Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.594234
Title: Porcine "chromonics" and insights into the genetic control of fatness
Author: Fowler, Katie Evelyn
Awarding Body: University of Kent
Current Institution: University of Kent
Date of Award: 2011
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Abstract:
The availability of genome sequence infonnation for an organism can allow genomic analysis from a chromosomal perspective (chromonomics). Chromonomics encompasses many investigations from karyotype definition to comparative fluorescence in-situ hybridization (FISH), from copy number variation (CNY) to sequence analysis on the chromosomal level. The species of interest in this thesis is the domestic pig (Sus scrota). The pig is an excellent model organism both for the study of various human diseases (both are similar in size and physiology) and from an agricultural perspective (pork is the world's most consumed meat). Fatness is a trait of interest in both disciplines as excess fat can cause many illnesses including heart disease, strokes and cancer. It is a commercially important trait due to the preference of markets for differing fat levels in their meat and the effect of marbling on taste. The aim of this thesis was to provide the most comprehensive "chromonomic" study of the porcine genome to date, specifically: • To use the programme "GenAlyzer" to establish chromosomal syntenies between pig, human and cattle to identify evolutionary breakpoint regions (EBRs), homologous synteny blocks (HSBs) and intrachromosomal translocations (lCTs) between the three species. This was achieved and FISH used to confirm the in-silica analysis for a selection of clones • To develop a means of retrieving sufficient quantities of DNA from archived blood spots to apply to SNP microarray. This was achieved from blood stored on "FTA Whatman cards" and 288 known individuals (96 "fat" and 96 "lean") from Sire Line Large White, Duroc and Titan pigs were interrogated using the IlIumina Porcine SNP60 Genotyping BeadChip • To derive CNV information from the SNP chip raw data, compare analysis algorithms ("QuantiSNP" and "cnvPartition"), provide an overview of CNVs in pigs and ask whether any CNVs are associated with a fatness phenotype. Candidate "fatness CNYs" contain genes including PPARa and MCHRI were implicated. • To perform a Genome wide association study, identify candidate SNPs associated with fatness and devise a means of detecting them easily and cheaply. Five SNPs were identified implicating genes including NTS, FABP6, SST, NR3C2 and GLOI. These "chromonomic" studies of the pig genome provide further insight into genome evolution and gene function in the pig, potentially infonning animal breeding programs. xvii
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.594234  DOI: Not available
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