Dataset Information

Identification of piggyBac-mediated insertions in Plasmodium berghei by next generation sequencing.

ABSTRACT:

Background

The piggyBac transposon system provides a powerful forward genetics tool to study gene function in Plasmodium parasites via random insertion mutagenesis and phenotypic screening. The identification of genotype of piggyBac mutants in the Plasmodium genome is thus an indispensable step in forward genetic analysis. Several PCR-based approaches have been used to identify the piggyBac insertion sites in Plasmodium falciparum and Plasmodium berghei, but all are tedious and inefficient. Next generation sequencing can produce large amounts of sequence data and is particularly suitable for genome-wide association studies. In this study, the Next generation sequencing technology was employed to efficiently identify piggyBac insertion sites in the genome of P. berghei.

Methods

Plasmodium berghei parasites were co-transfected with piggyBac donor and helper plasmids. Initially, the classical inverse PCR method was used to identify the existence of piggyBac insertions in the P. berghei genome. The whole genome of post-transfection parasites was subsequently sequenced with a PCR-free paired-end module using the Illumina HiSeq sequencing system. The two distinct methods ('BLAST method' and 'SOAP method') were employed to identify piggyBac insertion sites in the P. berghei genome with Illumina sequencing data. All the identified piggyBac insertions were further tested by half-nested PCR.

Results

The inverse PCR method resulted in a very low yield of ten individual insertions identified. Conversely, 47 piggyBac insertions were identified from about 1 Gb of Illumina sequencing data via the two distinct analysis methods. The majority of identified piggyBac insertions were confirmed by half-nested PCR. In addition, 1,850 single nucleotide polymorphisms were identified through alignment of the Illumina sequencing data of the P. berghei ANKA strain used in this study with the reference genome sequences.

Conclusion

This study demonstrates that a high-throughput genome sequencing approach is an efficient tool for the identification of piggyBac-mediated insertions in Plasmodium parasites.

SUBMITTER: Cao Y

PROVIDER: S-EPMC3765144 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Publications

Identification of piggyBac-mediated insertions in Plasmodium berghei by next generation sequencing.

Cao Yi Y Rui Bing B Wellems Dianne L DL Li Mingxing M Chen Biaobang B Zhang Dongmei D Pan Weiqing W

Malaria journal 20130821

<h4>Background</h4>The piggyBac transposon system provides a powerful forward genetics tool to study gene function in Plasmodium parasites via random insertion mutagenesis and phenotypic screening. The identification of genotype of piggyBac mutants in the Plasmodium genome is thus an indispensable step in forward genetic analysis. Several PCR-based approaches have been used to identify the piggyBac insertion sites in Plasmodium falciparum and Plasmodium berghei, but all are tedious and inefficie ...[more]

PMID: 23961915

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Project description:BackgroundAccurate identification of primary pathogens in foot infections remains challenging due to the diverse microbiome. Conventional culture may show false-positive or false-negative growth, leading to ineffective postoperative antibiotic treatment. Next-generation sequencing (NGS) has been explored as an alternative to standard culture in orthopedic infections. NGS is highly sensitive and can detect an entire bacterial genome along with genes conferring antibiotic resistance in a given sample. We investigated the potential use of NGS for accurate identification and quantification of microbes in infected diabetic foot ulcer (DFU). We hypothesize that NGS will aid identification of dominant pathogen and provide a more complete profile of microorganisms in infected DFUs compared to the standard culture method.MethodsData were prospectively collected from 30 infected DFU patients who underwent operative treatment by a fellowship-trained orthopedic foot and ankle surgeon from October 2018 to September 2019. The average age of the patient was 60.4 years. Operative procedures performed were irrigation and debridement (12), toe or ray amputation (13), calcanectomies (4), and below-the-knee amputation (1). Infected bone specimens were obtained intraoperatively and processed for standard culture and NGS. Concordance between the standard culture and NGS was assessed.ResultsIn 29 of 30 patients, pathogens were identified by both NGS and culture, with a concordance rate of 70%. In standard culture, Staphylococcus aureus (58.6%) was the most common pathogen, followed by coagulase-negative Staphylococcus (24.1%), Corynebacterium striatum (17.2%), and Enterococcus faecalis (17.2%). In NGS, Finegoldia magna (44.8%) was the most common microorganism followed by S. aureus (41.4%), and Anaerococcus vaginalis (24.1%). On average, NGS revealed 5.1 (range, 1-11) pathogens in a given sample, whereas culture revealed 2.6 (range, 1-6) pathogens.ConclusionNGS is an emerging molecular diagnostic method of microbial identification in orthopedic infection. It frequently provides different profiles of microorganisms along with antibiotic-resistant gene information compared to conventional culture in polymicrobial foot infection. Clinical use of NGS for management of foot and ankle infections warrants further investigation.Level of evidenceLevel II, diagnostic study.

Dataset Information

Identification of piggyBac-mediated insertions in Plasmodium berghei by next generation sequencing.

Background

Methods

Results

Conclusion

Publications

Identification of piggyBac-mediated insertions in Plasmodium berghei by next generation sequencing.

Similar Datasets

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