De novo assembly of the Brown trout (Salmo trutta m. fario) brain and muscle transcriptome: transcript annotation, tissue differential expression profile and SNP discovery.

Objectives: The Brown trout is a salmonid species with a high commercial value in Europe. Life history and spawning behaviour include resident (Salmo trutta m. fario) and migratory (Salmo trutta m.

A common copy-number variant within SIRPB1 correlates with human Out-of-Africa migration after genetic drift correction.

Previous reports have proposed that personality may have played a role on human Out-Of-Africa migration, pinpointing some genetic variants that were positively selected in the migrating populations. In this work, we discuss the role of a common copy-number variant within the SIRPB1 gene, recently associated with impulsive behavior, in the human Out-Of-Africa migration. With the analysis of the variant distribution across forty-two different populations, we found that the SIRPB1 haplotype containing duplicated allele significantly correlated with human migratory distance, being one of the few examples of positively selected loci found across the human world colonization.

Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta).

The mechanisms that can contribute in the fish movement strategies and the associated behaviour can be complex and related to the physiology, genetic and ecology of each species. In the case of the brown trout (Salmo trutta), in recent research works, individual differences in mobility have been observed in a population living in a high mountain river reach (Pyrenees, NE Spain). The population is mostly sedentary but a small percentage of individuals exhibit a mobile behavior, mainly upstream movements.

Genotyping of common SIRPB1 copy number variant using Paralogue Ratio Test coupled to MALDI-MS quantification.

Copy number variant (CNV) regions have been proven to have a significant impact on gene expression. Some of them have been also found to be associated to different human diseases. CNV genotyping is often prone to error and cross-validation with independent methods is frequently required.