Course-based undergraduate research experiences (CUREs) are strategically designed to advance novel research and integrate future professionals into the scientific community by making relevant discoveries through iteration, communication, and collaboration. With Universities also expanding online undergraduate degree programs that incorporate students who are otherwise unable to attend college, there is a demand for online asynchronous courses to train online students in authentic research, thereby leading to a more skilled, diverse, and inclusive workforce. In this case-study, a pilot CURE leveraging the data-intensive field of genomics was presented as an inclusive opportunity for asynchronous, online students to increase their research experience without having to commit to in person or extra-curricular assignments. This online CURE was designed to investigate the effects of trimming software on high-throughput sequencing data when analyzing sex differential gene expression. Project-based objectives were developed to asynchronously teach (1) the biology behind the research, (2) the coding needed to conduct the research, and (3) professional development tools to communicate research findings. Course effectiveness was evaluated qualitatively and quantitatively using weekly, open-response progress reports and an assessment administered before and after term completion. This pilot study exhibited that students can be successful in remote research experiences that incorporate channels for communication, bespoke and accessible learning materials, and open-response reports to monitor challenges and coping strategies. In this iteration, remote students demonstrated improved learning outcomes and self-reported improved confidence as researchers. In addition, students gained more realistic expectations to self-assess computational research skill-levels and self-identified adaptive coping strategies that are transferrable to future research projects. Overall, this framework for an online asynchronous CURE effectively taught students computational skills to conduct genomics research in addition to professional skills to transition to and thrive in the workforce.

Studying human genetic variation opens the possibility of understanding the details of population migrations, how humans develop and function, and why they get sick. To fully understand these things, genetic variation must be comprehensively characterized across globally diverse human populations and evolutionary knowledge can be used to inform studies of disease. In my dissertation I use computational methods to study human genetic variation. Each of my dissertation chapters focuses on a unique topic in the field of human evolutionary genetics. In the first chapter, I present PopInf, a computational pipeline to visualize principal components analysis output and assign ancestry to samples with unknown genetic ancestry, given a reference population panel of known origins. This pipeline facilitates visualization and identification of genetic ancestry across samples, so that this ancestry can be accounted for in studies of health and disease risk. In the next chapter, I investigate factors that shape patterns of genetic variation within and among four small-scale pastoral populations in northern Kenya. I find that geography predominantly shapes patterns of genetic variation in northern Kenyan human populations. In the next chapter, I investigate the extent to which Neanderthal introgression impacts liver cancer etiology. I find a pattern of overall enrichment of somatic mutations on Neanderthal introgressed haplotypes. Finally, through simulations, I investigate the effects of standard autosomal versus sex chromosome complement-informed alignment, variant calling and variant filtering strategies on variants called on the human sex chromosomes. I show that aligning to a reference genome informed on the sex chromosome complement of samples improves variant calling on the sex chromosome compared to aligning to a default reference, and variant calling is improved in males when calling the sex chromosomes haploid rather than diploid and when using haploid-based thresholds for filtering variants on the sex chromosomes. I provide recommendations for alignment, variant calling and filtering on the sex chromosomes based on these findings.

Substance use disorders (SUDs) are difficult to treat, in part because drug craving can be elicited by exposure to drug-associated environments and cues within the environment. Furthermore, this craving becomes more pronounced as abstinence progresses and it can take months to years for cue-elicited craving to finally wane. This important hallmark of addiction is modeled in rodents by exposing them to light/tone cues associated with the self-administration (SA) of cocaine. Cue exposure results in drug-seeking behavior, an animal analogue for drug craving. The overarching goal of this dissertation was to use the rodent SA model to explore the nucleus accumbens (NAc), a key brain region in the neural pathway of craving, and examine ribonucleic acid (RNA) expression that may underlie cocaine-seeking behavior. This includes messenger RNAs (mRNAs), which encode directly for proteins, and non-coding RNAs, which are important regulators of mRNA expression and cellular function. My first experiment aimed to identify non-coding microRNAs, which directly target and suppress mRNA expression, that are differentially expressed in animals with high or low cocaine-seeking behavior. In the second study, I compared RNA-sequencing (RNA-seq) datasets from rodent models of cocaine abstinence and developed a novel workflow to narrow candidate genes. In the final experiment, I utilized RNA-seq and reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) to identify and explore non-coding, circular RNAs that may influence gene regulatory networks and impact drug-seeking behavior. Overall, these studies promote our understanding of the neurogenetic mechanisms of craving and they suggest recommendations for improving the experimental design of future neurogenomic studies.

Tuberculosis (TB) is a deadly disease that infects millions of people annually. TB has a global distribution and remains a significant cause of mortality, despite decades of eradication campaigns and antibiotic development. TB is caused by genetically similar pathogens in the Mycobacterium tuberculosis complex (MTBC), and human infections are generally caused by human-associated strains, although humans can contract animal-associated strains. Skeletal evidence of TB on archaeological human skeletal remains and evolutionary dating of MTBC genomes reveal that TB has afflicted humans for approximately 6,000 years. Previous research has shown that MTBC pathogens were introduced into the Americas through a zoonotic transmission from seals and sea lions along the coasts of South America by at least 1000 CE. Characterizing the introduction and enigmatic intercontinental spread of a successful zoonotic transmission over hundreds of years provides valuable insight into the potential of zoonotic MTBC infections. Through the recovery and phylogenomic analysis of the first ancient MTBC genomes (n = 2) from pre-contact North America, I establish that there were multiple contemporaneous MTBC lineages circulating in human populations in the Americas. The high genomic diversity and deep divergence of strains from Mesoamerica suggest that TB was endemic in the region. To reveal the impact of TB within a Mesoamerican city, I examined human skeletons (n = 137) for evidence of disease from sacrificial and natural mortality burial contexts within Tlatelolco, a ceremonial precinct and interregional marketplace at the heart of the Aztec Empire (1300-1521 CE). I found that TB disproportionately affected sacrificial victims, who also exhibited evidence of food insecurity and resource inequality. These results mirror the socioeconomic patterns of TB distribution today. Further, I sampled broadly from sacrificial victims with skeletal evidence of TB not only for biomolecular confirmation of MTBC but also to uncover associations between skeletal TB manifestation and ability to recover ancient MTBC DNA. I identify 10 additional cases of MTBC at Tlatelolco and link ancient MTBC DNA recovery to TB skeletal lesion characteristics and age-at-death of the infected individual. Overall, this body of work combines paleogenomic and paleopathological data to highlight the impact of ancient TB zoonoses.

The regulation of gene expression, timing, location, and amount of a given project, ultimately affects the cellular structure and function. More broadly, gene regulation is the basis for cellular differentiation and development. However, gene expression is not uniform among individuals and varies greatly between genetic males and females. Males are hemizygous for the X chromosome, whereas females have two X chromosome copies. Contributing to the sex differences in gene expression between males and females are the sex chromosomes, X and Y. Gene expression differences on the autosomes and the X chromosome between males (46, XY) and females (46, XX) may help inform on the mechanisms of sex differences in human health and disease. For example, XX females are more likely to suffer from autoimmune diseases, and genetic XY males are more likely to develop cancer. Characterizing sex-specific gene expression among human tissues will help inform the molecular mechanisms driving sex differences in human health and disease. This dissertation covers a range of critical aspects in gene expression. In chapter 1, I will introduce a method to align RNA-Seq reads to a sex chromosome complement informed reference genome that considers the X and Y chromosomes' shared evolutionary history. Using this approach, I show that more genes are called as sex differentially expressed in several human adult tissues compared to a default reference alignment. In chapter 2, I characterize gene expression in an early formed tissue, the human placenta. The placenta is the DNA of the developing fetus and is typically XY male or XX female. There are well-documented sex differences in pregnancy complications, yet, surprisingly, there is no observable sex difference in expression of innate immune genes, suggesting expression of these genes is conserved. In chapter 3, I investigate gene expression in breast cancer cell lines. Cancer arises in part due to the disruption of gene expression. Here I show 19 tumor suppressor genes become upregulated in response to a synthetic protein treatment. In chapter 4, I discuss gene and allele-specific expression in Nasonia jewel wasp. Chapter 4 is a replication and extension study and discusses the importance of reproducibility.