Robert (Scott) Cornman, PhD
Scott Cornman is a Biologist at the Fort Collins Science Center.
(Robert) Scott Cornman is a Biologist at the Fort Collins Science Center. He received a Ph.D. in Genetics from the University of Georgia. He is a genomics specialist focusing on the application of SNPs, RNA-Seq, and barcode sequencing to organismal ecology and conservation.
Professional Experience
2015-present, Biologist, USGS FORT, Fort Collins, CO
2012-2015, Biologist, USGS LSC, Leetown, WV
2008-2012, Geneticist, USDA-ARS, Beltsville, MD
Education and Certifications
PhD Genetics/University of Georgia, 2006
B.A. History/Rice University, 1992
Science and Products
RNA sequencing analysis of transcriptional change in the freshwater mussel Elliptio complanata after environmentally relevant sodium chloride exposure
Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA
Available genetic data do not support adaptation of Tobacco ringspot virus to an arthropod host
A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding
Complete genome sequence of a novel aquareovirus that infects the endangered fountain darter, Etheostoma fonticola
Transcriptome discovery in non-model wild fish species for the development of quantitative transcript abundance assays
Critical considerations for the application of environmental DNA methods to detect aquatic species
Metabarcoding of fecal samples to determine herbivore diets: A case study of the endangered Pacific pocket mouse
The bee microbiome: Impact on bee health and model for evolution and ecology of host-microbe interactions
Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci
Identifying plant taxa that honey bees (Apis mellifera) forage upon is of great apicultural interest, but traditional methods are labor intensive and may lack resolution. Here we evaluate a high-throughput genetic barcoding approach to characterize trap-collected pollen from multiple North Dakota apiaries across multiple years. We used the Illumina MiSeq platform to generate sequence scaffolds fro
Z chromosome divergence, polymorphism and relative effective population size in a genus of lekking birds
Characterization of a novel hepadnavirus in the white sucker (Catostomus commersonii) from the Great Lakes Region of the USA
Science and Products
RNA sequencing analysis of transcriptional change in the freshwater mussel Elliptio complanata after environmentally relevant sodium chloride exposure
Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA
Available genetic data do not support adaptation of Tobacco ringspot virus to an arthropod host
A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding
Complete genome sequence of a novel aquareovirus that infects the endangered fountain darter, Etheostoma fonticola
Transcriptome discovery in non-model wild fish species for the development of quantitative transcript abundance assays
Critical considerations for the application of environmental DNA methods to detect aquatic species
Metabarcoding of fecal samples to determine herbivore diets: A case study of the endangered Pacific pocket mouse
The bee microbiome: Impact on bee health and model for evolution and ecology of host-microbe interactions
Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci
Identifying plant taxa that honey bees (Apis mellifera) forage upon is of great apicultural interest, but traditional methods are labor intensive and may lack resolution. Here we evaluate a high-throughput genetic barcoding approach to characterize trap-collected pollen from multiple North Dakota apiaries across multiple years. We used the Illumina MiSeq platform to generate sequence scaffolds fro