Evaluation of Molecular-based Methods for the Detection and Quantification of Cryptosporidium spp. in Wastewater

Oumaima Hachimi, Rebecca Falender, Gabriel Davis, Rispa Vranka Wafula, Melissa Sutton, June Bancroft,Paul Cieslak, Noah Lininger,Christine Kelly,Devrim Kaya,Tyler S. Radniecki

medrxiv(2024)

引用 0|浏览1
暂无评分
摘要
Cryptosporidium , a eukaryotic protozoan parasite, poses a significant public health risk as a cause of waterborne disease worldwide. Clinical surveillance of cryptosporidiosis is estimated to be largely underreported due to the asymptomatic and mildly symptomatic infections, clinical misdiagnoses, and barriers to access testing. Unlike clinical surveillance, wastewater surveillance overcomes these limitations and could serve as an effective tool for identifying cryptosporidiosis at the population level. Despite its potential, the lack of standardized methods for Cryptosporidium spp. detection in wastewater challenges the comparability of studies. Additionally, the use of standard methods for the detection and quantification of Cryptosporidium spp. in surface waters may not be appropriate for wastewater samples due to the more complex composition of the wastewater matrix. Thus, in this study, we evaluated methods for concentrating Cryptosporidium oocysts from wastewater, extracting DNA, and detecting its genetic markers, using wastewater seeded with C. parvum oocysts. The evaluated concentration methods included electronegative membrane filtration, Envirocheck HV capsule filtration, centrifugation, and Nanotrap Microbiome particles. All methods except the Nanotrap Microbiome particles were conducted with or without additional purification via immunomagnetic separation. For DNA extractions, we tested the DNeasy Powersoil Pro kit and the QIAamp DNA Mini kit, while assessing the impact of bead beating and freeze-thaw cycles on DNA yield. Genetic detection was performed using qPCR targeting the Cryptosporidium 18S rRNA gene. Our results indicated that centrifugation yielded the highest oocyst recoveries (39-77%), followed by the Nanotrap Microbiome particles (24%), electronegative filtration with a phosphate buffered saline with 20% Tween 80 elution (22%), and Envirocheck HV capsule filtration (13%). IMS was found to be unsuitable due to interference from the wastewater matrix, significantly reducing recovery rates to 0.03 to 4%. DNA yields were highest with bead-beating pretreatment with either the DNeasy Powersoil Pro kit (314 gc/μL DNA) or the QIAamp DNA Mini kit (238 gc/μL DNA). In contrast, freeze-thaw pretreatment reduced DNA yields to under 92 gc/μL DNA, likely through DNA degradation. This study is amongst the first to compare different concentration methods, including Nanotrap Microbiome particles, and DNA extraction methods that can be utilized for Cryptosporidium spp. wastewater surveillance, highlighting the importance of method selection for accurate detection and quantification. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This work was funded by the Centers for Disease Control and Prevention (cooperative agreement no. CK-19-1904). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要