Identification process enhanced for bacterial pollution in watershedsIdentification process enhanced for bacterial pollution in watersheds
Before BST, many computer models attributed much of the bacterial contributions to cattle because this was one of the few sources for which there was sufficient data. BST has shown wildlife to be primary contributor of E. coli.
December 20, 2016
For more than a decade, the Texas Bacterial Source Tracking Program has improved the identification process for bacterial pollution sources in watersheds across Texas, helping restore water quality and protect human health, according to a Texas Water Resources Institute (TWRI) official.
“Because of the efforts of this joint program with the Texas Water Resources Institute, Texas A&M AgriLife Research and The University of Texas Health Science Center at Houston School of Public Health in El Paso (Texas), bacterial pollution sources in watersheds can now be characterized more precisely,” said Dr. Kevin Wagner, Texas Water Resources Institute deputy director in College Station, Texas. “As a result, we can now take more targeted and effective approaches to watershed restoration.”
The program is made up of a team of researchers, including Wagner, Dr. Terry Gentry of AgriLife Research’s department of soil and crops sciences, Dr. George Di Giovanni of the University of Texas Health School of Public Health in El Paso, Dr. Lucas Gregory of TWRI and others.
“The program has filled a need in the state’s water quality efforts that no other program was delivering, that of in-stream measurements of human and animal sources of bacterial pollution,” Wagner said.
He said identifying bacterial pollution is important because bacteria is the number-one pollutant of Texas water bodies, with 255 water bodies in the state currently failing to meet water quality standards due to excessive levels of bacteria.
Bacterial source tracking (BST) is an assessment tool that uses DNA fingerprinting and other genetic and phenotypic tests to differentiate among wildlife, pets, livestock or human sources of fecal bacteria, including Escherichia coli, bacteroidales and enterococci, according to Di Giovanni.
“The premise is that DNA fingerprinting can identify source-specific bacterial strains that have adapted to the unique gut environments of different animal hosts,” he said.
Gregory, who has been involved in the collection of known source fecal samples and data assessment, said E. coli is the state’s indicator bacterium of choice for assessing the safety of fresh water for swimming and other recreation. Water samples with E. coli are cultured in a laboratory and analyzed using DNA fingerprinting. The researchers also DNA fingerprint E. coli collected from the predominant animal species in the watershed.
“Then, by comparing the two fingerprints, the sources of E. coli in that watershed can be identified,” Gregory said.
The researchers found wildlife to be the largest source of E. coli in Texas rural watersheds tested to date, with feral hogs being among the first or second most commonly detected source of E. coli.
“The tendency of feral hogs to concentrate in riparian zones may exacerbate their impact in rural watersheds,” Gentry said.
“Livestock can also be substantial contributors of E. coli, but they generally have lower contributions than computer models estimate,” he said. “Agricultural best management practices, such as rotational grazing, riparian protection and providing alternative water supplies, can greatly decrease both livestock and wildlife contributions.”
Di Giovanni said the team’s findings have led to a better understanding of human health risks for recreation in rural water bodies impaired with bacteria from wildlife.
“Although wildlife feces may be a source of zoonotic pathogens — that is, those transmitted from animals to humans — generally speaking, the risk to humans may be lower than exposure to water contaminated with human sewage,” he said.
Over the years, the team has expanded the number of animal species and regions represented in a statewide sampling library for which Di Giovanni’s and Gentry’s labs oversee and maintain data and bacterial culture collections.
Di Giovanni said the library currently contains more than 1,700 E. coli DNA fingerprints obtained from more than 1,500 different domestic sewage, wildlife and livestock fecal samples, representing more than 50 animal subclasses from throughout Texas. These isolates were selected after screening more than 6,700 E. coli samples from almost 3,000 fecal and sewage samples collected through 18 projects completed throughout the state.
Gentry said initially differences in methods, inconsistent approaches and limited geographical coverage of library sampling caused concern over the applicability of BST results between watersheds.
However, “through the years, we have been able to allay those concerns by focusing on increasing application, capacity and coverage of bacterial source tracking resources available in the state,” he said. “In doing so, we have been able to accomplish several of the research and development needs recommended by a statewide task force on bacterial source tracking.”
Wagner said before BST, many computer models attributed much of the bacterial contributions to cattle because this was one of the few sources for which there was sufficient data.
“BST helped us confirm what many landowners suspected — that cattle were only part of the contributions; on average, cattle contribute about 13% of E. coli in the rural watersheds studied to date,” he said.
The Texas State Soil & Water Conservation Board has funded the program since its inception. The Texas Bacterial Source Tracking Program has been used in water restoration efforts in 14 watersheds.
“BST has been incredibly helpful in every watershed where we’ve used it,” Wagner said.
The program is now turning to water quality efforts in urban watersheds, Wagner said.
“We’re really turning our attention to try to do more of this work in more urbanized settings,” he said. “In predominantly rural watersheds, wildlife contributes about half of the bacteria. We’ll see if that differs in urban settings or not.”
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