Doctor of Philosophy, Case Western Reserve University, 2023, Biology

Tylosema esculentum (marama bean) is an underutilized legume, long considered as a local potential crop due to its rich nutritional value. The reference plastome and mitogenome were assembled using a hybrid method with both Illumina and PacBio data. The diversity was explored with the WGS data of 84 samples from various geographic locations in Namibia and Pretoria. Phylogenetic analysis revealed two cytotypes with distinct plastomes and mitogenomes with differing levels of variability. Deep sequencing has identified heteroplasmy with both types of organellar genomes present, albeit one at a very low frequency. The inheritance of this complex of organellar genomes appears to be fairly constant, providing a conundrum of how the two genomes co-exist and are propagated through generations. The type 1 mitogenome has two autonomous rings with a total length of 399,572 bp, which can be restructured into five smaller circular molecules through recombination on 3 pairs of long direct repeats. The type 2 mitogenome contains a unique 2,108 bp sequence, which connects distant segments to form a new structure consisting of three circular molecules and one linear chromosome. This increased the copy number of nad9, rrns, rrn5, trnC, and trnfM. The two mitogenomes differed at another 230 loci, with only one nonsynonymous substitution in matR. cpDNA insertions were concentrated in one subgenomic ring of the mitogenome, including a 9,798 bp long fragment that contains potential psbC, rps14, psaA, and psaB pseudogenes. The two types of plastomes range in length from 161,537 bp to 161,580 bp, differing at 122 loci and at a 230 bp inversion. The chloroplast genes rpoC2, rpoB, and ndhD were found to be more diverse than other genes in marama plastome. 21.6 Gb PacBio HiFi data was assembled using Canu v2.2 into an unphased assembly of 1.24 Gb. k-mer analysis indicated that marama may be ancient tetraploid with an estimated genome size of only 277 Mb. The generated assembly has an N50 v (open full item for complete abstract)

Committee: Christopher Cullis (Advisor); Hillel Chiel (Committee Chair); Peter Zimmerman (Committee Member); Jean Burns (Committee Member); Sarah Bagby (Committee Member) Subjects: Bioinformatics; Genetics; Plant Biology

Master of Science in Biomedical Sciences (MSBS), University of Toledo, 2019, Biomedical Sciences (Bioinformatics and Proteomics/Genomics)

Every human has about 100 novel mutations that are absent in the genomes of his/her parents. This intense influx of mutations degrades information that is stored in the DNA sequences and, at the same time, provides an opportunity for creation of new genetic messages. Currently, over one hundred million mutations have been characterized in the public databases. The dynamics of mutation have been investigated for decades in both experiments and sophisticated mathematical models, yet our understanding of genome evolution is still ambiguous. In this project, we computationally processed eighty million human mutations to get clear answers to basic questions about DNA evolution. Specifically, how is the non-randomness in nucleotide composition in vast genomic regions maintained? What biological forces preserve sequence non-randomness from being degraded by novel mutations? Our goal was to uncover peculiarities in dynamics of G+C nucleotide content and evaluate the equilibrium of GC-percentage in the human genome. We found that novel mutations that convert G:C pairs into A:T pairs are 1.39 times more frequent than opposite mutations that change A:T → G:C. This effect is more striking if we take into account the fact that the total number of G:C pairs (42%) is significantly less than the number of A:T pairs (58%). Hence, calculating per nucleotide pair, the mutations of G:C → A:T is 1.93 times more frequent than A:T → G:C mutations. Such bias should create fewer and fewer G:C pairs in the genomes from generation to generation, until it reaches equilibrium at 34% of GC-composition. However, the GC-percentage of the human genome is stable at 42%. There are two possible biological processes that may be responsible for preserving GC-composition from degradation: i) natural selection or ii) biased gene conversion. However, estimated parameters for both processes are unable to explain the maintenance of CG-percentage. We re-evaluated the biased gene conversion paramete (open full item for complete abstract)

Committee: Alexei Fedorov (Committee Chair); Robert Blumenthal (Committee Member); Sadik Khuder (Committee Member) Subjects: Bioinformatics; Biology