Animal Feces in Rainwater Tanks Research

Animal Feces in Rainwater Tanks Research

<p> 1 Evidence of Avian and Possum Fecal Contamination in Rainwater 2 Tanks as Determined by Microbial Source Tracking Approaches 3</p><p>4</p><p>5</p><p>6</p><p>7</p><p>8 W. Ahmeda, K. Hamiltona,b,*, P. Gyawalia,c, S. Tozea,c, C.N. Haasb </p><p>9 10 11 12 13 14 CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australiaa; Drexel 15 University, 3141 Chestnut Street, Philadelphia, PA 19104, USAb; School of Public Health, The 16 University of Queensland, Herston, Qld 4006 17</p><p>18</p><p>19</p><p>20</p><p>21 Running title: Fecal contamination of tank water </p><p>22</p><p>23</p><p>24</p><p>25</p><p>26</p><p>27</p><p>28</p><p>29</p><p>30 * Corresponding author. Mailing address: Drexel University Department of Civil, Architectural, and 31 Environmental Engineering, 3141 Chestnut Street, Philadelphia, Pennsylvania, 19104, USA. Tel.: +1 32 215 895 2000; Fax: +1 215 895 1363. E-mail address: [email protected].</p><p>1 33 ABSTRACT</p><p>34 Avian and marsupial fecal droppings may negatively impact roof-harvested rainwater (RHRW) water</p><p>35 quality due to the presence of zoonotic pathogens. This study was aimed at evaluating the</p><p>36 performance characteristics of a possum feces-associated (PSM) marker by screening 210 fecal and</p><p>37 wastewater samples from possums (n = 20) and a range of non-possum hosts (n = 190) in Southeast</p><p>38 Queensland, Australia. The host-sensitivity and -specificity of the PSM markers were 0.90 and 0.95</p><p>39 (maximum value of 1.00). The mean concentrations of the GFD markers in possum fecal DNA</p><p>40 samples (8.8 × 107 gene copies per g of feces) were two orders of magnitude higher than non-</p><p>41 possum fecal DNA samples (5.0 × 105 gene copies per g of feces). The host-sensitivity, -specificity</p><p>42 and concentrations of the avian-feces associated GFD markers have been reported in our recent</p><p>43 study (Ahmed et al. 2016). The utilities of the GFD and PSM markers were evaluated by testing a</p><p>44 large number of tank water samples (n = 134) from the Brisbane and Currumbin areas. GFD and PSM</p><p>45 markers were detected in 39 of 134 (29%) and 11 of 134 (8%) tank water samples, respectively. GFD</p><p>46 markers in PCR positive samples ranged from 3.7 × 102 to 8.5 × 105 gene copies per L, whereas the</p><p>47 PSM markers ranged from 2.0 × 103 to 6.8 × 103 gene copies per L of water. The results of this study</p><p>48 suggest the presence of fecal contamination in tank water samples from avian and marsupial hosts.</p><p>49 To the best of our knowledge, this is the first study that established an association between the</p><p>50 degradation of microbial tank water quality with avian and marsupial feces. Based on the results, we</p><p>51 recommend disinfection of tank water, especially for tanks designated for potable use. </p><p>52</p><p>53</p><p>54</p><p>55</p><p>56</p><p>57</p><p>58</p><p>59</p><p>60</p><p>61 Keywords: Harvested rainwater; microbial source tracking; fecal indicator bacteria; quantitative PCR; </p><p>62 health risks; molecular markers </p><p>2 63 INTRODUCTION </p><p>64 Growing water scarcity has led to the increased reliance on alternative and decentralized potable</p><p>65 and non-potable water resources in recent decades. Australia is the driest inhabited continent on</p><p>66 earth, and suffered from a severe “millennium” drought from 2001 to 2009 (Dijk et al. 2013). As a</p><p>67 result of water scarcity in this region, the use of roof-harvested rainwater (RHRW) (stored in tanks) for</p><p>68 domestic purposes is a widely accepted practice. This is beneficial for simultaneously conserving</p><p>69 water and reducing stormwater runoff. The presence of multiple microbial pathogens including</p><p>70 opportunistic pathogens in rainwater tanks have been reported by several studies (Ahmed et al. 2008;</p><p>71 Ahmed et al. 2014; Dobrowsky et al. 2014) supporting the necessity for the management of potential</p><p>72 health risks. </p><p>73 Pathogens could be introduced to tanks via roof runoff containing fecal matter from birds, insects,</p><p>74 bats, possums and reptiles. The microbiological quality of RHRW stored in tanks is generally</p><p>75 assessed by monitoring Escherichia coli (E. coli), which are commonly found in the gut of warm-</p><p>76 blooded animals (Albrechtsen 2002; Ahmed et al. 2008; Lee et al. 2010). The presence of E. coli in</p><p>77 tank water generally indicates fecal contamination and the potential for public health risks. Drinking</p><p>78 water guidelines have been used to assess the microbial quality of the tank water. For most</p><p>79 guidelines, this entails the non-detection of E. coli in 100 mL of water (NHMRC–NRMMC 2004; WHO</p><p>80 2004). Even when tank water is not used for drinking, the assessment of the microbial quality is</p><p>81 usually undertaken by monitoring E. coli (Ahmed et al. 2008, Ahmed et al. 2010a; Appan 1997;</p><p>82 Dillaha and Zolan 1985). One major limitation of E. coli for monitoring is that they fail to predict the</p><p>83 presence of pathogens in water sources (Hörman et al. 2004; McQuaig et al. 2009; Selvakumar and</p><p>84 Borst 2006). In a previous study, the presence of E. coli did not correlate with the presence of</p><p>85 potential pathogens including opportunistic pathogens such as Aeromonas hydrophila,</p><p>86 Campylobacter jejuni, Campylobacter coli, Legionella pneumophila, Salmonella spp., and Giardia</p><p>87 lamblia in tank water samples (Ahmed et al. 2010a; Ahmed et al. 2014). </p><p>88 Another limitation of E. coli is that their presence does not provide information regarding their</p><p>89 sources (Harwood et al. 2000; US EPA 2005). Identifying the source(s) of fecal contamination in tank</p><p>90 water is critical for implementing appropriate remediation and protecting potential human health risks</p><p>91 associated with designated water use. Water quality researchers are currently using microbial source</p><p>92 tracking (MST) markers to detect fecal contamination in environmental waters (McQuaig et al. 2009;</p><p>3 93 Prystajecky et al. 2014; Ufnar et al. 2006). However, the application of MST markers to identify the</p><p>94 sources of fecal contamination in rainwater tank samples is rare. Previously, an attempt was made to</p><p>95 identify the likely sources of clinically significant E. coli in rainwater tanks by analysing E. coli isolates</p><p>96 from tank water and fecal samples from birds and possums. Biochemical phenotypes of E. coli strains</p><p>97 carrying virulence genes from a small number of tank water samples were identical to a number of</p><p>98 biochemical phenotypes of E. coli strains carrying the same virulence genes from bird and possum</p><p>99 feces. These findings suggested that these animals may be the likely sources of E. coli strains</p><p>100 identified in tank water samples (Ahmed et al. 2012a). However, the detection of virulence genes</p><p>101 followed by biochemical phenotyping are time consuming, expensive and process requires the</p><p>102 collection and fingerprinting a large number of E. coli isolates. </p><p>103 A recent study has reported the development of a qPCR assay for the identification of avian</p><p>104 feces-associated GFD markers of unclassified Helicobacter spp. in various host groups in the United</p><p>105 States, Canada and New Zealand (Green et al. 2012). The distributions of the GFD markers in avian</p><p>106 feces across the USA, Canada and New Zealand suggested it might have broad applicability for MST</p><p>107 studies in other parts of the world (Green et al. 2012). A recent follow up study in Australia and the</p><p>108 USA also reported the high host-specificity of the GFD markers, and suggested that this marker could</p><p>109 be used as a reliable marker to detect the presence of avian fecal contamination in environmental</p><p>110 waters (Ahmed et al. 2016). Another study developed a possum PCR marker based on the</p><p>111 Bacteroidales 16S rRNA sequences (Devane et al. 2013). The authors did not name the marker; here,</p><p>112 we designate it “PSM markers”. The host-sensitivity (0.83) and -specificity (0.96) values of the PSM</p><p>113 markers in tested possum fecal (n = 36) and non-possum fecal samples (n = 233) were high. </p><p>114 The primary aim of this study was to evaluate the host-sensitivity and -specificity of PSM markers</p><p>115 by analysing fecal samples from a variety of host groups in Southeast Queensland, Australia. The</p><p>116 host-specificity and -sensitivity values of the GFD marker were reported in a recent study for</p><p>117 Southeast Queensland (Ahmed et al. 2016). Tank water samples (presumed to be affected with fecal</p><p>118 contamination) were collected from the Brisbane and Currumbin Ecovillage. GFD and PSM markers</p><p>119 were quantified using qPCR from tank water samples along with the enumeration of E. coli using a</p><p>120 culture-based method. The host-sensitivity and -specificity of the GFD and PSM markers along with</p><p>121 their distribution in tank water samples were then used to validate the presence of avian and possum</p><p>122 fecal contamination in tank water samples.</p><p>4 123 MATERIALS AND METHODS</p><p>124 Animal fecal and wastewater sampling. To determine the host-sensitivity and -specificity of the</p><p>125 PSM marker, individual and composite fecal and wastewater samples were collected from various</p><p>126 host groups in Brisbane and Currumbin areas (Table 1). Additional information on the fecal and</p><p>127 wastewater samples is given in the Supplementary Note S1. All samples were transported on ice to</p><p>128 the laboratory, stored at 4°C, and processed within 24 h. </p><p>129 Concentration of cattle and pig wastewater samples. Cattle and pig wastewater samples were</p><p>130 concentrated with Amicon® Ultra-15 (30 K) Centrifugal Filter Devices (Merck Millipore Ltd., Tokyo,</p><p>131 Japan). In brief, 10 mL of wastewater sample was added to the Amicon Device, and centrifuged at</p><p>132 4,750 g for 10 min. Entire volumes (180-200 µL) of concentrated samples were collected from the</p><p>133 filter device sample reservoir using a pipette (Ahmed et al. 2010b). The concentrated samples were</p><p>134 stored at -20°C for a maximum of 24 h prior to DNA extraction.</p><p>135 Study areas and sanitary inspection. 134 rainwater tanks were sampled from various areas of</p><p>136 Brisbane (n = 84) and the Currumbin Ecovillage (n = 50), both located in Southeast Queensland,</p><p>137 Australia. The Ecovillage is a decentralized residential development that employs a range of</p><p>138 strategies to conserve water and energy including a cluster-scale sewage treatment/water reclamation</p><p>139 plant, rainwater storage tanks, solar panels, and source-separated urine usage. 100% and 20% of</p><p>140 rainwater tanks are used for potable use in Brisbane and Currumbin, respectively, in addition to other</p><p>141 non-potable uses such as cooking, showering and gardening. On each property, a visual sanitary</p><p>142 inspection was undertaken to identify factors such as the presence of overhanging trees, TV aerials,</p><p>143 wildlife fecal droppings, absence of first flush diverters that can affect the quality of RHRW stored in</p><p>144 tanks. </p><p>145 Tank water sampling. The tap/spigot connected directly to the rainwater tank was wiped with 70%</p><p>146 ethanol, and the water was run for 15 s prior to filling a 10 L sterile container. In the absence of a tap,</p><p>147 samples were collected directly from openings in the top of the tank. Samples were transported to the</p><p>148 laboratory, kept at 4°C, and processed within 6-72 h. </p><p>149 Enumeration of Escherichia coli. Colilert® (IDEXX Laboratories, Westbrook, Maine, USA) Test kits</p><p>150 were used to determine the concentrations of E. coli in 100 mL of each tank water sample. Test kits</p><p>151 were incubated at 37 ± 0.5°C for 18-24 h as per the manufacturer’s recommendation. </p><p>5 152 Concentration of rainwater samples. Approximately 10 L water sample from each tank was</p><p>153 concentrated by a hollow-fiber ultrafiltration system (HFUF) using Hemoflow FX 80 dialysis filters</p><p>154 (Fresenius Medical Care, Bad Homberg, Germany) as previously described (Hill et al. 2007). Briefly, 1</p><p>155 g of sodium hexametaphosphate (NaPP, Sigma-Aldrich, St. Louis, Missouri, USA) was added to each</p><p>156 10 L rainwater sample to achieve a concentration of 0.01% (w/v). Each water sample was pumped</p><p>157 with a peristaltic pump (Adelab Scientific, South Australia, Australia) in a closed loop with sterile high-</p><p>158 grade Norprene® A60 f tubing (Adelab Scientific). The tubing was sterilized by soaking in 3% bleach,</p><p>159 washing with deionized water, and autoclaving at 121°C for 15 min. The sample was concentrated to</p><p>160 approximately 150-200 mL, depending on turbidity. At the end of the concentration process,</p><p>161 pressurized air was passed through the filter cartridge from the top to recover as much water as</p><p>162 possible. To improve recovery, after each sample was processed through the HFUF, 500 mL of</p><p>163 elution solution [0.5% Tween 80, (Sigma-Aldrich, St. Louis, Missouri, USA) 0.01% NaPP, and 0.001</p><p>164 Antifoam A (Sigma-Aldrich, St. Louis, Missouri, USA)] was recirculated through the filter for 5 min, and</p><p>165 then concentrated in the same manner as the sample to 150 mL. This elution solution was added to</p><p>166 the concentrated sample to achieve a final volume of approximately 300-400 mL and stored at -4°C. A</p><p>167 new filter cartridge was used for each sample. The combined concentrate was filtered through a 0.45</p><p>168 µm cellulose filter paper (Advantec, Tokyo, Japan), and stored at -80°C until DNA extraction. In case</p><p>169 of filter clogging, multiple filter papers were used for each sample. </p><p>170 DNA extraction. DNA was extracted from the concentrated cattle and pig wastewater samples using</p><p>171 DNeasy Blood and Tissue Kit (Qiagen, Valencia, California, USA). A QIAamp Stool DNA Kit (Qiagen,</p><p>172 Valencia, California, USA) was used to extract DNA from 100-220 mg of fresh animal feces and 250</p><p>173 µL raw human wastewater samples. A PowerSoil® Max DNA Kit (Mo Bio, Carlsbad, California, USA)</p><p>174 was used to extract DNA from tank water samples according to the manufacturer’s instructions and</p><p>175 stored at -80°C until use. The kit was modified slightly with 2 mL of DNA eluted buffer C6 instead of 5</p><p>176 mL (Gyawali et al. 2015). DNA concentrations were determined using NanoDrop spectrophotometer</p><p>177 (ND-1000, NanoDrop Technology, Wilmington, Delaware, USA). </p><p>178 PCR inhibition. An experiment was conducted to determine the presence of PCR inhibitory</p><p>179 substances in tank water DNA samples using a Sketa22 real-time PCR assay (Haugland et al. 2005).</p><p>180 Of the 134 samples, 23 (17%) had the sign of PCR inhibition. These inhibited samples were 10-fold</p><p>181 serially diluted, and further tested with the Sketa22 real-time PCR assay. The results indicated the</p><p>6 182 relief of PCR inhibition. Based on the results, neat DNA samples (PCR uninhibited samples) and 10-</p><p>183 fold diluted (PCR inhibited) samples were tested with GFD and PSM qPCR assays.</p><p>184 Preparation of qPCR standards. Standards for the GFD qPCR assay were prepared from a gene</p><p>185 fragment amplified from bird feces and cloned into the pGEM-T Easy vector system II (Promega,</p><p>186 Madison, Wisconsin, USA). Plasmid DNA was isolated using the Plasmid Mini Kit (Qiagen, Valencia,</p><p>187 California, USA). Standards for the PSM qPCR assay were designed using IDT custom gene</p><p>188 synthesis to construct plasmids inserted with a gene fragment containing 152 bp target (TGC AAG</p><p>189 TCG AGG GGT AAC AGG GCC TAG CAA TAG GCC GCT GAC GAC CGG CGC ACG GGT GAG</p><p>190 TAA CAC GTA TCC AAC CTG CCG ATA ACT CGG GGA TAG CCT TTC GAA AGA AAG ATT AAT</p><p>191 ACC CGA TAG CAT AAG GAT TCC GCA TGG TCT CCT TA) from the known sequence produced by</p><p>192 Integrated DNA Technologies (pIDTSmart with ampicillin), and cloned into a vector followed by</p><p>193 plasmid extraction (IDTDNA.com; Coralville, Iowa, USA). The purified recombinant plasmids were</p><p>194 serially diluted to create standards ranging from to 1 × 106 to 1 copies per µL of DNA extract. A 3 µL</p><p>195 template from each serial dilution was used to prepare a standard curve for each qPCR assay. For</p><p>196 each standard, the genomic copies were plotted against the cycle number at which the fluorescence</p><p>197 signal increased above the quantification cycle value (Cq value). The amplification efficiency (E) was</p><p>198 determined by analysis of the standards and was estimated from the slope of the standard curve as E</p><p>199 = 10-1/slope. </p><p>200 qPCR assays. qPCR assays were performed using previously published primers, probes, and cycling</p><p>201 parameters (see Supplementary Table S1 for more details). GFD and PSM qPCR amplifications were</p><p>202 performed in a 20 µL reaction mixture using Sso FastTM EvaGreen Supermix (Bio-Rad Laboratories,</p><p>203 California, USA). The qPCR mixtures contained 10 µL of Supermixes, 100 nM of each primer (GFD</p><p>204 assays), 250 nM of each primer (PSM assay) and 3 µL of template DNA. To separate the specific</p><p>205 product from non-specific products, including primer dimers, a melting curve analysis was performed</p><p>206 for each qPCR run. During melting curve analysis, the temperature was increased from 65 to 95°C at</p><p>207 0.5°C increment. Melting curve analysis showed a distinct peak at temperature 84.0°C ± 0.2°C (for</p><p>208 GFD assay) and 85.5°C ± 0.2°C (for PSM assay), indicating positive and correct amplifications.</p><p>209 Standards (positive controls) and sterile water (negative controls) were included in each qPCR run. All</p><p>210 qPCR reactions were performed in triplicate using a Bio-Rad® CFX96 thermal cycler. </p><p>7 211 qPCR performance characteristics. qPCR standards were analysed in order to determine the</p><p>212 amplification efficiencies (E) and the correlation coefficient (r2). The qPCR lower limit of quantification</p><p>213 (LLOQ) was also determined from the standard series. The lowest concentration of gene copies from</p><p>214 the standard series detected in all triplicate samples was considered qPCR LLOQ.</p><p>215 Quality control. Method blank runs were performed to ensure that the disinfection procedure was</p><p>216 effective in preventing carryover contamination between sampling events. In addition, to prevent DNA</p><p>217 carryover contamination, reagent blanks were included for each batch of DNA samples. No carryover</p><p>218 contamination was observed. To minimize qPCR contamination, DNA extraction and qPCR setup</p><p>219 were performed in separate laboratories. </p><p>220 Statistical analysis. </p><p>221 The host-sensitivity and -specificity of the PSM marker were determined as follows: host-sensitivity =</p><p>222 a/(a + b) and -specificity = c/(c + d), where a is true positive (possum fecal samples were positive for</p><p>223 the PSM marker), b is false negative (non-possum fecal samples were negative for the PSM marker),</p><p>224 c is true negative (non-possum fecal samples were negative for the PSM marker), and d is false</p><p>225 positive (non-possum fecal samples were positive of the PSM marker) (Ahmed et al. 2016). Samples</p><p>226 were considered quantifiable when the PSM marker levels were above the qPCR LLOQ. Samples that</p><p>227 fell below the LLOQ level were considered as positive but not quantifiable. The concentrations of E.</p><p>228 coli, GFD and PSM markers in tank water samples were not normally distributed (as determined by a</p><p>229 Kolmogorov-Smirnov and Shapiro-Wilk normality tests). Therefore, non-parametric Spearman rank</p><p>230 correlation with a two-tailed P value was also used to establish the relationship between E. coli and</p><p>231 markers (GFD and PSM) in tank water samples. </p><p>232 RESULTS</p><p>233 Sanitary inspection results. Roofs connected to the rainwater tanks from Brisbane had more</p><p>234 overhanging trees present (17%) compared to Currumbin (7%) (Fig. 1). Sanitary inspection also</p><p>235 identified more wildlife droppings on Brisbane roofs (63%) than Currumbin (43%). 81% Currumbin</p><p>236 tanks had first flush diverters installed, whereas, only 29% Brisbane tanks had the first flush devices.</p><p>237 Brisbane roofs also had more TV aerials (76%) installed compared to Currumbin (26%). </p><p>238 qPCR performance characteristics and lower limit of quantification (LLOQ). qPCR standards</p><p>239 were analysed in order to determine the performance characteristics such as slope, amplification</p><p>240 efficiencies, and correlation coefficient values. The standards had a linear range of quantification from</p><p>8 241 1 × 106 to 1 gene copies per µL of DNA extracts. qPCR performance characteristics for individual</p><p>242 assays within the values prescribed by the MIQE Guidelines (Bustin et al. 2009) (see Supplementary</p><p>243 Table S2). The lowest amount of diluted gene copies detected in triplicate samples was considered</p><p>244 qPCR LLOQ. qPCR LLOQ was determined to be 3 gene copies for the GFD assay, 30 gene copies</p><p>245 for the PSM assay. </p><p>246 Host-specificity and -sensitivity of the GFD and PSM markers. The host-sensitivity and -specificity</p><p>247 values of the GFD marker have been reported in a previous study (Ahmed et al. 2016) using the same</p><p>248 set of fecal and wastewater samples analysed for the PSM marker in this study. The host-sensitivity of</p><p>249 the GFD marker in avian feces (n = 36) was 0.58 (maximum value of 1). The host-specificity of the</p><p>250 GFD marker was also high (0.94) for non-avian fecal samples (n = 190). In this study, among the 20</p><p>251 possum fecal samples tested, 18 were PCR positive for the PSM marker (Table 1). Therefore, the</p><p>252 host-sensitivity of the PSM marker in DNA samples from possum feces was 0.90 (maximum value of</p><p>253 1). Among the 190 non-possum fecal DNA samples tested, 180 samples were negative for the PSM</p><p>254 marker, yielding a host-specificity value of 0.95. Small numbers of cat (n = 4), deer (n = 2), sheep (n =</p><p>255 3) and waterfowl (n = 1) fecal DNA, however, were positive for the PSM marker. Several horse,</p><p>256 human, koala, and emu fecal DNA samples also showed PCR amplifications for the PSM marker,</p><p>257 however, had different melting peaks of < 84.5°C or > 86.5°C compared to the correct melting peak of</p><p>258 85.5°C for the PSM marker. </p><p>259 Concentrations of PSM markers in possum and non-possum fecal samples. The concentrations</p><p>260 of the PSM marker in possum fecal DNA samples (from Brisbane) were highly variable per gm of</p><p>261 feces (Fig. 2). The mean concentrations in these samples ranged from 1.7 × 10 5 to 1.1× 109 gene</p><p>262 copies per g of feces. The mean concentration of the PSM marker in non-possum host groups ranged</p><p>263 from 1.1 × 104 to 6.4 × 104 (cat), 3.7 × 104 to 1.1 × 105 (deer), 1.5 × 104 to 2.5 × 105 (sheep) and 4.3 ×</p><p>264 106 (waterfowl) gene copies per g of feces. The overall mean concentration of the PSM marker in</p><p>265 possum was 8.8 × 107, two orders of magnitude higher than the non-possum host groups (5.0 × 10 5).</p><p>266 A t-test for equal means indicated that the mean concentration of PSM markers in possum feces was</p><p>267 significantly different (P = 0.02) than non-possum feces. </p><p>268 Concentrations of E. coli, GFD and PSM markers in tank water samples. Of the 84 tank water</p><p>269 samples tested from Brisbane, 70% were positive for E. coli, whereas, of the 50 tank water samples</p><p>270 tested from Currumbin Ecovillage, 34 (68%) were positive for E. coli. Concentrations of E. coli in</p><p>9 271 positive samples are shown in Fig.3. Concentrations of E. coli ranged from 1 to > 2,420 MPN per 100</p><p>272 mL for Brisbane tank water samples and from 1 to 435 MPN per 100 mL of water for Currumbin tank</p><p>273 water samples. E. coli concentrations were significantly (P = 0.03) higher in Brisbane tank water</p><p>274 samples than Currumbin. A t-test for equal means indicated that the mean concentration of E. coli in</p><p>275 Brisbane tank water samples was significantly different (P = 0.01) than Currumbin. </p><p>276 Of the 84 tank water samples tested from Brisbane, 27 (32%) and 5 (6%) were PCR positive for</p><p>277 the GFD and PSM markers, respectively. Similarly, of the 50 tank water samples tested from</p><p>278 Currumbin, 12 (24%) and 6 (12%) were PCR positive for the GFD and PSM markers, respectively. Of</p><p>279 the 84 tank water samples from Brisbane, 31 (37%) contained at least one marker and 1 (1%) tanks</p><p>280 contained both markers. Of the 50 tank water samples from Currumbin 16 (32%) contained at least</p><p>281 one marker and 2 (4%) tanks contained both markers. GFD markers were more prevalent in both</p><p>282 Brisbane and Currumbin areas than the PSM markers. Concentrations of GFD and PSM markers in</p><p>283 positive tank water samples are shown in Fig. 4. GFD markers ranged from 9.3 × 102 to 3.0 ×</p><p>284 105 gene copies per L of water (Brisbane) and 3.7 × 10 2 to 8.5 × 105 (Currumbin). PSM markers</p><p>285 ranged from 2.7 × 103 to 6.8 × 103 gene copies per L (Brisbane) and 2.0 × 103 to 6.1 × 103 (Currumbin)</p><p>286 per L of water. The t-test for equal means indicated that the mean concentration of the GFD markers</p><p>287 in tank water samples from Brisbane was significantly different (P = 0.007) than Currumbin. However,</p><p>288 the PSM marker concentration did no differ significantly in Brisbane and Currumbin tank water</p><p>289 samples. Pearson's correlation was used to test the relationship between E. coli concentrations with</p><p>290 the GFD and PSM marker concentrations. The concentrations of the GFD markers negatively</p><p>291 correlated with concentrations of E. coli (rp = -0.07, P = 0.04). The concentrations of the PSM markers</p><p>292 also did not correlate with concentrations of E. coli (rp = 0.09, P = 0.25).</p><p>293 Agreement and disagreement between the presence of markers and sanitary inspection</p><p>294 results. In all, 47 of 134 tank water samples from the Brisbane and Currumbin had either the GFD or</p><p>295 the PSM markers. The presence/absence of GFD and PSM markers, and visual sanitary inspection</p><p>296 results were compared pairwise for these tank water samples. From the pairwise comparison, the</p><p>297 percentage of agreement (co-occurrence) (i.e., presence of a marker in the presence of a factor</p><p>298 potentially affecting the quality tank water) and agreement (non-co-occurrence) (i.e., absence of a</p><p>299 marker in the absence of a factor) were calculated. The percentage of total disagreement (i.e.,</p><p>300 presence of a marker in the absence of a factor or absence of a marker in the presence of a factor) for</p><p>10 301 each pair wise comparison was also calculated by subtracting the percentage of agreement (co-</p><p>302 occurrence and non-co-occurrence) from 100%. On average 36% (co-occurrence) and 17% (non-co-</p><p>303 occurrence) agreements were found for the GFD markers with sanitary inspection results. These</p><p>304 values for the PSM markers were 7% and 36% for co-occurrence and non-co-occurrence,</p><p>305 respectively (Fig. 5). The GFD markers and the presence of wildlife droppings and TV aerial had the</p><p>306 highest percentage (47%) of co-occurrence agreement followed by 38% co-occurrence agreement for</p><p>307 first flush diverters. The PSM markers and the presence of TV aerial and wildlife droppings had 11%</p><p>308 and 9% of co-occurrence agreements, respectively. </p><p>309 DISCUSSION </p><p>310 The numbers of rainwater tanks as a source of water for urban and rural households around the</p><p>311 world are increasing. For example, 26% of Australian households used a rainwater tank as a source</p><p>312 of water in 2010 compared with 19% in 2007 and 17% in 2004 (ABS 2010). There was a marked</p><p>313 increase in the proportion of households with a rainwater tank in Queensland, Australia (17% in 2004</p><p>314 to 36% in 2010). In our previous studies, we have reported the presence of potential bacterial</p><p>315 pathogens including opportunistic pathogens and protozoa in rainwater tank samples from Southeast</p><p>316 Queensland, Australia (Ahmed et al. 2012b; Ahmed et al. 2014). If the untreated tank water is used</p><p>317 for drinking, there are potential disease risks for people consuming this water. Therefore, it is</p><p>318 essential to obtain information on the sources of fecal contamination in order to design management</p><p>319 strategies and minimize public health risks from exposure to these pathogens. </p><p>320 In this study, we investigated the potential sources of fecal contamination in a large number of</p><p>321 tank water samples from urban (Brisbane) and peri-urban (Currumbin Ecovillage) settings in</p><p>322 Southeast Queensland, Australia. During the visual sanitary inspection, fecal droppings were spotted</p><p>323 on the roofs and gutters for certain tanks. Possums, bats and avian (different species of birds) were</p><p>324 identified as potential sources of fecal contamination on the roofs by the residents. Since monitoring</p><p>325 E. coli does not provide definitive information on the sources of fecal contamination, two newly</p><p>326 developed MST markers targeting avian and possum hosts were chosen for this study (Green et al.</p><p>327 2012; Devane et al. 2013). The performance characteristics of the GFD markers were evaluated in a</p><p>328 recent study (Ahmed et al. 2016). Although, the GFD marker exhibited high host-specificity (0.94), the</p><p>329 host-sensitivity value (0.58%) was low. On the other hand, little is known regarding the host-specificity</p><p>330 and -sensitivity of the PSM marker. </p><p>11 331 The host-sensitivity (0.83) and -specificity (0.96) of the PSM markers were reported to be high in</p><p>332 the original study that developed this marker by screening 36 possum and 233 non-possum fecal</p><p>333 samples in New Zealand (Devane et al. 2013). The authors recommended that host-sensitivity and</p><p>334 -specificity of the PSM markers need to be tested prior to field application in a new location since</p><p>335 bacterial markers do not often exhibit absolute host-specificity and -sensitivity (Carson et al. 2005;</p><p>336 McQuaig et al. 2009; Devane et al. 2013). In this study, the host-sensitivity and -specificity of the PSM</p><p>337 marker determined to be 0.90 and 0.95, respectively, which were well within the recommended</p><p>338 guidelines by the US EPA (US EPA 2005), and also similar to the values reported by Devane and</p><p>339 Colleagues (2003). </p><p>340 The concentrations of the PSM marker in individual possum fecal sample varied 3-4 orders of</p><p>341 magnitude. However, the mean concentration (8.8 × 107 gene copies per g) obtained in this study was</p><p>342 similar to the range (1.6-1.0 × 107) reported by Devane and colleagues (2003). The variation of the</p><p>343 PSM marker in individual possum fecal samples could be attributed to factors such as diet, which may</p><p>344 vary both regionally and seasonally (Shanks et al. 2011; Turnbaugh et al. 2009). This has implications</p><p>345 because a marker with variable and/or low concentrations in its host(s) can be difficult to detect in</p><p>346 waters due to factors such as dilution, and inactivation potential (Ahmed et al. 2015). Further study</p><p>347 would be required to shed light on the variability of this marker in a large number of possum fecal</p><p>348 samples in order to identify factors that may be responsible for such variability. </p><p>349 In this study, approximately 70% tank water samples tested, exceeded the Australian Drinking</p><p>350 Water Guideline of zero E. coli per 100 mL (ADWG 2004). The frequency of detection and</p><p>351 concentrations of E. coli were significantly higher in Brisbane tank water samples than Currumbin.</p><p>352 This could be due to the fact that the Currumbin Ecovillage is a new sub-division, and most of the</p><p>353 rainwater tanks installed here are relatively new compared to tanks in Brisbane. Since all Currumbin</p><p>354 tanks are used for drinking, residents put more effort in maintaining the quality of water by installing</p><p>355 first flush diverters, and other cleanliness practices such as trimming of overhanging trees and</p><p>356 cleaning the gutters more frequently. Such practices were not observed for Brisbane area as only</p><p>357 20% tanks are used for potable use. These factors collectively may have contributed to the high</p><p>358 frequency of detection and concentrations of E. coli in Brisbane tank water samples. </p><p>359 Overall, the concentrations of E. coli were highly variable ranging from 1-2,420 MPN per 100 mL</p><p>360 of water, suggesting the occurrence of fecal contamination. The results were in accordance with the</p><p>12 361 facts that 29% and 8% of 134 tank water samples from the Brisbane and Currumbin were PCR</p><p>362 positive for the GFD and PSM markers, respectively. GFD markers were more frequently detected in</p><p>363 tank water samples than the PSM marker. This could be due to the fact that Helicobacter spp.</p><p>364 associated GFD markers may have better survival ability in the tank environment than the</p><p>365 Bacteroides associated PSM marker, which is an obligate anaerobe. The frequencies of GFD and</p><p>366 PSM markers detection were higher for Brisbane tank water samples than Currumbin. Again this</p><p>367 could be related to the poor maintenance practices of Brisbane tanks. </p><p>368 The GFD (Ahmed et al. 2016) and PSM markers (this study) were detected in small numbers of</p><p>369 cat, dog, deer, kangaroo, sheep, and waterfowl fecal DNA samples. Their presence in dog, deer,</p><p>370 kangaroo and sheep may not be problematic due to the fact that roof contamination with feces from</p><p>371 these animals is unlikely. During the sanitary inspection, we did not observe any cats or waterfowls on</p><p>372 the roof. However, tank water contamination from these sources cannot be ruled out. This</p><p>373 phenomenon may not be a critical issue as long as the concentrations of the GFD and PSM markers</p><p>374 remain low in non-avian and non-possum host groups. The mean concentrations of the GFD and</p><p>375 PSM marker in non-avian and non-possum fecal DNA samples were 2-3 orders of magnitude lower</p><p>376 than those in avian and possum fecal DNA samples. The concentrations of the markers in certain tank</p><p>377 water samples were as high as 8.5 × 105 (GFD) and 6.8 × 103 (PSM) per L of water. This has public</p><p>378 health implications as bird and possum feces are known to contain Campylobacter spp.,</p><p>379 Cryptosporidium spp., Giardia spp., and clinically significant E. coli (Marino et al. 1998; Chilvers et al.</p><p>380 1998; Ahmed et al. 2012a; Ahmed et al. 2012b). </p><p>381 Overall 70% and 90% tank water samples were PCR negative for the GFD and PSM markers.</p><p>382 Presence of low levels of avian and possum fecal contamination in these tank water samples cannot</p><p>383 also be ruled out because the lower limit of detection (LLOD) of the qPCR assays ranged from 1 to 3</p><p>384 gene copies per µL DNA which translates to approximately 67- 200 gene copies per L of water</p><p>385 sample that would need to be present for qPCR detection. 43% tank water samples had > 1 E. coli</p><p>386 per 100 mL of water, however, these samples were negative for the GFD and PSM markers. The</p><p>387 sources of fecal contamination in these tanks may have originated from bats, insects, frogs, and</p><p>388 lizards. Since, both the GFD and PSM markers did not show absolute sensitivity when tested against</p><p>389 avian and possum hosts, it is also possible that avian and possum fecal contamination may be</p><p>13 390 occurring in certain tanks, but the markers were absent in the feces of those animals contaminated</p><p>391 tank water samples, and, therefore, and could not be detected with qPCR assays. </p><p>392 Concentrations of E. coli did not correlate with the concentrations of the GFD and PSM markers in</p><p>393 tank water samples from both Brisbane and Currumbin. Therefore, this study is also in accordance</p><p>394 with findings that E. coli monitoring is not likely to be a reliable surrogate for general fecal</p><p>395 contamination and presence of pathogens as previously reported (Ahmed et al. 2010; Ahmed et al.</p><p>396 2014). Lack of a relationship between E. coli and MST markers likely reflects differences in</p><p>397 methodologies, where E. coli analysis provides viable concentration of E. coli and MST marker</p><p>398 detection/quantification provides the information on the presence/absence of host-specific fecal</p><p>399 contamination and its magnitude. In addition, MST markers come from a specific host group,</p><p>400 whereas, E. coli come from all warm-blooded animals. Furthermore, the fate (inactivation) of the GFD</p><p>401 and PSM marker could be different than E. coli (Lu et al., 2011). A similar lack of correlation has been</p><p>402 reported for other MST marker concentrations with E. coli concentrations (Lee et al. 2013; McQuaig et</p><p>403 al. 2012).</p><p>404 An attempt was taken to determine what sanitary factors might have contributed GFD and PSM</p><p>405 markers in tank waters. The data indicated that wildlife droppings and the presence of TV aerials had</p><p>406 the highest percentage of co-occurrence with the presence of both GFD and PSM markers. However,</p><p>407 this data should be interpreted with care because it is difficult to differentiate among factors that may</p><p>408 have contributed GFD and PSM markers into the tank water. For example, roof connected to the tank</p><p>409 T62 (see Supplementary Table S3) had overhanging trees, fecal droppings, no first flush diverter, and</p><p>410 TV aerial. The presence of the GFD in the tank water samples could be associated with one or more</p><p>411 of these factors. 38% and 6% agreements were observed for the GFD and PSM markers with the</p><p>412 presence of first flush diverters suggesting that this device may not be effective in removing microbial</p><p>413 contaminants. </p><p>414 The presence of E. coli along with the presence of GFD and PSM markers suggests the</p><p>415 occurrence of fecal contamination in tank water samples from avian and marsupial hosts. To the best</p><p>416 of our knowledge, this is the first study that established a potential link between the degradation of</p><p>417 microbial quality of tank water with avian and marsupial feces. Such findings can pose a significant</p><p>418 health risk for those residents solely depend on tank water for potable use, especially in Brisbane and</p><p>419 Currumbin areas. However, the potential risk would be much lower for non-potable uses such as car</p><p>14 420 washing, gardening etc. There are several potential factors that may have contributed to the avian</p><p>421 and possum fecal contamination in tank water samples. Therefore, maintenance of good roof and</p><p>422 gutter hygiene and elimination of overhanging tree branches, blocking off possum access points by</p><p>423 placing timber or mesh or placing fake predators like owls and hawks on the roofs may be clever way</p><p>424 to trick birds staying off the roof. </p><p>425 ACKNOWLEDGEMENTS</p><p>426 This research was undertaken and funded as part of a Fulbright-CSIRO Postgraduate Scholarship</p><p>427 sponsored by the CSIRO Land and Water Flagship. We sincerely thank the residents of Brisbane and</p><p>428 the Currumbin Ecovillage for providing access to their rainwater tanks and for their feedback on the</p><p>429 inspection. We also thank Ms. Kylie Smith and Mr. Andrew Palmer for aiding in sample collection. </p><p>430</p><p>431</p><p>432</p><p>433</p><p>434</p><p>435</p><p>436</p><p>437</p><p>438</p><p>439</p><p>440</p><p>441</p><p>442</p><p>443</p><p>444</p><p>445</p><p>446</p><p>447</p><p>15 448</p><p>449</p><p>450</p><p>451 REFERENCES</p><p>452 1. ABS. 2010. Environmental issues: Water Use and Conservation No. 4602.0.55.003. 453 Australian Bureau of Statistics, Canberra. 454 2. ADWG. 2004. Guidelines for Drinking Water Quality in Australia. National Health and Medical 455 Research Council/Australian Water Resources Council. 456 1. Ahmed W, Huygens F, Goonetilleke A, Gardner T. 2008. Real-time PCR detection of 457 pathogenic microorganisms in roof-harvested rainwater in Southeast Queensland, Australia. 458 Appl. Environ, Microbiol. 74:5490-5496. 459 2. Ahmed W, Goonetilleke A, Gardner T. 2010a. 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Ufnar JA, Wang SY, Christiansen JM, Yampara-Iquise H, Carson CA, Ellender RD. 2006. 556 Detection of the nifH gene of Methanobrevibacter smithii: a potential tool to identify sewage 557 pollution in recreational waters. J. Appl. Microbiol. 101:44-52. 558 37. US EPA. 2005. Microbial Source Tracking Guide Document, EPA/600-R-05-064. Cincinnati, 559 OH. 560 561 562 563 564 565 566 567</p><p>18 568 569 570 571 572 573 574 575 576 577 578</p><p>579 TABLE 1 Percentage of possum and non-possum fecal DNA samples PCR positive for the 580 possum marker </p><p>Host groups No. of Sources of samples No. of PCR positive samples samples (%) Bird 10 Wild, farm 0 (0) Cat 13 Veterinary hospital 4 (31) Cattle feces 4 Farms 0 (0) Cattle wastewater 8 Abattoir 0 (0) Deer 12 Sanctuary 2 (17) Dog 13 Veterinary hospital and parks 0 (0) Emu 14 Emu park 0 (0) Goat 10 Veterinary hospital 0 (0) Horse 19 Horse racecourse 0 (0) Human feces 3 Human 0 (0) Human wastewater 20 Wastewater treatment plants 0 (0) Kangaroo 10 Sanctuary 0 (0) Koala 12 Sanctuary 0 (0) Pig wastewater 20 Abattoir 0 (0) Possum 20 Wild 18 (90) Sheep 14 Veterinary hospital 3 (21) Waterfowl 8 Parks 1 (13) Host-sensitivity 0.90 Host-specificity 0.95</p><p>19 581</p><p>582</p><p>583</p><p>584</p><p>585</p><p>586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630</p><p>20 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675</p><p>21 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726</p><p>22 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778</p><p>23 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822</p><p>823 FIG 1 Sanitary inspection results for rainwater tanks from Brisbane (n = 84) and Currumbin (n = 50) in</p><p>824 Southeast Queensland, Australia. </p><p>825 FIG 2 Concentration of possum (PSM) markers in possum and non-possum fecal DNA samples in </p><p>826 Southeast Queensland, Australia.</p><p>24 827 FIG 3 Box and whisker plots of the concentrations (MPN per 100 mL) of Escherichia coli in positive </p><p>828 tank water samples from Brisbane and Currumbin. The inner box lines represent the medians, while </p><p>829 the outer box lines represent the 5th and 95th data percentiles, and the whiskers extend to the range. </p><p>830 FIG 4 Box and whisker plots of the concentrations (gene copies per L) of avian feces-associated GFD</p><p>831 and possum feces-associated PSM markers in positive tank water samples from Brisbane and </p><p>832 Currumbin. The inner box lines represent the medians, while the outer box lines represent the 5th and </p><p>833 95th data percentiles, and the whiskers extend to the range. </p><p>834 FIG 5 Percentage agreement and disagreement between the presence of avian feces-associated </p><p>835 GFD and possum feces-associated PSM markers and sanitary inspection results.</p><p>25</p>

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