Sara J Oyler-McCance, PhD
Dr. Sara Oyler-McCance is a Supervisory Research Geneticist at the Fort Collins Science Center. She is a conservation geneticist studying a wide variety of taxa.
As a research geneticist and director of the Fort Collins Science Center’s Molecular Ecology Lab, Dr. Oyler-McCance’s research is dedicated to the application and advancement of genetic theory and techniques to address a variety of complex questions and conservation issues facing the management of the Nation's fish and wildlife resources and their habitats. Much of her research involves questions concerning threatened and endangered species, yet some involves detection of invasive species. She uses genetic and genomic methods to investigate connectivity and to identify adaptive genetic diversity, both of which are important for ensuring persistence of species of conservation concern. She explores how species are impacted by land use change and changing climates and how to give them the best chance of surviving in a changing world. Her work also explores how to optimally manage the genetic diversity within a species (for example, through translocations) and how to best inventory what species are present and the state of species well-being, persistence, or risk (that is, population size, levels of genetic diversity).
Professional Experience
March 2023 - Present: Acting Branch Chief, Ecosystem and Organismal Ecology Branch, US Geological Survey, Fort Collins Science Center, Fort Collins, Colorado
February 1999 - Present: Research Geneticist, US Geological Survey, Fort Collins Science Center, Fort Collins, Colorado
Education and Certifications
Ph.D. in Fish, Wildlife, and Conservation Biology, Colorado State University, 1999
M.S. in Wildlife Biology, University of Maine, 1993
B.S. in Biology, University of Michigan, 1991
Affiliations and Memberships*
Affiliate Faculty, Ecosystem Science and Sustainability, Colorado State University
Affiliate Faculty, Fish Wildlife and Conservation Biology, Colorado State University
Affiliate Faculty, Graduate Degree Program in Ecology, Colorado State University
Affiliate Faculty, Department of Integrative Biology, University of Colorado, Denver
Science and Products
Genomic single-nucleotide polymorphisms confirm that Gunnison and Greater sage-grouse are genetically well differentiated and that the Bi-State population is distinct
Blood from a turnip: tissue origin of low-coverage shotgun sequencing libraries affects recovery of mitogenome sequences
Two low coverage bird genomes and a comparison of reference-guided versus de novo genome assemblies
Genetic tools for wildlife management
Hierarchical spatial genetic structure in a distinct population segment of greater sage-grouse
The historical distribution of Gunnison Sage-Grouse in Colorado
Genetic characterization of the Pacific sheath-tailed bat (Emballonura semicaudata rotensis) using mitochondrial DNA sequence data
Summary of science, activities, programs, and policies that influence the rangewide conservation of Greater Sage-Grouse (Centrocercus urophasianus)
The genetic structure of a relict population of wood frogs
Development and characterization of thirteen microsatellite loci in Clark's nutcracker (Nucifraga columbiana)
Sample design effects in landscape genetics
Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
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Genomic single-nucleotide polymorphisms confirm that Gunnison and Greater sage-grouse are genetically well differentiated and that the Bi-State population is distinct
Sage-grouse are iconic, declining inhabitants of sagebrush habitats in western North America, and their management depends on an understanding of genetic variation across the landscape. Two distinct species of sage-grouse have been recognized, Greater (Centrocercus urophasianus) and Gunnison sage-grouse (C. minimus), based on morphology, behavior, and variation at neutral genetic markers. A parapaAuthorsSara J. Oyler-McCance, Robert S. Cornman, Kenneth L. Jones, Jennifer A. FikeBlood from a turnip: tissue origin of low-coverage shotgun sequencing libraries affects recovery of mitogenome sequences
Next generation sequencing methods allow rapid, economical accumulation of data that have many applications, even at relatively low levels of genome coverage. However, the utility of shotgun sequencing data sets for specific goals may vary depending on the biological nature of the samples sequenced. We show that the ability to assemble mitogenomes from three avian samples of two different tissue tAuthorsF. Keith Barker, Sara Oyler-McCance, Diana F. TombackTwo low coverage bird genomes and a comparison of reference-guided versus de novo genome assemblies
As a greater number and diversity of high-quality vertebrate reference genomes become available, it is increasingly feasible to use these references to guide new draft assemblies for related species. Reference-guided assembly approaches may substantially increase the contiguity and completeness of a new genome using only low levels of genome coverage that might otherwise be insufficient for de novAuthorsDaren C. Card, Drew R. Schield, Jacobo Reyes-Velasco, Matthre K. Fujita, Audra L. Andrew, Sara J. Oyler-McCance, Jennifer A. Fike, Diana F. Tomback, Robert P. Ruggiero, Todd A. CastoeGenetic tools for wildlife management
Granted interim status in November, 2013, The Wildlife Society’s (TWS) Molecular Ecology Working Group aims to promote scientific advancement by applying molecular techniques to wildlife ecology, management, and conservation. The working group—composed of sci - entists from diverse backgrounds—met for the first time in Pittsburgh at the TWS Annual Conference held in October. Our overarching goal iAuthorsEmily Latch, Rachel S. Crowhurst, Sara J. Oyler-McCance, Stacie RobinsonHierarchical spatial genetic structure in a distinct population segment of greater sage-grouse
Greater sage-grouse (Centrocercus urophasianus) within the Bi-State Management Zone (area along the border between Nevada and California) are geographically isolated on the southwestern edge of the species’ range. Previous research demonstrated that this population is genetically unique, with a high proportion of unique mitochondrial DNA (mtDNA) haplotypes and with significant differences in microAuthorsSara J. Oyler-McCance, Michael L. Casazza, Jennifer A. Fike, Peter S. CoatesThe historical distribution of Gunnison Sage-Grouse in Colorado
The historical distribution of Gunnison Sage-Grouse (Centrocercus minimus) in Colorado is described based on published literature, observations, museum specimens, and the known distribution of sagebrush (Artemisia spp.). Historically, Gunnison Sage-Grouse were widely but patchily distributed in up to 22 counties in south-central and southwestern Colorado. The historical distribution of this specieAuthorsClait E. Braun, Sara J. Oyler-McCance, Jennifer A. Nehring, Michelle L. Commons, Jessica R. Young, Kim M. PotterGenetic characterization of the Pacific sheath-tailed bat (Emballonura semicaudata rotensis) using mitochondrial DNA sequence data
Emballonura semicaudata occurs in the southwestern Pacific and populations on many islands have declined or disappeared. One subspecies (E. semicaudata rotensis) occurs in the Northern Mariana Islands, where it has been extirpated from all but 1 island (Aguiguan). We assessed genetic similarity between the last population of E. s. rotensis and 2 other subspecies, and examined genetic diversity onAuthorsSara J. Oyler-McCance, Ernest W. Valdez, Thomas J. O'Shea, Jennifer A. FikeSummary of science, activities, programs, and policies that influence the rangewide conservation of Greater Sage-Grouse (Centrocercus urophasianus)
The Greater Sage-Grouse, has been observed, hunted, and counted for decades. The sagebrush biome, home to the Greater Sage-Grouse, includes sagebrush-steppe and Great Basin sagebrush communities, interspersed with grasslands, salt flats, badlands, mountain ranges, springs, intermittent creeks and washes, and major river systems, and is one of the most widespread and enigmatic components of WesternAuthorsD.J. Manier, David J.A. Wood, Z.H. Bowen, R.M. Donovan, M.J. Holloran, L.M. Juliusson, K.S. Mayne, S.J. Oyler-McCance, F.R. Quamen, D.J. Saher, A.J. TitoloThe genetic structure of a relict population of wood frogs
Habitat fragmentation and the associated reduction in connectivity between habitat patches are commonly cited causes of genetic differentiation and reduced genetic variation in animal populations. We used eight microsatellite markers to investigate genetic structure and levels of genetic diversity in a relict population of wood frogs (Lithobates sylvatica) in Rocky Mountain National Park, ColoradoAuthorsRick Scherer, Erin Muths, Barry Noon, Sara Oyler-McCanceDevelopment and characterization of thirteen microsatellite loci in Clark's nutcracker (Nucifraga columbiana)
Clark’s nutcrackers are important seed dispersers for two widely-distributed western North American conifers, whitebark pine and limber pine, which are declining due to outbreaks of mountain pine beetle and white pine blister rust. Because nutcracker seed dispersal services are key to maintaining viable populations of these imperiled pines, knowledge of movement patterns of Clark’s nutcrackers helAuthorsSara J. Oyler-McCance, Jennifer A. Fike, Todd A. Castoe, Diana F. Tomback, Michael B. Wunder, Taza D. SchamingSample design effects in landscape genetics
An important research gap in landscape genetics is the impact of different field sampling designs on the ability to detect the effects of landscape pattern on gene flow. We evaluated how five different sampling regimes (random, linear, systematic, cluster, and single study site) affected the probability of correctly identifying the generating landscape process of population structure. Sampling regAuthorsSara J. Oyler-McCance, Bradley C. Fedy, Erin L. LandguthEffects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern
The influence of study design on the ability to detect the effects of landscape pattern on gene flow is one of the most pressing methodological gaps in landscape genetic research. To investigate the effect of study design on landscape genetics inference, we used a spatially-explicit, individual-based program to simulate gene flow in a spatially continuous population inhabiting a landscape with graAuthorsErin L. Landguth, Bradley C. Gedy, Sara J. Oyler-McCance, Andrew L. Garey, Sarah L. Emel, Matthew Mumma, Helene H. Wagner, Marie-Josée Fortin, Samuel A. CushmanNon-USGS Publications**
Oyler-McCance, S.J. 1999. Genetic and habitat factors underlying conservation strategies for Gunnison sage grouse [Dissert]. Fort Collins, CO: Colorado State University. 162 p.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government