The Molecular Ecology Laboratory applies genetic and genomic technologies to address a variety of complex questions and conservation issues facing the management of the Nation's fish and wildlife resources. Together with our partners, we design and implement studies to document genetic diversity and the distribution of genetic variation among individuals, populations, and species. Information from these studies is used to support wildlife-management planning and conservation actions. Current and past studies have provided information to assess taxonomic boundaries, inform listing decisions made under the Endangered Species Act, identify unique or genetically depauperate populations, estimate population size or survival rates, develop management or recovery plans, breed wildlife in captivity, relocate wildlife from one location to another, and assess the effects of environmental change.
Conservation genomics is a new field of science that applies novel whole-genome sequencing technology to problems in conservation biology. Rapidly advancing molecular technologies are revolutionizing wildlife ecology, greatly expanding our understanding of wildlife and their interactions with the environment. In the same way that molecular tools such as microsatellites revolutionized wildlife management in the past, evolving genomic-level data collection techniques are beginning to offer powerful ways to assess biodiversity, taxonomy, hybridization, diets, demography, disease resistance and outbreaks, and even local adaptation.
Landscape genetics is a recently developed discipline that involves the merger of molecular population genetics and landscape ecology. The goal of this new field of study is to provide information about the interaction between landscape features and microevolutionary processes such as gene flow, genetic drift, and selection allowing for the understanding of processes that generate genetic structure across space.
Population genetics is an area of research that examines the distribution of genetic variation and levels of genetic diversity within and between populations. This information provides insights into the level of connectedness of populations throughout a species’ range and can be used to identify unique populations or those with low levels of genetic diversity.
Molecular tagging is a new application of molecular genetic techniques to traditional mark-recapture methodology designed to address situations where traditional methods fail. In such studies, non-invasively collected samples (such as feces, feathers, or fur) are used as a source of DNA that is then genotyped at multiple loci such that each individual animal can be uniquely identified. Thus, each individual’s DNA represents a unique tag analogous to a band or other mark used in traditional mark-recapture studies.
Environmental DNA (eDNA) is organismal DNA that can be found in the environment. Environmental DNA originates from cellular material shed by organisms (via skin, excrement, etc.) into aquatic or terrestrial environments that can be sampled and monitored using new molecular methods. Such methodology is important for the early detection of invasive species as well as the detection of rare and cryptic species.
Taxonomic uncertainty can be assessed using genetic data, along with other lines of evidence (such as morphological and behavioral characteristics). Such data can be used to identify and assess taxonomic boundaries (species, subspecies, hybrids) and in many cases redefine them. Such delineations are highly relevant for species status determinations (endangered, threatened, or at-risk).
Family Relationships and Mating Systems
Family relationships and mating systems can be investigated and defined using genetic data. This information is potentially important for conservation and management as it may influence effective population size and levels of genetic diversity.
Population models can incorporate genetic data to assess potential impacts of different management strategies on connectivity, effective population size, and genetic diversity.
Below are other science projects associated with this project.
Rusty Patched Bumble Bee Pollen Metagenome
Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17a-ethinylestradiol)
Metabarcoding of Feces of Pacific Walruses and Autosomal DNA Sequence Data of Marine Invertebrates, 2012-2015, Alaska
Genetic detection of Lake Sinai Virus in honey bees (Apis mellifera) and other insects
Sample collection information and whole genome data for Greater and Gunnison Sage-grouse range generated in the Molecular Ecology Lab during 2015-2018
Genetic data and genetic network attributes for rangewide Greater Sage-grouse network constructed in 2018 (ver. 2.0, December 2022)
Dataset: Molecular identification of honey bee collected pollen in the Northern Great Plains, 2015-2016
Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016
Metagenomic detection and reconstruction of Lake Sinai Virus from honey bee sequence data
Metagenetic analysis of stream community composition based on environmental DNA
Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005-2015 (ver. 2.0, December 2022)
Indiana Bat fecal DNA study, Indianapolis, IN Summer 2008
Below are multimedia items associated with this project.
Historical effective population size of North American hoary bat (Lasiurus cinereus) and challenges to estimating trends in contemporary effective breeding population size from archived samples
Genome sequences of 26 white sucker hepatitis B virus isolates from white sucker, catostomus commersonii, inhabiting transboundary waters from Alberta, Canada, to the Great Lakes, USA
Composition and distribution of fish environmental DNA in an Adirondack watershed
Phylogeographic genetic diversity in the white sucker hepatitis B Virus across the Great Lakes Region and Alberta, Canada
A century of pollen foraging by the endangered rusty patched bumble bee (Bombus affinis): Inferences from molecular sequencing of museum specimens
Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol)
DNA metabarcoding of feces to infer summer diet of Pacific walruses
An updated genetic marker for detection of Lake Sinai Virus and metagenetic applications
Forage and habitat for pollinators in the northern Great Plains—Implications for U.S. Department of Agriculture conservation programs
Draft genome of an adomavirus associated with raised mucoid skin lesions on smallmouth bass (Micropterus dolomieu)
Relative abundance and molecular evolution of Lake Sinai Virus (Sinaivirus) clades
Molecular characterization of Bathymodiolus mussels and gill symbionts associated with chemosynthetic habitats from the U.S. Atlantic margin
Below are partners associated with this project.
The Molecular Ecology Laboratory applies genetic and genomic technologies to address a variety of complex questions and conservation issues facing the management of the Nation's fish and wildlife resources. Together with our partners, we design and implement studies to document genetic diversity and the distribution of genetic variation among individuals, populations, and species. Information from these studies is used to support wildlife-management planning and conservation actions. Current and past studies have provided information to assess taxonomic boundaries, inform listing decisions made under the Endangered Species Act, identify unique or genetically depauperate populations, estimate population size or survival rates, develop management or recovery plans, breed wildlife in captivity, relocate wildlife from one location to another, and assess the effects of environmental change.
Conservation genomics is a new field of science that applies novel whole-genome sequencing technology to problems in conservation biology. Rapidly advancing molecular technologies are revolutionizing wildlife ecology, greatly expanding our understanding of wildlife and their interactions with the environment. In the same way that molecular tools such as microsatellites revolutionized wildlife management in the past, evolving genomic-level data collection techniques are beginning to offer powerful ways to assess biodiversity, taxonomy, hybridization, diets, demography, disease resistance and outbreaks, and even local adaptation.
Landscape genetics is a recently developed discipline that involves the merger of molecular population genetics and landscape ecology. The goal of this new field of study is to provide information about the interaction between landscape features and microevolutionary processes such as gene flow, genetic drift, and selection allowing for the understanding of processes that generate genetic structure across space.
Population genetics is an area of research that examines the distribution of genetic variation and levels of genetic diversity within and between populations. This information provides insights into the level of connectedness of populations throughout a species’ range and can be used to identify unique populations or those with low levels of genetic diversity.
Molecular tagging is a new application of molecular genetic techniques to traditional mark-recapture methodology designed to address situations where traditional methods fail. In such studies, non-invasively collected samples (such as feces, feathers, or fur) are used as a source of DNA that is then genotyped at multiple loci such that each individual animal can be uniquely identified. Thus, each individual’s DNA represents a unique tag analogous to a band or other mark used in traditional mark-recapture studies.
Environmental DNA (eDNA) is organismal DNA that can be found in the environment. Environmental DNA originates from cellular material shed by organisms (via skin, excrement, etc.) into aquatic or terrestrial environments that can be sampled and monitored using new molecular methods. Such methodology is important for the early detection of invasive species as well as the detection of rare and cryptic species.
Taxonomic uncertainty can be assessed using genetic data, along with other lines of evidence (such as morphological and behavioral characteristics). Such data can be used to identify and assess taxonomic boundaries (species, subspecies, hybrids) and in many cases redefine them. Such delineations are highly relevant for species status determinations (endangered, threatened, or at-risk).
Family Relationships and Mating Systems
Family relationships and mating systems can be investigated and defined using genetic data. This information is potentially important for conservation and management as it may influence effective population size and levels of genetic diversity.
Population models can incorporate genetic data to assess potential impacts of different management strategies on connectivity, effective population size, and genetic diversity.
Below are other science projects associated with this project.
Rusty Patched Bumble Bee Pollen Metagenome
Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17a-ethinylestradiol)
Metabarcoding of Feces of Pacific Walruses and Autosomal DNA Sequence Data of Marine Invertebrates, 2012-2015, Alaska
Genetic detection of Lake Sinai Virus in honey bees (Apis mellifera) and other insects
Sample collection information and whole genome data for Greater and Gunnison Sage-grouse range generated in the Molecular Ecology Lab during 2015-2018
Genetic data and genetic network attributes for rangewide Greater Sage-grouse network constructed in 2018 (ver. 2.0, December 2022)
Dataset: Molecular identification of honey bee collected pollen in the Northern Great Plains, 2015-2016
Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016
Metagenomic detection and reconstruction of Lake Sinai Virus from honey bee sequence data
Metagenetic analysis of stream community composition based on environmental DNA
Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005-2015 (ver. 2.0, December 2022)
Indiana Bat fecal DNA study, Indianapolis, IN Summer 2008
Below are multimedia items associated with this project.
Historical effective population size of North American hoary bat (Lasiurus cinereus) and challenges to estimating trends in contemporary effective breeding population size from archived samples
Genome sequences of 26 white sucker hepatitis B virus isolates from white sucker, catostomus commersonii, inhabiting transboundary waters from Alberta, Canada, to the Great Lakes, USA
Composition and distribution of fish environmental DNA in an Adirondack watershed
Phylogeographic genetic diversity in the white sucker hepatitis B Virus across the Great Lakes Region and Alberta, Canada
A century of pollen foraging by the endangered rusty patched bumble bee (Bombus affinis): Inferences from molecular sequencing of museum specimens
Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol)
DNA metabarcoding of feces to infer summer diet of Pacific walruses
An updated genetic marker for detection of Lake Sinai Virus and metagenetic applications
Forage and habitat for pollinators in the northern Great Plains—Implications for U.S. Department of Agriculture conservation programs
Draft genome of an adomavirus associated with raised mucoid skin lesions on smallmouth bass (Micropterus dolomieu)
Relative abundance and molecular evolution of Lake Sinai Virus (Sinaivirus) clades
Molecular characterization of Bathymodiolus mussels and gill symbionts associated with chemosynthetic habitats from the U.S. Atlantic margin
Below are partners associated with this project.