Spawning aggregations of Pacific herring (Clupea pallasi) often exhibit significant interannual variation in allele frequencies of neutral gene markers. We isolated 14 tetranucleotide microsatellites to examine hypothetical processes that may produce this unique genetic signal. We developed and tested primer pairs for each locus and then estimated locus variability in samples (n = 60) from two populations. The number of alleles per locus ranged from five to 49. The expected heterozygosity across loci and populations ranged from 0.20 to 0.96. These microsatellites will be useful for estimating genetic variation in herring on a fine geographical scale.
Aims: To rapidly screen Scottish patients with a family history of open angle glaucoma (OAG) or ocular hypertension (OHT) for mutations in the myocilin gene (MYOC) and develop a new rapid screening method for MYOC mutation detection. Methods: All three exons of the MYOC gene were amplified by PCR from genomic DNA and subjected to direct DNA sequencing. Mutation detection methodology was also developed based on denaturing high performance liquid chromatography (DHPLC). A recurrent mutation was investigated by analysis of microsatellite haplotypes at the MYOC gene locus. Results: Mutations were identified by DNA sequencing in four families. MYOC mutation Q368X was found in three kindreds and the fourth family carried the mutation G367R. The Q368X mutation was found to be associated with the same haplotype for markers closely flanking the MYOC gene. The mutations were identified by direct sequencing and were also readily detected by DHPLC analysis of PCR fragments, demonstrating that this is a robust method for MYOC analysis in future. Conclusions: Mutations in the MYOC gene were identified in patients presenting with highly variable phenotypes from normal through OHT to severe OAG. Haplotype analysis showed that mutation Q368X is likely to be an ancestral mutation in this population. DHPLC analysis is an accurate, rapid and cost effective method for MYOC mutation analysis in large population samples.
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