Genomics in Livestock Breeding Flashcards
Genomic information – the basic tools
- Microsatellites/Restriction Fragment Length Polymorphisms • No longer used as marker of choice
- Single Nucleotide Polymorphisms (SNPs) • Whole genome sequencing
What are Single Nucleotide Polymorphisms (SNPs)?
- Single base pair positions in DNA at which different sequence alternatives (alleles) exist in a population
- Only considered to be SNPs if least abundant allele has a frequency of 1% or more (minor allele frequency – MAF)
- Frequency estimated to be 1/1000 base pairs
Why are SNPs useful?
• Distributed throughout the genome – coding and non-coding DNA
• Potential of high density of markers
• Automated genotyping of SNP arrays – more cost
effective
BUT
• Only two alleles at any SNP (less variable that micro-satellites)
• SNP arrays only available for well characterised species (e.g. livestock)
SNP arrays used in Livestock
• Low density (5K – 20K)
• 5-20 000 SNPs
• Low cost option
• Insufficient detail for many applications • Can be used with medium density arrays
• Medium density (40-50K) • 40-50 000 SNPs
• Used widely
• High density (700-800K) • Expensive
• Used for sires and research
Each SNP array is specific to one company
Imputation of genotypes
Genotype imputation is a process of estimating missing genotypes from the haplotype or genotype reference panel. It can effectively boost the power of detecting single nucleotide polymorphisms (SNPs)
Whole genome sequencing
- Original method - Sanger Sequencing
- Series of labelled single strands of DNA
- Separated by electrophoresis
- Used to construct a base by base copy of fragments of up to 1Kb
- Genome Assembly - overlap of fragments used to construct a whole genome sequence
- Usually only the non-repetitive DNA that is sequenced – but gaps are being filled in
Genotyping by sequencing - GBS
- Efficient – high throughput sequencing
- Restriction enzymes digest DNA • PCR used to replicate fragments • 100 bp fragments sequenced
- Detailed genotyping of whole genome
Parentage assignment and verification
• Maintain/verify accuracy of pedigree records
• Extensive systems – avoids handling at birth e.g
Deer and Sheep
• Animals to small to tag at birth e.g. Fish
• Multiple sire mating
• Parentage panels - SNPs are chosen because they are variable across many breeds/populations
Single locus traits – e.g inherited disorders
Increasing number of genetic tests available:
Use individual SNPs known to be associated with locus
Polygenic traits
Polygenic traits QUANTITATIVE
• Information from SNP arrays used to increase accuracy of Estimated Breeding Values
Clues to an animal’s breeding value
• Own performance • Repeated measures of performance • Performance of relatives • Performance in related traits •Genomic information
Estimated Breeding Values
Best Linear Unbiased Prediction
Own performance Repeated measures of Performance Performance in related traits Performance of relatives Genomic information
Genomic Breeding Values
• Uses Single Nucleotide Polymorphism (SNP) genotypes at thousands of sites across the genome
• 5K SNP chip – 5000 genotypes
• 700K SNP chip – 700 000 genotypes
• Increased accuracy of EBVs based on:
• Prediction equations that relate genotypic
variation to performance
• Better measure of genetic relationship between animals
Reference population
• Increased accuracy based on prediction equations that relate genotypic variation to performance
Genomic breeding values – increasing accuracy
Increased accuracy based on prediction equations that relate genotypic variation to performance • Once prediction equations established • Genotypes from DNA sample can be used to predict breeding value DNA can be sampled from birth