TECHNICAL ARTICLE: SNP-SCALE: SNP scoring by colour and length exclusion

Divergence in expression of candidate genes for the smoltification process between juvenile resident rainbow and anadromous steelhead trout

Rainbow and steelhead trout (Oncorhynchus mykiss), among other salmonid fishes, exhibit tremendous life history diversity, foremost of which is variation in migratory propensity. While some individuals possess the ability to undertake an anadromous marine migration, others remain resident in freshwater throughout their life cycle. Those that will migrate undergo tremendous physiological, morphological, and behavioral transformations in a process called smoltification which transitions freshwater-adapted parr to marine-adapted smolts. While the behavior, ecology, and physiology of smoltification are well described, our understanding of the proximate genetic mechanisms that trigger the process are not well known. Quantitative genetic analyses have identified several genomic regions associated with smoltification and migration-related traits within this species. Here we investigate the divergence in gene expression of 18 functional and positional candidate genes for the smoltification process in the brain, gill, and liver tissues of migratory smolts, resident parr, and precocious mature male trout at the developmental stage of out-migration. Our analysis reveals several genes differentially expressed between life history classes and validates the candidate nature of several genes in the parr-smolt transformation including Clock1α, FSHβ, GR, GH2, GHR1, GHR2, NDK7, p53, SC6a7, Taldo1, THRα, THRβ, and Vdac2.

Multiplex SNP-SCALE: a cost-effective medium-throughput single nucleotide polymorphism genotyping method

We describe a convenient, cost-effective and flexible medium-throughput single nucleotide polymorphism (SNP) genotyping method, Multiplex SNP-SCALE, which enables the simultaneous amplification by polymerase chain reaction (PCR) of up to 25 (or potentially more) loci followed by electrophoresis in an automated DNA sequencer. We extended the original SNP-SCALE method to include (i) use of a commercial multiplex PCR kit, (ii) a four-dye system, (iii) much-reduced (2-µL) reaction volumes, (iv) drying down of template DNA before PCR, (v) use of pig-tailed primers, (vi) a PCR product weighting system, (vii) a standard optimized touchdown PCR thermocycling programme, and (viii) software (SNP-SCALE Primer Designer) that automatically designs suitable SNP-SCALE primers for a batch of loci. This new protocol was validated for different types of SNPs. The method is cost- and time-effective for medium-scale evolutionary and ecological projects involving 10s to 100s of loci.

Genetic testing for phenotype-causing variants in sheep and goats

This review gives an overview on ovine and caprine defects/disorders, disease predispositions, production traits and coat colours for which causal gene variants are known. Most phenotypes are inherited autosomal-recessive or dominant and in the majority are caused by single nucleotide substitutions or deletions. Causative sequence variants mainly were identified by sequencing candidate genes in the past, and recently also by whole genome analysis using the ovine 50k SNP chip. While PCR-fragment length polymorphism analyses were developed for the majority of causative sequence variants, other low- to medium-throughput PCR-based methods as PCR-single strand conformation analysis and allele-specific PCR were also established frequently. For processing large sample numbers, high-throughput methods as MALDI-ToF MS or real-time PCR are available for some gene variants. Further progress in development of ovine and caprine genome sequences and SNP chips will be beneficial for the discovery of additional causative variants in these two species.

Mitochondrial haplotype does not influence sperm motility in a UK population of men

BACKGROUND

Sperm motility is regulated by mitochondrial enzymes that are partially encoded by mitochondrial DNA (mtDNA). MtDNA has therefore been suggested as a putative genetic marker of male fertility. However, recent studies in different populations have identified both significant and non-significant associations between mtDNA variation and sperm motility. Here, we tested whether mtDNA variation was associated with sperm motility in a large cohort of men from the UK, to test the robustness of previous studies and the reliability of mtDNA as a marker of poor sperm motility.

METHODS

A total of 463 men attending for semen analysis as part of infertility investigations were recruited from a UK laboratory. Sperm motility was measured using both computer-assisted sperm analysis and traditional manual measurements. MtDNA haplogroup and haplotype were determined in 357 and 298 men, respectively, using single nucleotide polymorphism (SNP) markers throughout the mtDNA genome, and compared with sperm motility data. The linkage between the SNP markers, and possible associations between individual SNPs and motility, were also investigated.

RESULTS

We found no statistical association between haplogroup or haplotype and sperm motility, regardless of how it was measured (P > 0.05 in all cases). Moreover, individual SNPs which were in linkage disequilibrium and dispersed across the mitochondrial genome, and therefore sensitive to mtDNA variation, were not predictive of sperm motility.

CONCLUSIONS

Mitochondrial haplotype is unlikely to be a reliable genetic marker of male factor infertility.

Mitochondrial haplotype does not affect sperm velocity in the zebra finch Taeniopygia guttata

Mitochondrial DNA (mtDNA) variation has been suggested as a possible cause of variation in male fertility because sperm activity is tightly coupled to mitochondrial oxidative phosphorylation and ATP production, both of which are sensitive to mtDNA mutations. Since male-specific phenotypes such as sperm have no fitness consequences for mitochondria due to maternal mitochondrial (and mtDNA) inheritance, mtDNA mutations that are deleterious in males but which have negligible or no fitness effect in females can persist in populations. How often such mutations arise and persist is virtually unknown. To test whether there were associations between mtDNA variation and sperm performance, we haplotyped 250 zebra finches Taeniopygia guttata from a large pedigreed-population and measured sperm velocity using computer-assisted sperm analysis. Using quantitative genetic 'animal' models, we found no effect of mtDNA haplotype on sperm velocity. Therefore, there is no evidence that in this system mitochondrial mutations have asymmetric fitness effects on males and females, leading to genetic variation in male fertility that is blind to natural selection.

Allele-specific PCR in SNP genotyping

The increasing need for large-scale genotyping applications of single nucleotide polymorphisms (SNPs) in model and nonmodel organisms requires the development of low-cost technologies accessible to minimally equipped laboratories. The method presented here allows efficient discrimination of SNPs by allele-specific PCR in a single reaction with standard PCR conditions. A common reverse primer and two forward allele-specific primers with different tails amplify two allele-specific PCR products of different lengths, which are further separated by agarose gel electrophoresis. PCR specificity is improved by the introduction of a destabilizing mismatch within the 30 end of the allele-specific primers. This is a simple and inexpensive method for SNP detection that does not require PCR optimization.

Gene mapping in the wild with SNPs: guidelines and future directions

One of the biggest challenges facing evolutionary biologists is to identify and understand loci that explain fitness variation in natural populations. This review describes how genetic (linkage) mapping with single nucleotide polymorphism (SNP) markers can lead to great progress in this area. Strategies for SNP discovery and SNP genotyping are described and an overview of how to model SNP genotype information in mapping studies is presented. Finally, the opportunity afforded by new generation sequencing and typing technologies to map fitness genes by genome-wide association studies is discussed.