. Here we present the SMARTER-database, a collection of tools and scripts to standardize genomic data and metadata mainly from SNP chips arrays on global small ruminant populations with a focus on reproducibility. SMARTER-database harmonizes genotypes for about 12,000 sheep and 6,000 goats to a uniform coding and assembly version. Users can access the genotype data via FTP and interact with the metadata through a web interface or programmatically using their custom scripts, enabling efficient filtering and selection of samples. These tools will empower researchers to focus on the crucial aspects of adaptation and contribute to livestock sustainability, leveraging the rich dataset provided by the SMARTER-database. Availability & ImplementationThe code is available as open source software under the MIT license at https://github.com/cnr-ibba/SMARTER-database.

bioinformatics↗

Identification Of Candidate Genes And Pathways Linked To The Temperament Trait In Sheep

Temperament can be defined as the emotional variability among animals of the same species in response to the same stimulus, thus being able to group animals by reactivity as nervous, intermediate or calm. The main objective for this study was to identify genomic regions with the temperament phenotype measured by the Isolation Box Test (IBT) by single-step genome wide association studies (ssGWAS). The database used consisted of 4,317 animals with temperament records, and 1,697 genotyped animals with 38,268 effective SNP after quality control. We identified three genomic regions that explained the greatest percentage of the genetic variance, resulting in 25 SNP associated with candidate genes on chromosomes 6, 10 and 21. A total of nine candidate genes are reported for the temperament trait, which are: PYGM, SYVN1, CAPN1, FADS1, SYT7, GRID2, GPRIN3, EEF1A1 and FRY, linked to energetic activity of the organism, synaptic transmission, meat tenderness and calcium associated activities. This is the first study to identify these genetic variants associated with temperament in sheep, leading the opportinuty to potential applications of these molecular markers in future behavioral research.

genomics↗