Genetics and Genomics Commons^™

A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes

Graduate Industrial Research Symposium

The genetic perturbations caused by spaceflight on biological systems tend to have a system-wide effect which is often difficult to deconvolute it into individual signals with specific points of origin. Single cell multi-omic data can provide a profile of the perturbational effects, but does not necessarily indicate the initial point of interference within the network. The objective of this project is to take advantage of large scale and genome-wide perturbational datasets by using them to train a tuned machine learning model that is capable of predicting the effects of unseen perturbations in new data. Perturb-Seq datasets are large libraries of …

Model-Based Deep Autoencoders For Clustering Single-Cell Rna Sequencing Data With Side Information, Xiang Lin

Dissertations

Clustering analysis has been conducted extensively in single-cell RNA sequencing (scRNA-seq) studies. scRNA-seq can profile tens of thousands of genes' activities within a single cell. Thousands or tens of thousands of cells can be captured simultaneously in a typical scRNA-seq experiment. Biologists would like to cluster these cells for exploring and elucidating cell types or subtypes. Numerous methods have been designed for clustering scRNA-seq data. Yet, single-cell technologies develop so fast in the past few years that those existing methods do not catch up with these rapid changes and fail to fully fulfil their potential. For instance, besides profiling transcription …

Exploring Soil Microbial Dynamics In Southern Appalachian Forests: A Systems Biology Approach To Prescribed Fire Impacts, Saad Abd Ar Rafie

Doctoral Dissertations

Prescribed fires in Southern Appalachian forests are vital in ecosystem management and wildfire risk mitigation. However, understanding the intricate dynamics between these fires, soil microbial communities, and overall ecosystem health remains challenging. This dissertation addresses this knowledge gap by exploring selected aspects of this complex relationship across three interconnected chapters.

The first chapter investigates the immediate effects of prescribed fires on soil microbial communities. It reveals subtle shifts in porewater chemistry and significant increases in microbial species richness. These findings offer valuable insights into the interplay between soil properties and microbial responses during the early stages following a prescribed fire. …

Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Previous efforts in using genome-wide analysis of transcription factor binding sites (TFBSs) have overlooked the importance of ranking potential significant regulatory regions, especially those with repetitive binding within a local region. Identifying these homogenous binding sites is critical because they have the potential to amplify the binding affinity and regulation activity of transcription factors, impacting gene expression and cellular functions. To address this issue, we developed an open-source tool Motif-Cluster that prioritizes and visualizes transcription factor regulatory regions by incorporating the idea of local motif clusters. Motif-Cluster can rank the significant transcription factor regulatory regions without the need for experimental …

Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone

Complex Biosystems PhD Program: Dissertations

The task of gene prediction has been largely stagnant in algorithmic improvements compared to when algorithms were first developed for predicting genes thirty years ago. Rather than iteratively improving the underlying algorithms in gene prediction tools by utilizing better performing models, most current approaches update existing tools through incorporating increasing amounts of extrinsic data to improve gene prediction performance. The traditional method of predicting genes is done using Hidden Markov Models (HMMs). These HMMs are constrained by having strict assumptions made about the independence of genes that do not always hold true. To address this, a Convolutional Neural Network (CNN) …

Modeling Nonsegmented Negative-Strand Rna Virus (Nnsv) Transcription With Ejective Polymerase Collisions And Biased Diffusion, Felipe-Andres Piedra

Research Symposium

Background: The textbook model of NNSV transcription predicts a gene expression gradient. However, multiple studies show non-gradient gene expression patterns or data inconsistent with a simple gradient. Regarding the latter, several studies show a dramatic decrease in gene expression over the last two genes of the respiratory syncytial virus (RSV) genome (a highly studied NNSV). The textbook model cannot explain these phenomena.

Methods: Computational models of RSV and vesicular stomatitis virus (VSV – another highly studied NNSV) transcription were written in the Python programming language using the Scientific Python Development Environment. The model code is freely available on GitHub: …

An Implementation Of The Method Of Moments On Chemical Systems With Constant And Time-Dependent Rates, Emmanuel O. Adara, Roger B. Sidje

Northeast Journal of Complex Systems (NEJCS)

Among numerical techniques used to facilitate the analysis of biochemical reactions, we can use the method of moments to directly approximate statistics such as the mean numbers of molecules. The method is computationally viable in time and memory, compared to solving the chemical master equation (CME) which is notoriously expensive. In this study, we apply the method of moments to a chemical system with a constant rate representing a vascular endothelial growth factor (VEGF) model, as well as another system with time-dependent propensities representing the susceptible, infected, and recovered (SIR) model with periodic contact rate. We assess the accuracy of …

Computational Analysis Of Antibody Binding Mechanisms To The Omicron Rbd Of Sars-Cov-2 Spike Protein: Identification Of Epitopes And Hotspots For Developing Effective Therapeutic Strategies, Mohammed Alshahrani

Computational and Data Sciences (PhD) Dissertations

The advent of the Omicron strain of SARS-CoV-2 has elicited apprehension regarding its potential influence on the effectiveness of current vaccines and antibody treatments. The present investigation involved the implementation of mutational scanning analyses to examine the impact of Omicron mutations on the binding affinity of four categories of antibodies that target the Omicron receptor binding domain (RBD) of the Spike protein. The study demonstrates that the Omicron variant harbors 23 unique mutations across the RBD regions I, II, III, and IV. Of these mutations, seven are shared between RBD regions I and II, while three are shared among RBD …

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 …

Machine Learning And Network Embedding Methods For Gene Co-Expression Networks, Niloofar Aghaieabiane

Dissertations

High-throughput technologies such as DNA microarrays and RNA-seq are used to measure the expression levels of large numbers of genes simultaneously. To support the extraction of biological knowledge, individual gene expression levels are transformed into Gene Co-expression Networks (GCNs). GCNs are analyzed to discover gene modules. GCN construction and analysis is a well-studied topic, for nearly two decades. While new types of sequencing and the corresponding data are now available, the software package WGCNA and its most recent variants are still widely used, contributing to biological discovery.

The discovery of biologically significant modules of genes from raw expression data is …

Du Undergraduate Showcase: Research, Scholarship, And Creative Works, Caitlyn Aldersea, Justin Bravo, Sam Allen, Anna Block, Connor Block, Emma Buechler, Maria De Los Angeles Bustillos, Arianna Carlson, William Christensen, Olivia Kachulis, Noah Craver, Kate Dillon, Muskan Fatima, Angel Fernandes, Emma Finch, Colleen Cassidy, Amy Fishman, Andrea Francis, Stacia Fritz, Simran Gill, Emma Gries, Rylie Hansen, Shannon Powers, Jacqueline Martinez, Zachary Harker, Ashley Hasty, Mykaela Tanino-Springsteen, Kathleen Hopps, Adelaide Kerenick, Colin Kleckner, Ci Koehring, Elijah Kruger, Braden Krumholz, Maddie Leake, Lyneé Alves, Seraphina Loukas, Yatzari Lozano Vazquez, Haley Maki, Emily Martinez, Sierra Mckinney, Mykaela Tanino-Springsteen, Audrey Mitchell, Kipling Newman, Audrey Ng, Megan Lucyshyn, Andrew Nguyen, Stevie Ostman, Casandra Pearson, Alexandra Penney, Julia Gielczynski, Tyler Ball, Anna Rini, Christina Rorres, Simon Ruland, Helayna Schafer, Emma Sellers, Sarah Schuller, Claire Shaver, Kevin Summers, Isabella Shaw, Madison Sinar, Claudia Pena, Apshara Siwakoti, Carter Sorensen, Madi Sousa, Anna Sparling, Alexandra Revier, Brandon Thierry, Dylan Tyree, Maggie Williams, Lauren Wols

DU Undergraduate Research Journal Archive

DU Undergraduate Showcase: Research, Scholarship, and Creative Works

Deephtlv: A Deep Learning Framework For Detecting Human T-Lymphotrophic Virus 1 Integration Sites, Johnathan Jia, Johnathan Jia

Dissertations & Theses (Open Access)

In the 1980s, researchers found the first human oncogenic retrovirus called human T-lymphotrophic virus type 1 (HTLV-1). Since then, HTLV-1 has been identified as the causative agent behind several diseases such as adult T-cell leukemia/lymphoma (ATL) and a HTLV-1 associated myelopathy or tropical spastic paraparesis (HAM/TSP). As part of its normal replication cycle, the genome is converted into DNA and integrated into the genome. With several hundreds to thousands of unique viral integration sites (VISs) distributed with indeterminate preference throughout the genome, detection of HTLV-1 VISs is a challenging task. Experimental studies typically use molecular biology …

Development Of Three Novel Edna Assays For Detecting Coastal Sharks, Kristina Dawn Flanigan

Electronic Theses and Dissertations

Environmental DNA (eDNA) analysis is an emerging, non-invasive community monitoring tool. This study aimed to determine if eDNA methods can be reliably used in a large brackish, partially mixed estuary by developing and testing three novel eDNA primers, for Sandbar Sharks (Carcharhinus plumbeus), Blacknose Sharks (Carcharhinus acronotus), and Bonnetheads (Sphyrna tiburo). These primers were designed to target 109, 156, and 120 base pair (bp) fragments, respectively, of the highly conserved NAD2 gene in the mitochondrial genome of each species. Primer function was validated through testing against 102 known genomic source samples and 25 filtered water samples from aquaria in which …

Complete Genome Sequences Of Chop, Delrio, And Grandslam, Three Gordonia Phages Isolated From Soil In Central Arkansas, Heidi N. Mathes, Elijah I. Christenson, John H. Crum, Emme M. Edmondson, Kassidy E. Gray, Luke W. Lawson, Lauren E. Lee, Michael P. Lee, Jackson A. Lipscomb, Morgan E. Masengale, Hannah G. Matthews, Charles M. Mcclain 4th, Tuesday N. Melton, Trace H. Morrow, Alexis M. Perry, David R. Rainwater, Grace E. Renois, Maryann F. Rettig, Duncan C. Troup, Allie J. Wilson, Nathan Reyna, Ruth Plymale

Articles

Chop, DelRio, and GrandSlam are phage with a Siphoviridae morphotype isolated from soil in Arkansas using the host Gordonia terrae 3612. All three are temperate, and their genomes share at least 96% nucleotide identity. These phage are assigned to cluster DI based on gene content similarity to other sequenced actinobacteriophage.

Physiological And Transcriptomic Responses Of Two Artemisia Californica Populations To Drought: Implications For Restoring Drought-Resilient Native Communities, Hagop S. Atamian Dr., Jennifer L. Funk

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

As climate change brings drier and more variable rainfall patterns to many arid and semi-arid regions, land managers must re-assemble appropriate plant communities for these conditions. Transcriptome sequencing can elucidate the molecular mechanisms underlying plant responses to changing environmental conditions, potentially enhancing our ability to screen suitable genotypes and species for restoration. We examined physiological and morphological traits and transcriptome sequences of coastal and inland populations of California sagebrush (Artemisia californica), a critical shrub used to restore coastal sage scrub vegetation communities, grown under low and high rainfall environments. The populations are located approximately 36 km apart but …

Role Of Age And Sex In The Effects Of Repeated Methamphetamine Exposure On Hedonic Tone In Sprague Dawley Rats, Cameron Lewis, Conor Strumberger, Joshua M. Gulley

PRECS student projects

Anhedonia is defined as a reduced or complete loss of pleasure from a previously pleasurable stimulus, and it is comprised of two dimensions:

• Hedonic anhedonia consists of a distinct loss of pleasure in consumption of a normally pleasurable stimulus.
• Motivational anhedonia involves the goal directed behavior to obtain a reward.

Withdrawal induced anhedonia following use of methamphetamine (METH) is thought to contribute to relapse behaviors^1,2 . The anhedonic effects of drug withdrawal largely depend on dose, frequency, and the duration of drug exposure^4,5,6.

The role of sex and age of exposure in this context has yet to …

How Fungicide Alters The Hidden Mycobiome Of A Restored Prairie System, Mya Reyes, Noah Brown, Anthony Yannarell

PRECS student projects

• Fungal Endophytes are microscopic fungi that live inside plant tissues and form a symbiotic relationship that influences the fitness of both parties.

• Fungicides are a widely used method of crop disease control in agriculture, but fungicides can be carried into other environments by water and wind.

• This experiment looks at how long-term fungicide exposure affects diversity of fungal endophytes that are grown in vitro as well as screens them for phosphate solubilization ability.

• Phosphate is a vital macronutrient that is essential for making nucleic acids (DNA, RNA) as well as playing a vital role in energy transfer throughout the plant's …

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Effect Of Varied Macronutrient Ratios On Honey Bee Tolerance To Iapv Infection, Caitlin Lennon-Puthoff, Alex Payne, Adam Dolezal

PRECS student projects

Honey bees are killed by Israeli acute paralysis virus (IAPV). Because this virus has no cure, it is important to lessen its impact on bees through proper nutrition. This project explores the effects of differing protein to lipid (P:L) ratios in pollen on honey bee susceptibility to this virus.

Over three trials, bees in cages were incubated for 3 days to resemble hive conditions. Two doses of IAPV (10^-3 & 10^-2) and a negative control were used, along with five P:L ratios (1.5, 2.5, 11.5, 16.5, & 21.5:1) and a sucrose-only diet. These treatment groups were combined …

Evaluating The Enzymatic Activity Of Transformed X. Cucurbitae, Emily Beger, Iris Lee, Sarah Hind

PRECS student projects

Introduction

• The United States’ pumpkin industry exceeds one billion dollars [1], with Illinois contributing to over 90% of processing pumpkin production.
• Pumpkin growers face a rising concern due to the increasing occurrence of Xanthomonas cucurbitae , the pathogen that causes bacterial spot disease in cucurbits, including pumpkins.
• X. cucurbitae infection leads to the appearance of small, sunken, beige spots on cucurbit fruits and leaves.
• Over time, the bacterium can compromise fruit integrity by breaking down the epidermis and cuticle. • Bacterial spot disease also creates opportunities for other bacteria and fungi to infiltrate the affected fruits, leading to fruit rot …

The Tomato Strikes Back: Plant Response To Environmental Stress, Maya K. Davis, Erinn Dady, Esther N. Ngumbi

PRECS student projects

Introduction

• Tomato is an important vegetable. Its production is threatened due to altered weather patterns which increase environmental stressors such as flooding^{1, 2} and herbivory³ to crops.
• Plants respond in many ways. Stressed plants strike back to environmental stress by altering their chemistry⁴:

1. Volatile Organic Compounds (VOCs) emissions
2. Defensive secondary metabolites²

• Stress induced physiological changes in plants impact growth and development of insects.
• This study is broken into two experiments:

1. The plant response to flooding stress
2. The insect performance on flooded plants

Confirming Presence And Mobilization Of Partner Quality Genes In Sinorhizobium Meliloti, Ethan Perez, Ivan Sosa Marquez, Katy Heath

PRECS student projects

• Mutualism is an interaction in which two organisms benefit from each other.
• The symbiotic relationship between the bacterium Sinorhizobium meliloti and the plant Medicago truncatula is dictated by the bacterial plasmids.
• The Heath lab has a collection of 191 Sinorhizobium meliloti strains with different symbiotic plasmids that vary across populations (Riley et al., 2022).
• Each strain can be a better or worse partner for its plant host in symbiosis with the variation in fitness being called partner quality (Fig. 1)
• These traits can be traced back to the genetic elements that underlie this effect (Batstone et al.,
• These genetic elements …

Revisiting The Reproductive Behaviors Of Blackspotted Stickleback, Cassidy Constant, Megan Tucker, Colby Behrens, Alison M. Bell

PRECS student projects

Why Blackspotted Stickleback?

How Behaviors Evolve Comparing closely related species can give insights into how behavior evolves.

Well studied: Three-spined Stickleback (Gasterosteus aculeatus)

• Model organism for natural variation in behavioral evolution 1.
• Divergence in parental care in two ecotypes1,2.
• White and common ecotypes recently diverged 2.

Lesser studied: Blackspotted Stickleback (Gasterosteus wheatlandi)

• Three-spined’s closest living relative.
• Possible behavioral intermediate of commons & whites.
• Blackspotted egg dispersal is similar to white three-spined 3.

Fusarium Isolates Adapt To Specific Wheat Tissues, Liam Kent, Mara Krone, Santiago Mideros

PRECS student projects

Introduction

Tissue specificity is a pathogen’s preference for infecting one section of tissue (i.e., root, stem, or head) over another. 1 Having a better understanding of a pathogen’s ability to cause disease on specific tissues could contribute to new mechanisms of disease control. This will allow growers to make the best decision on effective pathogen management. In 2022, Fusarium isolates were collected from wheat heads and roots across Illinois. These isolates were used in a pathogen aggressiveness assay on wheat roots, in an in vitro growth rate experiment , and in the development of a spore quantification protocol. The phenotypic …

Identifying Genes Influencing The Efficiency Of Photosynthesis, Jason M. Rivera, Steven Burgess

PRECS student projects

• Photosynthesis adapts to environmental conditions over time.¹

• Varying environmental conditions lead to stress accumulation on the plant.²

• A genetic library has been assembled for forward genetic screening of Arabidopsis thaliana.³

• Arabidopsis Thaliana is a model plant used as a model organism in growth experiments.

• This research project aims to identify and analyze candidate genes that impact the efficiency of photosynthesis.

• These genes can be transplanted into commercial crops to increase efficiency of photosynthesis and crop yields.

Potential Implications Of Elevated Co2 For Enhanced Rock Weathering In Croplands, Hannah Maher, Megan Allen, Lisa Ainsworth

PRECS student projects

• Atmospheric carbon dioxide (CO₂) levels are increasing by 2.37 ppm year, and levels have increased from about 370 ppm in 2000 to about 420 ppm in 2023¹
• Increased CO₂ levels result in climate change, including increased temperatures and drought which impacts soybean crops
• Enhanced Rock Weathering (ERW) is the process of spreading basalt on fields to accelerate the natural reaction between rocks, CO2, and water²
• Enhanced Rock Weathering is a possible way to combat increasing CO₂ levels because of its carbon sequestration properties²

Acth Challenge: Stress Response Across Tadpole Development, Lauren W. Mobo, Lucas Jimenez, Lisa L. Surber-Cunningham, Eva K. Fischer

PRECS student projects

Research Questions

1. Do tadpoles excrete more cortisol or corticosterone?
2. Do tadpoles excrete more corticosterone after ACTH injections?
3. Does the ACTH stress response change across development?

Margalefidinium Polykrikoides Cyst Resuspension In The Lafayette River, A Sub-Tributary Of The Chesapeake Bay, Gabrielle Greaney, Eduardo Perez Vega, Katherine Crider, Dreux Chappell, Kimberly Powell, Richard Hale, Peter Bernhardt, Margaret Mulholland

Undergraduate Research Symposium

Harmful Algal Blooms are a collection of algae in a body of water that can cause serious environmental issues and health problems in both people and aquatic organisms. Dinoflagellates are microscopic, unicellular, and eukaryotic organisms that are well known for forming harmful algal blooms because of eutrophication. Coastal Virginia suffers from HABs in the Chesapeake Bay and its tributaries. A common species of dinoflagellate, known as Margalefidinium polykrikoides exists in the Chesapeake Bay. The purpose of this study is to determine if sediment resuspension produced by wind generated surface gravity waves cause cysts (dinoflagellate resting stages) to be suspended into …

Intellectual Disability Related To De Novo Germline Loss Of The Distal End Of The P-Arm Of Chromosome 17: A Case Report, Eden Pope, Matthew Huertas, Amar Paul, Braden Cunningham, Matthew Jennings, Ryan Perry, Stephanie Chavez, John A. Kriak, Kyle B. Bills, David W. Sant

Annual Research Symposium

Hypothesis/Purpose: In this report we present a case of a 20-year-old female with congenital intellectual disability, stunted growth, and hypothyroidism. Competitive genetic hybridization (CHG) revealed a loss of 17p13.3, and the deletion was not present in either parent. This deletion has not previously been characterized, but mutations on the p-arm of chromosome 17 are responsible for Miller-Dieker Syndrome and Isolated Lissencephaly Sequence, both of which share symptoms in common with the patient.

Methods: Peripheral mononuclear cells (PBMCs) were used for karyotyping and competitive genetic hybridization (CHG). Bioinformatic analysis was carried out using the Genome Data Viewer (ncbi.nlm.nih.gov/genome/gdv).

Results: Karyotype was …

Presentation Of Paired P- And Q-Arm Mosaic Deletions On Chromosome 18 Associated With Neuropsychiatric Symptoms, Jackson Nielsen, Laura Minor, John Dougherty Jr., Paige Moore, Kailee Edwards, Brandon Burrell, Jameson Williams, John A. Kriak, David W. Sant, Kyle B. Bills

Annual Research Symposium

No abstract provided.

Pillars Of Biology: 'The Genetical Evolution Of Social Behaviour, I And Ii'., Geoff Wild

Applied Mathematics Publications

None.