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Applied and Environmental Microbiology, December 1999, p. 5522-5531, Vol. 65, No. 12
Department of Crop and Soil Environmental
Sciences, Virginia Polytechnic Institute and State University,
Blacksburg, Virginia 24061
Received 4 June 1999/Accepted 12 September 1999
Nonpoint sources of pollution that contribute fecal bacteria to
surface waters have proven difficult to identify. Knowledge of
pollution sources could aid in restoration of the water quality, reduce
the amounts of nutrients leaving watersheds, and reduce the danger of
infectious disease resulting from exposure to contaminated waters.
Patterns of antibiotic resistance in fecal streptococci were analyzed
by discriminant and cluster analysis and used to identify sources of
fecal pollution in a rural Virginia watershed. A database consisting of
patterns from 7,058 fecal streptococcus isolates was first established
from known human, livestock, and wildlife sources in Montgomery County,
Va. Correct fecal streptococcus source identification averaged 87% for
the entire database and ranged from 84% for deer isolates to 93% for
human isolates. To field test the method and the database, a watershed
improvement project (Page Brook) in Clarke County, Va., was initiated
in 1996. Comparison of 892 known-source isolates from that watershed
against the database resulted in an average correct classification rate of 88%. Combining all animal isolates increased correct classification rates to
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Copyright © 1999, American Society for Microbiology. All rights reserved.
Determining Sources of Fecal Pollution in a Rural
Virginia Watershed with Antibiotic Resistance Patterns in
Fecal Streptococci
95% for separations between animal and human sources. Stream samples from three collection sites were highly contaminated, and fecal streptococci from these sites were classified as being predominantly from cattle (>78% of isolates), with small proportions from waterfowl, deer, and unidentified sources (
7% each). Based on
these results, cattle access to the stream was restricted by installation of fencing and in-pasture watering stations. Fecal coliforms were reduced at the three sites by an average of 94%, from
prefencing average populations of 15,900 per 100 ml to postfencing average populations of 960 per 100 ml. After fencing, <45% of fecal
streptococcus isolates were classified as being from cattle. These
results demonstrate that antibiotic resistance profiles in fecal
streptococci can be used to reliably determine sources of fecal
pollution, and water quality improvements can occur when efforts to
address the identified sources are made.
*
Corresponding author. Mailing address: Department of
Crop and Soil Environmental Sciences, VPI & SU, Smyth Hall,
Blacksburg, VA 24061-0404. Phone: (540) 231-4895. Fax: (540)
231-3431. E-mail: chagedor{at}vt.edu.
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