United States Environmental Protection Agency

Office of Research and Development

National Exposure Research Laboratory
Research Abstract

Government Performance Results Act (GPRA) Goal 8
Annual Performance Measure 66

Significant Research Findings:

Report on the Effectiveness of Genetic Marker Methods as
Indicators of Condition of Eastern U.S. Streams

Scientific
Problem and
Policy Issues

Research
Approach

ORD's Ecological Research Strategy calls for the "development of a set of
indicators for estuarine, stream and lake systems that can be interpreted relative to
the status and changes in fundamental ecological and hydrologic processes that
influence and constrain the integrity and sustainability of these systems." Existing
ecological indicators fall short of this goal, and the EPA is working to develop
new, innovative methods that fill key information gaps. Measures of genetic
diversity within species have been suggested as potentially powerful indicators of
ecological condition. Genetic diversity is a key component of biodiversity. It is
shaped by environmental forces and helps determine future population risks, thus
genetic diversity measures are potentially both prospective and retrospective
indicators of the condition of populations. While measures of genetic diversity
within species have great potential, they have not been thoroughly analyzed as
tools for regional monitoring and assessment programs. This report summarizes
work by the EPA to gauge the effectiveness of measures of genetic diversity
within stream fish species as one component of a regional monitoring and
assessment program.

The main objective of this study is to evaluate the potential of recent DNA marker
technologies to contribute to regional assessments of ecological condition.

Several key subobjectives are considered:

(1) Can molecular population genetic methods be used to delineate
biogeographic boundaries between stream fish populations? These
biogeographic boundaries define the fundamental units of ecological
organization and are key to interpretation of environmental assessment
data.

(2)	Does the amount of molecular genetic diversity within stream fish
populations vary among streams? If so, does this measure of genetic
diversity correlate with key measures of environmental condition?

(3)	What is the most efficient design for a regional genetic monitoring

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program? Design questions include choice of the most appropriate
molecular marker technology, sampling issues, and laboratory and
analytical resource requirements.

These objectives are evaluated based on results of pilot studies of genetic
diversity in two stream fish species common to Eastern U.S. streams. Sample sites
were probabilistically chosen as part of Regional Environmental Monitoring and
Assessment Program (REMAP) and Environmental Monitoring and Assessment
Program (EMAP) assessments. Samples were analyzed using a number of
different genetic methods, including RAPD, AFLP, and mitochondrial DNA
sequencing.

Results and	Results of the pilot studies indicate that incorporation of molecular genetic

Impact	information into regional ecological assessments could have great value. Genetic

differences between populations of two common minnow species (central
stoneroller and creek chub) were shown to be very large. Sample sites could be
clustered into groups such that all sites within a group were genetically and
demographically related, but different groups were highly independent.
Biogeographic boundaries could be defined based on these groupings that
appeared to be similar to, although not identical to, watersheds or U.S. Geological
Survey hydrologic units.

Levels of molecular genetic diversity within sites differed significantly across the
sites, regardless of the type of molecular marker used to assess genetic diversity.
Levels of genetic diversity appear to correlate with key environmental factors,
although the significance of this correlation may vary with species. Genetic
diversity of creek chubs in the Allegheny Plateau Ecoregion is strongly associated
with levels of nitrogen, phosphorous, organic carbon, and pH.

While results are largely comparable for different molecular markers, the results
suggest that RAPD technology is not cost-effective relative to other options. At
present, it is recommended that a dedicated molecular marker laboratory be
enlisted to aid in regional genetic assessments, but this will change as the cost and
expertise needed for DNA-level analyses diminishes. Theoretical considerations
suggest that genetic data will be particularly informative in the context of temporal
monitoring, and regional assessments should be designed with this capability in
mind.

This research supports ORD's research to improve the scientific foundation of
ecological risk assessment under the Government Performance and Results Act
(GPRA) Goal 8.1.1 (Sound Science, Improved Understanding of Environmental
Risk and Greater Innovation to Address Environmental Problems).

These diagnostic indicator development studies address the Goal 8.1 Multiyear
Plan Programmatic Long-Term Goal for Ecological Protection:

"Condition Research": "The States and Tribes assess the condition of all

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their waters in a scientifically-defensible and representative fashion that
allows aggregation and assessment of trends at multiple scales."

2006 Interim Goal: "Method to effectively monitor trends in
environmental condition with known confidence are available to EPA,
the States and Tribes."

2006 Annual Performance Goal (APG): "Use of probability sampling for
detecting trends in ecosystem condition established."

The work is of primary importance to EPA's EMAP and REMAP programs and
similar State and Tribal environmental assessment programs.

This research was conducted primarily by a team of National Exposure Research
Laboratory (NERL) Ecological Exposure Research Division (EERD) staff
scientists. Significant collaborators include the Ohio EPA and EPA Region 5
Office. Contractor assistance in collecting samples and performing molecular
marker analyses was provided by Sobran, Inc. Preliminary research findings
were presented at the scientific conferences for the Society for Environmental
Toxicology and Chemistry (2000, 2001) and the American Society of Ichthyology
and Herpetology (2002). The following publications resulted from this research
effort:

Silbiger, R.N., Leonard, A.C., Dimsoski, P., Fore, S., Guttman, S.I., Roth A.C., Gordon, D.A.,
Wessendarp, T.,Toth, G.P. and Smith, M.K.. Use of Molecular Markers to Study the Effects of
Environmental Impacts on Genetic Diversity in Brown Bullhead (Ameirus nebulosus)
Populations. Environmental Toxicology and Chemistry 20(ll):2580-2587,2001.

Silbiger, R.N., Christ, S.A., Leonard, A.C., Garg, M., Dawes, S., Dimsoski, P., McCormick, F.,
Wessendarp, T., Gordon, D.A., Roth, A.C., Smith, M.K., Toth, G.P. Preliminary studies on
the population genetics of the central stoneroller (Campostoma anomalum) from the Great
Miami River Basin, Ohio. Environmental Monitoring and Assessment 51: 481-495, 1998.

Leonard, A.C., Franson, S.E., Hertzberg, V.S., Smith, M.K., Toth, G.P. Hypothesis testing with the
similarity index. Molecular Ecology 8:2105-2114, 1999.

Christ, S.A., Silbiger, R.N., Garg, M., Franson, S.E., Toth, G.P. Quality assurance considerations
for use of the Fluorimager SI and FragmeNTanalysis software. Electrophoresis 21: 874-888,
2000.

Future Research Our research results to date indicate that measures of genetic diversity are

informative for assessment of ecological condition because they help define
ecological units and appear to be responsive to environmental stresses. However,
measures of genetic diversity may have still greater importance as measures of
population vulnerability. This is because the capacity for populations to respond
(adapt) to environmental change is proportional to the amount of genetic diversity
within the populations. Planned research focuses on experimental determination
of the importance of genetic diversity for buffering aquatic populations against
environmental variability and predicting population vulnerability.

Research
Collaboration and
Research
Products

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A second research focus is to evaluate the benefits of integrating genetic
diversity measures, landscape indicators and population modeling tools into a
single ecological assessment. The research is premised on the idea that genetic
and demographic changes in population are linked and both should be tied to
landscape-level changes.

Finally, ongoing research is aimed at evaluating the utility of long-term genetic
monitoring of fish populations as an indicator of trends in the condition of
aquatic ecosystems. This effort is in collaboration with the Department of
Fisheries and Oceans, Canada, and uses a DNA archive that goes back 25 years
for fish populations that have been experimentally exposed to a variety of
stressors.

Contacts for

Additional

Information

Questions and inquiries on this research can be directed to:
Mark Bagley, Ph.D.

U.S. EPA, Office of Research and Development
National Exposure Research Laboratory
Cincinnati, OH 45268
Phone: 513/569-7455

E-mail: bagley.mark@epa.gov

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