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Exploring The Genotypic And Phenotypic Differences Distinguishing Lactobacillus Jensenii And Lactobacillus Mulieris, Adriana Ene, Swarnali Banerjee, Alan J. Wolfe, Catherine Putonti
Exploring The Genotypic And Phenotypic Differences Distinguishing Lactobacillus Jensenii And Lactobacillus Mulieris, Adriana Ene, Swarnali Banerjee, Alan J. Wolfe, Catherine Putonti
Mathematics and Statistics: Faculty Publications and Other Works
Lactobacillus crispatus, Lactobacillus gasseri, Lactobacillus iners, and Lactobacillus jensenii are dominant species of the urogenital microbiota. Prior studies suggest that these Lactobacillus species play a significant role in the urobiome of healthy females. In our prior genomic analysis of all publicly available L. jensenii and Lactobacillus mulieris genomes at the time (n = 43), we identified genes unique to these two closely related species. This motivated our further exploration here into their genotypic differences as well as into their phenotypic differences. First, we expanded genome sequence representatives of both species to 61 strains, including publicly available …
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 …
A Population Level Examination Of The Incredible Fruit Diversity In Astragalus Lentiginosus, Quinn Thomas
A Population Level Examination Of The Incredible Fruit Diversity In Astragalus Lentiginosus, Quinn Thomas
Master's Theses
Astragalus lentiginosus is the most taxomically diverse species in the North American flora with over 40 recognized varieties. The incredible diversity within A. lentiginosus, particularly in respect to its fruit morphology, makes it an exceptional model to study adaptation and evolution. However, it remains unknown whether fruit morphology is an adaptation and, if so, the extent to which selection or neutral evolutionary processes shape the striking diversity in this trait. In order to understand the adaptive significance of fruit morphology we must first understand the genetic structure of A. lentiginosus. Varieties of A. lentiginosus vary considerably in their range size …
Comparison Of Taxonomy Assignment And Strain Detection In Urobiome Communities Using 16s Rrna Sequencing And Shotgun Metagenomic Sequencing, Delaney Sauer
Master's Theses
Advancements in sequencing technologies have enabled scientists to gain insight into the microbes that inhabit the human body, including the urinary tract. Cataloging the bacteria that inhabit the urinary tract has primarily relied on amplification and sequencing of specific variable regions of the 16S rRNA gene enabling genus-level taxonomic identification. Recently, shotgun metagenomic sequencing has been employed such that bacterial taxonomy as well as the functionality that they encode can be inferred. In this study, we compare taxonomies assigned by 16S sequencing and shotgun metagenomic sequencing of the urinary microbiota (urobiome) of females with and without a clinical diagnosis of …