Department of Genetics

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Browsing Department of Genetics by Subject "Abalone culture breeding -- South Africa"

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    Medium-throughput SNP genotyping and linkage mapping in Haliotis midae
    (Stellenbosch : Stellenbosch University, 2012-12) Du Plessis, Jana; Roodt-Wilding, Rouvay; Bester-van der Merwe, Aletta Elizabeth; Stellenbosch University. Faculty of AgriSciences. Dept. of Genetics.
    ENGLISH ABSTRACT: Haliotis midae (locally also known as perlemoen) is the largest of five endemic species found along the coast of South Africa. It is the only species with commercial value contributing to the exploitation of these animals. Due to declines of natural stocks, farming practices were established during the early 1990s in order to supply the international demand. To facilitate efficient breeding methods and ensure the sustainability of these commercial populations, genetic management, which can be accomplished with the use of molecular markers such as single nucleotide polymorphisms (SNPs), is necessary. Single nucleotide polymorphisms have become the markers of choice in various applications in aquaculture genetics due to their abundance in genomes, reduction in developmental costs and increased throughput of genotyping assays. Identification of SNPs in non-model species such as H. midae can be achieved by in silico approaches. In silico methods are suitable for de novo SNP identification and are both cost- and time-efficient. It is based on the analysis of multiple alignments where mismatches may be reported as candidate SNPs. Various medium-throughput genotyping methods are available to confirm putative SNPs, but the ideal method depends on factors such as cost, accuracy and multiplexing capacity. Although SNP markers can have various applications within the aquaculture environment the focus for this current study was saturating the linkage map of H. midae with additional markers. This would assist in the identification of quantitative trait loci associated with economically important traits, which in turn could ultimately be employed for marker-assisted selection and improved molecular breeding programs. In order to identify in silico SNPs, sequenced transcriptome data from a previous study was used and subjected to a series of criteria: minor allele frequency 10%, minimum coverage 80, 60 bp flanking regions. Selected loci were genotyped using a 192-plex assay with the Illumina GoldenGate genotyping assay with the VeraCode technology on the BeadXpress platform, in individuals from six mapping families. A conversion rate of 69.35% and global success rate of 76.34% was achieved. Polymorphic loci were subjected to linkage analysis using JoinMap® v.4.1 to create sex-average and sex-specific maps and to saturate the current linkage map for H. midae. Along with previously developed markers, 54% of the newly developed SNPs could be successfully incorporated into the linkage map of H. midae. A total of 18 linkage groups were observed with an average marker spacing of 6.9 cM and genome coverage of 79.1%. Bioinformatic analyses and setting stringent criteria to identify SNPs from sequenced transcriptomic data proved to be an efficient way for SNP discovery in the current study. Genotyping of the identified loci with the GoldenGate genotyping assay demonstrated a high success rate; providing a genotyping assay adequate for species with little genomic information. The linkage map created in this study illustrated the utility of SNP markers in conjunction with microsatellite markers for linkage map construction and the adequate marker spacing obtained provides a step closer to quantitative trait loci mapping in this species.