Study of Alzheimer's disease- and frontotemporal dementia-associated genes in the Cretan Aging Cohort.

Using exome sequencing, we analyzed 196 participants of the Cretan Aging Cohort (CAC; 95 with Alzheimer's disease [AD], 20 with mild cognitive impairment [MCI], and 81 cognitively normal controls). The APOE ε4 allele was more common in AD patients (23.2%) than in controls (7.4%; p < 0.01) and the PSEN2 p.Arg29His and p.Cys391Arg variants were found in 3 AD and 1 MCI patient, respectively. Also, we found the frontotemporal dementia (FTD)-associated TARDBP gene p.Ile383Val variant in 2 elderly patients diagnosed with AD and in 2 patients, non CAC members, with the amyotrophic lateral sclerosis/FTD phenotype. Furthermore, the p.Ser498Ala variant in the positively selected GLUD2 gene was less frequent in AD patients (2.11%) than in controls (16%; p < 0.01), suggesting a possible protective effect. While the same trend was found in another local replication cohort (n = 406) and in section of the ADNI cohort (n = 808), this finding did not reach statistical significance and therefore it should be considered preliminary. Our results attest to the value of genetic testing to study aged adults with AD phenotype.

Second generation genetic linkage map for the gilthead sea bream Sparus aurata L.

An updated second linkage map was constructed for the gilthead sea bream, Sparus aurata L., a fish species of great economic importance for the Mediterranean aquaculture industry. In contrast to the first linkage map which mainly consisted of genomic microsatellites (SSRs), the new linkage map is highly enriched with SSRs found in Expressed Sequence Tags (EST-SSRs), which greatly facilitates comparative mapping with other teleosts. The new map consists of 321 genetic markers in 27 linkage groups (LGs): 232 genomic microsatellites, 85 EST-SSRs and 4 SNPs; of those, 13 markers were linked to LGs but were not ordered. Eleven markers (5 SSRs, 5 EST-SSRs and 1 SNP) are not assigned to any LG. The total length of the sex-averaged map is 1769.7cM, 42% longer than the previously published one, and the number of markers in each LG ranges from 2 to 30. The inter-marker distance varies from 0 to 75.6cM, with an average of 5.75cM. The male and female maps have a length of 1349.2 and 2172.1cM, respectively, and the average distance between markers is 4.38 and 7.05cM, respectively. Comparative mapping with the three-spined stickleback (Gasterosteus acuulatus) chromosomes and scaffolds showed conserved synteny with 132 S. aurata markers (42.9% of those mapped) having a hit on the stickleback genome.

ChromatoGate: A Tool for Detecting Base Mis-Calls in Multiple Sequence Alignments by Semi-Automatic Chromatogram Inspection.

Automated DNA sequencers generate chromatograms that contain raw sequencing data. They also generate data that translates the chromatograms into molecular sequences of A, C, G, T, or N (undetermined) characters. Since chromatogram translation programs frequently introduce errors, a manual inspection of the generated sequence data is required. As sequence numbers and lengths increase, visual inspection and manual correction of chromatograms and corresponding sequences on a per-peak and per-nucleotide basis becomes an error-prone, time-consuming, and tedious process. Here, we introduce ChromatoGate (CG), an open-source software that accelerates and partially automates the inspection of chromatograms and the detection of sequencing errors for bidirectional sequencing runs. To provide users full control over the error correction process, a fully automated error correction algorithm has not been implemented. Initially, the program scans a given multiple sequence alignment (MSA) for potential sequencing errors, assuming that each polymorphic site in the alignment may be attributed to a sequencing error with a certain probability. The guided MSA assembly procedure in ChromatoGate detects chromatogram peaks of all characters in an alignment that lead to polymorphic sites, given a user-defined threshold. The threshold value represents the sensitivity of the sequencing error detection mechanism. After this pre-filtering, the user only needs to inspect a small number of peaks in every chromatogram to correct sequencing errors. Finally, we show that correcting sequencing errors is important, because population genetic and phylogenetic inferences can be misled by MSAs with uncorrected mis-calls. Our experiments indicate that estimates of population mutation rates can be affected two- to three-fold by uncorrected errors.

In silico mining and characterization of simple sequence repeats from gilthead sea bream (Sparus aurata) expressed sequence tags (EST-SSRs); PCR amplification, polymorphism evaluation and multiplexing and cross-species assays.

We screened for simple sequence repeats (SSRs) found in ESTs derived from an EST-database development project ('Marine Genomics Europe' Network of Excellence). Different motifs of di-, tri-, tetra-, penta- and hexanucleotide SSRs were evaluated for variation in length and position in the expressed sequences, relative abundance and distribution in gilthead sea bream (Sparus aurata). We found 899 ESTs that harbor 997 SSRs (4.94%). On average, one SSR was found per 2.95 kb of EST sequence and the dinucleotide SSRs are the most abundant accounting for 47.6% of the total number. EST-SSRs were used as template for primer design. 664 primer pairs could be successfully identified and a subset of 206 pairs of primers was synthesized, PCR-tested and visualized on ethidium bromide stained agarose gels. The main objective was to further assess the potential of EST-SSRs as informative markers and investigate their cross-species amplification in sixteen teleost fish species: seven sparid species and nine other species from different families. Approximately 78% of the primer pairs gave PCR products of expected size in gilthead sea bream, and as expected, the rate of successful amplification of sea bream EST-SSRs was higher in sparids, lower in other perciforms and even lower in species of the Clupeiform and Gadiform orders. We finally determined the polymorphism and the heterozygosity of 63 markers in a wild gilthead sea bream population; fifty-eight loci were found to be polymorphic with the expected heterozygosity and the number of alleles ranging from 0.089 to 0.946 and from 2 to 27, respectively. These tools and markers are expected to enhance the available genetic linkage map in gilthead sea bream, to assist comparative mapping and genome analyses for this species and further with other model fish species and finally to help advance genetic analysis for cultivated and wild populations and accelerate breeding programs.