Drug resistance, source, and environmental factors that influence fecal coliform levels of Tillamook Bay Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gq67jv35j

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • In order to determine the source of bacteria in Tillamook Bay, Oregon, water samples were collected monthly for six months during the rainy season from October 1975 through March 1976 from the bay and its tributaries, the Kilchis, Trask, Tillamook, and Wilson Rivers. Fecal coliform levels of these samples were determined and the 1,917 bacteria isolated were tested for their resistance patterns to chloramphenicol (Cm), streptomycin (Sm), ampicillin (Am), tetracycline (Tc), chlortetracycline (Ct), oxytetracycline (Ot), neomycin (Nm), nitrofurazone (Ni), nalidixic acid (Na), sulfathiazole (Su), kanamycin (Km), and procaine penicillin G (Pe). The fecal coliform count per 100 ml of bay water ranged from 3.6 to 42.0. The counts for Tillamook River ranged from 13.5 to 112.0, Trask River from 0.0 to 132.0, Wilson River from 8.5 to 105.0, and Kilchis River from 0.5 to 13.9. The rise and fall of fecal coliform levels were characteristic of the sampling date and each sampling station showed its characteristic maximum and minimum levels. The 1,917 fecal coliform isolates showed 176 different resistance patterns to the 12 antibiotics tested. None of the patterns, however, was characteristic of any specific sampling site. The fecal coliform counts of the bay were statistically compared to 135 independent variables that included the fecal coliform counts of tributaries, temperature, river flow data, tide information, antibiotic use data, and the antibiotic resistance patterns. Bay fecal coliform levels were highly correlated with the fecal coliform counts of tributaries especially those of the Trask and Wilson Rivers, degree of resistance to antibiotics, recreational activities, and precipitation. Negative correlation existed between bay fecal coliform count and the ambient temperature. two potentially useful linear regression models to predict bay fecal coliform level were developed using a computerized stepwise multiple linear regression program.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Scamax Scan+ V.1.0.32.10766 on a Scanmax 412CD by InoTec in PDF format. LuraDocument PDF Compressor V.5.8.71.50 used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-01-26T18:19:59Z (GMT) No. of bitstreams: 1 KELCHWILLIAM1977.pdf: 910241 bytes, checksum: f14bac6bc7e4e7ca2f027f4fcc4baa0d (MD5)
  • description.provenance : Submitted by Erin Clark (ecscannerosu@gmail.com) on 2011-12-19T21:40:49Z No. of bitstreams: 1 KELCHWILLIAM1977.pdf: 910241 bytes, checksum: f14bac6bc7e4e7ca2f027f4fcc4baa0d (MD5)
  • description.provenance : Made available in DSpace on 2012-01-26T18:19:59Z (GMT). No. of bitstreams: 1 KELCHWILLIAM1977.pdf: 910241 bytes, checksum: f14bac6bc7e4e7ca2f027f4fcc4baa0d (MD5) Previous issue date: 1977-02-15
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2011-12-20T16:27:48Z (GMT) No. of bitstreams: 1 KELCHWILLIAM1977.pdf: 910241 bytes, checksum: f14bac6bc7e4e7ca2f027f4fcc4baa0d (MD5)

Relationships

In Administrative Set:
Last modified: 08/15/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items