Impact Factor 3.517
2018 JCR, Web of Science Group 2019

Frontiers journals are at the top of citation and impact metrics

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2019.00675

Scanning of genetic variants and genetic mapping of phenotypic traits in gilthead seabream through ddRAD sequencing

  • 1School of Medicine, University of Crete, Greece
  • 2Institute of Computer Science (ICS), Foundation for Research and Technology (FORTH), Greece
  • 3Institute of Marine Biology, Biotechnology & Aquaculture, Hellenic Centre for Marine Research, Greece
  • 4Department of Computer Science, School of Sciences and Engineering, University of Crete, Greece
  • 5Nireus Aquaculture, Greece
  • 6Department of Agricultural Technology, Alexander Technological Educational Institute of Thessaloniki, Greece

Gilthead seabream (\textit{Sparus aurata}) is a teleost of considerable economic importance in Southern European aquaculture. The aquaculture industry shows a growing interest in the application of genetic methods that can locate phenotype-genotype associations with high economic impact. Through selective breeding, the aquaculture industry can exploit this information to maximize the financial yield. Here, we present a Genome Wide Association Study (GWAS) of 112 samples belonging to seven different seabream families collected from a Greek commercial aquaculture company. Through double digest Random Amplified DNA (ddRAD) Sequencing, we generated a per-sample genetic profile consisting of 2,258 high quality Single Nucleotide Polymorphisms (SNPs). These profiles were tested for association with four phenotypes of major financial importance: Fat, Weight, Tag Weight and the Length to Width ratio. We applied two methods of association analysis. The first is the typical single-SNP to phenotype test, and the second is a feature selection (FS) method through two novel algorithms that are employed for the first time in aquaculture genomics and produce groups with multiple-SNPs associated to a phenotype. In total, we identified nine single-SNPs and six groups of SNPs associated with weight related phenotypes (Weight and Tag Weight), two groups associated with Fat, and 16 groups associated with the Length to Width ratio. Six identified loci (Chr4:23265532, Chr6:12617755, Chr:8:11613979, Chr13:1098152, Chr15:3260819, Chr22:14483563) were present in genes associated with growth in other teleosts or even mammals, such as semaphorin-3A, and neurotrophin-3. These loci are strong candidates for future studies that will help us unveil the genetic mechanisms underlying growth and improve the seabream aquaculture productivity by providing genomic anchors for selection programs.

Keywords: Aquaculture, Sparus aurata, ddRAD, GWAS, feature selection

Received: 19 Oct 2018; Accepted: 27 Jun 2019.

Edited by:

Lior David, Hebrew University of Jerusalem, Israel

Reviewed by:

Gen Hua YUE, Temasek Life Sciences Laboratory, Singapore
GONZALO MARTINEZ-RODRIGUEZ, Institute of Marine Sciences of Andalusia (ICMAN), Spain
Diego Robledo, Roslin Institute, University of Edinburgh, United Kingdom  

Copyright: © 2019 KYRIAKIS, Kanterakis, Manousaki, Tsakogiannis, Tsagris, Tsamardinos, Papaharisis, Chatziplis, Potamias and Tsigenopoulos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Costas S. Tsigenopoulos, Institute of Marine Biology, Biotechnology & Aquaculture, Hellenic Centre for Marine Research, Heraklion, Crete, Greece, tsigeno@hcmr.gr