Genetic Structure of the Florida Key Tree Cactus, Pilosocereus robinii, using Restriction Site associated DNA (RAD) markers

Rare plant conservation efforts must utilize current genetic methods to ensure the evolutionary potential of populations is preserved. One such effort involves the Key Tree Cactus, Pilosocereus robinii, which is an endangered columnar cactus native to the Florida Keys. The populations have precipitously declined over the past decade because of habitat loss and increasing soil salinity from rising sea levels and storm surge. Next-generation DNA sequencing was used to assess the genetic structure of the populations. Twenty individuals representative of both wild and extirpated cacti were chosen for Restriction Site Associated DNA (RAD) analysis. Samples processed using the HindIII and NotIII restriction enzymes produced 82,382,440 high quality reads used for genetic mapping, from which 5,265 Single Nucleotide Polymorphisms (SNPs) were discovered. The analysis revealed that the Keys’ populations are closely related with little population differentiation. In addition, the populations display evidence of inbreeding and low genetic diversity.

Mitochondrial inheritance during a parasexual cycle in {\it Fusarium oxysporum\/} forma specialis {\it cubense\/}

Fusarium oxysporum is a diverse, asexual fungal species composed of both saprophytic and pathogenic members. The destructive phytopathogens are classified into formae speciales based on the host species and into vegetative compatibility groups (VCGs) based on the ability of two individuals to form heterokaryons. Parasexuality, a non-sexual mode of genetic exchange unique to some fungi has been demonstrated in the laboratory in Fusarium oxysporum f. sp. cubense (FOC). The goals of this dissertation were threefold: to ascertain whether mitochondrial (mt) markers can distinguish race differences in FOC; to determine genetic relatedness of VCGs in FOC based on a mt marker; and to discover the mode of mt inheritance during a parasexual cycle.^ Band patterns produced by electrophoresis of Hae III digested genomic DNA indicated that VCG differences, not race, could be discerned by mtDNA analysis. Primers were designed to amplify a mt intergenic locus which served as a molecular marker to screen 55 strains of FOC in 16 VCGs using both single strand conformational polymorphism and DNA sequencing. Based on homogeneity of the locus, strains were assigned to seven mitotypes, a classification unit which I introduced and found informative for grouping related VCGs.^ To determine the mode of mt inheritance during a parasexual cycle, strains in different mitotypes were paired. Mitochondrial inheritance in all hybrid progeny was found to be uniparental. I speculated that if a parasexual cycle occurs in nature there would be greater variation in the nuclear genome than the mt. This could produce multiple VCGs within a mitotype, a phenomenon observed in FOC. Based on these data, I concluded that parasexuality in nature may contribute to the diversity observed in Fusarium oxysporum. ^

An Analytical Workflow for Metagenomic Data and its Application to the Study of Chronic Obstructive Pulmonary Disease (COPD)

Metagenomics is the culture-independent study of genetic material obtained directly from environmental samples. It has become a realistic approach to understanding microbial communities thanks to advances in high-throughput DNA sequencing technologies over the past decade. Current research has shown that different sites of the human body house varied bacterial communities. There is a strong correlation between an individual’s microbial community profile at a given site and disease. Metagenomics is being applied more often as a means of comparing microbial profiles in biomedical studies. The analysis of the data collected using metagenomics can be quite challenging and there exist a plethora of tools for interpreting the results. An automatic analytical workflow for metagenomic analyses has been implemented and tested using synthetic datasets of varying quality. It is able to accurately classify bacteria by taxa and correctly estimate the richness and diversity of each set. The workflow was then applied to the study of the airways microbiome in Chronic Obstructive Pulmonary Disease (COPD). COPD is a progressive lung disease resulting in narrowing of the airways and restricted airflow. Despite being the third leading cause of death in the United States, little is known about the differences in the lung microbial community profiles of healthy individuals and COPD patients. Bronchoalveolar lavage (BAL) samples were collected from COPD patients, active or ex-smokers, and never smokers and sequenced by 454 pyrosequencing. A total of 56 individuals were recruited for the study. Substantial colonization of the lungs was found in all subjects and differentially abundant genera in each group were identified. These discoveries are promising and may further our understanding of how the structure of the lung microbiome is modified as COPD progresses. It is also anticipated that the results will eventually lead to improved treatments for COPD.