Matching Items (13)
Filtering by
- Genre: Doctoral Dissertation
Description
Next-generation sequencing is a powerful tool for detecting genetic variation. How-ever, it is also error-prone, with error rates that are much larger than mutation rates.
This can make mutation detection difficult; and while increasing sequencing depth
can often help, sequence-specific errors and other non-random biases cannot be de-
tected by increased depth. The problem of accurate genotyping is exacerbated when
there is not a reference genome or other auxiliary information available.
I explore several methods for sensitively detecting mutations in non-model or-
ganisms using an example Eucalyptus melliodora individual. I use the structure of
the tree to find bounds on its somatic mutation rate and evaluate several algorithms
for variant calling. I find that conventional methods are suitable if the genome of a
close relative can be adapted to the study organism. However, with structured data,
a likelihood framework that is aware of this structure is more accurate. I use the
techniques developed here to evaluate a reference-free variant calling algorithm.
I also use this data to evaluate a k-mer based base quality score recalibrator
(KBBQ), a tool I developed to recalibrate base quality scores attached to sequencing
data. Base quality scores can help detect errors in sequencing reads, but are often
inaccurate. The most popular method for correcting this issue requires a known
set of variant sites, which is unavailable in most cases. I simulate data and show
that errors in this set of variant sites can cause calibration errors. I then show that
KBBQ accurately recalibrates base quality scores while requiring no reference or other
information and performs as well as other methods.
Finally, I use the Eucalyptus data to investigate the impact of quality score calibra-
tion on the quality of output variant calls and show that improved base quality score
calibration increases the sensitivity and reduces the false positive rate of a variant
calling algorithm.
This can make mutation detection difficult; and while increasing sequencing depth
can often help, sequence-specific errors and other non-random biases cannot be de-
tected by increased depth. The problem of accurate genotyping is exacerbated when
there is not a reference genome or other auxiliary information available.
I explore several methods for sensitively detecting mutations in non-model or-
ganisms using an example Eucalyptus melliodora individual. I use the structure of
the tree to find bounds on its somatic mutation rate and evaluate several algorithms
for variant calling. I find that conventional methods are suitable if the genome of a
close relative can be adapted to the study organism. However, with structured data,
a likelihood framework that is aware of this structure is more accurate. I use the
techniques developed here to evaluate a reference-free variant calling algorithm.
I also use this data to evaluate a k-mer based base quality score recalibrator
(KBBQ), a tool I developed to recalibrate base quality scores attached to sequencing
data. Base quality scores can help detect errors in sequencing reads, but are often
inaccurate. The most popular method for correcting this issue requires a known
set of variant sites, which is unavailable in most cases. I simulate data and show
that errors in this set of variant sites can cause calibration errors. I then show that
KBBQ accurately recalibrates base quality scores while requiring no reference or other
information and performs as well as other methods.
Finally, I use the Eucalyptus data to investigate the impact of quality score calibra-
tion on the quality of output variant calls and show that improved base quality score
calibration increases the sensitivity and reduces the false positive rate of a variant
calling algorithm.
ContributorsOrr, Adam James (Author) / Cartwright, Reed (Thesis advisor) / Wilson, Melissa (Committee member) / Kusumi, Kenro (Committee member) / Taylor, Jesse (Committee member) / Pfeifer, Susanne (Committee member) / Arizona State University (Publisher)
Created2020
Description
Leprosy, or Hansen’s disease, is often relegated to antiquity, yet it remains a modern public health concern with around 200,000 new cases reported annually around the world (World Health Organization, 2023). Most leprosy cases in humans are caused by Mycobacterium leprae, but a small number of cases are now known to be caused by Mycobacterium lepromatosis, which is found mostly in Mexico and the Caribbean (Han et al., 2008; 2012). Recent work has improved our understanding of the pattern of genomic variation in M. leprae strains, however certain regions remain understudied. Additionally, ongoing surveillance has identified pockets of hyperendemicity, which could act as hotspots for the spread of drug-resistant strains. Despite increased surveillance, there has been limited genomic research in regions like the Pacific and few surveys incorporating a broad species range in endemic areas. To address this, M. leprae genomes were isolated from clinical formalin-fixed, paraffin-embedded (FFPE) samples from the Pacific Islands and used in phylogenetic and phylogeographic analyses. 21 novel M. leprae strains from these samples were sequenced and dating analyses determined that M. leprae strains have been circulating in the Pacific since the original peopling of the region. Furthermore, recent radiation events among the Pacific Islands, as well as a rise in drug-resistant M. leprae strains, were identified and described. Additionally, a survey of animals in an endemic state in Brazil resulted in the first M. leprae genome isolated from a big cat. This body of research leverages genomic data to characterize novel diversity of M. leprae strains, identify drug-resistant strains in these regions, and determine how this pathogen spreads through space and time. The results of this work will aid in our understanding of the history of leprosy and improve public health responses to this disease.
ContributorsCrane, Adele Elizabeth (Author) / Stone, Anne (Thesis advisor) / Fox, Keolu (Committee member) / Varsani, Arvind (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2024
Description
Mutation is the source of heritable variation of genotype and phenotype, on which selection may act. Mutation rates describe a fundamental parameter of living things, which influence the rate at which evolution may occur, from viral pathogens to human crops and even to aging cells and the emergence of cancer. An understanding of the variables which impact mutation rates and their estimation is necessary to place mutation rate estimates in their proper contexts. To better understand mutation rate estimates, this research investigates the impact of temperature upon transcription rate error estimates; the impact of growing cells in liquid culture vs. on agar plates; the impact of many in vitro variables upon the estimation of deoxyribonucleic acid (DNA) mutation rates from a single sample; and the mutational hazard induced by expressing clustered regularly interspaced short palindromic repeat (CRISPR) proteins in yeast. This research finds that many of the variables tested did not significantly alter the estimation of mutation rates, strengthening the claims of previous mutation rate estimates across the tree of life by diverse experimental approaches. However, it is clear that sonication is a mutagen of DNA, part of an effort which has reduced the sequencing error rate of circle-seq by over 1,000-fold. This research also demonstrates that growth in liquid culture modestly skews the mutation spectrum of MMR- Escherichia coli, though it does not significantly impact the overall mutation rate. Finally, this research demonstrates a modest mutational hazard of expressing Cas9 and similar CRISPR proteins in yeast cells at an un-targeted genomic locus, though it is possible the indel rate has been increased by an order of magnitude.
ContributorsBaehr, Stephan (Author) / Lynch, Michael (Thesis advisor) / Geiler-Samerotte, Kerry (Committee member) / Mangone, Marco (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2023
Description
Following injury, dying cells act as essential regulators of the damage response by promoting tissue repair and regeneration. Evidence of apoptotic signaling during regeneration has been found in diverse tissue contexts, and several mechanisms by which these signals dictate the collective tissue outcome have been identified. However, much less is understood about how tissues respond to other types of cell death, like necrosis. Necrosis is a catastrophic type of tissue death that can occur in diverse tissues and is central to many human injuries and inherited and congenital conditions. Characterized by the sudden loss of membrane integrity, necrosis often spreads to adjacent, healthy cells, severely compromising tissue health and requiring invasive medical procedures for treatment. A better understanding of how necrotic cells communicate with surrounding tissue is crucial to more effectively treat necrotic wounds. However, a lack of accessible genetic models to study the interactions between necrotic and healthy cells has impaired progress in the field. To address this, this work has established a novel genetic ablation system in the Drosophila wing imaginal disc to study the tissue response to necrosis.Following necrosis, a strong tissue regeneration response occurs that relies on the apoptosis of cells at a distance from the wound, known as necrosis-induced apoptosis (NiA). Unlike other instances of damage-associated apoptosis, NiA cells do not secrete mitogenic factors. However, these cells promote regeneration by stimulating regenerative proliferation, while the inhibition of NiA cell activity results in a reduced capacity to regenerate, as assayed by adult wing size. Moreover, NiA cells may potentially survive apoptosis and instead utilize apoptotic factors to persist in the disc over time to repair the damaged tissue as necrosis-induced caspase positive (NiCP) cells. NiCP appear to utilize a non-apoptotic function of the initiator caspase Dronc to promote regenerative proliferation, highlighting a potentially novel role for non-apoptotic caspase signaling during tissue regeneration.
ContributorsKlemm, Jacob William (Author) / Harris, Robin (Thesis advisor) / Wilson-Rawls, Jeanne (Committee member) / Wilson, Melissa (Committee member) / Newbern, Jason (Committee member) / Arizona State University (Publisher)
Created2024
Description
I studied the molecular mechanisms of ultraviolet radiation mitigation (UVR) in the terrestrial cyanobacterium Nostoc punctiforme ATCC 29133, which produces the indole-alkaloid sunscreen scytonemin and differentiates into motile filaments (hormogonia). While the early stages of scytonemin biosynthesis were known, the late stages were not. Gene deletion mutants were interrogated by metabolite analyses and confocal microscopy, demonstrating that the ebo gene cluster, was not only required for scytonemin biosynthesis, but was involved in the export of scytonemin monomers to the periplasm. Further, the product of gene scyE was also exported to the periplasm where it was responsible for terminal oxidative dimerization of the monomers. These results opened questions regarding the functional universality of the ebo cluster. To probe if it could play a similar role in organisms other than scytonemin producing cyanobacteria, I developed a bioinformatic pipeline (Functional Landscape And Neighbor Determining gEnomic Region Search; FLANDERS) and used it to scrutinize the neighboring regions of the ebo gene cluster in 90 different bacterial genomes for potentially informational features. Aside from the scytonemin operon and the edb cluster of Pseudomonas spp., responsible for nematode repellence, no known clusters were identified in genomic ebo neighbors, but many of the ebo adjacent regions were enriched in signal peptides for export, indicating a general functional connection between the ebo cluster and biosynthetic compartmentalization. Lastly, I investigated the regulatory span of the two-component regulator of the scytonemin operon (scyTCR) using RNAseq of scyTCR deletion mutants under UV induction. Surprisingly, the knockouts had decreased expression levels in many of the genes involved in hormogonia differentiation and in a putative multigene regulatory element, hcyA-D. This suggested that UV could be a cue for developmental motility responses in Nostoc, which I could confirm phenotypically. In fact, UV-A simultaneously elicited hormogonia differentiation and scytonemin production throughout a genetically homogenous population. I show through mutant analyses that the partner-switching mechanism coded for by hcyA-D acts as a hinge between the scytonemin and hormogonia based responses. Collectively, this dissertation contributes to the understanding of microbial adaptive responses to environmental stressors at the genetic and regulatory level, highlighting their phenomenological and mechanistic complexity.
ContributorsKlicki, Kevin (Author) / Garcia-Pichel, Ferran (Thesis advisor) / Wilson, Melissa (Committee member) / Mukhopadhyay, Aindrila (Committee member) / Misra, Rajeev (Committee member) / Arizona State University (Publisher)
Created2021
Description
The family Cactaceae is extremely diverse and has a near global distribution yet very little has been described regarding the community of viruses that infect or are associated with cacti. This research characterizes the diversity of viruses associated with Cactaceae plants and their evolutionary aspects. Five viruses belonging to the economically relevant plant virus family Geminiviridae were identified, initially, two novel divergent geminiviruses named Opuntia virus 1 (OpV1) and Opuntia virus 2 (OpV2) and Opuntia becurtovirus, a new strain within the genus Becurtovirus. These three viruses were also found in co-infection. In addition, two known geminiviruses, the squash leaf curl virus (SLCV) and watermelon chlorotic stunt virus (WCSV) were identified infecting Cactaceae plants and other non-cactus plants in the USA and Mexico. Both SLCV and WCSV are known to cause severe disease in cultivated Cucurbitaceae plants in the USA and Middle East, respectively. This study shows that WCSV was introduced in the America two times, and it is the first identification of this virus in the USA, demonstrating is likely more widespread in North America. These findings along with the Opuntia becurtovirus are probable events of spill-over in agro-ecological interfaces. A novel circular DNA possibly bipartite plant-infecting virus that encodes protein similar to those of geminiviruses was also identified in an Opuntia discolor plant in Brazil, named utkilio virus, but it is evolutionary distinct likely belonging to a new taxon. Viruses belonging to the ssDNA viral family Genomoviridae are also described and those thus far been associated with fungi hosts, so it is likely the ones identified in plants are associated with their phytobiome. Overall, the results of this project provide a molecular and biological characterization of novel geminiviruses and genomoviruses associated with cacti as well as demonstrate the impact of agro-ecological interfaces in the spread of viruses from or to native plants. It also highlights the importance of viral metagenomics studies in exploring virus diversity and evolution given then amount of virus diversity identified. This is important for conservation and management of cacti in a global scale, including the relevance of controlled movement of plants within countries.
ContributorsSalgado Fontenele, Rafaela (Author) / Varsani, Arvind (Thesis advisor) / Wilson, Melissa (Committee member) / Majure, Lucas (Committee member) / Van Doorslaer, Koenraad (Committee member) / Wojciechowski, Martin (Committee member) / Arizona State University (Publisher)
Created2021
Description
Parkinson’s disease (PD) is a progressive neurodegenerative disorder, diagnosed late in
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
ContributorsHenderson, Adrienne Rose (Author) / Huentelman, Matthew J (Thesis advisor) / Newbern, Jason (Thesis advisor) / Dunckley, Travis L (Committee member) / Jensen, Kendall (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2019
Description
Life history theory offers a powerful framework to understand evolutionary selection pressures and explain how adaptive strategies use the life history trade-off and differences in cancer defenses across the tree of life. There is often some cost to the phenotype of therapeutic resistance and so sensitive cells can usually outcompete resistant cells in the absence of therapy. Adaptive therapy, as an evolutionary and ecologically inspired paradigm in cancer treatment, uses the competitive interactions between drug-sensitive, and drug-resistant subclones to help suppress the drug-resistant subclones. However, there remain several open challenges in designing adaptive therapies, particularly in extending this approach to multiple drugs. Furthermore, the immune system also plays a role in preventing and controlling cancers. Life history theory may help to explain the variation in immune cell levels across the tree of life that likely contributes to variance in cancer prevalence across vertebrates. However, this has not been previously explored. This work 1) describes resistance management for cancer, lessons cancer researchers learned from farmers since adaptive evolutionary strategies were inspired by the management of resistance in agricultural pests, 2) demonstrates how adaptive therapy protocols work with gemcitabine and capecitabine in a hormone-refractory breast cancer mouse model, 3) tests for a relationship between life history strategy and the immune system, and tests for an effect of immune cells levels on cancer prevalence across vertebrates, and 4) provides a novel approach to improve the teaching of life history theory. This work applies lessons that cancer researchers learned from pest managers, who face similar issues of pesticide resistance, to control cancers. It represents the first time that multiple drugs have been used in adaptive therapy for cancer, and the first time that adaptive therapy has been used on hormone-refractory breast cancer. I found that this evolutionary approach to cancer treatment prolongs survival in mice and also selects for the slow life history strategy. I also discovered that species with slower life histories have higher concentrations of white blood cells and a higher percentage of heterophils, monocytes and segmented neutrophils. Moreover, larger platelet size is associated with higher cancer prevalence in mammals.
ContributorsSeyedi, Seyedehsareh (Author) / Maley, Carlo (Thesis advisor) / Blattman, Joseph (Committee member) / Anderson, Karen (Committee member) / Wilson, Melissa (Committee member) / Huijben, Silvie (Committee member) / Gatenby, Robert (Committee member) / Arizona State University (Publisher)
Created2023
Description
Diffuse pleural mesothelioma (DPM) is a devastating lung cancer most commonly diagnosed at an advanced stage with a poor prognosis for patients. Therapies available to patients after diagnosis currently include surgical resection, radiotherapy, immunotherapy, and chemotherapy. However, these therapies only prolong life for about a year and a half on average. DPM patients desperately need effective therapies in the form of drugs, drug combinations, and miRNA-based therapies, that could lengthen overall survival and provide a better quality of life. I hypothesized that focusing on DPM tumor biology would streamline the process for discovering new therapies that will have a lasting impact for patients. I have applied systems biology methods to mine multiomic data from patient DPM tumors to discover new therapeutic options. I began by developing a somatic mutation integration pipeline, which created a comprehensive somatic mutational profile of DPM tumors from patient genomic and transcriptomic data. The somatic mutational profile was used in the generation of dpmSYGNAL, a disease-relevant gene regulatory network (GRN) trained on patient tumor multiomic data. I integrated this GRN with functional genomics screens performed on two low-passage primary DPM tumor cell lines and identified gene vulnerabilities that could be targeted by FDA-approved inhibitors and drug combinations. I also developed a pipeline to integrate miRNA target genes from biotinylated pulldowns with RNA-seq data from a study re-expressing the miRNA hsa-miR-497-5p in DPM cell lines. I determined that the re-expression of hsa-miR-497-5p had early pro-apoptotic effects and inhibited the cell cycle at later time points. The identification of inhibitors, combinations of inhibitors, and a therapeutic miRNA demonstrates that DPM biology can be used as a guide to discover new therapeutics for DPM.
ContributorsWilferd, Sierra Fe (Author) / Plaisier, Christopher L (Thesis advisor) / Anderson, Karen (Committee member) / Wilson, Melissa (Committee member) / Hoang, Chuong D (Committee member) / Arizona State University (Publisher)
Created2024
Description
Pathology of TDP-43, an RNA binding protein, is a pathological hallmark of multiple neurodegenerative diseases including Amyotrophic lateral sclerosis (ALS), Frontotemporal dementia (FTD), and Alzheimer’s disease (AD). Remarkably, wild-type TDP-43 protein associates with pathological inclusions in multiple dementias regardless of etiology. The frequency of observed TDP-43 pathology varies between 30-57% in AD, 45% in FTD, and 95% in ALS. Mislocalization of TDP-43 from the nucleus to the cytoplasm where it is associated with aggregates of varied shapes in a common feature of TDP-43 pathology. The normal function of TDP-43 has been linked to multiple steps in RNA processing including transcription, splicing, RNA transport, stability, localization, and translation. TDP-43 also has autoregulatory functions where the protein inhibits its own transcription. Most studies aimed at understanding TDP-43 pathology have been performed in the context of ALS and FTD where it is known to affect profound changes on the transcriptome, while little is known about the molecular mechanisms and consequences of TDP-43 pathology in AD. TDP-43 dependent alterations in gene expression, in neurons with TDP-43 pathology, are expected to contribute to neuronal dysfunction and degeneration in AD and related dementias. This hypothesis was tested through 1) gene discovery in neurons depleted of TDP-43 isolated from postmortem brain tissue of AD, MCI and non-neurological control patient samples and 2) validations of newly identified alterations in gene expression using differentiated neural stem cells. TDP-43 pathology was found to drive transcriptomic alterations and indeed that the alterations observed in neurons depleted of TDP-43 showed more differentially expressed genes than those with normal levels of nuclear TDP-43 including expression of cryptic exons in KALRN and UNC13A. NDE1 was also differentially expressed in ReNcell differentiated neurons when TDP-43 was knocked down using siRNA treatment, as predicted by the RNA-Seq analysis.
ContributorsPevey, Ryan Shaun (Author) / Sattler, Rita (Thesis advisor) / Van Keuren-Jensen, Kendall (Committee member) / Wilson, Melissa (Committee member) / Newbern, Jason (Committee member) / Zarnescu, Daniela (Committee member) / Arizona State University (Publisher)
Created2024