A tool box strategy using Bacteroides genetic markers to differentiate human from non-human sources of fecal contamination in natural water

被引:7
作者
Kabiri, Leila [1 ]
Alum, Absar [1 ]
Rock, Channah [2 ]
McLain, Jean E. [3 ]
Abbaszadegan, Morteza [1 ]
机构
[1] Arizona State Univ, Natl Sci Fdn Water Environm Technol Ctr, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA
[2] Univ Arizona, Maricopa Agr Ctr, Maricopa, AZ 85138 USA
[3] Univ Arizona, Water Resources Res Ctr, Tucson, AZ 85719 USA
基金
美国国家科学基金会;
关键词
Bacteroides; Source tracking; 16S RNA; Cladogram; Sequence truncation; 16S RIBOSOMAL-RNA; REAL-TIME PCR; MICROBIAL SOURCE TRACKING; FRESH-WATER; POLLUTION; ASSAYS; IDENTIFICATION; PERFORMANCE; BACTERIA; FECES;
D O I
10.1016/j.scitotenv.2016.07.188
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Bacteroides genetic markers have been widely used to identify fecal pollution of water originating from human and animal sources. Many of the assays currently used for detecting human-specific Bacteroides produce false positive results. The focus of this study was to develop a microbial source tracking (MST) tool box strategy for differentiating Bacteroides from human and animal sources. Bacteroides 16S rRNA gene sequences from fish and selected animals were aligned against human fecal Bacteroides isolates to compare and characterize the variable regions within the 16S rRNA gene sequence. Conserved sequences between 4 variable regions were deleted and the truncated sequences were combined to develop a hyper-variable genomic segment (HVGS). The cladogram created from truncated sequences show a clear separation of Bacteroides from human feces and those from animal sources. The proposed strategy was field tested by collecting water samples from central Arizona source waters and three different recreational ponds. PCR using HF134 and HF183 primer sets was performed and sequences from positive reactions were aligned against human Bacteroides sequences to identify the source of contamination. Based on PCR results, the source of fecal contamination was presumptively identified as either human or from another source. For samples testing positive using the HF183 primer set (8/13), fecal contamination was presumed to be from human sources, but to confirm the results, PCR products were sequenced and aligned against the four variable regions and then incorporated within the truncated cladogram. As expected, the sequences from water samples with human fecal contamination grouped in a separate clade. A variability matrix, developed after exclusion of conserved sequences among the four regions, was utilized to establish discrete groupings for sequences within the truncated cladogram, generally differentiating Bacteroides isolates from varying host animals, but most importantly, separating Bacteroides from human feces from Bacteroides from other animals. The proposed strategy offers a new tool box method for MST and a step-wise methodology essential for identifying human sources of fecal pollution. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:897 / 905
页数:9
相关论文
共 22 条
[1]   Identification of nonpoint sources of fecal pollution in coastal waters by using host-specific 16S ribosomal DNA genetic markers from fecal anaerobes [J].
Bernhard, AE ;
Field, KG .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2000, 66 (04) :1587-1594
[2]   A PCR assay to discriminate human and ruminant feces on the basis of host differences in Bacteroides-Prevotella genes encoding 16S rRNA [J].
Bernhard, AE ;
Field, KG .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2000, 66 (10) :4571-4574
[3]   Application of a rapid method for identifying fecal pollution sources in a multi-use estuary [J].
Bernhard, AE ;
Goyard, T ;
Simonich, MT ;
Field, KG .
WATER RESEARCH, 2003, 37 (04) :909-913
[4]   Performance of forty-one microbial source tracking methods: A twenty-seven lab evaluation study [J].
Boehm, Alexandria B. ;
Van De Werfhorst, Laurie C. ;
Griffith, John F. ;
Holden, Patricia A. ;
Jay, Jenny A. ;
Shanks, Orin C. ;
Wang, Dan ;
Weisberg, Stephen B. .
WATER RESEARCH, 2013, 47 (18) :6812-6828
[5]   A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria [J].
Chakravorty, Soumitesh ;
Helb, Danica ;
Burday, Michele ;
Connell, Nancy ;
Alland, David .
JOURNAL OF MICROBIOLOGICAL METHODS, 2007, 69 (02) :330-339
[6]   MULTIPLE SEQUENCE ALIGNMENT WITH HIERARCHICAL-CLUSTERING [J].
CORPET, F .
NUCLEIC ACIDS RESEARCH, 1988, 16 (22) :10881-10890
[7]   Host distributions of uncultivated fecal Bacteroidales bacteria reveal genetic markers for fecal source identification [J].
Dick, LK ;
Bernhard, AE ;
Brodeur, TJ ;
Domingo, JWS ;
Simpson, JM ;
Walters, SP ;
Field, KG .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2005, 71 (06) :3184-3191
[8]   SOURCES OF SHELLFISH IN OUTBREAKS OF PROBABLE VIRAL GASTROENTERITIS - IMPLICATIONS FOR CONTROL [J].
GUZEWICH, JJ ;
MORSE, DL .
JOURNAL OF FOOD PROTECTION, 1986, 49 (05) :389-394
[9]   Microbial source tracking markers for detection of fecal contamination in environmental waters: relationships between pathogens and human health outcomes [J].
Harwood, Valerie J. ;
Staley, Christopher ;
Badgley, Brian D. ;
Borges, Kim ;
Korajkic, Asja .
FEMS MICROBIOLOGY REVIEWS, 2014, 38 (01) :1-40
[10]   Validity of the indicator organism paradigm for pathogen reduction in reclaimed water and public health protection [J].
Harwood, VJ ;
Levine, AD ;
Scott, TM ;
Chivukula, V ;
Lukasik, J ;
Farrah, SR ;
Rose, JB .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2005, 71 (06) :3163-3170