Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing
Gilthead sea bream (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 b...
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doaj-39b793963b3049f4b2a40548dc0f061d2020-11-25T00:09:55ZengFrontiers Media S.A.Frontiers in Genetics1664-80212019-08-011010.3389/fgene.2019.00675431679Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD SequencingDimitrios Kyriakis0Dimitrios Kyriakis1Dimitrios Kyriakis2Alexandros Kanterakis3Tereza Manousaki4Alexandros Tsakogiannis5Michalis Tsagris6Ioannis Tsamardinos7Leonidas Papaharisis8Dimitris Chatziplis9George Potamias10Costas S. Tsigenopoulos11School of Medicine, University of Crete, Heraklion, GreeceFoundation for Research and Technology–Hellas (FORTH), Heraklion, GreeceInstitute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Center for Marine Research (HCMR) Crete, GreeceFoundation for Research and Technology–Hellas (FORTH), Heraklion, GreeceInstitute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Center for Marine Research (HCMR) Crete, GreeceInstitute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Center for Marine Research (HCMR) Crete, GreeceDeparment of Economics, University of Crete, Gallos Campus, Rethymnon, GreeceDepartment of Computer Science, University of Crete, Voutes Campus, Heraklion, GreeceNireus Aquaculture SA, Koropi, GreeceDepartment of Agriculture Technology, Alexander Technological Education Institute of Thessaloniki, Thessaloniki, GreeceFoundation for Research and Technology–Hellas (FORTH), Heraklion, GreeceInstitute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Center for Marine Research (HCMR) Crete, GreeceGilthead sea bream (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 sea bream 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 9 single SNPs and 6 groups of SNPs associated with weight-related phenotypes (Weight and Tag Weight), 2 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, and 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 sea bream aquaculture productivity by providing genomic anchors for selection programs.https://www.frontiersin.org/article/10.3389/fgene.2019.00675/fullaquacultureSparus auratadouble digest random amplified DNAGenome Wide Association Studyfeature selection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dimitrios Kyriakis Dimitrios Kyriakis Dimitrios Kyriakis Alexandros Kanterakis Tereza Manousaki Alexandros Tsakogiannis Michalis Tsagris Ioannis Tsamardinos Leonidas Papaharisis Dimitris Chatziplis George Potamias Costas S. Tsigenopoulos |
spellingShingle |
Dimitrios Kyriakis Dimitrios Kyriakis Dimitrios Kyriakis Alexandros Kanterakis Tereza Manousaki Alexandros Tsakogiannis Michalis Tsagris Ioannis Tsamardinos Leonidas Papaharisis Dimitris Chatziplis George Potamias Costas S. Tsigenopoulos Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing Frontiers in Genetics aquaculture Sparus aurata double digest random amplified DNA Genome Wide Association Study feature selection |
author_facet |
Dimitrios Kyriakis Dimitrios Kyriakis Dimitrios Kyriakis Alexandros Kanterakis Tereza Manousaki Alexandros Tsakogiannis Michalis Tsagris Ioannis Tsamardinos Leonidas Papaharisis Dimitris Chatziplis George Potamias Costas S. Tsigenopoulos |
author_sort |
Dimitrios Kyriakis |
title |
Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing |
title_short |
Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing |
title_full |
Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing |
title_fullStr |
Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing |
title_full_unstemmed |
Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing |
title_sort |
scanning of genetic variants and genetic mapping of phenotypic traits in gilthead sea bream through ddrad sequencing |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2019-08-01 |
description |
Gilthead sea bream (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 sea bream 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 9 single SNPs and 6 groups of SNPs associated with weight-related phenotypes (Weight and Tag Weight), 2 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, and 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 sea bream aquaculture productivity by providing genomic anchors for selection programs. |
topic |
aquaculture Sparus aurata double digest random amplified DNA Genome Wide Association Study feature selection |
url |
https://www.frontiersin.org/article/10.3389/fgene.2019.00675/full |
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