First High-Density Linkage Map and Single Nucleotide Polymorphisms Significantly Associated With Traits of Economic Importance in Yellowtail Kingfish Seriola lalandi

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http://hdl.handle.net/10138/234752

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Nguyen , N H , Rastas , P M A , Premachandra , H K A & Knibb , W 2018 , ' First High-Density Linkage Map and Single Nucleotide Polymorphisms Significantly Associated With Traits of Economic Importance in Yellowtail Kingfish Seriola lalandi ' , Frontiers in Genetics , vol. 9 , 127 . https://doi.org/10.3389/fgene.2018.00127

Julkaisun nimi: First High-Density Linkage Map and Single Nucleotide Polymorphisms Significantly Associated With Traits of Economic Importance in Yellowtail Kingfish Seriola lalandi
Tekijä: Nguyen, Nguyen H.; Rastas, Pasi M. A.; Premachandra, H. K. A.; Knibb, Wayne
Tekijän organisaatio: Biosciences
Päiväys: 2018-04-17
Kieli: eng
Sivumäärä: 11
Kuuluu julkaisusarjaan: Frontiers in Genetics
ISSN: 1664-8021
DOI-tunniste: https://doi.org/10.3389/fgene.2018.00127
URI: http://hdl.handle.net/10138/234752
Tiivistelmä: The genetic resources available for the commercially important fish species Yellowtail kingfish (YTK) (Seriola lalandi) are relative sparse. To overcome this, we aimed (1) to develop a linkage map for this species, and (2) to identify markers/variants associated with economically important traits in kingfish (with an emphasis on body weight). Genetic and genomic analyses were conducted using 13,898 single nucleotide polymorphisms (SNPs) generated from a new high-throughput genotyping by sequencing platform, Diversity Arrays Technology (DArTseq (TM)) in a pedigreed population comprising 752 animals. The linkage analysis enabled to map about 4,000 markers to 24 linkage groups (LGs), with an average density of 3.4 SNPs per cM. The linkage map was integrated into a genome-wide association study (GWAS) and identified six variants/SNPs associated with body weight (P <5e(-8)) when a multi-locus mixed model was used. Two out of the six significant markers were mapped to LGs 17 and 23, and collectively they explained 5.8% of the total genetic variance. It is concluded that the newly developed linkage map and the significantly associated markers with body weight provide fundamental information to characterize genetic architecture of growth-related traits in this population of YTK S. lalandi.
Avainsanat: genotyping by sequencing
GWAS
aquaculture
gene identification
genetic improvement
GENOME-WIDE ASSOCIATION
HEIGHT
GROWTH
QTL
1184 Genetics, developmental biology, physiology
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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