Ryan Kuster

ORCID: 0000-0003-2477-090X
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About
Contact & Profiles
Research Areas
  • Plant and animal studies
  • Insect and Pesticide Research
  • Insect and Arachnid Ecology and Behavior
  • Gut microbiota and health
  • Genomics and Phylogenetic Studies
  • Surgical Sutures and Adhesives
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Epigenetics and DNA Methylation
  • Plant Pathogens and Fungal Diseases
  • Bioinformatics and Genomic Networks
  • Data-Driven Disease Surveillance
  • Probiotics and Fermented Foods
  • Gene expression and cancer classification
  • Genital Health and Disease
  • Insect-Plant Interactions and Control
  • Dupuytren's Contracture and Treatments
  • Genetic Syndromes and Imprinting
  • Microbial Community Ecology and Physiology
  • Powdery Mildew Fungal Diseases

University of Tennessee at Knoxville
2021-2024

Plant (United States)
2021

University of North Carolina at Chapel Hill
2011-2018

University of North Carolina at Greensboro
2013-2016

Richard L. Roudebush VA Medical Center
2016

North Carolina State University
2013

The ectoparasitic Varroa destructor mite is a major contributor to the ongoing honey bee health crisis. interacts with viruses, exacerbating their pathogenicity. In addition vectoring immunosuppression of developing hosts by has been proposed explain synergy between viruses and mites. However, evidence for immune suppression V. contentious. We systematically studied quantitative effects experimentally introduced mites on gene expression at five specific time points during development hosts....

10.1242/jeb.097766 article EN Journal of Experimental Biology 2014-05-14

Abstract Next-generation sequencing (NGS) enables massively parallel acquisition of large-scale omics data; however, objective data quality filtering parameters are lacking. Although a useful metric, evidence reveals that platform-generated Phred values overestimate per-base scores. We have developed novel and empirically based algorithms streamline NGS filtering. The pipeline leverages known sequence motifs to enable empirical estimation error rates, detection erroneous base calls removal...

10.1093/bib/bbab092 article EN cc-by Briefings in Bioinformatics 2021-03-03

Western honey bees (Apis mellifera) far exceed the commonly observed 1–2 meiotic recombination events per chromosome and exhibit highest Metazoan rate (20 cM/Mb) described thus far. However, reasons for this exceptional of are not sufficiently understood. In a comparative study, we report on newly constructed genomic linkage maps Apis florea dorsata that represent two bee lineages without estimates so Each map was generated de novo, based SNP genotypes haploid male offspring single female....

10.1093/gbe/evw269 article EN cc-by-nc Genome Biology and Evolution 2016-11-07

Pyrus calleryana Decne. (Callery pear) includes cultivars that in the United States are popular ornamentals commercial and residential landscapes. Last few decades, this species has increasingly naturalized across portions of eastern southern US. However, mechanisms behind plant's spread not well understood. The genetic relationship present-day P.calleryana trees with their Asian P. forebears (native from China, Japan, Korea) original specimens US unknown. We developed used 18 microsatellite...

10.3390/life11060531 article EN cc-by Life 2021-06-07

Abstract Background The application of reduced metagenomic sequencing approaches holds promise as a middle ground between targeted amplicon and whole metagenome but has not been widely adopted technique. A major barrier to adoption is the lack read simulation software built handle characteristic features these novel approaches. Reduced (RMS) produces unique patterns fragmentation per genome that are sensitive restriction enzyme choice, non-uniform size selection fragments may introduce...

10.1186/s12859-024-05809-3 article EN cc-by BMC Bioinformatics 2024-05-15

This paper presents ClustFinder, a command line tool designed to automate clustering of genomes based on genomic distance. will aid researchers and public health professionals in the identification epidemiological clusters. Here, we demonstrate usage ClustFinder with example datasets. is available at github.com/Denes-Lab/ClustFinder.

10.1016/j.mimet.2023.106788 article EN cc-by-nc-nd Journal of Microbiological Methods 2023-07-17
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