Comparative Study of Eleven Mechanical Pretreatment Protocols for Cryptosporidium parvum DNA Extraction from Stool Samples.
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ABSTRACT:
SUBMITTER: Claudel L
PROVIDER: S-EPMC7912823 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Cryptosporidium hominis and Cryptosporidium parvum are associated with massive disease outbreaks worldwide. Because these two species have different transmission cycles, identification of these parasites to the species level in clinical samples may provide laboratory data of crucial importance in epidemiologic investigations. To date, the most reliable way to differentiate C. hominis and C. parvum is based on DNA sequencing analysis of PCR amplicons. Although this approach is very effective for differentiation of Cryptosporidium species, it is labor-intensive and time-consuming compared with methods that do not require DNA sequencing analysis as an additional step and that have been successfully used for specific identification of a number of pathogens. In this study, we describe a novel Luminex-based assay that can differentiate C. hominis from C. parvum in a rapid and cost-effective manner. The assay was validated by testing a total of 143 DNA samples extracted from clinical specimens, environmental samples, or samples artificially spiked with Cryptosporidium oocysts. As few as 10 oocysts per 300 microl of stools could be detected with this assay. The assay format includes species-specific probes linked to carboxylated Luminex microspheres that hybridize to a Cryptosporidium microsatellite-2 region (ML-2) where C. hominis and C. parvum differ by one nucleotide substitution. The assay proved to be 100% specific when samples that had been characterized by direct fluorescent antibody test (DFA) and DNA sequencing analysis were tested. In addition, the assay was more sensitive than DFA and provided species identification, which is an advantage for epidemiologic studies.
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Project description:Whole genome sequencing (WGS) of Cryptosporidium spp. has previously relied on propagation of the parasite in animals to generate enough oocysts from which to extract DNA of sufficient quantity and purity for analysis. We have developed and validated a method for preparation of genomic Cryptosporidium DNA suitable for WGS directly from human stool samples and used it to generate 10 high-quality whole Cryptosporidium genome assemblies. Our method uses a combination of salt flotation, immunomagnetic separation (IMS), and surface sterilisation of oocysts prior to DNA extraction, with subsequent use of the transposome-based Nextera XT kit to generate libraries for sequencing on Illumina platforms. IMS was found to be superior to caesium chloride density centrifugation for purification of oocysts from small volume stool samples and for reducing levels of contaminant DNA.The IMS-based method was used initially to sequence whole genomes of Cryptosporidium hominis gp60 subtype IbA10G2 and Cryptosporidium parvum gp60 subtype IIaA19G1R2 from small amounts of stool left over from diagnostic testing of clinical cases of cryptosporidiosis. The C. parvum isolate was sequenced to a mean depth of 51.8X with reads covering 100 % of the bases of the C. parvum Iowa II reference genome (Bioproject PRJNA 15586), while the C. hominis isolate was sequenced to a mean depth of 34.7X with reads covering 98 % of the bases of the C. hominis TU502 v1 reference genome (Bioproject PRJNA 15585). The method was then applied to a further 17 stools, successfully generating another eight new whole genome sequences, of which two were C. hominis (gp60 subtypes IbA10G2 and IaA14R3) and six C. parvum (gp60 subtypes IIaA15G2R1 from three samples, and one each of IIaA17G1R1, IIaA18G2R1, and IIdA22G1), demonstrating the utility of this method to sequence Cryptosporidium genomes directly from clinical samples. This development is especially important as it reduces the requirement to propagate Cryptosporidium oocysts in animal models prior to genome sequencing.This represents the first report of high-quality whole genome sequencing of Cryptosporidium isolates prepared directly from human stool samples.
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Project description:Fecal samples of 177 calves of up to 180 days of age with diarrhea from 70 farms in Austria were examined to obtain information on the occurrence of Cryptosporidium species. Initially, all samples were examined by phase-contrast microscopy. Cryptosporidium-positive samples (55.4%; n = 98) were screened by gp60 PCR, resulting in 68.4% (n = 67) C. parvum-positive samples. The remaining 31 gp60-PCR-negative and the phase-contrast microscopy negative samples (n = 79) were screened by PCR targeting a 700 bp fragment of the 18S rRNA gene. Sequencing of the PCR products revealed the presence of C. parvum (n = 69), C. ryanae (n = 11), and C. bovis (n = 7). The latter two species have never been described in Austria. C. parvum-positive samples were genotyped at the gp60 gene locus, featuring four subtypes (IIaA15G2R1, IIaA21G2R1, IIaA19G2R1, IIaA14G1R1). The most frequently detected subtype IIaA15G2R1 (n = 52) was present in calves from 30 different farms. IIaA14G1R1 (n = 5) occurred on a single farm, subtype IIaA21G2R1 (n = 4) on two farms, and subtype IIaA19G2R1 (n = 4) on three farms. The results confirm the widespread occurrence of zoonotic C. parvum in diarrheic calves.
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Project description:DNA studies of endangered or extinct species often rely on ancient or degraded remains. The majority of ancient DNA (aDNA) extraction protocols focus on skeletal elements, with skin and hair samples rarely explored. Similar to that found in bones and teeth, DNA extracted from historical or ancient skin and fur samples is also extremely fragmented with low endogenous content due to natural degradation processes. Thus, the development of effective DNA extraction methods is required for these materials. Here, we compared the performance of two DNA extraction protocols (commercial and custom laboratory aDNA methods) on hair and skin samples from decades-old museum specimens to Iron Age archaeological material. We found that apart from the impact sample-specific taphonomic and handling history has on the quantity and quality of DNA preservation, skin yielded more endogenous DNA than hair of the samples and protocols tested. While both methods recovered DNA from ancient soft tissue, the laboratory method performed better overall in terms of DNA yield and quality, which was primarily due to the poorer performance of the commercial binding buffer in recovering aDNA.
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Project description:INTRODUCTION:Cryptosporidium species is the most common opportunistic enteric parasite encountered in the immunocompromised patients. Considering the need to diagnose them early relies mostly on rapid tests such as antigen detection by immunochromatographic test (ICT), ELISA, and microscopy. However, the sensitivity and specificity varies with different methods and different kits used. This study was conducted to determine the intestinal parasitic profile in immunocompromised patients and to assess the diagnostic accuracy of the ICT using ImmunoCard STAT kit in detecting Cryptosporidium spp. MATERIALS AND METHODS:The patients in this study were divided into two groups: one group was immunocompromised patients (n = 73) and the other was nonimmunocompromised individuals (n = 73). Stool microscopy, ICT, and polymerase chain reaction (PCR) were carried out for all stool samples. RESULTS:Totally, 4 (5.4%) of 73 patients of the study group were positive for Cryptosporidium. The species detected were Cryptosporidium parvum and Cryptosporidium hominis. PCR was taken as gold standard in the current study. PCR detected Cryptosporidium in four samples while ICT in two samples and microscopy in one sample. CONCLUSION:Cryptosporidium was found to be the most common enteric parasite in the immunocompromised patients studied, followed by Cystoisospora, Entamoeba histolytica, and Strongyloides stercoralis. Although the ICT is a rapid test, it was less sensitive and more expensive in comparison to the PCR; hence, its utility appears to be limited in our setting.
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Project description:Cryptosporidiumparvum is a common protozoan pathogen responsible for moderate-to-severe diarrhea in humans and animals. The small genome of C. parvum has 22 genes encoding insulinlike proteases (INS) with diverse sequences, suggesting that members of the protein family may have different biological functions in the life cycle. In this study, two members of the INS family, CpINS-4 and CpINS-6 with the Zn2+-binding motif "HXXEH" but different numbers of function domains, were expressed in Escherichia coli and used in the generation of polyclonal antibodies. In both recombinant and native proteins, CpINS-4 and CpINS-6 were spliced into multiple fragments. The antibodies generated recognized their respective recombinant and native proteins and the spliced products, but had minimum cross-reactivity with each other. Anti-CpINS-4 antibodies reacted with the middle region of sporozoites and merozoites, while CpINS-6 had the highest reactivity to the apical region. Polyclonal anti-CpINS-4 antibodies produced 36% reduction in parasite load in HCT-8 cultures at 24 h, while those against CpINS-6, which has one of the function domains missing, failed in doing so. The genes encoding both CpINS-4 and CpINS-6 had the highest expression in the invasion phase of in vitro C. parvum culture. These data suggest that CpINS-4 and CpINS-6 might be expressed in different organelles and play different biological functions in the life cycle of C. parvum.
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Project description:The protozoan parasite Cryptosporidium is an important cause of diarrheal disease (cryptosporidiosis) in humans and animals, with significant morbidity and mortality especially in severely immunocompromised people and in young children in low-resource settings. Due to the sexual life cycle of the parasite, transmission is complex. There are no restrictions on sexual recombination between sub-populations, meaning that large-scale genetic recombination may occur within a host, potentially confounding epidemiological analysis. To clarify the relationships between infections in different hosts, it is first necessary to correctly identify species and genotypes, but these differentiations are not made by standard diagnostic tests and more sophisticated molecular methods have been developed. For instance, multilocus genotyping has been utilized to differentiate isolates within the major human pathogens, Cryptosporidium parvum and Cryptosporidium hominis. This has allowed mixed populations with multiple alleles to be identified: recombination events are considered to be the driving force of increased variation and the emergence of new subtypes. As yet, whole genome sequencing (WGS) is having limited impact on public health investigations, due in part to insufficient numbers of oocysts and purity of DNA derived from clinical samples. Moreover, because public health agencies have not prioritized parasites, validation has not been performed on user-friendly data analysis pipelines suitable for public health practitioners. Nonetheless, since the first whole genome assembly in 2004 there are now numerous genomes of human and animal-derived cryptosporidia publically available, spanning nine species. It has also been demonstrated that WGS from very low numbers of oocysts is possible, through the use of amplification procedures. These data and approaches are providing new insights into host-adapted infectivity, the presence and frequency of multiple sub-populations of Cryptosporidium spp. within single clinical samples, and transmission of infection. Analyses show that although whole genome sequences do indeed contain many alleles, they are invariably dominated by a single highly abundant allele. These insights are helping to better understand population structures within hosts, which will be important to develop novel prevention strategies in the fight against cryptosporidiosis.
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Project description:Host adaptation is known to occur in Cryptosporidium parvum, with IIa and IId subtype families preferentially infecting calves and lambs, respectively. To improve our understanding of the genetic basis of host adaptation in Cryptosporidium parvum, we sequenced the genomes of two IId specimens and one IIa specimen from China and Egypt using the Illumina technique and compared them with the published IIa IOWA genome. Sequence data were obtained for >99.3% of the expected genome. Comparative genomic analysis identified differences in numbers of three subtelomeric gene families between sequenced genomes and the reference genome, including those encoding SKSR secretory proteins, the MEDLE family of secretory proteins, and insulinase-like proteases. These gene gains and losses compared with the reference genome were confirmed by PCR analysis. Altogether, 5,191-5,766 single nucleotide variants were seen between genomes sequenced in this study and the reference genome, with most SNVs occurring in subtelomeric regions of chromosomes 1, 4, and 6. The most highly polymorphic genes between IIa and IId encode mainly invasion-associated and immunodominant mucin proteins, and other families of secretory proteins. Further studies are needed to verify the biological significance of these genomic differences.
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Project description:Stool samples typically contain PCR inhibitors; however, helminths are difficult to lyse and can cause false-negative PCR results. We assessed the effective methods for extracting DNA from different kinds of intestinal parasites. We compared the most common DNA extraction methods from stool samples, including the phenol-chloroform technique with or without a bead-beating step (P and PB), a QIAamp Fast DNA Stool Mini Kit (Q), and a QIAamp PowerFecal Pro DNA Kit (QB). Genomic DNA was extracted from 85 stool samples collected from patients infected with Blastocystis sp., Ascaris lumbricoides, Trichuris trichiura, hookworm, and Strongyloides stercoralis. DNA quantity and DNA quality were evaluated via spectrophotometry, and DNA integrity was assessed by PCR. We found that P and PB provided higher DNA yields (~4 times) than when using Q and QB. However, P showed the lowest detection rate of PCR (8.2%), wherein only S. stercoralis (7 out of 20 samples) was detected. QB showed the highest detection rate of PCR (61.2%). After plasmid spikes, only 5 samples by QB were negative while 60 samples by P were still negative. Remarkably, QB could extract DNA from all the groups of parasites that we tested. These results indicate that QB is the most effective DNA extraction method for the diagnosis and monitoring of intestinal parasites via PCR.
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Project description:When considering methods of detecting Cryptosporidium in patient samples, clinical and public health laboratories have historically relied primarily on microscopy. However, microscopy is time intensive and requires trained personnel to accurately identify pathogens that are present. Even with skilled analysts, the parasitemia level has the potential to fall below the level of detection. In addition, public health laboratories do not always receive specimens in fixatives that are compatible with the desired microscopic method. Antigen-based and molecular methods have proven to be effective at identifying Cryptosporidium at low levels and require less training and hands-on time. Here, we have developed and validated a real-time polymerase chain reaction (RT-PCR) laboratory-developed test (LDT) that identifies Cryptosporidium hominis and Cryptosporidium parvum, and also includes detection at the genus level to identify additional species that occasionally cause disease in humans. Results of the molecular test were compared with those obtained from modified acid-fast microscopy, immunofluorescent microscopy, an antigen-based detection rapid test, and a commercial gastrointestinal panel (GI panel). Of 40 positive samples, microscopy and antigen-based methods were able to detect Cryptosporidium in only 20 and 21 samples, respectively. The GI panel detected 33 of the 40 positive samples, even though not all specimens were received in the recommended preservative. The LDT detected Cryptosporidium in all 40 positive samples. When comparing each method for the detection of Cryptosporidium, our results indicate the LDT is an accurate, reliable, and cost-effective method for a clinical public health reference laboratory.
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