2 resultados para Geographic variation

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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The research presented in my PhD thesis is part of a wider European project, FishPopTrace, focused on traceability of fish populations and products. My work was aimed at developing and analyzing novel genetic tools for a widely distributed marine fish species, the European hake (Merluccius merluccius), in order to investigate population genetic structure and explore potential applications to traceability scenarios. A total of 395 SNPs (Single Nucleotide Polymorphisms) were discovered from a massive collection of Expressed Sequence Tags, obtained by high-throughput sequencing, and validated on 19 geographic samples from Atlantic and Mediterranean. Genome-scan approaches were applied to identify polymorphisms on genes potentially under divergent selection (outlier SNPs), showing higher genetic differentiation among populations respect to the average observed across loci. Comparative analysis on population structure were carried out on putative neutral and outlier loci at wide (Atlantic and Mediterranean samples) and regional (samples within each basin) spatial scales, to disentangle the effects of demographic and adaptive evolutionary forces on European hake populations genetic structure. Results demonstrated the potential of outlier loci to unveil fine scale genetic structure, possibly identifying locally adapted populations, despite the weak signal showed from putative neutral SNPs. The application of outlier SNPs within the framework of fishery resources management was also explored. A minimum panel of SNP markers showing maximum discriminatory power was selected and applied to a traceability scenario aiming at identifying the basin (and hence the stock) of origin, Atlantic or Mediterranean, of individual fish. This case study illustrates how molecular analytical technologies have operational potential in real-world contexts, and more specifically, potential to support fisheries control and enforcement and fish and fish product traceability.

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Many factors influence the propensity of young women to seek appropriate maternal healthcare, and they need to be considered when analyzing these women’s reproductive behavior. This study aimed to contribute to the analysis concerning Kenyan young women’s determinants on maternal healthcare-seeking behavior for the 5 years preceding the 2008/9 Kenya Demographic and Health Survey. The specific objectives were to: investigate the individual and contextual variables that may explain maternal healthcare habits; measure the individual, household and community effect on maternal healthcare attitudes in young women; assess the link between young women’s characteristics and the use of facilities for maternal healthcare; find a relationship between young women’s behavior and the community where they live; examine how the role of the local presence of healthcare facilities influences reproductive behavior, and if the specificity of services offered by healthcare facilities affects their inclination to use healthcare facilities, and measure the geographic differences that influence the propensity to seek appropriate maternal healthcare. The analysis of factors associated with maternal healthcare-seeking behavior for young women in Kenya was investigated using multilevel models. We performed three major analyses, which concerned the individual and contextual determinants influencing antenatal care (discussed in Part 6), delivery care (Part 7), and postnatal care (Part 8). Our results show that there is a significant variation in antenatal, delivery and postnatal care between communities, even if the majority of variability is explained by individual characteristics. There are differences at the women’s level on the probability of receiving antenatal care and delivering in a healthcare facility instead of at home. Moreover, community factors and availability of healthcare facilities on the territory are also crucial in influencing young women’s behavior. Therefore, policies addressed to youth’s reproductive health should also consider geographic inequalities and different types of barriers in access to healthcare facilities.