Genetics and Genomics Commons^™

Evaluation Of Deep Neural Network Prospr For Accurate Protein Distance Predictions On Casp14 Targets, Jacob A. Stern, Bryce Eric Hedelius, Olivia Fisher, Wendy M. Billings, Dennis Della Corte

Faculty Publications

The field of protein structure prediction has recently been revolutionized through the introduction of deep learning. The current state-of-the-art tool AlphaFold2 can predict highly accurate structures; however, it has a prohibitively long inference time for applications that require the folding of hundreds of sequences. The prediction of protein structure annotations, such as amino acid distances, can be achieved at a higher speed with existing tools, such as the ProSPr network. Here, we report on important updates to the ProSPr network, its performance in the recent Critical Assessment of Techniques for Protein Structure Prediction (CASP14) competition, and an evaluation of its …

Comparison Of Multiple Imputation Algorithms And Verification Using Whole-Genome Sequencing In The Cmuh Genetic Biobank, Ting-Yuan Liu, Chih-Fan Lin, Hsing-Tsung Wu, Ya-Lun Wu, Yu-Chia Chen, Chi-Chou Liao, Yu-Pao Chou, Dysan Chao, Hsing-Fang Lu, Ya-Sian Chang, Jan-Gowth Chang, Kai-Cheng Hsu, Fuu‑Jen Tsai

BioMedicine

A genome-wide association study (GWAS) can be conducted to systematically analyze the contributions of genetic factors to a wide variety of complex diseases. Nevertheless, existing GWASs have provided highly ethnic specific data. Accordingly, to provide data specific to Taiwan, we established a large-scale genetic database in a single medical institution at the China Medical University Hospital. With current technological limitations, microarray analysis can detect only a limited number of single-nucleotide polymorphisms (SNPs) with a minor allele frequency of >1%. Nevertheless, imputation represents a useful alternative means of expanding data. In this study, we compared four imputation algorithms in terms of …

Soil Bacteria In Urban Community Gardens Have The Potential To Disseminate Antimicrobial Resistance Through Horizontal Gene Transfer, Abdullah Ibn Mafiz, Yingshu He, Wei Zhang, Yifan Zhang

Agricultural and Environmental Sciences Faculty Research

Fifteen soil and 45 vegetable samples from Detroit community gardens were analyzed for potential antimicrobial resistance contamination. Soil bacteria were isolated and tested by antimicrobial susceptibility profiling, horizontal gene transfer, and whole-genome sequencing. High-throughput 16S rRNA sequencing analysis was conducted on collected soil samples to determine the total bacterial composition. Of 226 bacterial isolates recovered, 54 were from soil and 172 from vegetables. A high minimal inhibitory concentration (MIC) was defined as the MIC greater than or equal to the resistance breakpoint of Escherichia coli for Gram-negative bacteria or Staphylococcus aureus for Gram-positive bacteria. The high MIC was observed in …

Genomics Of Postprandial Lipidomics In The Genetics Of Lipid-Lowering Drugs And Diet Network Study, Marguerite R. Irvin, May E. Montasser, Tobias Kind, Sili Fan, Dinesh K. Barupal, Amit Patki, Rikki M. Tanner, Nicole D. Armstrong, Kathleen A. Ryan, Steven A. Claas, Jeffrey R. O’Connell, Hemant K. Tiwari, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Postprandial lipemia (PPL) is an important risk factor for cardiovascular disease. Inter-individual variation in the dietary response to a meal is known to be influenced by genetic factors, yet genes that dictate variation in postprandial lipids are not completely characterized. Genetic studies of the plasma lipidome can help to better understand postprandial metabolism by isolating lipid molecular species which are more closely related to the genome. We measured the plasma lipidome at fasting and 6 h after a standardized high-fat meal in 668 participants from the Genetics of Lipid-Lowering Drugs and Diet Network study (GOLDN) using ultra-performance liquid chromatography coupled …

Climate-Assisted Persistence Of Tropical Fish Vagrants In Temperate Marine Ecosystems, Laura Gajdzik, Thomas M. Decarlo, Adam Koziol, Mahsa Mousavi-Derazmahalleh, Megan Coghlan, Matthew W. Power, Michael Bunce, David Fairclough, Michael J. Travers, Glenn I. Moore, Joseph D. Dibattista

Fisheries Research Articles

Rising temperatures and extreme climate events are propelling tropical species into temperate marine ecosystems, but not all species can persist. Here, we used the heatwave-driven expatriation of tropical Black Rabbitfish (Siganus fuscescens) to the temperate environments of Western Australia to assess the ecological and evolutionary mechanisms that may entail their persistence. Population genomic assays for this rabbitfish indicated little genetic differentiation between tropical residents and vagrants to temperate environments due to high migration rates, which were likely enhanced by the marine heatwave. DNA metabarcoding revealed a diverse diet for this species based on phytoplankton and algae, as well …

Statistical Potentials For Rna-Protein Interactions Optimized By Cma-Es, Takayuki Kimura, Nobuaki Yasuo, Masakazu Sekijima, Brooke Lustig

Faculty Research, Scholarly, and Creative Activity

Characterizing RNA-protein interactions remains an important endeavor, complicated by the difficulty in obtaining the relevant structures. Evaluating model structures via statistical potentials is in principle straight-forward and effective. However, given the relatively small size of the existing learning set of RNA-protein complexes optimization of such potentials continues to be problematic. Notably, interaction-based statistical potentials have problems in addressing large RNA-protein complexes. In this study, we adopted a novel strategy with covariance matrix adaptation (CMA-ES) to calculate statistical potentials, successfully identifying native docking poses.

Otoliths Of South-Western Australian Fish: A Photographic Catalogue, Chris Dowling, Kim Smith, Elaine Lek, Joshua Brown

Fisheries Research Reports

Due to the species-specific nature of otoliths and given they are often the only part of the fish preserved when fish die, otolith catalogues can be used in numerous applications, such as diet studies in fish eating animals, including pinnipeds, fish and sea birds; archaeological purposes such as reconstructing indigenous people’s diets from otoliths found in middens or evolutionary history of fish species by comparing fossilized otoliths. Given the unique mixture of subtropical and temperate fish, including many endemic species that occur off the southwest corner of WA having a catalogue for this area is extremely important for people working …

Effects Of Copper Oxide (Cuo) And Zinc Oxide (Zno) Nano And Bulk Forms To Soil Fungal Community [Research Note], Jonathan Jaime Guerrero, Teresita Dalisay, Nolissa Organo, Ireneo Pangga

The Philippine Agricultural Scientist

The effects of copper oxide (CuO) and zinc oxide (ZnO) in bulk and nano forms on soil fungal community was determined. Lipa clay loam soil collected from the University of the Philippines Los Baños were placed in polypropylene bags and amended with 300 mg/L of CuO or ZnO in either forms. Colony-forming units (CFU) as well as average well color development (AWCD), functional richness and stress index were determined on day 1, 8 and 15 via indirect viable plate count method and community – level physiological profiling (CLPP). Fungal isolates from the same soil samples were likewise identified and tested …

Primary Industries Development Research Highlights 2021, Department Of Primary Industries And Regional Development, Tim Scanlon

Books & book chapters

The Primary Industries Development Research Highlights 2021 showcases the breadth and depth of the Department of Primary Industries and Regional Development’s research and development activities over the past several years.

Stories featured in Research Highlights 2021 stem from about 60 (of 140) current and recently-completed projects undertaken by the Department of Primary Industries and Regional Development’s (DPIRD) 1100 scientists, technical experts and economists throughout the State.

Explore our Research Highlights 2021.

The publication demonstrates the innovative and applicable research that DPIRD and its collaborators and investment partners deliver to Western Australia.

Download the Research Highlights 2021 here. Alternatively, …

Determining The Causal Link Of Honey Bee Gut Microbial Composition On Behavioral Maturation, Thi Lan Anh Nguyen, Cassondra L. Vernier, Gene E. Robinson

PRECS student projects

Emerging studies have supported the association between gut microbiome and host behaviors. However, it is unclear whether changes in the gut microbiome cause changes in host behaviors or vice versa. The European honey bee, Apis mellifera, is an excellent animal model for identifying the causal link between microbiome and behavioral changes over the lifetime of the host as the honey bee gut contains a simple microbiome composed of only nine bacterial taxa clusters. In honey bees, division of labor occurs through behavioral maturation where age determines what task a bee does. For example, older bees forage while younger bees perform …

The Effects Of Forest Management Practices On Wild Bee Abundance And Functional Traits, Harvey Vela, Marissa H. Chase, Alexandra Harmon-Threatt

PRECS student projects

Both wild and managed bees are in decline due to the combined and interactive effects of anthropogenic disturbances such as habitat loss and pesticide use. This is concerning because bees are important not only for the pollination of agricultural lands, but also for plants in both natural and managed landscapes. North America is home to about 4000 native species of bees, all of which can be further classified by various characteristics such as body size, nesting strategy, diet breadth, and sociality. These traits are considered functional traits because they can impact the function – pollination – bees contribute to an …

Mapping Traits In A Soybean Recombinant Inbred Line Population, Gabriela Ortiz, Chris Montes, Lisa Ainsworth

PRECS student projects

What is SoyFACE?

• Soybean Free Air Concentration Enrichment
• Field conditions mimic the future's atmosphere, temperature, and soil
• Connect physiological responses of crops under these conditions to their genes (aka mapping)

What is a recombinant inbred line population?

Method for mapping traits

• Two parents with variance in a certain trait (in this case, response to elevated carbon dioxide)
• The parents used: HS93-4118 and Loda
• Allows understanding of what regions (quantitative trait loci) respond to atmospheric change

Gems Student: Biofilm Production In Rhizobia Influences Clover Drought Response, Faith Smith, Kevin Ricks, Anthony Yannarell

PRECS student projects

Rhizobia serve as model system for examining how phenotypic changes in rhizobia influence the plant. Rhizobium-legume symbioses result in the formation of nodules on the root systems of host plants. Compositional and functional changes in microbial communities facilitate the host plants’ response to environmental stressors (i.e.; drought stress). Physiological effects of soil moisture on microbial communities result in specialized communities that can tolerate much low soil-moisture habitats while others are limited to high soil-moisture environments. This suggests microbial communities can assist in maintaining plant fitness when exposed to nonideal environmental conditions.

Can In Vitro Phenotypes Of Fusarium Graminearum Indicate In Planta Aggressiveness?, Harrison Hall, Santiago Mideros

PRECS student projects

What is Fusarium graminearum and what does it do? Fusarium graminearum (F. graminearum), causes Fusarium Head Blight (FHB) in wheat and barley. FHB results in crop destruction and toxins that are harmful for human and animal consumption. There are several populations of F. graminearum present in North America and rates of in planta aggressiveness and toxin levels vary by Population. Visually, it is difficult to determine the aggression or toxin levels of an infection. However, it may be possible to determine this through in vitro growth. By using in vitro growth, it may be possible to determine in planta aggressiveness …

Effects Of Color Polymorphism And Lighting Environments On Male Bluefin Killifish Behavior, Elijah Davis, Ratna Karatgi, Becky Fuller

PRECS student projects

Polymorphism occurs when multiple, discrete phenotypes exist for a trait within the same species. Polyphenism, a form of phenotypic plasticity, occurs when the environment in which animals develop determines which discrete, morph is expressed. Color polymorphism occurs in male killifish anal fins where red, yellow, and blue color morphs are observed. Populations are found in both spring and swamp habitats. A polyphenism is present where males develop blue anal fins when raised in tea-stained water, which mimics swamps. My goal was to determine whether this plasticity is adaptive. Do blue males have an advantage in swamp water? Previous research involving …

Behavioral Plasticity In Response To Environmental Cues In Poison Frog Tadpoles, Samta Oza, Lisa Surber, Eva K. Fischer

PRECS student projects

Behavioral plasticity is the ability of an organism to detect cues in their environment and respond by modifying behavior. In the wild, dyeing poison frog (Dendrobates tinctorius) tadpoles are delivered by their dads to pools that vary in predation risk, resource availability, con-and hetero-specific density. Conspecific density is especially important as these tadpoles are aggressive and often cannibalistic. Behavioral plasticity in response to environmental cues may help tadpoles to compete for resources and survival.

Bioinformatics Protocol For Assessing Contamination Level And Quality On Genomics Data Of Ensifer Meliloti, Soohyun Lee, Mario Ceròn Romero, Katy Heath

PRECS student projects

Nitrogen (N) fixing bacteria have a symbiotic relationship with host plants. The legume plants provide sugar, a product of its photosynthesis, to rhizobacteria. Rhizobacteria, one of the various N fixing bacteria, utilize the sugar for its energy source needed for conversion of N2into NH4+. The rhizobacteria would provide fixed nitrogen to legume plant for its growth in exchange of energy source. There are various symbiotic relationships between microbes and plants, and the Heath Lab is especially interested in relationship between rhizobacteria and legume plants. Various genomic methods to study rhizobacteria require sequence data in Heath Lab. However, there is high …

Evaluating The Efficiency In The Application Of Transformation And Crispr/Cas9 Gene-Editing Technique On Pumpkins, Min Rung (Nicole) Hsu, Maria Malvino, Sarah R. Hind

PRECS student projects

With the simplicity of a unique genome engineering mechanism, CRISPR/Cas9 gene-editing technique has amazed scholars with its effectiveness and efficiency in manipulating gene sequences.[1] As this advanced technique develops, its applications on different species arise as prominent subjects yet to be determined. Due to the great economic value of pumpkins and the need for examining CRISPR/Cas9 gene-editing efficiency, Casperita pumpkin (Cucurbita pepo) is chosen as the subject to be investigated on. Through introducing CRISPR/Cas9 system —for modifying phytoene desaturase (PDS) gene— into pumpkin seeds with Agrobacterium-mediated transformation, we regenerate transgenic pumpkins and expect to observe albino leaves in the transformed …

Sometimes, When It Rains It Pours: How Does Flooding Alter Plant-Herbivore Relationships?, Lauren R. Urie, Erinn Dady, Esther N. Ngumbi

PRECS student projects

Flooding, an under-studied abiotic stressor, creates hostile soil conditions, including hypoxia, which hinder the growth and development of plants. Plants respond to abiotic and biotic stressors. A common response is the production of volatile organic compounds (VOCs), which modulate stress responses and mediate plant and insect interactions. Flooding causes significant losses in crops of agricultural and economic importance including tomato. Understanding how flooding impacts plant growth, plant chemistry, caterpillar performance and chemical mediated plant-herbivore interactions will create fundamental knowledge to an emerging challenge brought about by climate change and inform pest management decisions post flooding events. This study investigated how …

Gems Student: Can Improved Diet Quality Alleviate Harmful Effects Of Pesticides And Viruses In Honey Bees?, Brittney Bailey, Ed Hsieh, Adam Dolezal

PRECS student projects

This study investigates interacting effects of viruses and pesticides within honey bees and how improved diet quality can mitigate these effects. This experiment allows a multivariate problem which exists in natural conditions of the honey bee community to be observed in a controlled cage bioassay. • The virus used in this study is the Israeli acute-paralysis virus (IAPV). Neonicotinoid thiamethoxam is the pesticide used in both trials shown in the ‘Results’ section. This experiment has not begun the use of the pyrethroid at this time.

The Genetics Of Aggression In Unique Three-Spined Stickleback Populations, Megan Tucker, Colby Behrens, Alison M. Bell

PRECS student projects

No abstract provided.

Biases And Blind-Spots In Genome-Wide Crispr-Cas9 Knockout Screens, Merve Dede

Dissertations and Theses (Open Access)

Adaptation of the bacterial CRISPR-Cas9 system to mammalian cells revolutionized the field of functional genomics, enabling genome-scale genetic perturbations to study essential genes, whose loss of function results in a severe fitness defect. There are two types of essential genes in a cell. Core essential genes are absolutely required for growth and proliferation in every cell type. On the other hand, context-dependent essential genes become essential in an environmental or genetic context. The concept of context-dependent gene essentiality is particularly important in cancer, since killing cancer cells selectively without harming surrounding healthy tissue remains a major challenge. The toxicity of …

Mixture Model Approaches To Integrative Analysis Of Multi-Omics Data And Spatially Correlated Genomic Data, Ziqiao Wang

Dissertations and Theses (Open Access)

Integrative genomic data analysis is a powerful tool to study the complex biological processes behind a disease. Statistical methods can model the interrelationships of the involved gene activities through jointly analyzing multiple types of genomic data from different platforms (vertical integration), or improve the power of a study through aggregating the same type of genomic data across studies (horizontal integration). In this dissertation, we propose statistical methods and strategies for integrative multi-omics data in association analysis of disease phenotypes, with an emphasis on cancer applications.

We develop a new strategy based on horizontal integration by leveraging publicly available datasets into …

Epigenome-Wide Association Study Of Kidney Function Identifies Trans-Ethnic And Ethnic-Specific Loci, Charles E. Breeze, Anna Batorsky, Mi Kyeong Lee, Mindy D. Szeto, Xiaoguang Xu, Daniel L. Mccartney, Rong Jiang, Amit Patki, Holly J. Kramer, James M. Eales, Laura Raffield, Leslie Lange, Ethan Lange, Peter Durda, Yongmei Liu, Russ P. Tracy, David Van Den Berg, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Mesa Multi-Omics Working Group, Kathryn L. Evans, William E. Kraus, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

BACKGROUND: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach.

METHODS: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. Ethnicity-stratified analyses were performed using linear …

An Ensemble Of The Icluster Method To Analyze Longitudinal Lncrna Expression Data For Psoriasis Patients, Suyan Tian, Chi Wang

Internal Medicine Faculty Publications

BACKGROUND: Psoriasis is an immune-mediated, inflammatory disorder of the skin with chronic inflammation and hyper-proliferation of the epidermis. Since psoriasis has genetic components and the diseased tissue of psoriasis is very easily accessible, it is natural to use high-throughput technologies to characterize psoriasis and thus seek targeted therapies. Transcriptional profiles change correspondingly after an intervention. Unlike cross-sectional gene expression data, longitudinal gene expression data can capture the dynamic changes and thus facilitate causal inference.

METHODS: Using the iCluster method as a building block, an ensemble method was proposed and applied to a longitudinal gene expression dataset for psoriasis, with the …

The Whole Is Greater Than Its Parts: Ensembling Improves Protein Contact Prediction, Wendy M. Billings, Connor J. Morris, Dennis Della Corte

Faculty Publications

The prediction of amino acid contacts from protein sequence is an important problem, as protein contacts are a vital step towards the prediction of folded protein structures. We propose that a powerful concept from deep learning, called ensembling, can increase the accuracy of protein contact predictions by combining the outputs of different neural network models. We show that ensembling the predictions made by different groups at the recent Critical Assessment of Protein Structure Prediction (CASP13) outperforms all individual groups. Further, we show that contacts derived from the distance predictions of three additional deep neural networks—AlphaFold, trRosetta, and ProSPr—can be substantially …

Chromosome Xq23 Is Associated With Lower Atherogenic Lipid Concentrations And Favorable Cardiometabolic Indices, Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni E. Ruotsalainen, James A. Perry, Paul S. De Vries, Jai G. Broome, James P. Pirruccello, Michael C. Honigberg, Krishna Aragam, Brooke Wolford, Jennifer A. Brody, Lucinda Antonacci-Fulton, Moscati Arden, Stella Aslibekyan, Themistocles L. Assimes, Christie M. Ballantyne, Lawrence F. Bielak, Joshua C. Bis, Brian E. Cade, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10⁻⁷²), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 …

Nanopore Guided Regional Assembly, Eleni Adam, Desh Ranjan, Harold Riethman

College of Sciences Posters

The telomeres are the “caps” of the chromosomes and their vital role is to protect them. Possible telomere dysfunction caused by telomere rearrangements can be fatal for the cell and result in age-related diseases, including cancer. The telomeres and subtelomeres are regions that are hard to investigate. The current technology cannot provide their complete sequence, instead the DNA is given in multiple pieces. Current methods of assembling the pieces of these regions are not accurate enough due to the region’s high variability and complex repeated patterns. We propose a hybrid assembly method, the NPGREAT, which utilizes two of the latest …

The Dna Cloud: Is It Alive?, Theodoros Bargiotas

LSU Doctoral Dissertations

In this analysis, I will firstly be presenting the current knowledge concerning the materiality of the internet based Cloud, which I will henceforth be referring to as simply the Cloud. For organisation purposes I have created two umbrella categories under which I place the ongoing research in the field. Scholars have been addressing the issue of Cloud materiality through broadly two prisms: sociological materiality and geopolitical materiality. The literature of course deals with the intricacies of the Cloud based on its present ferromagnetic storage functionality. However, developments in synthetic biology have caused private tech companies and University spin-offs to flirt …

Machine Learning Approaches For The Prediction Of Bone Mineral Density By Using Genomic And Phenotypic Data Of 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag

School of Medicine Faculty Research

The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Fractures in Men Study (n = 5130) was analyzed. Genetic risk score (GRS) was calculated from 1103 associated SNPs for each participant after a comprehensive genotype imputation. Data were normalized and divided into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and linear regression were used to develop BMD prediction models separately. Ten-fold …