Genetics and Genomics Commons^™

Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …

Resolution Of Physics And Deep Learning-Based Protein Engineering Filters: A Case Study With A Lipase For Industrial Substrate Hydrolysis, Spencer Gardiner, Peter Dollinger, Filip Kovacic, Jörge Pietruszka, Daniel Ess, Karl-Erich Jaeger, Gunnar F. Schröder, Dennis Della Corte

Faculty Publications

Computational enzyme design remains a powerful yet imperfect tool for optimizing biocatalysts, especially when targeting non-natural substrates. Using design tools we investigated Pseudomonas aeruginosa LipA, a lipase with a flexible lid domain crucial for substrate binding and turnover, aiming to enhance its hydrolysis of the industrially relevant substrate Roche ester. We generated an initial set of single-point mutations based on structural proximity to the active site and evaluated their effects using a computational pipeline integrating molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and ensemble-based energy scoring. While we identified several active variants, attempts to rank them by activity …

Quantifying Variation Across 16s Rrna Gene Sequencing Runs In Human Microbiome Studies, Andrew J. Hoisington, Christopher E. Stamper, Joseph C. Ellis, Christopher A. Lowry, Lisa A. Brenner

Faculty Publications

Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust …

Appendage Abnormalities In Spiders Induced By An Alternating Temperature Protocol In The Context Of Recent Advances In Molecular Spider Embryology, Teresa Napiorkowska, Julita Templin, Pawel Napiorkowski, Mark A. Townley

Faculty Publications

In the literature there are numerous reports of developmental deformities in arthropods collected in their natural habitat. Since such teratogenically affected individuals are found purely by chance, the causes of their defects are unknown. Numerous potential physical, mechanical, chemical, and biological teratogens have been considered and tested in the laboratory. Thermal shocks, frequently used in teratological research on the spider Eratigena atrica, have led to deformities on both the prosoma and the opisthosoma. In the 2020/2021 breeding season, by applying alternating temperatures (14 °C and 32 °C, changed every 12 h) for the first 10 days of embryonic development, …

Relative Genetic Homogeneity Within A Phenotypically Diverse Group; A Case Of The Lake Tana Labeobarbus (Cyprinidae) Species Flock, Ethiopia, Kebede Beshera

Faculty Publications

The Lake Tana Labeobarbus species flock represents one of the world’s most famous examples of lacustrine species radiations. Previous studies of this group have resulted in the description of at least 15 species based on their differences in functional morphology and definition of two clades (lacustrine and riverine spawning clades) based on life history traits. A total of 166 fish representing 14 Labeobarbus species were genotyped using 10 lineage-specific hexaploid microsatellite loci. Six of these loci were developed for this study based on DNA sequence contigs derived from a microsatellite-enriched genomic library of Labeobarbus intermedius from Lake Tana; the remaining …

Genetic Variation Among Populations Of, And Evidence Of Deep Divergence Within, The Rio Grande Chirping Frog, Eleutherodactylus Campi (Anura: Eleutherodactylidae), Kebede Beshera, Avery A. Williams Mr., John A. Hamlin Dr., Peter J. Bergeaux Mr., Christian C. Morgan Dr., Aubrey N. Armstrong Ms.

Faculty Publications

Herein we report the first molecular assessment of intra-species genetic variation and interrelationships within the Rio Grande Chirping frog, Eleutherodactylus campi. We analyzed 548 base pairs of 16S rRNA gene for 71 ingroup individuals belonging to the genus Eleutherodactylus (including 42 E. campi sampled from 15 localities in the United States and Mexico) and four outgroup samples. By unveiling two highly divergent and geographically structured clades within E. campi this study provides a novel phylogenetic placement of E. campi populations north and south of the Rio Grande Valley as sister groups to each other. The observed level of genetic …

Systematic Overexpression Of Genes Encoded By Mycobacteriophage Waterfoul Reveals Novel Inhibitors Of Mycobacterial Growth, Danielle Heller, Isabel Amaya, Aleem Mohamed, Ilzat Ali, Dmitri Mavrodi, Padraig Deighan, Viknesh Sivanathan

Faculty Publications

Bacteriophages represent an enormous reservoir of novel genes, many of which are unrelated to existing entries in public databases and cannot be assigned a predicted function. Characterization of these genes can provide important insights into the intricacies of phage–host interactions and may offer new strategies to manipulate bacterial growth and behavior. Overexpression is a useful tool in the study of gene-mediated effects, and we describe here the construction of a plasmid-based overexpression library of a complete set of genes for Waterfoul, a mycobacteriophage closely related to those infecting clinically important strains of Mycobacterium tuberculosis and/or Mycobacterium abscessus. The arrayed …

Environmental Rnai Pathways In The Two-Spotted Spider Mite, Mosharrof Mondal, Jacob Peter, Obrie Scarbrough, Alex Flynt

Faculty Publications

© 2020, The Author(s).

Background:RNA interference (RNAi) regulates gene expression in most multicellular organisms through binding of small RNA effectors to target transcripts. Exploiting this process is a popular strategy for genetic manipulation and has applications that includes arthropod pest control. RNAi technologies are dependent on delivery method with the most convenient likely being feeding, which is effective in some animals while others are insensitive. The two-spotted spider mite, Tetranychus urticae, is prime candidate for developing RNAi approaches due to frequent occurrence of conventional pesticide resistance. Using a sequencing-based approach, the fate of ingested RNAs was explored to …

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 …

Insecticidal Rna Interference, Thinking Beyond Long Dsrna, Alex S. Flynt

Faculty Publications

Over 20 years ago double-stranded RNA (dsRNA) was described as the trigger of RNAi interference (RNAi)-based gene silencing. This paradigm has held since, especially for insect biopesticide technologies where dsRNAs, similar to those described in 1998, are used to inhibit gene expression. In the intervening years, investigation of RNAi pathways has revealed the small RNA effectors of RNAi are diverse and rapidly evolving. The rich biology of insect small RNAs suggests potential to use multiple RNAi modes for manipulating gene expression. By exploiting different RNAi pathways, the menu of options for pest control can be expanded and could lead to …

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 …

Compoundhetvip: Compound Heterozygous Variant Identification Pipeline, Dustin B. Miller, Stephen R. Picollo

Faculty Publications

Compound Heterozygous ( CH) variant identification requires distinguishing maternally from paternally derived nucleotides, a process that requires numerous computational tools. Using such tools often introduces unforeseen challenges such as installation procedures that are operating-system specific, software dependencies that must be installed, and formatting requirements for input files. To overcome these challenges, we developed Compound Heterozygous Variant Identification Pipeline (CompoundHetVIP), which uses a single Docker image to encapsulate commonly used software tools for file aggregation ( BCFtools or GATK4), VCF liftover ( Picard Tools), joint-genotyping ( GATK4), file conversion ( Plink2), phasing ( SHAPEIT2, Beagle …

A Review Of Integrative Imputation For Multi-Omics Datasets, Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Hui Shen, Ping Gong, Chaoyang Zhang, Hong Wen Deng

Faculty Publications

Multi-omics studies, which explore the interactions between multiple types of biological factors, have significant advantages over single-omics analysis for their ability to provide a more holistic view of biological processes, uncover the causal and functional mechanisms for complex diseases, and facilitate new discoveries in precision medicine. However, omics datasets often contain missing values, and in multi-omics study designs it is common for individuals to be represented for some omics layers but not all. Since most statistical analyses cannot be applied directly to the incomplete datasets, imputation is typically performed to infer the missing values. Integrative imputation techniques which make use …

Exploiting Somatic Pirnas In Bemisia Tabaci Enables Novel Gene Silencing Through Rna Feeding, Mosharrof Mondal, Judith K. Brown, Alex Flynt

Faculty Publications

© This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). RNAi promises to reshape pest control by being nontoxic, biodegradable, and species specific. However, due to the plastic nature of RNAi, there is a significant variability in responses. In this study, we investigate small RNA pathways and processing of ingested RNAi trigger molecules in a hemipteran plant pest, the whitefly Bemisia tabaci. Unlike Drosophila, where the paradigm for insect RNAi technology was established, whitefly has abundant somatic piwi-associated RNAs (piRNAs). Long regarded as germline restricted, piRNAs are common in the …

Editorial: Deep Learning For Toxicity And Disease Prediction, Ping Gong, Chaoyang Zhang, Minjun Chen

Faculty Publications

No abstract provided.

Development Of Highly Sensitive Environmental Dna Methods For The Detection Of Bull Sharks, Carcharhinus Leucas (Müller And Henle, 1839), Using Droplet DigitalTm Pcr, Katherine E. Schweiss, Ryan N. Lehman, J. Marcus Drymon, Nicole M. Phillips

Faculty Publications

Background: As apex and mesopredators, elasmobranchs play a crucial role in maintaining ecosystem function and balance in marine systems. Elasmobranch populations worldwide are in decline as a result of exploitation via direct and indirect fisheries mortalities and habitat degradation; however, a lack of information on distribution, abundance, and population biology for most species hinders their effective management. Environmental DNA analysis has emerged as a cost‐effective and non‐invasive technique to fill some of these data gaps, but often requires the development of species‐specific methodologies.

Aims: Here, we established eDNA methodology appropriate for targeted species detections of Bull Sharks, Carcharhinus …

Female Family Members Lack Understanding Of Indeterminate Negative Brca1/2 Test Results Shared By Probands, Deborah Himes, Deborah K. Gibbons, Wendy C. Birmingham, Renea L. Beckstrand, Amanda Gammon, Anita Y. Kinney, Margaret F. Clayton

Faculty Publications

Genetic test results have important implications for close family members. Indeterminate negative results are the most common outcome of BRCA1/2 mutation testing. Little is known about family members’ understanding of indeterminate negative BRCA1/2 test results. The purpose of this mixed-methods study was to investigate how daughters and sisters received and understood genetic test results as shared by their mothers or sisters. Participants included 81 women aged 40-74 with mothers or sisters previously diagnosed with breast cancer and who received indeterminate negative BRCA1/2 test results. Participants had never been diagnosed with breast cancer nor received their own genetic testing or counseling. …

Does Family Communication Matter? Exploring Knowledge Of Breast Cancer Genetics In Cancer Families, Deborah Himes, Sarah H. Davis, Jane Lassetter Phd, Rn, Neil E. Peterson, Margaret F. Clayton, Wendy C. Birmingham, Anita Y. Kinney

Faculty Publications

Purpose: Knowledge of breast cancer genetics is critical for those at increased hereditary risk who must make decisions about breast cancer screening options. This descriptive study explored theory-based relationships among cognitive and emotional variables related to knowledge of breast cancer genetics in cancer families. Methods: Participants included first-degree relatives of women with breast cancer who had received genetic counseling and testing. Study participants themselves did not have breast cancer and had not received genetic counseling or testing. Data were collected by telephone interviews and surveys. Variables analyzed included numeracy, health literacy, cancer-related distress, age, education, and the reported amount of …

Tadkb:Family Classification And A Knowledge Base Of Topologically Associating Domains, Tong Liu, Jacob Porter, Chenguang Zhao, Hao Zhu, Nan Wang, Zheng Sun, Yin-Yuan Mo, Zheng Wang

Faculty Publications

Background: Topologically associating domains (TADs) are considered the structural and functional units of the genome. However, there is a lack of an integrated resource for TADs in the literature where researchers can obtain family classifications and detailed information about TADs.

Results: We built an online knowledge base TADKB integrating knowledge for TADs in eleven cell types of human and mouse. For each TAD, TADKB provides the predicted three-dimensional (3D) structures of chromosomes and TADs, and detailed annotations about the protein-coding genes and long non-coding RNAs (lncRNAs) existent in each TAD. Besides the 3D chromosomal structures inferred by population …

Military-Related Exposures, Social Determinants Of Health, And Dysbiosis: The United States-Veteran Microbiome Project (Us-Vmp), Lisa A. Brenner, Andrew J. Hoisington, Kelly A. Stearns-Yoder, Christopher E. Stamper, Jared A. Heinze, Teodor T. Postolache, Daniel A. Hadidi, Claire A. Hoffmire, Maggie A. Stanislawski

Faculty Publications

Significant effort has been put forth to increase understanding regarding the role of the human microbiome in health- and disease-related processes. In turn, the United States (US) Veteran Microbiome Project (US-VMP) was conceptualized as a means by which to serially collect microbiome and health-related data from those seeking care within the Veterans Health Administration (VHA). In this manuscript, exposures related to military experiences, as well as conditions and health-related factors among patients seen in VHA clinical settings are discussed in relation to common psychological and physical outcomes. Upon enrollment in the study, Veterans complete psychometrically sound (i.e., reliable and valid) …

Threshold-Dependent Repression Of Spl Gene Expression By Mir156/Mir157 Controls Vegetative Phase Change In Arabidopsis Thaliana, Jia He, Mingli Xu, Matthew R. Willmann, Kevin Mccormick, Tieqiang Hu, Li Yang, Colby G. Starker, Daniel F. Voytas, Blake C. Meyers, R. Scott Poethig

Faculty Publications

Vegetative phase change is regulated by a decrease in the abundance of the miRNAs, miR156 and miR157, and the resulting increase in the expression of their targets, SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors. To determine how miR156/miR157 specify the quantitative and qualitative changes in leaf morphology that occur during vegetative phase change, we measured their abundance in successive leaves and characterized the phenotype of mutations in different MIR156 and MIR157 genes. miR156/miR157 decline rapidly between leaf 1&2 and leaf 3 and decrease more slowly after this point. The amount of miR156/miR157 in leaves 1&2 greatly exceeds the …

Classifying Cancer Genome Aberrations By Their Mutually Exclusive Effects On Transcription, Jonathan B. Dayton, Stephen R. Piccolo

Faculty Publications

Background

Malignant tumors are typically caused by a conglomeration of genomic aberrations—including point mutations, small insertions, small deletions, and large copy-number variations. In some cases, specific chemotherapies and targeted drug treatments are effective against tumors that harbor certain genomic aberrations. However, predictive aberrations (biomarkers) have not been identified for many tumor types and treatments. One way to address this problem is to examine the downstream, transcriptional effects of genomic aberrations and to identify characteristic patterns. Even though two tumors harbor different genomic aberrations, the transcriptional effects of those aberrations may be similar. These patterns could be used to inform treatment …

Deep Experimental Profiling Of Microrna Diversity, Deployment, And Evolution Across The Drosophila Genus, Jaaven Mohammed, Alex S. Flynt, Alexandra M. Panzarino, Md Mosharrof Hossain Mondal, Matthew Decruz, Adam Siepel, Eric C. Lai

Faculty Publications

To assess miRNA evolution across the Drosophila genus, we analyzed several billion small RNA reads across 12 fruit fly species. These data permit comprehensive curation of species- and clade-specific variation in miRNA identity, abundance, and processing. Among well-conserved miRNAs, we observed unexpected cases of clade-specific variation in 5′ end precision, occasional antisense loci, and putatively noncanonical loci. We also used strict criteria to identify a large set (649) of novel, evolutionarily restricted miRNAs. Within the bulk collection of species-restricted miRNAs, two notable subpopulations are splicing-derived mirtrons and testes-restricted, recently evolved, clustered (TRC) canonical miRNAs. We quantified miRNA birth and death …

An Undergraduate Laboratory Manual For Analyzing A Crispr Mutant With A Predicted Role In Regeneration, Susan Walsh, Ashley Becker, Paxton S. Sickler, Damian G. Clarke, Erin Jimenez

Faculty Publications

Exposing students to undergraduate research has reportedly improved students’ development of knowledge and skills in the laboratory, self-efficacy, satisfaction with their research, retention, and perseverance when faced with obstacles. Furthermore, utilizing authentic course-based undergraduate research experiences (CUREs) includes all students enrolled in the class, giving those who may not otherwise have access to an independent undergraduate research project an opportunity to engage in the scientific process in context of an original, unanswered question. In the fall of 2016, second semester introductory biology students conducted a semester-long research project on the transcription factor Lin28a to determine the effect of Lin28a on …

In Vivo Cloning Of Up To 16 Kb Plasmids In E. Coli Is As Simple As Pcr, Faqing Huang, Joseph Rankin Spengler, Allen Yang Huang

Faculty Publications

The precise assembly of defined DNA sequences into plasmids is an essential task in bioscience research. While a number of molecular cloning techniques have been developed, many methods require specialized expensive reagents or laborious experimental procedure. Not surprisingly, conventional cloning techniques based on restriction digestion and ligation are still commonly used in routine DNA cloning. Here, we describe a simple, fast, and economical cloning method based on RecA- and RecET-independent in vivo recombination of DNA fragments with overlapping ends using E. coli. All DNA fragments were prepared by a 2-consecutive PCR procedure with Q5 DNA polymerase and used …

Rolling Circle Mutagenesis Of Gst-Mcherry To Understand Mutation, Gene Expression, And Regulation, Jessica Cole, Amanda Ferguson, Veronica A. Segarra, Susan Walsh

Faculty Publications

Undergraduates are often familiar with textbook examples of human mutations that affect coding regions and the subsequent disorders, but they may struggle with understanding the implications of mutations in the regulatory regions of genes. We have designed a laboratory sequence that will allow students to explore the effect random mutagenesis can have on protein function, expression, and ultimately phenotype. Students design and perform a safe and time-efficient random mutagenesis experiment using error-prone rolling circular amplification of a plasmid expressing the inducible fusion protein glutathione S-transferase (GST)-mCherry. Mutagenized and wild-type control plasmid DNA, respectively, are then purified and transformed into bacteria …

An Expanded Evaluation Of Protein Function Prediction Methods Shows An Improvement In Accuracy, Yuxiang Jiang, Tal Ronnen Oron, Wyatt T. Clark, Asma R. Bankapur, Daniel D'Andrea, Rosalba Lepore, Christopher S. Funk, Indika Kahanda, Karin M. Verspoor, Asa Ben-Hur, Da Chen Emily Koo, Duncan Penfold-Brown, Dennis Shasha, Noah Youngs, Richard Bonneau, Alexandra Lin, Sayed M.E. Sahraeian, Pier Luigi Martelli, Giuseppe Profiti, Rita Casadio, Renzhi Cao, Zhaolong Zhong, Jianlin Cheng, Adrian Altenhoff, Nives Skunca, Christophe Dessimoz, Tunca Dogan, Kai Hakala, Suwisa Kaewphan, Farrokh Mehryar, Tapio Salakoski, Filip Ginter, Hai Fang, Ben Smithers, Matt Oates, Julian Gough, Petri Törönen, Patrik Koskinen, Liisa Holm, Ching-Tai Chen, Wen-Lian Hsu, Kevin Bryson, Domenico Cozzetto, Federico Minneci, David T. Jones, Samuel Chapan, Dukka Bkc, Ishita K. Khan, Daisuke Kihara, Dan Ofer, Nadav Rappoport, Amos Stern, Elenia Cibrian-Uhalte, Paul Denny, Rebecca E. Foulger, Reija Hieta, Duncan Legge, Ruth C. Lovering, Michele Magrane, Anna N. Melidoni, Prudence Mutowo-Meullenet, Klemens Pichler, Aleksandra Shypitsyna, Biao Li, Pooya Zakeri, Sarah Elshal, Léon-Charles Tranchevent, Sayoni Das, Natalie L. Dawson, David Lee, Jonathan G. Lees, Ian Stilltoe, Prajwal Bhat, Tamás Nepusz, Alfonso E. Romero, Rajkumar Sasidharan, Haixuan Yang, Alberto Paccanaro, Jesse Gillis, Adriana E. Sedeño-Cortés, Paul Pavlidis, Shou Feng, Juan M. Cejuela, Tatyana Goldberg, Tobias Hamp, Lothar Richter, Asaf Salamov, Toni Gabaldon, Marina Marcet-Houben, Fran Supek, Qingtian Gong, Wei Ning, Yuanpeng Zhou, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Stefano Toppo, Carlo Ferrari, Manuel Giollo, Damiano Piovesan, Silvio C.E. Tosatto, Angela Del Pozo, José M. Fernández, Paolo Maietta, Alfonso Valencia, Michael L. Tress, Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Alessandro Savino, Hafeez Ur Rehman, Matteo Re, Marco Mesiti, Giorgio Valentini, Joachim W. Bargsten, Aalt D.J. Van Dijk, Branislava Gemovic, Sanja Glisic, Vladmir Perovic, Veljko Veljkovic, Nevena Veljkovic, Danillo C. Almeida-E-Silva, Ricardo Z.N. Vencio, Malvika Sharan, Jörg Vogel, Lakesh Kansakar, Shanshan Zhang, Slobodan Vucetic, Zheng Wang, Michael J.E. Sternberg, Mark N. Wass, Rachael P. Huntley, Maria J. Martin, Claire O'Donovan, Peter N. Robinson, Yves Moreau, Anna Tramontano, Patricia C. Babbitt, Steven E. Brenner, Michal Linial, Christine A. Orengo, Burkhard Rost, Casey S. Greene, Sean D. Mooney, Iddo Friedberg, Predrag Radivojac

Faculty Publications

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging.

Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict …

Developmental Functions Of Mir156-Regulated Squamosa Promoter Binding Protein-Like (Spl) Genes In Arabidopsis Thaliana, Mingli Xu, Tieqiang Hu, Jianfei Zhao, Mee-Yeon Park, Keith W. Earley, Gang Wu, Li Yang, R. Scott Poethig

Faculty Publications

Correct developmental timing is essential for plant fitness and reproductive success. Two important transitions in shoot development—the juvenile-to-adult vegetative transition and the vegetative-to-reproductive transition—are mediated by a group of genes targeted by miR156, SQUAMOSA PROMOTER BINDING PROTEIN (SBP) genes. To determine the developmental functions of these genes in Arabidopsis thaliana, we characterized their expression patterns, and their gain-of-function and loss-of-function phenotypes. Our results reveal that SBP-LIKE (SPL) genes in Arabidopsis can be divided into three functionally distinct groups: 1) SPL2, SPL9, SPL10, SPL11, SPL13 and SPL15 contribute to both the juvenile-to-adult vegetative transition …

A Comparative Study Of K-Spectrum-Based Error Correction Methods For Next-Generation Sequencing Data Analysis, Isaac Akogwu, Nan Wang, Chaoyang Zhang, Ping Gong

Faculty Publications

Background: Innumerable opportunities for new genomic research have been stimulated by advancement in high-throughput next-generation sequencing (NGS). However, the pitfall of NGS data abundance is the complication of distinction between true biological variants and sequence error alterations during downstream analysis. Many error correction methods have been developed to correct erroneous NGS reads before further analysis, but independent evaluation of the impact of such dataset features as read length, genome size, and coverage depth on their performance is lacking. This comparative study aims to investigate the strength and weakness as well as limitations of some newest k-spectrum-based methods and …

Drosophila Snap-29 Is An Essential Snare That Binds Multiple Proteins Involved In Membrane Traffic, Hao Xu, Mahmood Mohtashami, Bryan Stewart, Gabrielle Boulianne, William S. Trimble

Faculty Publications

Each membrane fusion event along the secretory and endocytic pathways requires a specific set of SNAREs to assemble into a 4-helical coiled-coil, the so-called trans-SNARE complex. Although most SNAREs contribute one helix to the trans-SNARE complex, members of the SNAP-25 family contribute two helixes. We report the characterization of the Drosophila homologue of SNAP-29 (dSNAP-29), which is expressed throughout development. Unlike the other SNAP-25 like proteins in fruit fly (i.e., dSNAP-25 and dSNAP-24), which form SDS-resistant SNARE complexes with their cognate SNAREs, dSNAP-29 does not participate in any SDS-resistant complexes, despite its interaction with dsyntaxin1 and dsyntaxin 16 in vitro. …