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Christos Palaiokostas

Researcher at Swedish University of Agricultural Sciences

Publications -  40
Citations -  1346

Christos Palaiokostas is an academic researcher from Swedish University of Agricultural Sciences. The author has contributed to research in topics: Population & Nile tilapia. The author has an hindex of 15, co-authored 35 publications receiving 1036 citations. Previous affiliations of Christos Palaiokostas include University of Stirling & The Roslin Institute.

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Applications of genotyping by sequencing in aquaculture breeding and genetics.

TL;DR: Direct genotyping by sequencing (GBS) techniques have underpinned many of the advances in aquaculture genetics and breeding to date, and have been extensively applied to generate population‐level SNP genotype data.
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Mapping and validation of the major sex-determining region in Nile tilapia (Oreochromis niloticus L.) Using RAD sequencing.

TL;DR: This study narrows down the region containing the main sex-determining region, and provides genetic markers tightly linked to this locus, with an association that persisted across the population.
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Mapping the sex determination locus in the Atlantic halibut (Hippoglossus hippoglossus) using RAD sequencing

TL;DR: These findings support the hypothesis that the Atlantic halibut has an XX/XY sex determination system and help to speed up the inclusion of neomales derived from many families to maintain a larger effective population size and ensure long-term improvement through selective breeding.
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A novel sex-determining QTL in Nile tilapia (Oreochromis niloticus)

TL;DR: Overall, the results from this study suggest that these previously undetected QTLs are involved in sex determination in the Nile tilapia, causing sex reversal (masculinisation) with respect to the XX genotype at the major sex-determining locus in LG 1.
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Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass ( Dicentrarchus labrax ) using RAD sequencing

TL;DR: Tests of genomic prediction suggested that incorporating genome-wide SNP data is likely to result in higher accuracy of estimated breeding values for resistance to VNN, and this study highlights the potential of genomic selection to breed farmed European sea bass with improved resistance toVNN.