Statistical Evaluation of Bacterial Source Tracking Data Obtained by rep-PCR DNA Fingerprinting ofEscherichia coli

2003 ◽  
Vol 37 (20) ◽  
pp. 4554-4560 ◽  
Author(s):  
John M. Albert ◽  
Junko Munakata-Marr ◽  
Luis Tenorio ◽  
Robert L. Siegrist
Keyword(s):  
Dna Fingerprinting ◽  
Statistical Evaluation ◽  
Ofescherichia Coli ◽  
Source Tracking ◽  
Tracking Data ◽  
Bacterial Source Tracking

Bacterial Source Tracking of Nonpoint Source Pollution Using GIS and DNA Fingerprinting Technologies

2011 ◽  
pp. 208-223
Author(s):  
M. E. Folkoff ◽  
E. A. Venso ◽  
D. W. Harris ◽  
M. F. Frana ◽  
M. S. Scott
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Dna Fingerprinting ◽  
Physical Environment ◽  
Nonpoint Source ◽  
Point Sources ◽  
Source Tracking ◽  
Great Promise ◽  
Bacterial Source Tracking

This study is only the second to use DNA fingerprinting technology in Maryland to identify fecal coliform sources in order to guide the implementation of water pollution control practices in a watershed with bacterial impairment. By combining the use of digital air photos and GPS with GIS, fieldwork is planned and conducted more efficiently because sample sites can be selected that accurately represent the physical environment of the study area. We can also return to the field and find our sample sites or locate new ones, even in the remotest part of the study area. It is also possible to more accurately map the data directly in the context of its physical environment, greatly increasing the quality of analysis. The integration of DNA fingerprinting techniques with GIS shows great promise for extending our capabilities to identify the controls on water quality and point sources of waterborne health hazards.

scholarly journals Geographic sharing of ribotype patterns in Enterococcus faecalis for bacterial source tracking

2007 ◽  
Vol 5 (4) ◽  
pp. 539-551 ◽  
Author(s):  
Peter G. Hartel ◽  
Robin L. Kuntz ◽  
Karen Rodgers ◽  
Samuel P. Myoda ◽  
Kerry J. Ritter ◽  
...  
Keyword(s):  
New York ◽  
Enterococcus Faecalis ◽  
Wastewater Treatment Plants ◽  
Geographic Distance ◽  
Similarity Index ◽  
Clonal Diversity ◽  
Mantel Test ◽  
Source Tracking ◽  
Tolerance Level ◽  
Bacterial Source Tracking

The limited host range of Enterococcus faecalis may reduce its clonal diversity and thereby increase its geographic sharing of ribotype patterns. Such sharing would be advantageous for bacterial source tracking (BST). We determined the geographic sharing of ribotype patterns in 752 Ent. faecalis isolates obtained primarily from wastewater treatment plants in Delaware (15 locations; 490 isolates), Georgia (2 locations; 48 isolates), Idaho (1 location; 118 isolates), New York (2 locations; 48 isolates), and Puerto Rico (2 locations; 48 isolates). Isolates were ribotyped with a RiboPrinter. When pooled across all locations and analyzed at a similarity index of 100% and a tolerance level of 1.00%, the 752 Ent. faecalis isolates yielded 652 different ribotypes, of which 429 (66%) were unshared. Even when the matching criterion was relaxed by decreasing the tolerance level from 1% to 10% or lowering the similarity cutoff from 100% to 90%, half or almost half of the ribotypes were unshared. A Mantel test of zero correlation showed no statistically significant correlation between ribotype patterns and geographic distance among the 32 samples (one location at one time) at either the 1.00% (P = 0.91) or 10.00% (P = 0.83) tolerance levels. Therefore, the percentage of ribotype patterns shared between two locations did not increase as the distance between locations decreased. In the case of BST, a permanent host origin database sufficiently large to encompass these ribotype patterns would be time-consuming and expensive to construct.

Application of PacBio Single Molecule Real-Time (SMRT) sequencing in bacterial source tracking analysis during milk powder production

Food Control ◽  
2018 ◽  
Vol 93 ◽  
pp. 226-234 ◽  
Author(s):  
Jicheng Wang ◽  
Yi Zheng ◽  
Xiaoxia Xi ◽  
Qiangchuan Hou ◽  
Haiyan Xu ◽  
...  
Keyword(s):  
Real Time ◽  
Single Molecule ◽  
Milk Powder ◽  
Source Tracking ◽  
Smrt Sequencing ◽  
Bacterial Source Tracking ◽  
Powder Production

Bacterial Source Tracking in Pathogen TMDL Development and Implementation Part II: Challenge and Opportunity

2003 ◽  
Vol 2003 (12) ◽  
pp. 850-868 ◽  
Author(s):  
Harry X. Zhang ◽  
Joseph T. Mauro ◽  
Lauren A. Fillmore ◽  
James Wheeler
Keyword(s):  
Source Tracking ◽  
Bacterial Source Tracking

Direct comparison of four bacterial source tracking methods and use of composite data sets

2007 ◽  
Vol 103 (2) ◽  
pp. 350-364 ◽  
Author(s):  
E.A. Casarez ◽  
S.D. Pillai ◽  
J.B. Mott ◽  
M. Vargas ◽  
K.E. Dean ◽  
...  
Keyword(s):  
Source Tracking ◽  
Data Sets ◽  
Bacterial Source Tracking ◽  
Composite Data

Identification of pets and raccoons as sources of bacterial contamination of urban storm sewers using a sequence-based bacterial source tracking method

2007 ◽  
Vol 41 (16) ◽  
pp. 3605-3614 ◽  
Author(s):  
Jeffrey L. Ram ◽  
Brooke Thompson ◽  
Carrie Turner ◽  
Jordan M. Nechvatal ◽  
Harry Sheehan ◽  
...  
Keyword(s):  
Bacterial Contamination ◽  
Source Tracking ◽  
Tracking Method ◽  
Bacterial Source Tracking ◽  
Urban Storm ◽  
Storm Sewers

Bacterial source tracking guides management of boat head waste in a coastal resort area

2010 ◽  
Vol 91 (12) ◽  
pp. 2748-2753 ◽  
Author(s):  
Michael A. Mallin ◽  
Mary I. Haltom ◽  
Bongkeun Song ◽  
Mary E. Tavares ◽  
Stephen P. Dellies
Keyword(s):  
Source Tracking ◽  
Bacterial Source Tracking

Inorganic nitrogen, sterols and bacterial source tracking as tools to characterize water quality and possible contamination sources in surface water

2012 ◽  
Vol 46 (4) ◽  
pp. 1079-1092 ◽  
Author(s):  
Vesna Furtula ◽  
Heather Osachoff ◽  
George Derksen ◽  
Hafizan Juahir ◽  
Al Colodey ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Inorganic Nitrogen ◽  
Source Tracking ◽  
Bacterial Source Tracking ◽  
Contamination Sources
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