Health in archaeological populations needs to be investigated using a holistic approach. Molecular techniques, particularly multiplex PCR, can be used with paleopathology and dietary analysis to understand aspects of population health. This thesis demonstrates how spina bifida, a multi-factorial disease, can be investigated using this paleoepidemiological approach. Based on skeletal evidence, spina bifida was present in a pre-Columbian Cuban population from the archaeological site of Canimar Abajo. Molecular techniques were employed to examine disease potential, examining individuals for five single nucleotide polymorphisms associated with spina bifida. It is postulated that the combined effect of these polymorphisms, as well as dietary factors, determines the risk of the population for spina bifida, and that these factors came together to create the observed high disease prevalence. Therefore, this thesis demonstrates how the methods of molecular paleopathology, corroborated by dietary analyses, can be used within a paleoepidemiological framework to understand population health and disease.

Health in archaeological populations needs to be investigated using a holistic approach. Molecular techniques, particularly multiplex PCR, can be used with paleopathology and dietary analysis to understand aspects of population health. This thesis demonstrates how spina bifida, a multi-factorial disease, can be investigated using this paleoepidemiological approach. Based on skeletal evidence, spina bifida was present in a pre-Columbian Cuban population from the archaeological site of Canimar Abajo. Molecular techniques were employed to examine disease potential, examining individuals for five single nucleotide polymorphisms associated with spina bifida. It is postulated that the combined effect of these polymorphisms, as well as dietary factors, determines the risk of the population for spina bifida, and that these factors came together to create the observed high disease prevalence. Therefore, this thesis demonstrates how the methods of molecular paleopathology, corroborated by dietary analyses, can be used within a paleoepidemiological framework to understand population health and disease.

Arsenic contamination of the environment is a worldwide health hazard. This research project focused on four areas: development and testing of low cost, field portable devices capable of measuring levels of arsenic at 10 μg L-1 or less; specific chemical techniques for such testing; creation of educational tools and techniques to allow operators who lack advanced chemistry training to perform accurate testing; and the determination and use of a biomarker in DNA as a cancer predictor in individuals exposed to environmental arsenic. The analytical techniques explored include: (1) the Gutzeit method of arsenic determination though arsine gas production, which was investigated in three experiments: measuring arsenic levels in soil samples, using Gutzeit-based kits using silver nitrate as a reactant for arsine gas, and sensitivity comparison of three commercial test kits over varying time periods up to twenty-four hours. (2) The molybdenum blue method, technologically quantified through three different experiments: digital photographic analysis, spectroscopic analysis, and flow injection. (3) Filtration of arsenic contaminated water with wood-ash, sand, ferric oxide, and commercially available steel wool; and the construction of a filtering device constructed of recyclable discarded soda bottles. Further, single nucleotide polymorphisms in the DNA of arsenic exposed individuals were studied to determine what immune response genes might be implicated in arsenic susceptibility. The major conclusions of this research were: digital image analysis used with the Gutzeit method improves precision and accuracy; silver nitrate proved to be a better measurement tool at low concentrations of arsenic than mercuric bromide; and the Gutzeit method can be applied to soils in the Hach kit.

O gênero Yersinia pertence à família Enterobacteriaceae e compreende 17 espécies. Y. pestis, Y. pseudotuberculosis e Y. enterocolitica são reconhecidamente patógenos de humanos e animais. Y. pestis cause a peste. Y. pseudotuberculosis e Y. enterocolitica são agentes causadores, sobretudo, de gastroenterites transmitidas por água e alimentos. As demais 14 espécies são, usualmente, consideradas não-patogênicas, com exceção de Y. ruckeri sorogrupo O:1 que causa infecções em peixes. Nas últimas décadas, a tipagem molecular tornou-se uma importante ferramenta nos estudos filogenéticos de numerosos micro-organismos e o desenvolvimento de sistemas de tipagem rápidos e baratos pode facilitar os estudos epidemiológicos de infecções bacterianas. No presente estudo objetivou-se desenvolver um método de genotipagem de Yersinia spp. baseado em high-resolution melting analysis (HRMA) para diferenciar os single-nucleotide polymorphisms (SNPs) presentes nas sequências dos genes 16S rRNA, glnA, gyrB, hsp60 e recA e aplicá-lo na tipagem de 40 linhagens de Y. pseudotuberculosis e 50 linhagens de Y. enterocolitica, bem como separar por HRMA as espécies Y. pseudotuberculosis e Y. enterocolitica. Os SNPs foram determinados nas sequências dos loci acima citados a partir de um conjunto de 119 linhagens de Yersinia spp. depositadas no GenBank/EMBL/DDBJ. Foram encontrados nas sequências dos genes analisados de Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri 10, 10, 9, 6, 4, 1 e 1 SNPs, respectivamente. Nenhum SNP foi encontrado nas sequências analisadas de Y. pestis e um grande número de SNPs foi encontrado nas sequências analisadas de Y. frederiksenii, Y. kristensenii e Y. massiliensis, o que impossibilitou a genotipagem dessas espécies por HRMA. As demais espécies não foram analisadas. Foram desenhados pares de primers para flanquear os SNPs encontrados em cada espécie de Yersinia testada. Usando um conjunto de primers espécie-específicos, a diversidade genética de cada espécie de Yersinia foi determinada por HRMA e a análise filogenética foi baseada na sequência concatenada composta pelos nucleotídeos identificados em cada fragmento analisado. O agrupamento foi realizado com o software BioNumerics usando o método UPGMA com 1.000 replicatas de bootstrap. A árvore filogenética ii construída para Y. pseudotuberculosis agrupou as linhagens em clusters bio-sorogrupo específicos. As linhagens do bio-sorogrupo 1/O:1 foram agrupadas em um cluster e as linhagens do bio-sorogrupo 2/O:3 em outro. A árvore filogenética construída para Y. enterocolitica agrupou as linhagens em três grupos. As linhagens altamente patogênicas, do biotipo 1B, foram agrupadas em um cluster, as linhagens de média patogenicidade, dos biotipos 2, 3, 4 e 5, foram agrupadas em um segundo cluster e as linhagens consideradas nãopatogênicas, do biotipo 1A, foram agrupadas em um terceiro cluster. O agrupamento encontrado em Y. pseudotuberculosis e Y. enterocolitica foi consistente com o perfil patogênico característico dessas duas espécies. Nenhuma correlação epidemiológica significativa foi encontrada no agrupamento de Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri de acordo com os resultados de HRMA. Ademais, o método de HRMA aqui desenvolvido foi capaz de separar as espécies Y. pseudotuberculosis e Y. enterocolitica. O método de HRMA desenvolvido nesse estudo pode ser usado como uma alternativa para a genotipagem e para a diferenciação de Y. pseudotuberculosis de Y. enterocolitica. Esse método também pode complementar os métodos baseados em sequências e facilitar os estudos epidemiológicos dessas duas espécies de Yersinia. / The genus Yersinia belongs to the family Enterobacteriaceae and comprises 17 species. Y. pestis, Y. pseudotuberculosis and Y. enterocolitica are well recognized human and animal pathogens. Y. pestis causes plague. Y. pseudotuberculosis and Y. enterocolitica are, usually, causative agents of food-waterborne gastroenteritis. The other 14 Yersinia species are considered to be non-pathogenic, with the exception of Y. ruckeri serogroup O:1 which causes infections in fishes. In the last few decades, molecular typing has become an important tool in phylogenetic studies of several microorganisms and the development of fast and inexpensive typing systems can facilitate epidemiological studies of bacterial infections. The present study aimed to develop a method of Yersinia spp. genotyping based on high-resolution melting analysis (HRMA) in order to differentiate the single-nucleotide polymorphisms (SNPs) present in the 16S rRNA, glnA, gyrB, hsp60 and recA sequences and apply it in the typing of 40 Y. pseudotuberculosis strains and 50 Y. enterocolitica strains, as well as, to separate by HRMA the Y. pseudotuberculosis and Y. enterocolitica species. The SNPs were determined in the sequences of the aforementioned loci using a set of 119 Yersinia strains deposited in the GenBank/EMBL/DDBJ database. It were found in the gene sequences analyzed of Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii and Y. ruckeri 10, 10, 9, 6, 4, 1 and 1 SNPs, respectively. No SNPs was found in the analyzed sequences of Y. pestis and a large number of SNPs were found in the analyzed sequences of Y. frederiksenii, Y. kristensenii and Y. massiliensis what prevented their genotyping by HRMA. The remaining Yersinia species were not analyzed. It was designed primer pairs to flank the SNPs found in each Yersinia species tested. Using a specie-specific set of primers, the genetic diversity of each Yersinia species used was determined by HRMA and the phylogenetic analysis was based on the concatenated sequence composed by the nucleotides identified in each fragment analyzed. Clustering was performed with the software package BioNumerics using UPGMA method and 1,000 bootstrap replicates. The phylogenetic tree constructed for Y. pseudotuberculosis grouped the strains into bio-serogroups specific clusters. The strains of 1/O:1 bio-serogroup were grouped into one cluster and the strains of 2/O:3 bio-serogroup into iv other cluster. The phylogenetic tree constructed for Y. enterocolitica grouped the strains in three clusters. The highly pathogenic strains, of biotype 1B, were grouped into one cluster, the moderate pathogenic strains, of biotypes 2, 3, 4 and 5, were grouped into a second cluster and, the non-pathogenic strains, of biotype 1A, were grouped into a third cluster. The clusterization of Y. pseudotuberculosis and Y. enterocolitica were consistent with the pathogenic profile characteristic of these two Yersinia species. No significant epidemiological correlation was found in the grouping of Y. bercovieri, Y. rohdei, Y. intermedia Y. mollaretii and Y. ruckeri according to HRMA results. Moreover, the HRMA-based method develop here was able to separate the Y. pseudotuberculosis and Y. enterocolitica species. The HRMA assay developed in this study can be used as an alternative for the genotyping and the differentiation of Y. pseudotuberculosis and Y. enterocolitica. This method can also complement sequence-based methods and facilitate epidemiological studies of these two Yersinia species.

A genética forense vem se desenvolvendo cada vez mais, com novas tecnologias e implementação de novos conjuntos de marcadores de DNA com maiores níveis de informatividade. Os marcadores genéticos são amplamente usados na identificação humana, pois permitem distinguir indivíduos com alta acurácia. Duas classes de marcadores muito utilizadas atualmente são os STRs (Short Tandem Repeats) e os SNPs (Single Nucleotide Polymorphisms). Os STRs são altamente informativos e, portanto, úteis para a prática forense. Kits mais novos como GlobalFiler (Thermo Fisher Scientific) e PowerPlex Fusion System (Promega) apresentam a análise de mais de 20 loci STRs de uma só vez. Já os SNPs, por possuírem sua informatividade mais reduzida (necessita de mais loci analisados), são menos utilizados, porém apresentam vantagem em amostras degradadas de DNA; assim, conjuntos de identificação como o 52-plex desenvolvido pelo consórcio SNPforID e o conjunto IISNPs, vêm sendo estudados em várias populações do mundo. Com o desenvolvimento de técnicas de sequenciamento de nova geração (NGS Next Generation Sequencing) para análise de DNA, a obtenção de perfis de DNA se tornou mais acurada. Algumas plataformas permitem gerar perfis de até 96 indivíduos simultaneamente. Este estudo tem por objetivo principal analisar 171 marcadores genéticos (Amelogenina, Y-INDEL, 30 STRSs e 139 SNPs) em 340 indivíduos miscigenados da região da cidade de Ribeirão Preto (SP) utilizando a plataforma de sequenciamento de nova geração MiSeq Personal Sequencer (Illumina Inc.), bem como calcular as frequências alélicas e genotípicas, verificar a aderência ao equilíbrio de HardyWeinberg e estimar parâmetros forenses para os diferentes conjuntos de marcadores. Análises de ancestralidade foram realizadas para os conjuntos de SNPs. Para o preparo das bibliotecas de amostras a serem sequenciadas, foi utilizado o kit HaloPlex (Agilent Technologies, Inc), onde foram incluídos os marcadores dos kits GlobalFiler e PowerPlex Fusion System, e os SNPs existentes no conjunto do consórcio SNPforID (52-plex) e IISNPs (92 SNPs). De todos os marcadores incluídos no ensaio, apenas um SNP (rs763869) presente no conjunto SNPforID não pôde ser analisado devido a questões técnicas. Dos 139 SNPs analisados apenas seis apresentaram desvios significativos em relação ao equilíbrio de Hardy-Weinberg,número este esperado devido ao acaso. Os conjuntos de SNPs apresentam elevada informatividade com Probabilidade de Match de 6,48 x 10-21 (52-plex) a 4,91 x 10-38 (IISNP), e Poder de Exclusão de 0,9997 (52-plex) e 0,99999997 (IISNP). De modo geral, as inferências de ancestralidade obtida utilizando estes conjuntos, indicaram elevada contribuição europeia (superior a 70%) e baixa contribuição ameríndia (inferior a 10%) na população, enquanto que as análises de mistura individual se mostraram consistentes, com a maioria dos indivíduos apresentando elevada ancestralidade europeia. Os resultados dos marcadores relativos ao sexo (Amelogenina, Y-INDEL e DYS391) foram consistentes com o sexo dos doadores das amostras. As frequências alélicas e parâmetros forenses foram calculados para os STRs, revelando uma alta informatividade. A Probabilidade de Match combinada e o Poder de Exclusão combinado foram de 1,19 x 10-36 e 0,999999999997 respectivamente. Dos 29 STRs autossômicos presentes, seis apresentaram desvios ao equilíbrio de Hardy-Weinberg, refletindo possíveis falhas no sequenciamento e genotipagem destes marcadores / The field of forensic genetics has developed increasingly with the implementation of new sets of DNA markers with higher levels of informativeness. The genetic markers are widely used in human identification as they allow distinguishing individuals with high accuracy. Two of the most commonly used markers are the Short Tandem Repeats (STRs) and the Single Nucleotide Polymorphisms (SNPs). Newer kits such as GlobalFiler (Thermo Fisher Scientific) and PowerPlex Fusion System (Promega) can analyze more than 20 STRs loci at once. When comparing with STRs, the SNPs are less informative and many more loci are needed to reach the same informativeness of STR kits. However, they are advantageous when using degraded DNA samples. The identification sets such as the 52-plex developed by the SNPforID Consortium and the IISNPs have been analyzed in many worldwide populations. With the development of next generation sequencing techniques (NGS Next Generation Sequencing), obtaining DNA profiles has become more accurate and some platforms allow generating profiles of up to 96 individuals simultaneously. The main goal of this study is to analyze 171 markers (Amelogenin, Y-INDEL, 30 STRs and 139 SNPs) in 340 admixed individuals from Ribeirão Preto, SP, using the NGS platform MiSeq Personal Sequencer (Illumina Inc.). This will allow the calculation of allele and genotype frequencies, the verification of adherence to Hardy-Weinbergs equilibrium and the estimation of forensic parameters for each set of marker. Ancestry analysis was performed for the sets of SNPs. The HaloPlex kit (Agilent Technologies, Inc) was used for library preparation including the STRs from the kits GlobalFiler and PowerPlex Fusion System and the SNPs from the SNPforID consortium (52-plex) and IISNPs (92 SNPs) identification sets. A single SNP (rs763869) from the SNPforID set was not analyzed due to technical issues. Only six of the 139 analyzed SNPs presented significant deviation from the Hardy-Weinberg equilibrium expectations, which is expected by chance alone. The SNPs sets exhibited high informativeness, with matchprobability ranging from 6.48 x 10-21 (52-plex) to 4.91 x 10-38 (IISNPs) and exclusion power of 0.9997 (52-plex) and 0.99999997 (IISNPs). In general, ancestry estimates obtained using these sets indicated a high European contribution (higher than 70%) and low Amerindian contribution (less than 10%) in the population sample, while the individual admixture analyses exhibited were highly consistent, with the majority of individuals presenting high European ancestry. The results of the sex markers (Amelogenin, Y-INDEL and DYS391) were in agreement with the reported sexes from sample donors. The allele frequencies and forensic parameters calculated for the STRs revealed high informativeness. The combined match probability and the combined exclusion power were 1.19 x 10-36 and 0.999999999997 respectively. Six of the 29 autosomal STRs presented significant deviations from the HardyWeinberg equilibrium expectations, reflecting possible failures in sequencing and genotyping of these markers

A genética forense vem se desenvolvendo cada vez mais, com novas tecnologias e implementação de novos conjuntos de marcadores de DNA com maiores níveis de informatividade. Os marcadores genéticos são amplamente usados na identificação humana, pois permitem distinguir indivíduos com alta acurácia. Duas classes de marcadores muito utilizadas atualmente são os STRs (Short Tandem Repeats) e os SNPs (Single Nucleotide Polymorphisms). Os STRs são altamente informativos e, portanto, úteis para a prática forense. Kits mais novos como GlobalFiler (Thermo Fisher Scientific) e PowerPlex Fusion System (Promega) apresentam a análise de mais de 20 loci STRs de uma só vez. Já os SNPs, por possuírem sua informatividade mais reduzida (necessita de mais loci analisados), são menos utilizados, porém apresentam vantagem em amostras degradadas de DNA; assim, conjuntos de identificação como o 52-plex desenvolvido pelo consórcio SNPforID e o conjunto IISNPs, vêm sendo estudados em várias populações do mundo. Com o desenvolvimento de técnicas de sequenciamento de nova geração (NGS Next Generation Sequencing) para análise de DNA, a obtenção de perfis de DNA se tornou mais acurada. Algumas plataformas permitem gerar perfis de até 96 indivíduos simultaneamente. Este estudo tem por objetivo principal analisar 171 marcadores genéticos (Amelogenina, Y-INDEL, 30 STRSs e 139 SNPs) em 340 indivíduos miscigenados da região da cidade de Ribeirão Preto (SP) utilizando a plataforma de sequenciamento de nova geração MiSeq Personal Sequencer (Illumina Inc.), bem como calcular as frequências alélicas e genotípicas, verificar a aderência ao equilíbrio de HardyWeinberg e estimar parâmetros forenses para os diferentes conjuntos de marcadores. Análises de ancestralidade foram realizadas para os conjuntos de SNPs. Para o preparo das bibliotecas de amostras a serem sequenciadas, foi utilizado o kit HaloPlex (Agilent Technologies, Inc), onde foram incluídos os marcadores dos kits GlobalFiler e PowerPlex Fusion System, e os SNPs existentes no conjunto do consórcio SNPforID (52-plex) e IISNPs (92 SNPs). De todos os marcadores incluídos no ensaio, apenas um SNP (rs763869) presente no conjunto SNPforID não pôde ser analisado devido a questões técnicas. Dos 139 SNPs analisados apenas seis apresentaram desvios significativos em relação ao equilíbrio de Hardy-Weinberg,número este esperado devido ao acaso. Os conjuntos de SNPs apresentam elevada informatividade com Probabilidade de Match de 6,48 x 10-21 (52-plex) a 4,91 x 10-38 (IISNP), e Poder de Exclusão de 0,9997 (52-plex) e 0,99999997 (IISNP). De modo geral, as inferências de ancestralidade obtida utilizando estes conjuntos, indicaram elevada contribuição europeia (superior a 70%) e baixa contribuição ameríndia (inferior a 10%) na população, enquanto que as análises de mistura individual se mostraram consistentes, com a maioria dos indivíduos apresentando elevada ancestralidade europeia. Os resultados dos marcadores relativos ao sexo (Amelogenina, Y-INDEL e DYS391) foram consistentes com o sexo dos doadores das amostras. As frequências alélicas e parâmetros forenses foram calculados para os STRs, revelando uma alta informatividade. A Probabilidade de Match combinada e o Poder de Exclusão combinado foram de 1,19 x 10-36 e 0,999999999997 respectivamente. Dos 29 STRs autossômicos presentes, seis apresentaram desvios ao equilíbrio de Hardy-Weinberg, refletindo possíveis falhas no sequenciamento e genotipagem destes marcadores / The field of forensic genetics has developed increasingly with the implementation of new sets of DNA markers with higher levels of informativeness. The genetic markers are widely used in human identification as they allow distinguishing individuals with high accuracy. Two of the most commonly used markers are the Short Tandem Repeats (STRs) and the Single Nucleotide Polymorphisms (SNPs). Newer kits such as GlobalFiler (Thermo Fisher Scientific) and PowerPlex Fusion System (Promega) can analyze more than 20 STRs loci at once. When comparing with STRs, the SNPs are less informative and many more loci are needed to reach the same informativeness of STR kits. However, they are advantageous when using degraded DNA samples. The identification sets such as the 52-plex developed by the SNPforID Consortium and the IISNPs have been analyzed in many worldwide populations. With the development of next generation sequencing techniques (NGS Next Generation Sequencing), obtaining DNA profiles has become more accurate and some platforms allow generating profiles of up to 96 individuals simultaneously. The main goal of this study is to analyze 171 markers (Amelogenin, Y-INDEL, 30 STRs and 139 SNPs) in 340 admixed individuals from Ribeirão Preto, SP, using the NGS platform MiSeq Personal Sequencer (Illumina Inc.). This will allow the calculation of allele and genotype frequencies, the verification of adherence to Hardy-Weinbergs equilibrium and the estimation of forensic parameters for each set of marker. Ancestry analysis was performed for the sets of SNPs. The HaloPlex kit (Agilent Technologies, Inc) was used for library preparation including the STRs from the kits GlobalFiler and PowerPlex Fusion System and the SNPs from the SNPforID consortium (52-plex) and IISNPs (92 SNPs) identification sets. A single SNP (rs763869) from the SNPforID set was not analyzed due to technical issues. Only six of the 139 analyzed SNPs presented significant deviation from the Hardy-Weinberg equilibrium expectations, which is expected by chance alone. The SNPs sets exhibited high informativeness, with matchprobability ranging from 6.48 x 10-21 (52-plex) to 4.91 x 10-38 (IISNPs) and exclusion power of 0.9997 (52-plex) and 0.99999997 (IISNPs). In general, ancestry estimates obtained using these sets indicated a high European contribution (higher than 70%) and low Amerindian contribution (less than 10%) in the population sample, while the individual admixture analyses exhibited were highly consistent, with the majority of individuals presenting high European ancestry. The results of the sex markers (Amelogenin, Y-INDEL and DYS391) were in agreement with the reported sexes from sample donors. The allele frequencies and forensic parameters calculated for the STRs revealed high informativeness. The combined match probability and the combined exclusion power were 1.19 x 10-36 and 0.999999999997 respectively. Six of the 29 autosomal STRs presented significant deviations from the HardyWeinberg equilibrium expectations, reflecting possible failures in sequencing and genotyping of these markers

O gênero Yersinia pertence à família Enterobacteriaceae e compreende 17 espécies. Y. pestis, Y. pseudotuberculosis e Y. enterocolitica são reconhecidamente patógenos de humanos e animais. Y. pestis cause a peste. Y. pseudotuberculosis e Y. enterocolitica são agentes causadores, sobretudo, de gastroenterites transmitidas por água e alimentos. As demais 14 espécies são, usualmente, consideradas não-patogênicas, com exceção de Y. ruckeri sorogrupo O:1 que causa infecções em peixes. Nas últimas décadas, a tipagem molecular tornou-se uma importante ferramenta nos estudos filogenéticos de numerosos micro-organismos e o desenvolvimento de sistemas de tipagem rápidos e baratos pode facilitar os estudos epidemiológicos de infecções bacterianas. No presente estudo objetivou-se desenvolver um método de genotipagem de Yersinia spp. baseado em high-resolution melting analysis (HRMA) para diferenciar os single-nucleotide polymorphisms (SNPs) presentes nas sequências dos genes 16S rRNA, glnA, gyrB, hsp60 e recA e aplicá-lo na tipagem de 40 linhagens de Y. pseudotuberculosis e 50 linhagens de Y. enterocolitica, bem como separar por HRMA as espécies Y. pseudotuberculosis e Y. enterocolitica. Os SNPs foram determinados nas sequências dos loci acima citados a partir de um conjunto de 119 linhagens de Yersinia spp. depositadas no GenBank/EMBL/DDBJ. Foram encontrados nas sequências dos genes analisados de Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri 10, 10, 9, 6, 4, 1 e 1 SNPs, respectivamente. Nenhum SNP foi encontrado nas sequências analisadas de Y. pestis e um grande número de SNPs foi encontrado nas sequências analisadas de Y. frederiksenii, Y. kristensenii e Y. massiliensis, o que impossibilitou a genotipagem dessas espécies por HRMA. As demais espécies não foram analisadas. Foram desenhados pares de primers para flanquear os SNPs encontrados em cada espécie de Yersinia testada. Usando um conjunto de primers espécie-específicos, a diversidade genética de cada espécie de Yersinia foi determinada por HRMA e a análise filogenética foi baseada na sequência concatenada composta pelos nucleotídeos identificados em cada fragmento analisado. O agrupamento foi realizado com o software BioNumerics usando o método UPGMA com 1.000 replicatas de bootstrap. A árvore filogenética ii construída para Y. pseudotuberculosis agrupou as linhagens em clusters bio-sorogrupo específicos. As linhagens do bio-sorogrupo 1/O:1 foram agrupadas em um cluster e as linhagens do bio-sorogrupo 2/O:3 em outro. A árvore filogenética construída para Y. enterocolitica agrupou as linhagens em três grupos. As linhagens altamente patogênicas, do biotipo 1B, foram agrupadas em um cluster, as linhagens de média patogenicidade, dos biotipos 2, 3, 4 e 5, foram agrupadas em um segundo cluster e as linhagens consideradas nãopatogênicas, do biotipo 1A, foram agrupadas em um terceiro cluster. O agrupamento encontrado em Y. pseudotuberculosis e Y. enterocolitica foi consistente com o perfil patogênico característico dessas duas espécies. Nenhuma correlação epidemiológica significativa foi encontrada no agrupamento de Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri de acordo com os resultados de HRMA. Ademais, o método de HRMA aqui desenvolvido foi capaz de separar as espécies Y. pseudotuberculosis e Y. enterocolitica. O método de HRMA desenvolvido nesse estudo pode ser usado como uma alternativa para a genotipagem e para a diferenciação de Y. pseudotuberculosis de Y. enterocolitica. Esse método também pode complementar os métodos baseados em sequências e facilitar os estudos epidemiológicos dessas duas espécies de Yersinia. / The genus Yersinia belongs to the family Enterobacteriaceae and comprises 17 species. Y. pestis, Y. pseudotuberculosis and Y. enterocolitica are well recognized human and animal pathogens. Y. pestis causes plague. Y. pseudotuberculosis and Y. enterocolitica are, usually, causative agents of food-waterborne gastroenteritis. The other 14 Yersinia species are considered to be non-pathogenic, with the exception of Y. ruckeri serogroup O:1 which causes infections in fishes. In the last few decades, molecular typing has become an important tool in phylogenetic studies of several microorganisms and the development of fast and inexpensive typing systems can facilitate epidemiological studies of bacterial infections. The present study aimed to develop a method of Yersinia spp. genotyping based on high-resolution melting analysis (HRMA) in order to differentiate the single-nucleotide polymorphisms (SNPs) present in the 16S rRNA, glnA, gyrB, hsp60 and recA sequences and apply it in the typing of 40 Y. pseudotuberculosis strains and 50 Y. enterocolitica strains, as well as, to separate by HRMA the Y. pseudotuberculosis and Y. enterocolitica species. The SNPs were determined in the sequences of the aforementioned loci using a set of 119 Yersinia strains deposited in the GenBank/EMBL/DDBJ database. It were found in the gene sequences analyzed of Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii and Y. ruckeri 10, 10, 9, 6, 4, 1 and 1 SNPs, respectively. No SNPs was found in the analyzed sequences of Y. pestis and a large number of SNPs were found in the analyzed sequences of Y. frederiksenii, Y. kristensenii and Y. massiliensis what prevented their genotyping by HRMA. The remaining Yersinia species were not analyzed. It was designed primer pairs to flank the SNPs found in each Yersinia species tested. Using a specie-specific set of primers, the genetic diversity of each Yersinia species used was determined by HRMA and the phylogenetic analysis was based on the concatenated sequence composed by the nucleotides identified in each fragment analyzed. Clustering was performed with the software package BioNumerics using UPGMA method and 1,000 bootstrap replicates. The phylogenetic tree constructed for Y. pseudotuberculosis grouped the strains into bio-serogroups specific clusters. The strains of 1/O:1 bio-serogroup were grouped into one cluster and the strains of 2/O:3 bio-serogroup into iv other cluster. The phylogenetic tree constructed for Y. enterocolitica grouped the strains in three clusters. The highly pathogenic strains, of biotype 1B, were grouped into one cluster, the moderate pathogenic strains, of biotypes 2, 3, 4 and 5, were grouped into a second cluster and, the non-pathogenic strains, of biotype 1A, were grouped into a third cluster. The clusterization of Y. pseudotuberculosis and Y. enterocolitica were consistent with the pathogenic profile characteristic of these two Yersinia species. No significant epidemiological correlation was found in the grouping of Y. bercovieri, Y. rohdei, Y. intermedia Y. mollaretii and Y. ruckeri according to HRMA results. Moreover, the HRMA-based method develop here was able to separate the Y. pseudotuberculosis and Y. enterocolitica species. The HRMA assay developed in this study can be used as an alternative for the genotyping and the differentiation of Y. pseudotuberculosis and Y. enterocolitica. This method can also complement sequence-based methods and facilitate epidemiological studies of these two Yersinia species.

This work has explored the capability of a mixed film composed of oligonucleotides and oligomers to improve the selectivity for the detection of fully complementary oligonucleotide targets in comparison to partially complementary targets which have one and three base-pair mismatched sites. The intention was to introduce a “matrix isolation” effect on oligonucleotide probe molecules by surrounding the probes with oligomers, thereby reducing oligonucleotide-to-oligonucleotide and/or oligonucleotide-to-surface interactions. This resulted in a more homogeneous environment for probes, thereby minimizing the dispersity of energetics associated with formation of double-stranded hybrids. The mixed film was constructed by immobilizing pre-synthesized oligonucleotides onto a mixed aminosilane layer and then growing the oligomer portion by surface-initiated atom transfer radical polymerization (ATRP) of 2-hydroxy methacrylate (PHEMA). The performance of the mixed film was compared to films composed of only oligonucleotides in a series of hybridization and melt curve experiments. Surface characterization techniques were used to confirm the growth of the oligomer portion as well as the presence of both oligonucleotides and oligomer components. Polyatomic bismuth cluster ions as sources for time-of-flight secondary ion mass spectrometry experiments could detect both components of the mixed film at a high sensitivity even though the oligomer portion was at least 200-fold in excess. At the various ionic strengths investigated, the mixed films were found to increase the selectivity for fully complementary targets over mismatched targets by increasing the sharpness of melt curves and melting temperature differences (delta Tm) by 2- to 3-fold, and by reducing non-specific adsorption. This resulted in improved resolution between the melt curves of fully and partially complementary targets. A fluorescence lifetime investigation of the Cy3 emission demonstrated that Cy3-labeled oligonucleotide probes experienced a more rigid microenvironment in the mixed films. These experiments demonstrated that a mixed film composed of oligonucleotides and PHEMA can be prepared on silica-based substrates, and that they can improve the selectivity for SNP discrimination compared to conventional oligonucleotide films.

Skeletal muscles in broilers are generally characterised by pathological muscle damage, indicated by greater plasma creatine kinase (CK) activity, higher incidence of haemorrhages, lighter and less coloured breast muscles, compared with layers and traditional breeds of chicken. Muscle damage is further exacerbated by exposure to stressful conditions such as high ambient temperatures which results in a further decrease in the quality of broiler meat and leads to the production of pale, soft and exudative (PSE) meat. This growing incidence of poor quality poultry meat is causing substantial losses to the meat industry. However, in contrast to pork the genetics of poor muscle and meat quality in chicken is unknown. The present project was conducted to identify the underlying genetics of this low quality meat by using heat-stress as a tool to amplify muscle damage and expression of the relevant genes. Whole-genome expression studies in broiler and layer breast muscles were conducted before and after heat-stress and some phenotypic data were also recorded. From the gene expression studies, 2213 differentially expressed genes (P<0.05) were found. About 700 of these genes had no gene ontology (GO) terms associated with them for biological process or function. The significant gene set was analysed in BioLayout Express and interesting clusters of the genes, based on their positive correlation with each other, were selected for further investigation. Genes were grouped together in 6 different categories or clusters, on the basis of their expression pattern. The genes in the selected clusters were analysed in Ingenuity Pathway Analysis (IPA) software, for each category separately, and relevant biological pathways and networks for those genes were studied. Similarly, the genes filtered out by BioLayout Express at a Pearson threshold of 0.80 were also analysed in IPA separately and interesting pathways and networks were selected. From the pathways and networks analyses of these genes, it was discovered that genes involved in inflammatory, cell death, oxidative stress and tissue damage related functions were up-regulated in control broilers compared with control and similar to heat-stressed layers. After exposure to heat-stress the expression levels of these genes were further increased in broilers. These results led us to develop the hypothesis that breast muscles in broilers are under stress-related damage even under the normal rearing conditions. This hypothesis was tested by rearing the broilers birds at normal/conventional and comparatively low ambient temperature and its effects on breast muscle quality and meat quality were studied. Significant improvement of breast muscle redness was observed. Additionally substantial numerical improvements for other meat and muscle quality traits like breast muscle lightness and histopathology were observed. From the key positions of interesting significant pathways and networks, candidate genes were selected for further investigation. In total, 25 candidate genes were selected for SNP genotyping: 19 genes were selected from the interesting pathways and networks and 6 genes were selected on the basis of their GO terms. For each gene 4-5 SNPs were selected, where possible, that were present in exons and promoter regions of the candidate genes. The selected SNPs were genotyped for muscle and meat quality traits in 34 breeds of chicken and significant causative SNPs for each trait including plasma CK activity, pHi and pHu for breast muscles, colour (L*, a*, and b*) traits for breast and thigh muscles were found. These SNPs were responsible for explaining a moderate to high (15-55%) percentage of phenotypic variance for these traits. To our knowledge this is the first study in which gene-expression in chicken breast muscle was conducted in response to heat-stress and additionally, for the first time, a set of novel SNPs for all of these traits were identified. Some of the significant causative SNPs were lying in the protein coding sequences and some were present in the promoter regions of the candidate genes.

This thesis addresses the dissection and characterisation of quantitative trait loci (QTL) affecting production traits in sheep. Firstly, the association between specific genetic polymorphisms and complex variation in weight, muscle and fat depositions was investigated. Research concentrated on assessing the presence, correspondence and significance of two single nucleotide polymorphisms (SNPs) in the GDF8 region of ovine chromosome 2, reportedly affecting muscle production. Commercial populations of British Texel, Suffolk and Charollais sheep were studied. The SNPs were absent in Suffolk and almost fixed in Texel breeds. In the Charollais population, the SNPs segregated at intermediate frequencies and a significant association was found between these polymorphisms and muscle depth. The previously proposed causative allele at one of the loci resulted in increased muscle depth and, at allele frequency of 0.5, this locus would explain one third of the additive genetic variance for the trait. Partial recessive allelic expression is proposed by genotypic value predictions and is consistent with the previously postulated molecular mechanism by which it gives rise to muscle changes. Secondly, the thesis focused on detection of QTL associated with growth. Live weight is a composite of growth rates over time, with inter-age genetic correlations for live weight decreasing as time between weight measurements increases. To explore whether observed genetic correlation patterns translate into distinct loci acting on weight at different growth stages, a novel method was developed and the applicability of a second proposed method was explored. Both methods allowed simultaneous analysis of multiple live weights per animal, while accounting differently for the correlation among measurements ordered in time. In the first approach, a growth curve technique was developed and employed to map growth QTL for curve parameters and predicted growth descriptors. A study of actual live weights identified significant QTL at different ages on distinct chromosomes, with QTL significance and variance changing over time. Further application of this technique on a simulated dataset validated its effectiveness in detecting age-dependent QTL. An extension of the procedure resulted in a novel technique for genomic evaluation of longitudinal traits. In the second method examined, random regression (RR) models were applied for dissection of growth QTL. Systematic model selection and inclusion of relevant random effects resulted in apparently significant QTL, but the method was computationally demanding, model choice proved challenging and the results were questioned. To further explore the method, RR models were applied to various simulated growth phenotypes composed of time-dependent QTL trajectories, polygenic and environmental effects. Statistically optimal RR models succeeded in identifying significant QTL and predicting the simulated time-dependence for most scenarios. However, the issue of model choice was again prominent, as suboptimal models resulted in unreliable QTL variance trajectories and pronounced confounding between different time-dependent effects. Thus, the growth curve approach appeared to be the more flexible and robust process for analysing longitudinal data to map agedependent QTL.