Στην εργασία αυτή μελετήθηκε η γενετική δομή και οι φυλογενετικές σχέσεις μεταξύ έξι πληθυσμών της Atherina boyeri που προέρχονταν από τις περιοχές της Μυτιλήνης, της Νισύρου, της Κάσου, της Κύμης, και των λιμνών της Βιστωνίδας και Iznik (στην Τουρκία). Συγκεκριμένα, έγινε μελέτη των περιοριστικών θραυσμάτων ποικίλου μήκους (RFLP analysis) των τμημάτων 12S rRNA, 16S rRNA και του βρόγχου εκτόπισης (D-loop) του μιτοχονδριακού DNA. Τα αποτελέσματα αυτά συνδυάστηκαν με τα αποτελέσματα άλλων μελετών που αφορούσαν εννέα διαφορετικές περιοχές της Ελλάδας (Κάλυμνο, Κεφαλλονιά, Αμβρακικός, Κως, Λήμνος, Εύβοια, Ζάκυνθος, Λευκάδα και Κουρνά-Κρήτη) και είχαν γίνει στο εργαστήριο. Από την RFLP ανάλυση αποκαλύφθηκαν 23 διαφορετικοί σύνθετοι απλότυποι. Βάσει των αποτελεσμάτων γίνεται σαφής διαχωρισμός μεταξύ «λιμναίου» και «θαλάσσιου» τύπου πληθυσμών. Οι πληθυσμοί από τις λίμνες/λιμνοθάλασσες (Βιστωνίδα, Κουρνά, Κούταβος/Κεφαλλονιά, Αμβρακικός, Iznik/Τουρκία ), καθώς και από περιοχές που επικρατούν παρόμοιες συνθήκες (Κύμη, Βαθύ Καλύμνου), έχουν τους απλότυπους 1-6, ενώ οι «θαλάσσιου» τύπου πληθυσμοί (Κως, Λήμνος, Εύβοια, Μυτιλήνη, Νίσυρος, Κάσος, Ζάκυνθος, Λευκάδα) έχουν τους απλότυπους 7-23. Διαπιστώθηκε επίσης η ύπαρξη πέντε διαγνωστικών προτύπων μεταξύ «λιμναίων» και «θαλάσσιων» πληθυσμών. Επιπλέον, παρατηρήθηκε η ύπαρξη ενός διαγνωστικού προτύπου για τους πληθυσμούς από την Κω, τη Λήμνο και τη Νίσυρο, βάσει του οποίου μπορούμε να διαχωρίσουμε τους πληθυσμούς αυτούς από τους υπόλοιπους θαλάσσιους πληθυσμούς που μελετήθηκαν, καθώς και ένα διαγνωστικό πρότυπο βάσει του οποίου μπορούμε να διακρίνουμε τον πληθυσμό της Νισύρου από τους υπόλοιπους επτά πληθυσμούς «θαλάσσιου» τύπου. Με βάση τα δεδομένα αυτά υπολογίστηκε η καθαρή νουκλεοτιδική απόκλιση μεταξύ των πληθυσμών και βρέθηκε να είναι αρκετά υψηλή σε ορισμένες περιπτώσεις. Τα παραπάνω αποτελέσματα επιβεβαιώνονται και από τα δύο φυλογενετικά δένδρα που κατασκευάστηκαν με τις μεθόδους UPGMA και Μέγιστης Φειδωλότητας. Βάσει της τιμής του Nst (50%) που υπολογίστηκε μόνο η μισή από την ολική γενετική ποικιλότητα που παρατηρήθηκε οφείλεται σε διαφορές ανάμεσα στους πληθυσμούς, ενώ η υπόλοιπη οφείλεται σε ενδοπληθυσμιακές διαφορές. / Τhe genetic differentiation and the phylogenetic relationships of six greek populations of Atherina boyeri were investigated at the mitochondrial level. The samples originated from the marine sites of Lesvos, Nisyros, Kasos, Kymi and the lakes Vistonida and Iznik (Turkey). RFLP analysis of three mtDNA segments (12S rRNA, 16S rRNA and D-loop) amplified by PCR were used. These results were combined with others available in the laboratory, concerning nine more greek populations (Kalymnos, Kefallonia, Amvrakikos, Kos, Limnos, Evvoia, Zakynthos, Leukada, Kourna/Crete). Twenty-three composite haplotypes where revealed from the RFLP analysis. There is a clear distinction between “marine” and “lagoon” type populations. In particular, the populations from the lakes/lagoons (Vistonida, Kourna, Kefallonia, Amvrakikos, Iznik), as well as the populations from sites with similar environmental conditions to the lakes/lagoons (Kymi, Kalymnos) have the haplotypes 1-6, while the “marine” type populations (Kos, Limnos, Evvoia, Lesvos, Nisyros, Kasos, Zakynthos, Leukada) have the haplotypes 7-23. Five specific restriction patterns were also revealed, which can be used to distinguish the “marine” from the “lagoon” type populations. Moreover, one diagnostic pattern, with which we can distinguish the populations from Kos, Limnos and Nisyros from the rest “marine” type populations studied, was revealed, as well as it was revealed one diagnostic pattern, with which we can distinguish the population of Nisyros from the rest “marine” type populations. The genetic divergence values estimated among “lagoon” and “marine” type populations were high, with the populations from Evvoia and Kourna to show the greatest divergence (10.450%) and the populations from Amvrakikos and Nisyros the lowest (5.549%). The above results were also confirmed and by the two phylogenetic trees that were conducted using the UPGMA and the Maximum Parsimony methods. The trees consist of two main clades, which contain the “marine” and “lagoon” populations respectively. Our results show that distinct “lagoon” populations (such as from Vistonida and Kourna) have similar genetic structure, a situation that is not true for the “marine” populations, since there are populations with completely different genetic structure. Finally, the Nst value (50%) indicates that half of the overall genetic diversity detected was between populations.

Terminal restriction fragment length polymorphism (T-RFLP) analysis and pyrosequencing were used to characterize the microbiota of the tonsil of the soft palate of 126 unfit and 18 healthy pigs. The T-RFLP analysis method was first optimized for the study of the pig tonsil microbiota and the data compared with culture-based identification of common pig pathogens. Putative identifications of the members of the microbiota revealed that the phyla Firmicutes, Proteobacteria and Bacteroidetes were the most prevalent. A comparison of the T-RFLP analysis results grouped into clusters to clinical conditions revealed paleness, abscess, PRRS virus, and Mycoplasma hyopneumoniae to be significantly associated with cluster membership. T-RFLP analysis was also used to select representative tonsil samples for pyrosequencing. These studies confirmed Actinobacteria, Bacteroidetes, Firmicutes, Fusobacteria, and Proteobacteria to be the core phyla of the microbiota of the tonsil of the soft palate of pigs. / OMAFRA Animal Health Strategic Investment

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The aetiological diagnosis of recessive non-syndromic hearing loss poses a challenge owing to marked heterogeneity and the lack of identifying clinical features. The finding that up to 50% of recessive non-syndromal genetic hearing loss among Caucasians was due to mutations in GJB2, the gene encoding Connexin 26 (Cx26) was a breakthrough, whose value as a diagnostic tool has been limited by the significant variation in the prevalence of deafness genes and loci among population groups. The significant association of the GJB6-D13S1830 deletion among individuals with one mutant GJB2 allele highlighted the need to explore population specific genetic mutations for NSHL. Although data from Sub-Saharan Africa is limited, reported studies found a high prevalence of R143W GJB2 mutation among Ghanaian, the 35delG mutation in 5 out of 139 Sudanese and a low prevalence of GJB2 variations among 385 Kenyan deaf children. The mutation spectrum of Waardenburg Syndrome (WS) in Africans has not been documented. During a visit to a School for the Deaf in the Limpopo Province of South Africa in 1997, it was noted that a high number of students came from Nzhelele sub-district. All had childhood onset hearing loss with no associated anomalies or disorders. The question arose as to whether there was a high-risk area for deafness in the Limpopo Province and what the aetiology of this hearing loss was.The main aim of this study was to investigate the role of GJB2, the GJB6-D13S1830 deletion, and the four common mitochondrial mutations, A1555G, A3243G, A7511C and A7445G, in the African hearing-impaired population of Limpopo province in South Africa, and to identify the mutation spectrum of the deafness genes found. The type and degree of hearing loss in this hearing impaired population would also be assessed. Secondly, this study sought to identify the mutations in a sibling pair with 2 clinical WS and to use the findings in a future study to establish the mutation spectrum of WS in the African population of the Limpopo province and of South Africa in general. The study was designed as a two phase study, in which phase 1 was used for hypothesis formulation and phase 2 was for hypothesis testing. While phase 1 was a descriptive retrospective case study, phase 2 was a combination of sample survey and prospective descriptive case study. In phase 1, demographic data of 361 students in two schools of the deaf in the Limpopo province was analyzed for evidence of areas of high risk populations for deafness in the province. In phase 2, a group of 182 individuals with genetic non-syndromic hearing loss (NSHL) and two siblings with clinical WS from two schools for the Deaf in the Limpopo Province of South Africa were investigated. A thorough clinical examination, audiological evaluation and urinalysis were done. Mutational screening was carried out in all 184 subjects using genomic DNA using single-strand conformation polymorphism (SSCP), multiplex polymerase chain reaction (PCR), and direct sequencing for GJB2, and Restriction Fragment-Length Polymorphism (PCR–RFLP) analysis for GJB6, and SSCP, hetero-duplex analysis, and direct sequencing of the first 8 exons of PAX3 and all of MITF for Waarenburg syndrome. Data analysis was by geographical mapping, frequency tables, tests of association with calculation of odds ratios, and binary logistic regression analysis using STATA and GIS mapping systems. The results indicate that there seem to be areas of genuine populations at risk for hearing loss in the Limpopo province of South Africa, namely Mutale and parts of Makhado and Thulamela municipalities. In Thulamela (NP343) wards 11-15, 26-30 and 31-35, and in Mutale (NP 344) wards 6-10, together accounted for 67 (18%) of participants in phase 1, and 33 (18%) of the participants in phase 2 of the study. Mutale municipality in the Vhembe 3 district gave with a projected prevalence of at least 13.14 deaf children per 100,000 African population attending the local school for the deaf. The observed hearing loss is a genetic, non-syndromic form, which is mainly severe and severe to profound, although without any clear defining configuration or shape. It is a stable, non-progressive and prelingual form of hearing loss, implying that this may be a recessive form of deafness. No identifiable environmental confounding factors or associations were identified. The deafness is not linked the common known auditory gene mutations in GJB2, the GJB6-D13S1830 deletion, or the common mitochondrial mutations A1555G, A3243G, A7511C and A7445G. Severe and profound levels of hearing loss were found in 22.8% and 75% of the cohort respectively, with the majority exhibiting flat (70.1%) or sloping (23.4%) audiograms that were commonly symmetrical (81.5%). However, as indicated, there was no clear pattern in the audiological findings overall. None of the 184 hearing impaired individuals exhibited any of the reported disease causing mutations of GJB2, including 35delG. There was, however, a high prevalence of two variants, the C>T variant at position g.3318-15 and the C>T variant at position g.3318-34, occurring in 21.4% and 46.2% of the deaf cohort respectively. The same variants were found to occur in 35% and 42.6% of a normal hearing control group (n = 63) respectively, indicating that these variations are polymorphisms. In three subjects (1.63% of the cohort), a T>A homozygous variation at position g.3318-6 was detected. Its significance in the causation of NSSNHL is yet to be determined. The GJB6-D13S1830 deletion was not detected in any of the participants. None of the four mitochondrial mutations screened for were found. 4 These results indicate that GJB2 is not a significant deafness gene in the African population of the Limpopo Province of South Africa and that significant genes for non-syndromic recessive hearing loss in this population are yet to be found. The geographical clustering of deafness found in this study, combined with the lack of identifiable common associated clinical features among the subjects of this study (excluding the WS sibling pair), suggests that these subjects have a genetic recessive non-syndromal type of hearing loss. In the context of historical and cultural evidence of consanguinity in this population, a founder effect cannot be ruled out. A rare mutation, R223X, previously identified only once out of 470 WS patients, was identified in the PAX3 gene among the WS sibling pair. A novel silent change GGG>GGT at amino acid 293, was also identified. These identical findings document, for the first time, a molecular defect in WS in an African sibling pair, and confirm WS Type I in this family, which could be found in other WS type I South Africans in the Limpopo Province of South Africa. The current study demonstrated that parents of genetically hearing impaired children in these areas are able to detect hearing loss at an early age, with over 60% suspecting their children’s hearing loss below 6 months of age. A child-centered management model encompassing all the areas relevant to childhood deafness/hearing impairment, which takes into consideration the prevailing logistical and financial constraints of the available healthcare system, is proposed. The implementation of this model requires a paradigm shift from the current fragmented model of service delivery to a cohesive patient-centered approach, based on concrete data from appropriate community based research, in which all the relevant parties communicate and share resources. 5 It would achieve the goals of early detection and intervention, as well as inclusive education for all. The relevant health and education policies are already in place and the posts funded. Equitable implementation of these policies would require appropriate community based research, as well as improved communication and consultation between the various stakeholders to ensure an efficient and affordable quality healthcare service for all hearing impaired South Africans.