Rigorous modeling of the spatial species distributions is critical in biogeography, conservation, resource management, and assessment of climate change. The goal of chapter 2 of this dissertation was to evaluate the potential of using historical samples to develop high-resolution species distribution models (SDMs) of stream fishes of the United States. I explored the spatial transferability and temporal transferability of stream–fish distribution models in chapter 3 and chapter 4 respectively. Chapter 2 showed that the discrimination power of SDMs for 76 non-game fish species depended on data quality, species' rarity, statistical modeling technique, and incorporation of spatial autocorrelation. The area under the Receiver-Operating-Characteristic curve (AUC) in the cross validation tended to be higher in the logistic regression and boosted regression trees (BRT) than the presence-only MaxEnt models. AUC in the cross validation was also higher for species with large geographic ranges and small local populations. Species prevalence affected discrimination power in the model training but not in the validation. In chapter 3, spatial transferability of SDMs was low for over 70% of the 21 species examined. Only 24% of logistic regression, 12% of BRT, and 16% of MaxEnt had AUC > 0.6 in the spatial transfers. Friedman's rank sum test showed that there was no significant difference in the performance of the three modeling techniques. Spatial transferability could be improved by using spatial logistic regression under Lasso regularization in the training of SDMs and by matching the range and location of predictor variables between training and transfer regions. In chapter 4, testing of temporal SDM transfer on independent samples resulted in discrimination power of the moderate to good range, with AUC > 0.6 for 80% of species in all three types of models. Most cool water species had good temporal transferability. However, biases and misspecified spread occurred frequently in the temporal model transfers. To reduce under- or over-estimation bias, I suggest rescaling the predicted probability of species presence to ordinal ranks. To mitigate inappropriate spread of predictions in the climate change scenarios, I recommended to use large training datasets with good coverage of environmental gradients, and fine-tune predictor variables with regularization and cross validation. / Ph. D.

<p>Genetic profiling is commonly performed on the autosomes using multiple DNA markers. Although routine forensic DNA analysis is robust and based on reliable technologies, samples with degraded or limited amounts of DNA often fail. In these cases, the analysis of mitochondrial DNA (mtDNA) can be very valuable due to the high copy number per cell. This thesis describes evaluation and modifications of existing technologies that are useful in forensic DNA typing, mainly focusing on mtDNA.</p><p>DNA quantities isolated from common evidence materials such as hairs, fingerprints and accessories were estimated using a real-time quantification assay. Knowledge of quantitative differences between materials can guide forensic scientists to perform the best analysis (Paper I).</p><p>The current mtDNA analysis is based on hypervariable region (HVI/HVII) sequencing, which is the most rigorous and time-consuming forensic DNA analysis. Therefore, we evaluated the possibility to exclude individuals by screening for non-matching samples using the rapid and easy mtDNA Linear Array Assay (Paper II). </p><p>The major disadvantage using mtDNA is the lower discrimination power compared to multiple nuclear DNA markers. In contrast to the nuclear genome, due to the uniparental (maternal) mode of inheritance, no individual has unique mtDNA. We investigated the possibility of increasing the discrimination power by using pyrosequencing technology to analyse parts of the coding region in addition to HVI/HVII (Paper III). Furthermore, the addition of coding mtDNA information was evaluated by comparing several recently published mtDNA coding region assays (Paper IV). </p><p>Mixtures of DNA are common in forensic genetics due to contribution of DNA from several individuals, contamination or heteroplasmy. To resolve mixtures we have developed a pyrosequencing-based assay for the accurate quantification of the mtDNA mixture components (Paper V).</p><p>In conclusion, this thesis describes several assays that are valuable in forensic genetics for DNA quantification, improved mtDNA analysis, and mtDNA mixture interpretation.</p>

Genetic profiling is commonly performed on the autosomes using multiple DNA markers. Although routine forensic DNA analysis is robust and based on reliable technologies, samples with degraded or limited amounts of DNA often fail. In these cases, the analysis of mitochondrial DNA (mtDNA) can be very valuable due to the high copy number per cell. This thesis describes evaluation and modifications of existing technologies that are useful in forensic DNA typing, mainly focusing on mtDNA. DNA quantities isolated from common evidence materials such as hairs, fingerprints and accessories were estimated using a real-time quantification assay. Knowledge of quantitative differences between materials can guide forensic scientists to perform the best analysis (Paper I). The current mtDNA analysis is based on hypervariable region (HVI/HVII) sequencing, which is the most rigorous and time-consuming forensic DNA analysis. Therefore, we evaluated the possibility to exclude individuals by screening for non-matching samples using the rapid and easy mtDNA Linear Array Assay (Paper II). The major disadvantage using mtDNA is the lower discrimination power compared to multiple nuclear DNA markers. In contrast to the nuclear genome, due to the uniparental (maternal) mode of inheritance, no individual has unique mtDNA. We investigated the possibility of increasing the discrimination power by using pyrosequencing technology to analyse parts of the coding region in addition to HVI/HVII (Paper III). Furthermore, the addition of coding mtDNA information was evaluated by comparing several recently published mtDNA coding region assays (Paper IV). Mixtures of DNA are common in forensic genetics due to contribution of DNA from several individuals, contamination or heteroplasmy. To resolve mixtures we have developed a pyrosequencing-based assay for the accurate quantification of the mtDNA mixture components (Paper V). In conclusion, this thesis describes several assays that are valuable in forensic genetics for DNA quantification, improved mtDNA analysis, and mtDNA mixture interpretation.