Genetics and Genomics Commons^™

Methylation-Dependent Regulatory Pathway That Governs The Stability Of The Sox Family Proteins And Related Developmental Regulators, Keshari Gayathri Rajawasam

UNLV Theses, Dissertations, Professional Papers, and Capstones

The SRY (Sex-determining Region Y) protein is a transcription factor encoded on the Y chromosome and is the key regulator responsible for initiating male sex determination in mammals. During early embryonic development, SRY activates the genetic program that leads to testis formation by promoting the expression of downstream genes involved in male gonadal differentiation. Mutations or dysregulation of SRY can lead to disorders of sex development such as male-to-female sex conversion and hermaphroditism, highlighting its critical role in sex determination.

SRY belongs to the SOX (SRY-related HMG-box) family of transcription factors, which includes the proteins SOX1, SOX2 and SOX3. These …

The Role Of The Virb Ligand Ctp In The Molecular Mechanism Of Transcriptional Anti-Silencing In Shigella Flexneri, Taylor M. Gerson, Monika M A Karney, Helen Wing

Life Sciences Faculty Research

In bacteria, nucleoid-structuring proteins bind and constrain DNA, often leading to transcriptional silencing. In Shigella spp., the histone-like nucleoid-structuring protein H-NS silences many genes on the large virulence plasmid. Upon a shift to human body temperature, VirB, a DNA-binding protein and key transcriptional regulator of the Shigella virulence cascade, is produced. VirB counteracts H-NS-mediated transcriptional silencing and belongs to a fast-evolving clade of the ParB superfamily. Like other ParB proteins, VirB binds the ligand CTP. While CTP is essential for the anti-silencing activity of VirB, the role of CTP in the mechanism of VirB-dependent anti-silencing has yet to be …

Computational Tools For Tandem Repeat Detection Using Long-Read Sequencing, Qian Liu, Jincheng Li

Life Sciences Faculty Research

Tandem repeats (TRs) play essential roles in a variety of biological functions, and their abnormal expansions are significantly implicated in phenotypic variation and cause >60 human diseases. However, long TR regions cannot be reliably detected using short-read sequencing, and long-read sequencing enables accurate genome-wide detection of TRs. In recent years, various computational tools have been developed to detect and genotype TRs from long-read data. In this survey, we systematically categorize and review 39 computational tools designed for TR detection, visualization and functional interpretation. We discuss their strengths and limitations for TR detection from long-read sequencing data, highlighting current challenges and …

Investigating The Influence Of Environmental Stressors To Exopolysaccharide Production In Soil Cyanobacteria: Genomic And Physiological Perspectives, Benjy Sedano-Herrera

UNLV Theses, Dissertations, Professional Papers, and Capstones

Cyanobacteria are photosynthetic microbes with essential roles in Earth’s ecosystems. The secretion of long–chain polysaccharides, known as exopolysaccharides (EPS), is a key trait facilitating cyanobacterial adaptation to diverse ecosystems. Genomics studies have shown that aquatic cyanobacteria harbor multiple gene copies encoding EPS export proteins, likely conferring a selective advantage in lakes or oceans. In addition, physiological experiments showed that nutrient limitation in aquatic habitats influences EPS production, affecting cyanobacterial fitness. However, whether terrestrial cyanobacteria also harbor multiple EPS-related genes and how nutrient limitation impacts their EPS production is not well understood.In the first chapter of my thesis, we investigated the …

Competence Protein Comea And Oxidative Stress In Bacillus Subtilis Stationary Phase Mutagenesis, Angeline Roldan, Sam Schauf

Undergraduate Research Symposium Posters

Stationary Phase Mutagenesis is a process where a bacterium can accumulate mutations in the absence of cell division. This may occur via competent DNA uptake and oxidant DNA damage and repair. ComEA is a transmembrane protein in B. subtilis that is required for the transport of exogenous DNA into the cell. (Figure 1)

Delineating Genetic Influences On Neurodegenerative Disorders And Infectious Diseases Through Advanced Computational Methods, Xiaowei Zhuang

UNLV Theses, Dissertations, Professional Papers, and Capstones

Genetics plays a critical role in understanding the molecular mechanisms underlying neurodegenerative disorders and pathogen evolution in infectious diseases. For example, identifying genetic variants associated with a disease phenotype uncovers functional pathways that could lead to potential drug targets and therapeutic interventions. In addition, tracking the genetic evolution of pathogens enables early detection and warning of infectious disease outbreaks. In both applications, given the large amount of genetic data, advanced computational methods, including longitudinal and multivariate models, could significantly boost the statistical power and capture interrelationships among traits, environmental factors and genetic influences. This dissertation focuses on four applications of …

Glial-Specific Genes Are Strongly Associated With Alzheimer's Disease By Gene-Based Polygenic Risk Score Analysis, Jennifer Zheng, Faria Tavacoli, Tyrell Pratt, Alice Lee, Tingwei Liu, Jingchun Chen

Undergraduate Research Symposium Posters

Methods: Gene-based PRSs were constructed in AD cases and controls within each gene of the glial cells, according to the GWAS summary statistics of European ancestry. In detail, gene-based PRSs were first calculated for each glial cell type-specific gene for AD cases and controls in the discovery dataset (ADc1234ADA) using PRSet software. A meta-analysis with a fixed model was performed when the signal in both datasets was in the same direction. Bonferroni corrections for multiple testing (at α = .05) were used to determine significance within each of the three glial groups. Forest plots were used to visualize the results …

Pathway-Based Polygenic Risk Score Analysis Of Brain Glial Indicates Cell-Type-Specific Roles In Alzheimer's Disease, Tyrell Pratt, Alice Lee, Jennifer Zheng, Faria Tavacoli, Hayley Ho, Tingwei Liu, Jingchun Chen

Undergraduate Research Symposium Posters

Background: Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by progressive cognitive decline and extensive brain pathology, including amyloid plaques, neurofibrillary tangles, and neuroinflammation. This study aims to identify any glial cell type-specific pathways associated with AD.

Methods: We first investigated the correlation between AD and the genetic risk of glia-specific pathways using pathway-based polygenic risk score (PRS) with PRSet software in the discovery data (ADc1234ADA) adjusted by the top two principal components (PC1, PC2) (Model 1), followed by additional adjustment with sex, age, and APOE ε4 count in Model 2. Further PRSet analyses were replicated in independent data …

Disruption Of The Oswrky71 Transcription Factor Gene Results In Early Rice Seed Germination Under Normal And Cold Stress Conditions, Santiago Bataller, James A. Davis, Lingkun Gu, Sophia Baca, Gaelan Chen, Azeem Majid, Anne J. Villacastin, Dylan Barth, Mira V. Han, Paul J. Rushton, Qingxi J. Shen

Life Sciences Faculty Research

Background

Early seed germination in crops can confer a competitive advantage against weeds and reduce the time to maturation and harvest. WRKY transcription factors regulate many aspects of plant development including seed dormancy and germination. Both positive and negative regulators of seed germination have been reported in many plants such as rice and Arabidopsis. Using a transient expression system, we previously demonstrated that OsWRKY71 is a negative regulator of gibberellin (GA) signaling in aleurone cells and likely forms a “repressosome” complex with other transcriptional repressors. Hence, it has the potential to impact seed germination properties.

Results

In this study, we …

Personalized Nutrition: Tailoring Dietary Recommendations Through Genetic Insights, Saiful Singar, Ravinder Nagpal, Bahram H. Arjmandi, Neda S. Akhavan

Kinesiology and Nutrition Sciences Faculty Research

Personalized nutrition (PN) represents a transformative approach in dietary science, where individual genetic profiles guide tailored dietary recommendations, thereby optimizing health outcomes and managing chronic diseases more effectively. This review synthesizes key aspects of PN, emphasizing the genetic basis of dietary responses, contemporary research, and practical applications. We explore how individual genetic differences influence dietary metabolisms, thus underscoring the importance of nutrigenomics in developing personalized dietary guidelines. Current research in PN highlights significant gene–diet interactions that affect various conditions, including obesity and diabetes, suggesting that dietary interventions could be more precise and beneficial if they are customized to genetic profiles. …

A Timeline Of Klinefelter’S Syndrome, Xxy, Emma Chevalier, Tyler Venegas, Mary Salibi

Undergraduate Research Symposium Posters

Klinefelter Syndrome (KS) is a non-mendelian chromosomal disorder consisting of supernumerary X chromosomes in males, 80% of which manifest as the 47,XXY karyotype. The resulting gene dosage abnormalities affect both cognitive and physical development, with variable expressivity. The disease was first described by Harry Klinefelter in 1942 and was thought to be an endocrine disorder until the late 1950s, when karyotyping of affected individuals revealed an extra X chromosome.

(It is the most common sex chromosome aneuploidy (1:500 males) and the most common cause of azoospermia. The phenotype for KS is highly contested due to its extremely variable expressivity and …

A Genetic Screen For Metabolic Modulators In Drosophila Melanogaster, Victoria Campos, Logan Kazimer, Brandon Polimeni, Katelyn Niswonger, Matthew Meiselman

Undergraduate Research Symposium Posters

When environments become unfavorable, to preserve energy, animals will attenuate reproduction and limit growth. This evolutionary strategy requires perceiving and assessing a complex environment, a long-standing role of the nervous system. However, the nervous system’s control over endocrine states remains a monumental challenge. Here, we propose to exploit the genetic accessibility and cellular resolution readily found in Drosophila melanogaster, to fully explore how the brain controls metabolic and reproductive states. This project relies on the Meiselman Lab’s established unbiased neural activation screen, which located new neural circuits that participate in metabolic control. The project proposes the use of the split …

Sequestered Sequences: A Bioinformatic Approach To The Forgotten Genome, Dylan Barth

UNLV Theses, Dissertations, Professional Papers, and Capstones

As high throughput sequencing generates ever increasing amounts of genetic and epigenetic data new lines of inquiry open up in the field of genomic research. In this thesis, we discuss three ways in which we can utilize public databases of next generation genomic data in order to study areas of the genome previously ignored by traditional approaches. These include the study of linker regions between domains of proteins, indirect enhancers that do not strongly contact promoters of genes they regulate, and transposon-derived enhancer elements. The work uncovers many exceptions to known biological principles, and adds nuance to our understanding of …

The Genetic Relationship Between Peripheral Inflammation And Alzheimer’S Disease, Davis Cammann

UNLV Theses, Dissertations, Professional Papers, and Capstones

Alzheimer’s disease (AD) is the leading cause of dementia worldwide, and has become an ever-present problem in aging populations. An increasing body of evidence suggests that neuroinflammation is one of the key drivers of AD pathology. One overlooked contributor to this burden is peripheral inflammation throughout the body. Due to increased permeability of the blood-brain-barrier (BBB) in older age, inflammatory plasma proteins and immune cells infiltrate the CNS and drive neuroinflammation through interactions with neurons and glia. In addition, age-related changes in the composition of gut microbiome taxa lead to increased gut permeability and inflammatory burden. Because inflammatory factors are …

The Application Of Single-Cell Rna-Sequencing Data Analysis To Assess Changes In Gene Expression, Mark Vincent Gatan, Hazel Jane Cadiz

Undergraduate Research Symposium Posters

Human diseases can be analyzed by studying the dysregulation of gene expression. This can be applied to: Alzheimer’s disease (AD), age-related changes in immune cells and neurons, and COVID-19. We sought to develop an scRNA-seq bioinformatics pipeline that would support future studies on gene expression in AD.

Electrochemical Inactivation Of Tobacco Mosaic Virus: A Novel Vaccine Method, Angelica Diaz

Undergraduate Research Symposium Posters

We tested the effectiveness of using electrochemistry to irreversibly damage Tobacco Mosaic Virus (TMV). Hypothesis: By utilizing the acidic properties of DNA and RNA, viral genetic material can be irreversibly and selectively damaged using electrochemical methods. Technique could assist in development of highly targeted and effective vaccines.

Retrospective Varying Coefficient Association Analysis Of Longitudinal Binary Traits, Gang Xu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Many genetic studies contain rich information on longitudinal phenotypes that require powerful analytical tools for optimal analysis. Genetic analysis of longitudinal data that incorporates temporal variation is important for understanding the genetic architecture and biological variation of complex diseases. Most of the existing methods assume that the contribution of genetic variants is constant over time and fails to capture the dynamic pattern of disease progression. However, the relative influence of genetic variants on complex traits fluctuates over time.We developed several tests to fill the gap of analyzing time-varying genetic effects in longitudinal GWAS for binary traits. First, we propose a …

The Utilization Of Crispr/Cas9 In Monogenic Disorders Authors, Shauna M. Mellor

Spectra Undergraduate Research Journal

This paper is a literature review of various scientific research papers, exploring the recent scientific advancement in the field of genetic engineering. The research presented is a foundational tool, building awareness on the implications of CRISPR/ Cas9 technology. CRISPR/ Cas9 was first discovered through the study of bacterial immune systems, fighting against viral infections. Manipulation of the Cas9 protein would eventually lead to target specific, gene-altering medicines for human organisms. CRISPR/ Cas 9 technology has begun to show promise as an effective treatment for certain monogenic disorders. Despite this, time is required before its efficacy as a proven genetic treatment …

Strategic Plan For Genomic Competencies Into Undergraduate Nursing Curriculum, Myerann Royce M. Mangalino

UNLV Theses, Dissertations, Professional Papers, and Capstones

Problem: As genomics research continues to grow in medicine and in popular culture, an educational gap in nursing is inevitable. Nurses must have a strong understanding of genetics and genomics to effectively integrate them into current practice.Objectives: The objective is to identify gaps in the current undergraduate curriculum and build threads that may be incorporated into the current curriculum to fill the identified gaps. Methods: The foundation of this project was the Essentials of Genetic and Genomic Nursing: Competencies, Curricula Guidelines, and Outcome Indicators, 2nd Edition (Consensus Panel on Genetic/Genomic Nursing Competencies, 2008). A strategic plan was created to increase …

Improving Self-Efficacy And Knowledge While Reducing Anxiety In High-Risk Breast Cancer Patients Through Standardized Education, Shelley Miles

UNLV Theses, Dissertations, Professional Papers, and Capstones

Breast cancer is the leading cause of death of women in the United States. Patients at high risk for developing cancer are more easily identified in today’s world. Early identification might be due to strong family history or genetic mutations, such as BRCA1 or BRCA2. Screening and risk reduction guidelines have been developed over recent years for these patients. Adherence to these guidelines continues to be a problem. The factors stemming from this problem include lack of knowledge about being high-risk, understanding the guidelines, and anxiety and depression about the perceived risk of developing breast cancer. These factors can cause …

Increasing Genetic Testing Rates To Improve Early Detection And Prevention Of Breast And Ovarian Cancer In Women, Makensey Beth Durrant

UNLV Theses, Dissertations, Professional Papers, and Capstones

Screening rates for cancer related genetic mutations are low in the primary care setting, despite evidence-based guidelines recommending screening in all patients who meet criteria. Genetic mutations, such as the breast cancer susceptibility 1 and 2 (BRCA1/2) gene mutations, drastically increase breast and ovarian cancer risk in patients. The United States Preventive Services Task Force (USPSTF) and the National Comprehensive Cancer Network (NCCN) provide evidence-based guidelines on criteria for genetic testing in women at risk for breast and ovarian cancer related gene mutations. Primary care providers (PCPs), including advanced practice registered nurses (APRNs), are at the front lines of preventative …

The Antarctic Weddell Seal Genome Reveals Evidence Of Selection On Cardiovascular Phenotype And Lipid Handling, Hyun Ji Noh, Jason Turner-Maier, S. Anne Schulberg, Michael L. Fitzgerald, Jeremy Johnson, Kaitlin N. Allen, Luis A. Huckstadt, Annabelle J. Batten, Jessica Alfoldi, Daniel P. Costa, Elinor K. Karlsson, Warren M. Zapol, Emmanuel S. Buys, Kerstin Lindbald-Toh, Allyson G. Hindle

Life Sciences Faculty Research

The Weddell seal (Leptonychotes weddellii) thrives in its extreme Antarctic environment. We generated the Weddell seal genome assembly and a high-quality annotation to investigate genome-wide evolutionary pressures that underlie its phenotype and to study genes implicated in hypoxia tolerance and a lipid-based metabolism. Genome-wide analyses included gene family expansion/contraction, positive selection, and diverged sequence (acceleration) compared to other placental mammals, identifying selection in coding and non-coding sequence in five pathways that may shape cardiovascular phenotype. Lipid metabolism as well as hypoxia genes contained more accelerated regions in the Weddell seal compared to genomic background. Top-significant genes were SUMO2 and EP300; …

Rare And Low Frequency Genomic Variants Impacting Neuronal Functions Modify The Dup7q11.23 Phenotype, Farah Qaiser, Yue Yin, Carolyn B. Mervis, Colleen A. Morris, Bonita P. Klein-Tasman, Elaine Tam, Lucy R. Osborne, Ryan K.C. Yuen

School of Medicine Faculty Research

© 2021, The Author(s). Background: 7q11.23 duplication (Dup7) is one of the most frequent recurrent copy number variants (CNVs) in individuals with autism spectrum disorder (ASD), but based on gold-standard assessments, only 19% of Dup7 carriers have ASD, suggesting that additional genetic factors are necessary to manifest the ASD phenotype. To assess the contribution of additional genetic variants to the Dup7 phenotype, we conducted whole-genome sequencing analysis of 20 Dup7 carriers: nine with ASD (Dup7-ASD) and 11 without ASD (Dup7-non-ASD). Results: We identified three rare variants of potential clinical relevance for ASD: a 1q21.1 microdeletion (Dup7-non-ASD) and two deletions which …

Dual Activities Of Acc Synthase: Novel Clues Regarding The Molecular Evolution Of Acs Genes, Chang Xu, Bowei Hao, Gongling Sun, Yuanyuan Mei, Lifang Sun, Yunmei Sun, Yibo Wang, Yongyan Zhang, Wei Zhang, Mengyuan Zhang, Yue Zhang, Dan Wang, Zihe Rao, Xin Li, Jeffery Shen, Ning Ning Wang

Life Sciences Faculty Research

Ethylene plays profound roles in plant development. The rate-limiting enzyme of ethylene biosynthesis is 1-aminocyclopropane-1-carboxylate (ACC) synthase (ACS), which is generally believed to be a single-activity enzyme evolving from aspartate aminotransferases. Here, we demonstrate that, in addition to catalyzing the conversion of S-adenosyl-methionine to the ethylene precursor ACC, genuine ACSs widely have Cβ-S lyase activity. Two N-terminal motifs, including a glutamine residue, are essential for conferring ACS activity to ACS-like proteins. Motif and activity analyses of ACS-like proteins from plants at different evolutionary stages suggest that the ACC-dependent pathway is uniquely developed in seed plants. A putative catalytic mechanism for …

Prediction Of Diabetes Using Logistic Regression And Ensemble Techniques, Priyanka Rajendra, Shahram Latifi

Electrical & Computer Engineering Faculty Research

Background Logistic regression is a classification model in machine learning, extensively used in clinical analysis. It uses probabilistic estimations which helps in understanding the relationship between the dependent variable and one or more independent variables. Diabetes, being one of the most common diseases around the world, when detected early, may prevent the progression of the disease and avoid other complications. In this work, we design a prediction model, that predicts whether a patient has diabetes, based on certain diagnostic measurements included in the dataset, and explore various techniques to boost the performance and accuracy. Methods Logistic Regression is the main …

Complete Genome Sequences Of Cluster A6 And Cluster G1 Mycobacterium Smegmatis Phages Hoot And Jolene, Jon Thompson, Asli Özdemir, Arsen M. Topchyan, Maxwell Torosian, Victoria Z. Thymianos, Angelica Eagle, Juliana Mccormick, Leon Kyle G. Boyles, Azucena A. Benito, Kurt Regner, Christy Strong, Philippos K. Tsourkas

Life Sciences Faculty Research

We present the complete genome sequences of Mycobacterium smegmatis phages Hoot and Jolene, isolated in Las Vegas, NV. The phages were isolated and annotated by students enrolled in an undergraduate research course at the University of Nevada, Las Vegas. Hoot is a cluster A6 mycobacteriophage, while Jolene is in cluster G1.

Artificial Image Objects For Classification Of Schizophrenia With Gwas-Selected Snvs And Convolutional Neural Network, Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen

School of Medicine Faculty Research

In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophrenia as a case study, we demonstrate the principles and their applications with 3 datasets. With 4,096 SNVs, the CNN models achieved an accuracy of 0.678 ± 0.007 and an AUC of 0.738 ± 0.008 for the diagnosis phenotype. With 44,100 SNVs, the models achieved class-specific accuracies of 0.806 ± 0.032 and 0.820 …

Deciphering Symbiotic Interactions Of “Candidatus Aenigmarchaeota” With Inferred Horizontal Gene Transfers And Co-Occurrence Networks, Yu-Xian Li, Yang-Zhi Rao, Yan-Ling Qi, Yan-Ni Qu, Ya-Ting Chen, Jian-Yu Jiao, Wen-Sheng Shu, Hongchen Jiang, Brian P. Hedlund, Zheng-Shuang Hua, Wen-Jun Li

Life Sciences Faculty Research

"Candidatus Aenigmarchaeota"("Ca. Aenigmarchaeota") represents one of the earliest proposed evolutionary branches within the Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota, and Nanohaloarchaeota (DPANN) superphylum. However, their ecological roles and potential host-symbiont interactions are still poorly understood. Here, eight metagenome-assembled genomes (MAGs) were reconstructed from hot spring ecosystems, and further in-depth comparative and evolutionary genomic analyses were conducted on these MAGs and other genomes downloaded from public databases. Although with limited metabolic capacities, we reported that "Ca. Aenigmarchaeota"in thermal environments harbor more genes related to carbohydrate metabolism than "Ca. Aenigmarchaeota"in nonthermal environments. Evolutionary analyses suggested that members from the Thaumarchaeota, Aigarchaeota, Crenarchaeota, and Korarchaeota …

Comparative Genomics Reveals Thermal Adaptation And A High Metabolic Diversity In “Candidatus Bathyarchaeia”, Yan-Ling Qi, Paul N. Evans, Yu-Xian Li, Yang-Zhi Rao, Yan-Ni Qu, Sha Tan, Jian-Yu Jiao, Ya-Ting Chen, Brian P. Hedlund, Wen-Sheng Shu, Zheng-Shuang Hua, Wen Jun Li

Life Sciences Faculty Research

"Candidatus Bathyarchaeia"is a phylogenetically diverse and widely distributed lineage often in high abundance in anoxic submarine sediments; however, their evolution and ecological roles in terrestrial geothermal habitats are poorly understood. In the present study, 35 Ca. Bathyarchaeia metagenome-assembled genomes (MAGs) were recovered from hot spring sediments in Tibet and Yunnan, China. Phylogenetic analysis revealed all MAGs of Ca. Bathyarchaeia can be classified into 7 orders and 15 families. Among them, 4 families have been first discovered in the present study, significantly expanding the known diversity of Ca. Bathyarchaeia. Comparative genomics demonstrated Ca. Bathyarchaeia MAGs from thermal habitats to encode a …

Highly Contiguous Assemblies Of 101 Drosophilid Genomes, Bernard Y. Kim, Jeremy R. Wang, Danny E. Miller, Olga Barmina, Emily Delaney, Ammon Thompson, Aaron A. Comeault, David Peede, Emmanuel R.R. D’Agostino, Julianne Pelaez, Jessica M. Aguilar, Diler Haji, Teruyuki Matsunaga, Ellie E. Armstrong, Molly Zych, Yoshitaka Ogawa, Marina Stamenković-Radak, Mihailo Jelić, Marija Savić Veselinović, Marija Tanasković, Pavle Erić, Jian Jun Gao, Takehiro K. Katoh, Masanori J. Toda, Hideaki Watabe, Masayoshi Watada, Jeremy S. Davis, Leonie C. Moyle, Giulia Manoli, Enrico Bertolini, Vladimír Košťál, R. Scott Hawley, Aya Takahashi, Corbin D. Jones, Donald K. Price, Noah Whiteman, Artyom Kopp, Daniel R. Matute, Dmitri A. Petrov

Life Sciences Faculty Research

Over 100 years of studies in Drosophila melanogaster and related species in the genus Drosophila have facilitated key discoveries in genetics, genomics, and evolution. While high-quality genome assemblies exist for several species in this group, they only encompass a small fraction of the genus. Recent advances in long-read sequencing allow high-quality genome assemblies for tens or even hundreds of species to be efficiently generated. Here, we utilize Oxford Nanopore sequencing to build an open community resource of genome assemblies for 101 lines of 93 drosophilid species encompassing 14 species groups and 35 sub-groups. The genomes are highly contiguous and complete, …