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Full-Text Articles in Life Sciences
Annotation Of Non-Model Species’ Genomes, Taiya Jarva
Annotation Of Non-Model Species’ Genomes, Taiya Jarva
Master's Theses
The innovations in high throughput sequencing technologies in recent decades has allowed unprecedented examination and characterization of the genetic make-up of both model and non-model species, which has led to a surge in the use of genomics in fields which were previously considered unfeasible. These advances have greatly expanded the realm of possibilities in the fields of ecology and conservation. It is now possible to the identification of large cohorts of genetic markers, including single nucleotide polymorphisms (SNPs) and larger structural variants, as well as signatures of selection and local adaptation. Markers can be used to identify species, define population …
Genetic Population Structure And Effective Number Of Breeders In Systems Across The Range Of The Gulf Sturgeon, Jacob Zona
Master's Theses
Gulf sturgeon (Acipenser oxyicnhus desotoi) are a large, anadromous fish belonging to an ancient lineage that diverged as early as 400 MYA. Overfishing for meat and caviar during the early 1900’s reduced their range and abundance and continued habitat destruction and mortality have limited their ability to recover, leading to their listing under the Endangered Species Act. This study uses genetic techniques to determine the effective number of breeders for multiple spawning groups of Gulf sturgeon in river systems across their range to set a baseline for tracking reproductive success of the species. Accompanying genetic information relevant to …
Incorporating Sex Chromosomes In Transcriptome Prediction Models And Improving Cross-Population Prediction Performance, Daniel S. Araujo
Incorporating Sex Chromosomes In Transcriptome Prediction Models And Improving Cross-Population Prediction Performance, Daniel S. Araujo
Master's Theses
Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies. We hypothesized multivariate adaptive shrinkage may improve cross-population transcriptome prediction, as it leverages effect size estimates across different conditions - in this case, different populations. To test this hypothesis, we made transcriptome prediction models for use in transcriptome-wide association studies (TWAS) using different methods (Elastic Net, Matrix eQTL and Multivariate Adaptive Shrinkage in R (MASHR)) and tested their out-of-sample transcriptome prediction accuracy in population-matched and cross-population scenarios. Additionally, to evaluate model applicability in …