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Articles 1 - 30 of 340
Full-Text Articles in Genetics and Genomics
Snowpack Properties Vary In Response To Burn Severity Gradients In Montane Forests, Jordan Maxwell, Samuel B. St. Clair
Snowpack Properties Vary In Response To Burn Severity Gradients In Montane Forests, Jordan Maxwell, Samuel B. St. Clair
Aspen Bibliography
Wildfires are altering ecosystems globally as they change in frequency, size, and severity. As wildfires change vegetation structure, they also alter moisture inputs and energy fluxes which influence snowpack and hydrology. In unburned forests, snow has been shown to accumulate more in small clearings or in stands with low to moderate forest densities. Here we investigate whether peak snowpack varies with burn severity or percent overstory tree mortality post-fire in a mid-latitude, subalpine forest. We found that peak snowpack across the burn severity gradients increased 15% in snow-water equivalence (SWE) and 17% in depth for every 20% increase in overstory …
Chloroviruses, James L. Van Etten, Irina V. Agarkova, David D. Dunigan
Chloroviruses, James L. Van Etten, Irina V. Agarkova, David D. Dunigan
Nebraska Center for Virology: Faculty Publications
Chloroviruses are large dsDNA, plaque-forming viruses that infect certain chlorella-like green algae; the algae are normally mutualistic endosymbionts of protists and metazoans and are often referred to as zoochlorellae. The viruses are ubiquitous in inland aqueous environments throughout the world and occasionally single types reach titers of thousands of plaque-forming units per ml of native water. The viruses are icosahedral in shape with a spike structure located at one of the vertices. They contain an internal membrane that is required for infectivity. The viral genomes are 290 to 370 kb in size, which encode up to 16 tRNAs and 330 …
A "Choose-Your-Own" Classroom-Based Activity That Promotes Scientific Inquiry About Rna Interference, Jeremy L. Hsu
A "Choose-Your-Own" Classroom-Based Activity That Promotes Scientific Inquiry About Rna Interference, Jeremy L. Hsu
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
RNA interference (RNAi), the process that results in the degradation of a target gene’s mRNA, is a fundamental part of eukaryotic gene regulation and is also an important molecular technique that allows for experimental manipulation of gene expression without altering DNA sequences. Despite the importance of RNAi, there have been relatively few lecture-based activities designed to teach about the consequences of this process and counter common misconceptions. I present here an inquiry-based activity that is centered around a “choose your own experiment” design where students generate hypotheses and critically evaluate their ideas by choosing several simulated experiments. The activity presents …
Embryogenic Cell Suspensions For High-Capacity Genetic Transformation And Regeneration Of Switchgrass (Panicum Virgatum L.), Christine A. Ondzighi-Assoume, Jonathan D. Willis, Wilson Kihugu Ouma, Sara M. Allen, Zachary King, Wayne A. Parrott, Wusheng Liu, Jason N. Burris, Scott C. Lenaghan, C. Neal Stewart
Embryogenic Cell Suspensions For High-Capacity Genetic Transformation And Regeneration Of Switchgrass (Panicum Virgatum L.), Christine A. Ondzighi-Assoume, Jonathan D. Willis, Wilson Kihugu Ouma, Sara M. Allen, Zachary King, Wayne A. Parrott, Wusheng Liu, Jason N. Burris, Scott C. Lenaghan, C. Neal Stewart
Agricultural and Environmental Sciences Faculty Research
Background
Switchgrass (Panicum virgatum L.), a North American prairie grassland species, is a potential lignocellulosic biofuel feedstock owing to its wide adaptability and biomass production. Production and genetic manipulation of switchgrass should be useful to improve its biomass composition and production for bioenergy applications. The goal of this project was to develop a high-throughput stable switchgrass transformation method using Agrobacterium tumefaciens with subsequent plant regeneration.
Results
Regenerable embryogenic cell suspension cultures were established from friable type II callus-derived inflorescences using two genotypes selected from the synthetic switchgrass variety ‘Performer’ tissue culture lines 32 and 605. The cell suspension cultures …
Synthesis And Preclinical Validation Of Novel P2y1 Receptor Ligands As A Potent Anti-Prostate Cancer Agent., Hien Thi Thu Le, Tatu Rimpilainen, Saravanan Konda Mani, Akshaya Murugesan, Olli Yli-Harja, Nuno R Candeias, Meenakshisundaram Kandhavelu
Synthesis And Preclinical Validation Of Novel P2y1 Receptor Ligands As A Potent Anti-Prostate Cancer Agent., Hien Thi Thu Le, Tatu Rimpilainen, Saravanan Konda Mani, Akshaya Murugesan, Olli Yli-Harja, Nuno R Candeias, Meenakshisundaram Kandhavelu
Articles, Abstracts, and Reports
Purinergic receptor is a potential drug target for neuropathic pain, Alzheimer disease, and prostate cancer. Focusing on the structure-based ligand discovery, docking analysis on the crystal structure of P2Y
Expression Of Lysine-Mediated Neuropeptide Hormones Controlling Satiety And Appetite In Broiler Chickens, Collins N. Khwatenge, Boniface M. Kimathi, Thyneice Taylor-Bowden, Samuel N. Nahashon
Expression Of Lysine-Mediated Neuropeptide Hormones Controlling Satiety And Appetite In Broiler Chickens, Collins N. Khwatenge, Boniface M. Kimathi, Thyneice Taylor-Bowden, Samuel N. Nahashon
Agricultural and Environmental Sciences Faculty Research
Lysine is the second most limiting amino acid after methionine and is considered the most limiting amino acid for growth in poultry. Lysine requirement for broiler chickens has changed over the years. Leptin and adiponectin represent 2 adipokines that mediate metabolism by eliciting satiety effects whereas ghrelin peptide hormone influences appetite. We hypothesize that this affects growth performance of chicks. This study evaluates the effect of varying dietary lysine homeostasis on performance of broiler chickens through satiety- and appetite-mediating hormones. In 3 replications, 270 one-day-old chicks were reared for 8 wk feeding on diets comprising 0.85, 1.14, and 1.42% lysine …
Future Climate Change Will Have A Positive Effect On Populus Davidiana In China, Jie Li, Guan Liu, Qi Lu, Yanru Zhang, Guoqing Li, Sheng Du
Future Climate Change Will Have A Positive Effect On Populus Davidiana In China, Jie Li, Guan Liu, Qi Lu, Yanru Zhang, Guoqing Li, Sheng Du
Aspen Bibliography
Since climate change significantly affects global biodiversity, a reasonable assessment of the vulnerability of species in response to climate change is crucial for conservation. Most existing methods estimate the impact of climate change on the vulnerability of species by projecting the change of a species’ distribution range. This single-component evaluation ignores the impact of other components on vulnerability. In this study, Populus davidiana (David’s aspen), a tree species widely used in afforestation projects, was selected as the research subject under four future climate change scenarios (representative concentration pathway (RCP)2.6, RCP4.5, RCP6.0, and RCP8.5). Exposure components of range change as well …
Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0., Eric W Deutsch, Lydie Lane, Christopher M Overall, Nuno Bandeira, Mark S Baker, Charles Pineau, Robert L Moritz, Fernando Corrales, Sandra Orchard, Jennifer E Van Eyk, Young-Ki Paik, Susan T Weintraub, Yves Vandenbrouck, Gilbert S Omenn
Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0., Eric W Deutsch, Lydie Lane, Christopher M Overall, Nuno Bandeira, Mark S Baker, Charles Pineau, Robert L Moritz, Fernando Corrales, Sandra Orchard, Jennifer E Van Eyk, Young-Ki Paik, Susan T Weintraub, Yves Vandenbrouck, Gilbert S Omenn
Articles, Abstracts, and Reports
The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier …
Components Of The Ribosome Biogenesis Pathway Underlie Establishment Of Telomere Length Set Point In Arabidopsis, Liliia R. Abdulkina, Callie Kobayashi, John T. Lovell, Inna B. Chastukkhina, Behailu B. Aklilu, Inna A, Agabekian, Ana V. Suescún, Lia R. Valeeva, Chuluuntsetseg Nyamsuren, Galina V. Aglyamova, Margarita R. Sharipova, Dorothy E. Shippen, Thomas E. Juenger, Eugene V. Shakirov
Components Of The Ribosome Biogenesis Pathway Underlie Establishment Of Telomere Length Set Point In Arabidopsis, Liliia R. Abdulkina, Callie Kobayashi, John T. Lovell, Inna B. Chastukkhina, Behailu B. Aklilu, Inna A, Agabekian, Ana V. Suescún, Lia R. Valeeva, Chuluuntsetseg Nyamsuren, Galina V. Aglyamova, Margarita R. Sharipova, Dorothy E. Shippen, Thomas E. Juenger, Eugene V. Shakirov
Biological Sciences Faculty Research
Telomeres cap the physical ends of eukaryotic chromosomes to ensure complete DNA replication and genome stability. Heritable natural variation in telomere length exists in yeast, mice, plants and humans at birth; however, major effect loci underlying such polymorphism remain elusive. Here, we employ quantitative trait locus (QTL) mapping and transgenic manipulations to identify genes controlling telomere length set point in a multi-parent Arabidopsis thaliana mapping population. We detect several QTL explaining 63.7% of the total telomere length variation in the Arabidopsis MAGIC population. Loss-of-function mutants of the NOP2A candidate gene located inside the largest effect QTL and of two other …
Gmr36a08, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr36a08, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 49927
- ID - GMR36A08
- Location - 2R: 18120673, 18124576
- Base pairs - 3903
Gmr40e08, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr40e08, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 41238
- ID - GMR40E08
- Location - 2R: 18162090, 18165058
- Base pairs - 2968
Gmr42a07, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr42a07, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 45284
- ID - GMR42A07
- Location - 2R: 18146520, 18150306
- Base pairs - 3786
Gmr36a10, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr36a10, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 49373
- ID - GMR36A10
- Location - 2R: 18116788, 18120701
- Base pairs - 3913
Gmr40c09, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr40c09, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer
- ID - GMR40C09
- Location - 2R: 18132203, 18134987
- Base pairs - 2784
Gmr41f05, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr41f05, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 50133
- ID - GMR41F05
- Location - 2R: 18139042, 18142672
- Base pairs - 3630
Gmr35a04, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr35a04, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer
- ID - GMR35A04
- Location - 2R: 18125755, 18128365
- Base pairs - 2610
Gmr39h01, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr39h01, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 50066
- ID - GMR39H01
- Location - 2R: 18153797, 18156108
- Base pairs - 2311
Gmr42e10, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr42e10, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer
- ID - GMR42E10
- Location - 2R: 18133506, 18137474
- Base pairs - 3968
Gmr41c04, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr41c04, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer
- ID - GMR41C04
- Location -2R: 18143594, 18147064
- Base pairs - 3470
Gmr40c05, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr40c05, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 45682
- ID - GMR40C05
- Location - 2R: 18141630, 18144381
- Base pairs - 2751
Gmr41h07, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr41h07, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 46241
- ID - GMR41H07
- Location - 2R: 18150920, 18154671
- Base pairs - 3751
Gmr42h01, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
Gmr42h01, Anuradha Venkatakrishnan Chimata, Oorvashi Roy Puli, Amit Singh
DVE Enhancer Sequences Utilized in GMR Line
dve enhancer 48150
- ID - GMR42H01
- Location - 2R: 18158419, 18162751
- Base pairs - 4332
Multidrug Resistance Regulators Mara, Soxs, Rob, And Rama Repress Flagellar Gene Expression And Motility In Salmonella Enterica Serovar Typhimurium, Srinivas Thota, Lon Chubiz
Multidrug Resistance Regulators Mara, Soxs, Rob, And Rama Repress Flagellar Gene Expression And Motility In Salmonella Enterica Serovar Typhimurium, Srinivas Thota, Lon Chubiz
Biology Department Faculty Works
Production of flagella is costly and subject to global multilayered regulation, which is reflected in the hierarchical control of flagellar production in many bacterial species. For Salmonella enterica serovar Typhimurium and its relatives, global regulation of flagellar production primarily occurs through the control of flhDC transcription and mRNA translation. In this study, the roles of the homologous multidrug resistance regulators MarA, SoxS, Rob, and RamA (constituting the mar-sox-rob regulon in S. Typhimurium) in regulating flagellar gene expression were explored. Each of these regulators was found to inhibit flagellar gene expression, production of flagella, and motility. To different degrees, repression via …
Immunogenetic Response Of The Bananaquit In The Face Of Malarial Parasites, Jennifer Antonides, Samarth Mathur, Mekala Sundaram, Robert Ricklefs, J. Dewoody
Immunogenetic Response Of The Bananaquit In The Face Of Malarial Parasites, Jennifer Antonides, Samarth Mathur, Mekala Sundaram, Robert Ricklefs, J. Dewoody
Biology Department Faculty Works
Background: In the arms race between hosts and parasites, genes involved in the immune response are targets for natural selection. Toll-Like Receptor (TLR) genes play a role in parasite detection as part of the innate immune system whereas Major Histocompatibility Complex (MHC) genes encode proteins that display antigens as part of the vertebrate adaptive immune system. Thus, both gene families are under selection pressure from pathogens. The bananaquit (Coereba flaveola) is a passerine bird that is a common host of avian malarial parasites (Plasmodium sp. and Haemoproteus sp.). We assessed molecular variation of TLR and MHC genes in a wild …
Crossover Interference And Sex-Specific Genetic Maps Shape Identical By Descent Sharing In Close Relatives, Madison Caballero, Daniel N. Seidman, Ying Qiao, Jens Sannerud, Thomas D. Dyer, Donna M. Lehman, Joanne E. Curran, Ravindranath Duggirala, John Blangero, Shai Carmi, Amy L. Williams
Crossover Interference And Sex-Specific Genetic Maps Shape Identical By Descent Sharing In Close Relatives, Madison Caballero, Daniel N. Seidman, Ying Qiao, Jens Sannerud, Thomas D. Dyer, Donna M. Lehman, Joanne E. Curran, Ravindranath Duggirala, John Blangero, Shai Carmi, Amy L. Williams
School of Medicine Publications and Presentations
Simulations of close relatives and identical by descent (IBD) segments are common in genetic studies, yet most past efforts have utilized sex averaged genetic maps and ignored crossover interference, thus omitting features known to affect the breakpoints of IBD segments. We developed Ped-sim, a method for simulating relatives that can utilize either sex-specific or sex averaged genetic maps and also either a model of crossover interference or the traditional Poisson model for inter-crossover distances. To characterize the impact of previously ignored mechanisms, we simulated data for all four combinations of these factors. We found that modeling crossover interference decreases the …
Discovery Of Genomic Variations By Whole-Genome Resequencing Of The North American Araucana Chicken, Rooksana E. Noorai, Vijay Shankar, Nowlan H. Freese, Christopher M. Gregorski, Susan C. Chapman
Discovery Of Genomic Variations By Whole-Genome Resequencing Of The North American Araucana Chicken, Rooksana E. Noorai, Vijay Shankar, Nowlan H. Freese, Christopher M. Gregorski, Susan C. Chapman
Publications
Gallus gallus (chicken) is phenotypically diverse, with over 60 recognized breeds, among the myriad species within the Aves lineage. Domestic chickens have been under artificial selection by humans for thousands of years for agricultural purposes. The North American Araucana (NAA) breed arose as a cross between the Chilean “Collonocas” that laid blue eggs and was rumpless and the “Quetros” that had unusual tufts but with tail. NAAs were introduced from South America in the 1940s and have been kept as show birds by enthusiasts since then due to several distinctive traits: laying eggs with blue eggshells, characteristic ear-tufts, a pea …
Use Of >100,000 Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium Whole Genome Sequences Improves Imputation Quality And Detection Of Rare Variant Associations In Admixed African And Hispanic/Latino Populations, Madeline H. Kowalski, Huijun Qian, Ziyi Hou, Jonathan D. Rosen, Amanda L. Tapia, Yue Shan, Deepti Jain, Maria Argos, John Blangero, Juan M. Peralta
Use Of >100,000 Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium Whole Genome Sequences Improves Imputation Quality And Detection Of Rare Variant Associations In Admixed African And Hispanic/Latino Populations, Madeline H. Kowalski, Huijun Qian, Ziyi Hou, Jonathan D. Rosen, Amanda L. Tapia, Yue Shan, Deepti Jain, Maria Argos, John Blangero, Juan M. Peralta
School of Medicine Publications and Presentations
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation …
Incorporating In-Source Fragments Improves Metabolite Identification Accuracy In Untargeted Lcms And Lcms/Ms Datasets., Brian C Searle, Jacob C Lippincott, Phillip M Seitzer
Incorporating In-Source Fragments Improves Metabolite Identification Accuracy In Untargeted Lcms And Lcms/Ms Datasets., Brian C Searle, Jacob C Lippincott, Phillip M Seitzer
Articles, Abstracts, and Reports
In untargeted metabolomics experiments library search engines detect metabolites using several features, including precursor mass, isotopic distribution, retention time, and MS2 fragmentation. Matching acquired MS2 to library spectra is vital as numerous compounds share molecular formulas, resulting in identical precursor measurements and similar retention times. However, many metabolomics experiments are still collected using LC-MS only, and even in LC-MS/MS experiments many precursors lack MS2 spectra due to the stochastic nature of data dependent acquisition. We observe that when metabolites ionize they can produce unanticipated MS1 features resulting from neutral losses, in-source fragmentation, multimerization, and adducts. Here we present a new …
Deepep: A Deep Learning Framework For Identifying Essential Proteins, Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
Deepep: A Deep Learning Framework For Identifying Essential Proteins, Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
Computer Science Faculty Publications
Background: Essential proteins are crucial for cellular life and thus, identification of essential proteins is an important topic and a challenging problem for researchers. Recently lots of computational approaches have been proposed to handle this problem. However, traditional centrality methods cannot fully represent the topological features of biological networks. In addition, identifying essential proteins is an imbalanced learning problem; but few current shallow machine learning-based methods are designed to handle the imbalanced characteristics. Results: We develop DeepEP based on a deep learning framework that uses the node2vec technique, multi-scale convolutional neural networks and a sampling technique to identify essential proteins. …
Overlap Matrix Completion For Predicting Drug-Associated Indications, Menhyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Overlap Matrix Completion For Predicting Drug-Associated Indications, Menhyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Computer Science Faculty Publications
Identification of potential drug-associated indications is critical for either approved or novel drugs in drug repositioning. Current computational methods based on drug similarity and disease similarity have been developed to predict drug-disease associations. When more reliable drug- or disease-related information becomes available and is integrated, the prediction precision can be continuously improved. However, it is a challenging problem to effectively incorporate multiple types of prior information, representing different characteristics of drugs and diseases, to identify promising drug-disease associations. In this study, we propose an overlap matrix completion (OMC) for bilayer networks (OMC2) and tri-layer networks (OMC3) to predict potential drug-associated …