Genetics and Genomics Commons^™

The Effect Of Imidacloprid On Honey Bee Queen Fecundity, Jamilyn Martin, Julia D. Fine, Amy Cash-Ahmed, Gene E. Robinson

PRECS 2018

Imidacloprid is a neonicotinoid insecticide commonly used in agricultural settings to control insect pests by acting as an agonist of acetylcholine receptors and inducing paralysis and mortality. In small doses, imidacloprid can cause loss of memory and foraging ability along with impaired learning and a lowered immune response in western honey bees (Apis mellifera). Effects of neonicotinoid insecticides on colony reproduction have been documented including decreased colony expansion, queen failure and replacement, and decreased queen egg laying.

For this study, we examined the effects of imidacloprid on the fecundity of queen bees when their worker attendants were exposed to low …

Methamphetamine Effects On Adolescent Brain Development In Both Sexes, Jessica Alvarez, Sarah Westbrook, Joshua Gulley

PRECS 2018

Vulnerability to drug addiction in adolescents (ADOLs) may lead to faster rates of addiction and higher rates of relapse. The brain is developing in adolescence, including the prefrontal cortex (PFC) and the nucleus accumbens (NAc), which are regions involved in self-control and reward systems, respectively. Further, females, both human and rat models, often exhibit faster rates of addiction than males. Research from this lab has found previously that adult rats of both sexes exposed to amphetamine during ADOL had reduced expression of dopamine D₁ receptors (D₁R) in the medial PFC but no change in the NAc. The …

Finding Dex-1 Phenotype Suppressing Components, Matthew Barnum, Kristen Flatt, Nathan E. Schroeder

PRECS 2018

Caenorhabditis elegans is a species of microscopic round worm that has been used as a genetic model for over forty years. When in an adverse environment, C. elegans larvae cease reproductive development and enter the stress-resistant dauer stage.

dex-1 mutants of C. elegans are deficient in this protein, resulting in shortened dendrites and a sensitivity to sodium dodecyl sulfate (SDS). SDS will kill any non-dauer C. elegans, but wild type dauers will survive well past the standard concentration of 1% SDS. Thus, treatment with SDS is commonly how labs isolate dauers. By contrast, dex-1 dauers (Fig.3) will …

Phosphorus Vs. Mycorrhiza: Mitigation Of Lead Uptake In Tomatoes, Helen Senerchia, Liz Miernicki, Andrew Margenot

PRECS 2018

This study seeks to understand how the mutualist relationship between arbuscular mycorrhizal fungi (AM) and Solanum lycopersicum (tomato) affects the uptake and distribution of iron (Pb) found in soil by tomatoes and how the effects of phosphorous (P) application may pose a trade-off between AM and P mitigation of bioavailability of Pb.

Water Flow And Biofilm Cover Influence Environmental Dna Detection In Recirculating Streams, Arial Shogren, Jennifer L. Tank, Scott P. Egan, Olivia August, Emma J. Rosi, Brittany R. Hanrahan, Mark A. Renshaw, Crysta A. Gantz, Diogo Bolster

Environmental Science and Management Faculty Publications and Presentations

The increasing use of environmental DNA (eDNA) for determination of species presence in aquatic ecosystems is an invaluable technique for both ecology as a field and for the management of aquatic ecosystems. We examined the degradation dynamics of fish eDNA using an experimental array of recirculating streams, also using a “nested” primer assay to estimate degradation among eDNA fragment sizes. We introduced eDNA into streams with a range of water velocities (0.1–0.8 m s–1) and substrate biofilm coverage (0–100%) and monitored eDNA concentrations over time (∼10 d) to assess how biophysical conditions influence eDNA persistence. We found that the presence …

Inference And Analysis Of Multilayered Mirna-Mediated Networks In Cancer, Duc Do

Dissertations (1934 -)

MicroRNAs (miRNAs) are small noncoding transcripts that can regulate gene expression, thereby controlling diverse biological processes. Aberrant disruptions of miRNA expression and their interactions with other biological agents (e.g., coding and noncoding transcripts) have been associated with several types of cancer. The goal of this dissertation is to use multidimensional genomic data to model two different gene regulation mechanisms by miRNAs in cancer. This dissertation results from two research projects. The first project investigates a miRNA-mediated gene regulation mechanism called competing endogenous RNA (ceRNA) interactions, which suggests that some transcripts can indirectly regulate one another's activity through their interactions with …

Polygenic Scores For Metabolic Traits And Related Drug Prescriptions In The Michigan Genomics Initiative, Samuel K. Handelman, Xiaomeng Du, Yanhua H. Chen, Elizabeth K. Speliotes

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Stochastic Viral Evolution: A Multiscale Wright Fisher Model, Marco Hamins-Puertolas

Biology and Medicine Through Mathematics Conference

No abstract provided.

Recta: Regulon Identification Based On Comparative Genomics And Transcriptomics Analysis, Xin Chen, Anjun Ma, Adam Mcdermaid, Hanyuan Zhang, Chao Liu, Huansheng Cao, Qin Ma

School of Computing: Faculty Publications

Regulons, which serve as co-regulated gene groups contributing to the transcriptional regulation of microbial genomes, have the potential to aid in understanding of underlying regulatory mechanisms. In this study, we designed a novel computational pipeline, regulon identification based on comparative genomics and transcriptomics analysis (RECTA), for regulon prediction related to the gene regulatory network under certain conditions. To demonstrate the effectiveness of this tool, we implemented RECTA on Lactococcus lactis MG1363 data to elucidate acid-response regulons. A total of 51 regulons were identified, 14 of which have computational-verified significance. Among these 14 regulons, five of them were computationally predicted to …

Fine Grained Compositional Analysis Of Port Everglades Inlet Microbiome Using High Throughput Dna Sequencing, Lauren M. O'Connell, Song Gao, Donald S. Mccorquodale Jr., Jay M. Fleisher, Jose Lopez

Marine & Environmental Sciences Faculty Articles

Background

Similar to natural rivers, manmade inlets connect inland runoff to the ocean. Port Everglades Inlet (PEI) is a busy cargo and cruise ship port in South Florida, which can act as a source of pollution to surrounding beaches and offshore coral reefs. Understanding the composition and fluctuations of bacterioplankton communities (“microbiomes”) in major port inlets is important due to potential impacts on surrounding environments. We hypothesize seasonal microbial fluctuations, which were profiled by high throughput 16S rRNA amplicon sequencing and analysis.

Methods & Results

Surface water samples were collected every week for one year. A total of four samples …

Region Based Gene Expression Via Reanalysis Of Publicly Available Microarray Data Sets., Ernur Saka

Electronic Theses and Dissertations

A DNA microarray is a high-throughput technology used to identify relative gene expression. One of the most widely used platforms is the Affymetrix® GeneChip® technology which detects gene expression levels based on probe sets composed of a set of twenty-five nucleotide probes designed to hybridize with specific gene targets. Given a particular Affymetrix® GeneChip® platform, the design of the probes is fixed. However, the method of analysis is dynamic in nature due to the ability to annotate and group probes into uniquely defined groupings. This is particularly important since publicly available repositories of microarray datasets, such as ArrayExpress and NCBI’s …

Multivalency Regulates Activity In An Intrinsically Disordered Transcription Factor, Sarah Clark, Janette B. Myers, Ashleigh King, Radovan Fiala, Jiri Novacek, Grant Pearce, Steve L. Reichow, Elisar J. Barbar

Chemistry Faculty Publications and Presentations

The transcription factor ASCIZ (ATMIN, ZNF822) has an unusually high number of recognition motifs for the product of its main target gene, the hub protein LC8 (DYNLL1). Using a combination of biophysical methods, structural analysis by NMR and electron microscopy, and cellular transcription assays, we developed a model that proposes a concerted role of intrinsic disorder and multiple LC8 binding events in regulating LC8 transcription. We demonstrate that the long intrinsically disordered C-terminal domain of ASCIZ binds LC8 to form a dynamic ensemble of complexes with a gradient of transcriptional activity that is inversely proportional to LC8 occupancy. The preference …

Bayesian Network Modeling And Inference Of Gwas Catalog, Qiuping Pan

Graduate Theses and Dissertations

Genome-wide association studies (GWASs) have received an increasing attention to understand genotype-phenotype relationships. The Bayesian network has been proposed as a powerful tool for modeling single-nucleotide polymorphism (SNP)-trait associations due to its advantage in addressing the high computational complex and high dimensional problems. Most current works learn the interactions among genotypes and phenotypes from the raw genotype data. However, due to the privacy issue, genotype information is sensitive and should be handled by complying with specific restrictions. In this work, we aim to build Bayesian networks from publicly released GWAS statistics to explicitly reveal the conditional dependency between SNPs and …

Analysis Of Environmental Dna Methods For The Detection Of Small Stream Fishes, Taylor Kristen Lee

Student Theses and Dissertations

Analysis of environmental DNA (eDNA) represents a promising new tool geared toward assisting species detection, though there is still much to learn about its utility and robustness. The main objective of this study was to use eDNA with several other applied techniques to determine the presence of the federally threated Leopard Darter, Percina pantherina, within two tributaries of the Little River in Arkansas. Traditional field sampling failed to detect P. pantherina, and putative contamination prevented confident eDNA detection. My second objective used a spike experiment strategy to test the ability of the eDNA method to reliably detect low levels of …

Efficient Reduced Bias Genetic Algorithm For Generic Community Detection Objectives, Aditya Karnam Gururaj Rao

Theses

The problem of community structure identification has been an extensively investigated area for biology, physics, social sciences, and computer science in recent years for studying the properties of networks representing complex relationships. Most traditional methods, such as K-means and hierarchical clustering, are based on the assumption that communities have spherical configurations. Lately, Genetic Algorithms (GA) are being utilized for efficient community detection without imposing sphericity. GAs are machine learning methods which mimic natural selection and scale with the complexity of the network. However, traditional GA approaches employ a representation method that dramatically increases the solution space to be searched by …

Prediction Of Lncrna-Disease Associations Based On Inductive Matrix Completion, Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Accumulating evidences indicate that long non-coding RNAs (lncRNAs) play pivotal roles in various biological processes. Mutations and dysregulations of lncRNAs are implicated in miscellaneous human diseases. Predicting lncRNA–disease associations is beneficial to disease diagnosis as well as treatment. Although many computational methods have been developed, precisely identifying lncRNA–disease associations, especially for novel lncRNAs, remains challenging.

Results: In this study, we propose a method (named SIMCLDA) for predicting potential lncRNA– disease associations based on inductive matrix completion. We compute Gaussian interaction profile kernel of lncRNAs from known lncRNA–disease interactions and functional similarity of diseases based on disease–gene and gene–gene onotology …

Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp03 And Dp04 From April - August 2016, Cole Easson, Lindsey Freed

DEEPEND Datasets

Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during planned DEEPEND cruise expeditions to the GOM in 2016. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable regions were generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Raw paired-end sequences were joined and quality filtered in the bioinformatics program, QIIME. Vertical baseline characterizations will track alpha and beta diversity at different depths ranging from 0 – 1500 m, assess seasonal …

The Pharmacogene Variation (Pharmvar) Consortium: Incorporation Of The Human Cytochrome P450 (Cyp) Allele Nomenclature Database, Andrea Gaedigk, Magnus Ingelman-Sundberg, Neil A. Miller, J Steven Leeder, Michelle Whirl-Carrillo, Teri E. Klein

Manuscripts, Articles, Book Chapters and Other Papers

The Human Cytochrome P450 (CYP) Allele Nomenclature Database, a critical resource to the pharmacogenetics and genomics communities, will be transitioning to the Pharmacogene Variation (PharmVar) Consortium. In this report we provide a summary of the current database, provide an overview of the PharmVar consortium and highlight the PharmVar database which will serve as the new home for pharmacogene nomenclature.

A Model Species For Agricultural Pest Genomics: The Genome Of The Colorado Potato Beetle, Leptinotarsa Decemlineata (Coleoptera: Chrysomelidae), Sean D. Schoville, Yolanda H. Chen, Martin N. Andersson, Joshua B. Benoit, Anita Bhandari, Julia H. Bowsher, Kristian Brevik, Kaat Cappelle, Mei-Ju M. Chen, Anna K. Childers, Christopher Childers, Olivier Christiaens, Justin Clements, Elise M. Didion, Elena N. Elpidina, Patamarerk Engsontia, Markus Friedrich, Inmaculada García-Robles, Richard A. Gibbs, Chandan Goswami, Alessandro Grapputo, Kristina Gruden, Marcin Grynberg, Bernard Henrissat, Emily C. Jennings, Jeffery W. Jones, Megha Kalsi, Sher A. Khan, Abhishek Kumar, Fei Li, Vincent Lombard, Subba Reddy Palli, June-Sun Yoon

Entomology Faculty Publications

The Colorado potato beetle is one of the most challenging agricultural pests to manage. It has shown a spectacular ability to adapt to a variety of solanaceaeous plants and variable climates during its global invasion, and, notably, to rapidly evolve insecticide resistance. To examine evidence of rapid evolutionary change, and to understand the genetic basis of herbivory and insecticide resistance, we tested for structural and functional genomic changes relative to other arthropod species using genome sequencing, transcriptomics, and community annotation. Two factors that might facilitate rapid evolutionary change include transposable elements, which comprise at least 17% of the genome and …

Mitochondrial Dna Sequence Alignments And Raw Fastq Files For The Population Genetic Analysis Of The Deep Sea Isopod, Bathynomus Giganteus, Laura Timm, Barbara Moahamed

DEEPEND Datasets

This data set includes three alignments (12S, 16S, COI) of mitochondrial DNA sequences, as well as two raw fastq files generated through the next-generation sequencing (NGS) method ddRADseq. This data was collected from Bathynomus giganteus specimens collected from throughout the northeastern Gulf of Mexico.

Mitochondrial And Nuclear Sequences For Phylogenetic Analysis Of Three Cephalopod Species, Northern Gulf Of Mexico, May 2015 To May 2017, Amanda Sosnowki

DEEPEND Datasets

The midwater column contains a wide diversity of cephalopods in the northern Gulf of Mexico. DNA sequence data (barcodes) have become a key tool to discover hidden biodiversity. We generated mitochondrial DNA barcode datasets based on the Cytochrome c oxidase I (COI), 16s, and 28s genes from cephalopods. These data were analyzed using phylogenetic methods to examine possible connectivity of 3 species (Vampyroteuthis infernalis, Pyroteuthis margaritifera, and Cranchia scabra) between two basins, the Gulf of Mexico and the area surrounding Bear Seamount in the northwestern Atlantic Ocean. These datasets were generated from cephalopods collected in the northern Gulf of Mexico …

16s And Coi Barcoding Sequences For Crustaceans Collected From The Northern Gulf Of Mexico For Cruises Dp02, Dp03, And Dp04 From August 2015 - August 2016, Heather Bracken-Grissom Dr.

DEEPEND Datasets

These are the 16S and COI barcoding sequences for crustaceans collected on cruises DP02, DP03, and DP04. These barcodes, obtained from the species we collected, will be used to aid in species identification efforts, evolutionary relationships analyses, adult-larval linkages, and new species discoveries. Samples were taken from animals collected during cruises that took place in the northern Gulf of Mexico from August 2015 - August 2016.

Large Effect Quantitative Trait Loci For Salicinoid Phenolic Glycosides In Populus: Implications For Gene Discovery, Scott A. Woolbright, Brian J. Rehill, Richard L. Lindroth, Stephen P. Difazio, Gregory D. Martinsen, Matthew S. Zinkgraf, Gerard J. Allan, Paul Keim, Thomas G. Whitham

Faculty & Staff Scholarship

Genomic studies have been used to identify genes underlying many important plant secondary metabolic pathways. However, genes for salicinoid phenolic glycosides (SPGs)—ecologically important compounds with significant commercial, cultural, and medicinal applications—remain largely undescribed. We used a linkage map derived from a full-sib population of hybrid cottonwoods (Populus spp.) to search for quanti- tative trait loci (QTL) for the SPGs salicortin and HCH-salicortin. SSR markers and primer sequences were used to anchor the map to the V3.0 P. trichocarpa genome. We discovered 21 QTL for the two traits, including a major QTL for HCH-salicortin (R2 = .52) that colocated with a …

Macrophage Sensing Of Single- Walled Carbon Nanotubes Via Toll- Like Receptors, Sourav P. Mukherjee, Olesja Bondarenko, Pekka Kohonen, Fernando T. Andon, Tana Brzicova, Isabel Gessner, Sanjay Mathur, Massimo Bottini, Paolo Calligari, Lorenzo Stella, Elena Kisin, Anna Shvedova, Reija Autio, Heli Salminen-Mankonen, Ritta Lahesmaa, Bengt Fadeel

Faculty & Staff Scholarship

Carbon-based nanomaterials including carbon nanotubes (CNTs) have been shown to trigger

inflammation. However, how these materials are ‘sensed’ by immune cells is not known. Here we compared the effects of two carbon-based nanomaterials, single-walled CNTs (SWCNTs) and graphene oxide (GO), on primary human monocyte-derived macrophages. Genome-wide transcriptomics assessment was performed at sub-cytotoxic doses. Pathway analysis of the microarray data revealed pronounced effects on chemokine-encoding genes in macrophages exposed to SWCNTs, but not in response to GO, and these results were validated by multiplex array-based cytokine and chemokine profiling. Conditioned medium from SWCNT-exposed cells acted as a chemoattractant for dendritic cells. …

Combining Semi-Synthesis With Plant And Microbial Biocatalysis: New Frontiers In Producing A Chemical Arsenal Against Cancer†, Samuel Gary, Janet Adegboye, Brian Popp, Jean-Christophe Cocuron, Brooklyn Woodrum, Nik Kovinich

Faculty & Staff Scholarship

Natural products (NPs) that exhibit anticancer activities are frequently not potent enough to be used clinically as therapeutics. Semi-synthesis and metabolic engineering are promising approaches for producing more efficacious derivatives of anticancer NPs (ACNPs), but each technique alone can be inefficient at obtaining specific ACNP derivatives that may be suspected to have enhanced anticancer activity. Here, we demonstrate that the methods of semi-synthesis and biocatalysis can be used as modules in succession and in different combinations to produce 6,8-dibromogenkwanin, a derivative of the ACNP apigenin. Further, we demonstrated that soybean seed coats can be used as a biocatalyst to convert …

Spontaneous Dna Damage To The Nuclear Genome Promotes Senescence, T Redox Imbalance And Aging, Andria R. Robinson, Matthew J. Yousefzadeh, Tania A. Rozgaja, Jin Wang, Xuesen Li, Jeremy S. Tilstra, Chelsea H. Feldman, Siobhan Q. Gregg, Caroline H. Johnson, Erin M. Skoda, Marie-Celine Frantz, Harris Bell-Temin, Hannah Pope-Varsalona, Aditi U. Gurkar, Luigi A. Nasto, Rena A.S. Robinson, Heike Fuhrmann-Stroissnigg, Jolanta Czerwinska, Sara J. Mcgowan, Nadiezhda Cantu-Madellin, Jamie B. Harris, Salony Maniar, Mark A. Ross, Christy E. Trussoni, Nicholas F. Larusso, Eugenia Cifuentes-Pagano, Patrick J. Pagano, Barbara Tudek, Nam V. Vo, Lora H. Rigatti, Patricia L. Opresko, Donna B. Stolz, Simon C. Watkins, Christin E. Burd, Claudette M. St, Croix, Gary Siuzdak, Nathan A. Yates, Paul D. Robbins, Yinsheng Wang, Peter Wipf, Eric E. Kelley, Laura J. Neidernhofer

Faculty & Staff Scholarship

Accumulation of senescent cells over time contributes to aging and age-related diseases. However, what drives senescence in vivo is not clear. Here we used a genetic approach to determine if spontaneous nuclear DNA damage is sufficient to initiate senescence in mammals. Ercc1-/Δ mice with reduced expression of ERCC1-XPF endonuclease have impaired capacity to repair the nuclear genome. Ercc1-/Δ mice accumulated spontaneous, oxidative DNA damage more rapidly than wild-type (WT) mice. As a consequence, senescent cells accumulated more rapidly in Ercc1-/Δ mice compared to repair-competent animals. However, the levels of DNA damage and senescent cells in Ercc1-/Δ mice never exceeded that …

Recurrent Neural Networks And Their Applications To Rna Secondary Structure Inference, Devin Willmott

Theses and Dissertations--Mathematics

Recurrent neural networks (RNNs) are state of the art sequential machine learning tools, but have difficulty learning sequences with long-range dependencies due to the exponential growth or decay of gradients backpropagated through the RNN. Some methods overcome this problem by modifying the standard RNN architecure to force the recurrent weight matrix W to remain orthogonal throughout training. The first half of this thesis presents a novel orthogonal RNN architecture that enforces orthogonality of W by parametrizing with a skew-symmetric matrix via the Cayley transform. We present rules for backpropagation through the Cayley transform, show how to deal with the Cayley …

The Impact Of Truncating Data On The Predictive Ability For Single-Step Genomic Best Linear Unbiased Prediction, Jeremy T. Howard, Thomas A. Rathje, Caitlyn E. Bruns, Danielle F. Wilson-Wells, Stephen D. Kachman, Matthew L. Spangler

Department of Animal Science: Faculty Publications

Simulated and swine industry data sets were utilized to assess the impact of removing older data on the predictive ability of selection candidate estimated breeding values (EBV) when using single-step genomic best linear unbiased prediction (ssGBLUP). Simulated data included thirty replicates designed to mimic the structure of swine data sets. For the simulated data, varying amounts of data were truncated based on the number of ancestral generations back from the selection candidates. The swine data sets consisted of phenotypic and genotypic records for three traits across two breeds on animals born from 2003 to 2017. Phenotypes and genotypes were iteratively …

An Investigation Of Atomic Structures Derived From X-Ray Crystallography And Cryo-Electron Microscopy Using Distal Blocks Of Side-Chains, Lin Chen, Jing He, Salim Sazzed, Rayshawn Walker

Computer Science Faculty Publications

Cryo-electron microscopy (cryo-EM) is a structure determination method for large molecular complexes. As more and more atomic structures are determined using this technique, it is becoming possible to perform statistical characterization of side-chain conformations. Two data sets were involved to characterize block lengths for each of the 18 types of amino acids. One set contains 9131 structures resolved using X-ray crystallography from density maps with better than or equal to 1.5 Å resolutions, and the other contains 237 protein structures derived from cryo-EM density maps with 2-4 Å resolutions. The results show that the normalized probability density function of block …

A Systematic Approach To Rna-Associated Motif Discovery, Tian Gao, Jiang Shu, Juan Cui

School of Computing: Faculty Publications

Background: Sequencing-based large screening of RNA-protein and RNA-RNA interactions has enabled the mechanistic study of post-transcriptional RNA processing and sorting, including exosome-mediated RNA secretion. The downstream analysis of RNA binding sites has encouraged the investigation of novel sequence motifs, which resulted in exceptional new challenges for identifying motifs from very short sequences (e.g., small non-coding RNAs or truncated messenger RNAs), where conventional methods tend to be ineffective. To address these challenges, we propose a novel motif-finding method and validate it on a wide range of RNA applications.

Results: We first perform motif analysis on microRNAs and longer RNA fragments from …