Genetics and Genomics Commons^™

Relationships Between The Weedy (Amaranthaceae) And The Grain Amaranths [Abstract], Kiel D. Kielinski, Felix Jimenez, Eric N. Jellen, Peter J. Maughan, Scott M. Smith, Donald B. Pratt

Faculty Publications

No abstract provided.

A Course-Based Research Experience: How Benefits Change With Increased Investment In Instructional Time, Christopher D. Shaffer, Consuelo J. Alvarez, April E. Bednarski, David Dunbar, Anya L. Goodman, Catherine Reinke, Anne G. Rosenwald, Michael J. Wolyniak, Cheryl Bailey, Daron Barnard, Christopher Bazinet, Dale L. Beach, James E.J. Bedard, Satish Bhalla, John Braverman, Martin Burg, Vidya Chandrasekaran, Hui-Min Chung, Kari Clase, Randall J. Dejong, Justin R. Diangelo, Chunguang Du, Todd T. Eckdahl, Heather Eisler, Julia A. Emerson, Amy Frary, Donald Frohlich, Yuying Gosser, Shubha Govind, Adam Haberman, Amy T. Hark, Charles Hauser, Arlene Hoogewerf, Laura L.M. Hoopes, Carina E. Howell, Diana Johnson, Christopher J. Jones, Lisa Kadlec, Marian Kaehler, S. Catherine Silver Key, Adam Kleinschmit, Nighat P. Kokan, Olga Kopp, Gary Kuleck, Judith Leatherman, Jane Lopilato, Christy Mackinnon, Juan Carlos Martinez-Cruzado, Gerard Mcneil, Stephanie Mel, Hemlata Mistry, Alexis Nagengast, Paul Overvoorde, Don W. Paetkau, Susan Parrish, Celeste N. Peterson, Mary Preuss, Laura K. Reed, Dennis Revie, Srebrenka Robic, Jennifer Roecklein-Canfield, Michael R. Rubin, Kenneth Saville, Stephanie Schroeder, Karim Sharif, Mary Shaw, Gary Skuse, Christopher D. Smith, Mary A. Smith, Sheryl T. Smith, Eric Spana, Mary Spratt, Aparna Sreenivasan, Joyce Stamm, Paul Szauter, Jeffrey S. Thompson, Matthew Wawersik, James Youngblom, Leming Zhou, Elaine R. Mardis, Jeremy Buhler, Wilson Leung, David Lopatto, Sarah C.R. Elgin

Faculty Publications

There is widespread agreement that science, technology, engineering, and mathematics programs should provide undergraduates with research experience. Practical issues and limited resources, however, make this a challenge. We have developed a bioinformatics project that provides a course-based research experience for students at a diverse group of schools and offers the opportunity to tailor this experience to local curriculum and institution-specific student needs. We assessed both attitude and knowledge gains, looking for insights into how students respond given this wide range of curricular and institutional variables. While different approaches all appear to result in learning gains, we find that a significant …

Sugar Promotes Vegetative Phase Change In Arabidopsis Thaliana By Repressing The Expression Of Mir156a And Mir156c, Li Yang, Mingli Xu, Yeonjong Koo, Jia He, R. Scott Poethig

Faculty Publications

Nutrients shape the growth, maturation, and aging of plants and animals. In plants, the juvenile to adult transition (vegetative phase change) is initiated by a decrease in miR156. In Arabidopsis, we found that exogenous sugar decreased the abundance of miR156, whereas reduced photosynthesis increased the level of this miRNA. This effect was correlated with a change in the timing of vegetative phase change, and was primarily attributable to a change in the expression of two genes, MIR156A and MIR156C, which were found to play dominant roles in this transition. The glucose-induced repression of miR156 was dependent on the …

Assessment Of Genetic Diversity In Peruvian Amaranth (Amaranthus Caudatus And A. Hybridus) Germplasm Using Single Nucleotide Polymorphism Markers [Abstract], Felix Jimenez, Peter J. Maughan, Aquilino Alvarez, Kiel D. Kielinski, Scott M. Smith, Donald B. Pratt, David B. Elzinga, Eric N. Jellen

Faculty Publications

No abstract provided.

A Path To Success? A Review Of Evolution, Development, And The Predictable Genome By David L. Stern, Hope Hollocher, Charles H. Pence, Grant Ramsey, Michelle M. Wirth

Faculty Publications

No abstract provided.

Staffan Müller-Wille And Hans-Jörg Rheinberger, A Cultural History Of Heredity, Charles H. Pence

Faculty Publications

No abstract provided.

A Systematic Genetic Screen To Dissect The Microrna Pathway In Drosophila, Sigal Pressman, Catherine A. Reinke, Xiaohong Wang, Richard W. Carthew

Faculty Publications

A central goal of microRNA biology is to elucidate the genetic program of miRNA function and regulation. However, relatively few of the effectors that execute miRNA repression have been identified. Because such genes may function in many developmental processes, mutations in them are expected to be pleiotropic and thus are discarded in most standard genetic screens. Here, we describe a systematic screen designed to identify all Drosophila genes in ~40% of the genome that function in the miRNA pathway. To identify potentially pleiotropic genes, the screen analyzed clones of homozygous mutant cells in heterozygous animals. We identified 45 mutations representing …

Mtbindingsim: Simulate Protein Binding To Microtubules, Julia T. Philip, Charles H. Pence, Holly V. Goodson

Faculty Publications

Summary: Many protein–protein interactions are more complex than can be accounted for by 1:1 binding models. However, biochemists have few tools available to help them recognize and predict the behaviors of these more complicated systems, making it difficult to design experiments that distinguish between possible binding models. MTBindingSim provides researchers with an environment in which they can rapidly compare different models of binding for a given scenario. It is written specifically with microtubule polymers in mind, but many of its models apply equally well to any polymer or any protein–protein interaction. MTBindingSim can thus both help in training intuition about …

Genetic Control Of A Central Pattern Generator: Rhythmic Oromotor Movement In Mice Is Controlled By A Major Locus Near Atp1a2, Steven J. St. John, John D. Boughter Jr, Megan K. Mulligan, Kenichi Tokita, Lu Lu, Detlef H. Heck, Robert W. Williams

Faculty Publications

calreticulin, Animals, Chromosome Mapping, Mammalian Chromosomes, Gene Expression Regulation, Genetic Linkage, Genome-Wide Association Study. Inbred C57BL Mice, Inbred DBA Mice, Quantitative Trait Loci, Sodium-Potassium-Exchanging ATPase/genetics, Atp1a2 protein, Sodium-Potassium-Exchanging ATPase, feeding behavior, drinking behavior, mice, central pattern generator, genetic control

Mutation At The Human D1s80 Minisatellite Locus, Kuppareddi Balamurugan

Faculty Publications

Little is known about the general biology of minisatellites. The purpose of this study is to examine repeat mutations from the D1S80 minisatellite locus by sequence analysis to elucidate the mutational process at this locus. This is a highly polymorphic minisatellite locus, located in the subtelomeric region of chromosome 1. We have analyzed 90,000 human germline transmission events and found seven (7) mutations at this locus. The D1S80 alleles of the parentage trio, the child, mother, and the alleged father were sequenced and the origin of the mutation was determined. Using American Association of Blood Banks (AABB) guidelines, we found …

The Nuclear Pore Complex Mediates Binding Of The Mig1 Repressor To Target Promoters, Nayan J. Sarma, Thomas D. Buford, Terry Haley, Kellie Barbara-Haley, George M. Santangelo, Kristine A. Willis

Faculty Publications

All eukaryotic cells alter their transcriptional program in response to the sugar glucose. In Saccharomyces cerevisiae, the best-studied downstream effector of this response is the glucose-regulated repressor Mig1. We show here that nuclear pore complexes also contribute to glucose-regulated gene expression. NPCs participate in glucose-responsive repression by physically interacting with Mig1 and mediating its function independently of nucleocytoplasmic transport. Surprisingly, despite its abundant presence in the nucleus of glucose-grown nup120Δ or nup133Δ cells, Mig1 has lost its ability to interact with target promoters. The glucose repression defect in the absence of these nuclear pore components therefore appears …

Functional Dissection Of The Glucose Signaling Pathways That Regulate The Yeast Glucose Transporter Gene (Hxt) Repressor Rgt1, David J. Jouandot Ii, Adhiraj Roy, Jeong-Ho Kim

Faculty Publications

The yeast Rgt1 repressor is a bifunctional protein that acts as a transcriptional repressor and activator. Under glucose-limited conditions, Rgt1 induces transcriptional repression by forming a repressive complex with its corepressors Mth1 and Std1. Here, we show that Rgt1 is converted from a transcriptional repressor into an activator under high glucose conditions and this occurs through two independent but consecutive events mediated by two glucose signaling pathways: (1) disruption of the repressive complex by the Rgt2/Snf3 pathway; (2) phosphorylation of Rgt1 by the cAMP-dependent protein kinase (cAMP-PKA) pathway. Rgt1 is phosphorylated by PKA at four serine residues within its amino-terminal …

Discrete Diffusion Models To Study The Effects Of Mg2+ Concentration On The Phopq Signal Transduction System, Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Chaoyang Zhang

Faculty Publications

Background: The challenge today is to develop a modeling and simulation paradigm that integrates structural, molecular and genetic data for a quantitative understanding of physiology and behavior of biological processes at multiple scales. This modeling method requires techniques that maintain a reasonable accuracy of the biological process and also reduces the computational overhead. This objective motivates the use of new methods that can transform the problem from energy and affinity based modeling to information theory based modeling. To achieve this, we transform all dynamics within the cell into a random event time, which is specified through an information domain …

A New Approach To Construct Pathway Connected Networks And Its Application In Dose Responsive Gene Expression Profiles Of Rat Liver Regulated By 2,4dnt, Sudhir Chowbina, Youping Deng, Junmei Ai, Xiaogang Wu, Xin Guan, Mitchell S. Wilbanks, Barbara Lynn Escalon, Edward J. Perkins, Jake Y. Chen

Faculty Publications

Background: Military and industrial activities have lead to reported release of 2,4-dinitrotoluene (2,4DNT) into soil, groundwater or surface water. It has been reported that 2,4DNT can induce toxic effects on humans and other organisms. However the mechanism of 2,4DNT induced toxicity is still unclear. Although a series of methods for gene network construction have been developed, few instances of applying such technology to generate pathway connected networks have been reported.

Results: Microarray analyses were conducted using liver tissue of rats collected 24h after exposure to a single oral gavage with one of five concentrations of 2,4DNT. We observed …

Density Based Pruning For Identification Of Differentially Expressed Genes From Microarray Data, Jianjun Hu, J. Xu

Faculty Publications

Motivation

Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by considering other features of differentially expressed genes.

Results

We proposed a pattern recognition strategy for identifying differentially expressed genes. Genes are mapped to a two dimension feature space composed of average difference of gene expression and average expression levels. A density based pruning algorithm (DB Pruning) is developed to screen out potential differentially expressed genes usually …

Using Jackknife To Assess The Quality Of Gene Order Phylogenies, Jian Shi, Yiwei Zhang, Haiwei Luo, Jijun Tang

Faculty Publications

Background
In recent years, gene order data has attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis. If gene orders are viewed as one character with a large number of states, traditional bootstrap procedures cannot be applied. Researchers began to use a jackknife resampling method to assess the quality of gene order phylogenies.

Results
In this paper, we design and conduct a set of experiments to validate the performance of this jackknife procedure and provide discussions on how to conduct it properly. Our results show that jackknife is very useful to …

Genome3d: A Viewer-Model Framework For Integrating And Visualizing Multi-Scale Epigenomic Information Within A Three-Dimensional Genome, Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim Zheng

Faculty Publications

Background
New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data is increasingly structural in nature, and is often difficult to coordinate with other data sets. There is a legitimate need for integrating and visualizing these disparate data sets to reveal structural relationships not apparent when looking at these data in isolation.

Results
We have applied object-oriented technology to develop a downloadable visualization tool, Genome3D, for integrating and displaying epigenomic data within a prescribed three-dimensional physical model of the human genome. In order …

The Tbx20 Homologs Midline And H15 Specify Ventral Fate In The Drosophila Melanogaster Leg, Pia C. Svendson, Ann Formaz-Preston, Sandra M. Leal, William J. Brook

Faculty Publications

Regional fates in the developing limbs of Drosophila melanogaster are controlled by selector gene transcription factors. Ventral fate in the fly leg is specified by the expression of the ligand Wingless. We present evidence that midline and H15, members of the Tbx20 class of T-box transcription factors, are key mediators of the Wingless signal in the formation of the ventral region of the fly leg. midline and H15 are restricted to identical ventral domains of expression through activation by Wingless and repression by the dorsal signal Decapentaplegic. midline and H15 function redundantly and cell autonomously in the formation of …

Gene Order Phylogeny And The Evolution Of Methanogens, Haiwei Luo, Zhiyi Sun, William Arndt, Jian Shi, Robert Friedman, Jijun Tang

Faculty Publications

Methanogens are a phylogenetically diverse group belonging to Euryarchaeota. Previously, phylogenetic approaches using large datasets revealed that methanogens can be grouped into two classes, “Class I” and “Class II”. However, some deep relationships were not resolved. For instance, the monophyly of “Class I” methanogens, which consist of Methanopyrales, Methanobacteriales and Methanococcales, is disputable due to weak statistical support. In this study, we use MSOAR to identify common orthologous genes from eight methanogen species and a Thermococcale species (outgroup), and apply GRAPPA and FastME to compute distance-based gene order phylogeny. The gene order phylogeny supports two classes of methanogens, but it …

Comparing 2-Nt 3' Overhangs Against Blunt-Ended Sirnas: A Systems Biology Based Study, Preetam Ghosh, Robert Dullea, James E. Fischer, Tom G. Turi, Ronald W. Sarver, Chaoyang Zhang, Kalyan Basu, Sajal K. Das

Faculty Publications

In this study, we formulate a computational reaction model following a chemical kinetic theory approach to predict the binding rate constant for the siRNA-RISC complex formation reaction. The model allowed us to study the potency difference between 2-nt 3' overhangs against blunt-ended siRNA molecules in an RNA interference (RNAi) system. The rate constant predicted by this model was fed into a stochastic simulation of the RNAi system (using the Gillespie stochastic simulator) to study the overall potency effect. We observed that the stochasticity in the transcription/translation machinery has no observable effects in the RNAi pathway. Sustained gene silencing using siRNAs …

A Distribution-Free Convolution Model For Background Correction Of Oligonucleotide Microarray Data, Zhongxue Chen, Monnie Mcgee, Qingzhong Liu, Megan Kong, Youping Deng, Richard H. Scheuermann

Faculty Publications

Introduction

Affymetrix GeneChip^® high-density oligonucleotide arrays are widely used in biological and medical research because of production reproducibility, which facilitates the comparison of results between experiment runs. In order to obtain high-level classification and cluster analysis that can be trusted, it is important to perform various pre-processing steps on the probe-level data to control for variability in sample processing and array hybridization. Many proposed preprocessing methods are parametric, in that they assume that the background noise generated by microarray data is a random sample from a statistical distribution, typically a normal distribution. The quality of the final results depends …

High-Throughput Next-Generation Sequencing Technologies Foster New Cutting-Edge Computing Techniques In Bioinformatics, Mary Qu Yang, Brian D. Athey, Hamid R. Arabnia, Andrew H. Sung, Qingzhong Liu, Jack Y. Yang, Jinghe Mao, Youping Deng

Faculty Publications

The advent of high-throughput next generation sequencing technologies have fostered enormous potential applications of supercomputing techniques in genome sequencing, epi-genetics, metagenomics, personalized medicine, discovery of non-coding RNAs and protein-binding sites. To this end, the 2008 International Conference on Bioinformatics and Computational Biology (Biocomp) - 2008 World Congress on Computer Science, Computer Engineering and Applied Computing (Worldcomp) was designed to promote synergistic inter/multidisciplinary research and education in response to the current research trends and advances. The conference attracted more than two thousand scientists, medical doctors, engineers, professors and students gathered at Las Vegas, Nevada, USA during July 14-17 and received great …

An Ensemble Learning Approach To Reverse-Engineering Transcriptional Regulatory Networks From Time-Series Gene Expression Data, Jianhua Ruan, Youping Deng, Edward J. Perkins, Weixiong Zhang

Faculty Publications

Background

One of the most challenging tasks in the post-genomic era is to reconstruct the transcriptional regulatory networks. The goal is to reveal, for each gene that responds to a certain biological event, which transcription factors affect its expression, and how a set of transcription factors coordinate to accomplish temporal and spatial specific regulations.

Results

Here we propose a supervised machine learning approach to address these questions. We focus our study on the gene transcriptional regulation of the cell cycle in the budding yeast, thanks to the large amount of data available and relatively well-understood biology, although the main ideas …

Gene Order Phylogeny Of The Genus Prochlorococcus, Haiwei Luo, Jian Shi, William Arndt, Jijun Tang, Robert Friedman

Faculty Publications

Background
Using gene order as a phylogenetic character has the potential to resolve previously unresolved species relationships. This character was used to resolve the evolutionary history within the genus Prochlorococcus, a group of marine cyanobacteria.

Methodology/Principal Findings
Orthologous gene sets and their genomic positions were identified from 12 species of Prochlorococcus and 1 outgroup species of Synechococcus. From this data, inversion and breakpoint distance-based phylogenetic trees were computed by GRAPPA and FastME. Statistical support of the resulting topology was obtained by application of a 50% jackknife resampling technique. The result was consistent and congruent with nucleotide sequence-based and gene-content based …

Multi-Break Rearrangements And Breakpoint Re-Uses: From Circular To Linear Genomes, Max A. Alekseyev

Faculty Publications

Multi-break rearrangements break a genome into multiple fragments and further glue them together in a new order. While 2-break rearrangements represent standard reversals, fusions, fissions, and translocations, 3-break rearrangements represent a natural generalization of transpositions. Alekseyev and Pevzner (2007a, 2008a) studied multi-break rearrangements in circular genomes and further applied them to the analysis of chromosomal evolution in mammalian genomes. In this paper, we extend these results to the more difficult case of linear genomes. In particular, we give lower bounds for the rearrangement distance between linear genomes and for the breakpoint re-use rate as functions of the number and proportion …

Improving Reversal Median Computation Using Commuting Reversals And Cycle Information, William Arndt, Jijun Tang

Faculty Publications

In the past decade, genome rearrangements have attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis. Methods for reconstructing phylogeny from genome rearrangements include distance-based methods, MCMC methods, and direct optimization methods. The latter, pioneered by Sankoff and extended with the software suites GRAPPA and MGR, is the most accurate approach, but is very limited due to the difficulty of its scoring procedure—it must solve multiple instances of the reversal median problem to compute the score of a given tree. The reversal median problem is known to be NP-hard and all …

Phylogenetic Reconstruction From Transpositions, Feng Yue, Meng Zhang, Jijun Tang

Faculty Publications

Background
Because of the advent of high-throughput sequencing and the consequent reduction in the cost of sequencing, many organisms have been completely sequenced and most of their genes identified. It thus has become possible to represent whole genomes as ordered lists of gene identifiers and to study the rearrangement of these entities through computational means. As a result, genome rearrangement data has attracted increasing attentions from both biologists and computer scientists as a new type of data for phylogenetic analysis. The main events of genome rearrangements include inversions, transpositions and transversions. To date, GRAPPA and MGR are the most accurate …

Gene Rearrangement Analysis And Ancestral Order Inference From Chloroplast Genomes With Inverted Repeat, Feng Yue, Liying Cui, Claude W. Depamphilis, Bernard M.E. Moret, Jijun Tang

Faculty Publications

Background
Genome evolution is shaped not only by nucleotide substitutions, but also by structural changes including gene and genome duplications, insertions, deletions and gene order rearrangements. The most popular methods for reconstructing phylogeny from genome rearrangements include GRAPPA and MGR. However these methods are limited to cases where equal gene content or few deletions can be assumed. Since conserved duplicated regions are present in many chloroplast genomes, the inference of inverted repeats is needed in chloroplast phylogeny analysis and ancestral genome reconstruction.

Results
We extend GRAPPA and develop a new method GRAPPA-IR to handle chloroplast genomes. A test of GRAPPA-IR …

2c Dna Content Values In Amaranthus (Amaranthaceae) [Abstract], Donald B. Pratt, Shalini N. Jhangiani, Robert J. Wiggers

Faculty Publications

No abstract provided.

Development And Characterization Of Microsatellite Markers For The Grain Amaranths [Abstract], Melanie A. Mallory, Rozaura V. Hall, Andrea R. Mcnabb, Donald B. Pratt, Eric N. Jellen, Peter J. Maughan

Faculty Publications

No abstract provided.