Dataset Information

Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly divergent genome.

ABSTRACT: BACKGROUND: Sequencing of bacterial genomes became an essential approach to study pathogen virulence and the phylogenetic relationship among close related strains. Bacterium Enterococcus faecium emerged as an important nosocomial pathogen that were often associated with resistance to common antibiotics in hospitals. With highly divergent gene contents, it presented a challenge to the next generation sequencing (NGS) technologies featuring high-throughput and shorter read-length. This study was designed to investigate the properties and systematic biases of NGS technologies and evaluate critical parameters influencing the outcomes of hybrid assemblies using combinations of NGS data. RESULTS: A hospital strain of E. faecium was sequenced using three different NGS platforms: 454 GS-FLX, Illumina GAIIx, and ABI SOLiD4.0, to approximately 28-, 500-, and 400-fold coverage depth. We built a pipeline that merged contigs from each NGS data into hybrid assemblies. The results revealed that each single NGS assembly had a ceiling in continuity that could not be overcome by simply increasing data coverage depth. Each NGS technology displayed some intrinsic properties, i.e. base calling error, systematic bias, etc. The gaps and low coverage regions of each NGS assembly were associated with lower GC contents. In order to optimize the hybrid assembly approach, we tested with varying amount and different combination of NGS data, and obtained optimal conditions for assembly continuity. We also, for the first time, showed that SOLiD data could help make much improved assemblies of E. faecium genome using the hybrid approach when combined with other type of NGS data. CONCLUSIONS: The current study addressed the difficult issue of how to most effectively construct a complete microbial genome using today's state of the art sequencing technologies. We characterized the sequence data and genome assembly from each NGS technologies, tested conditions for hybrid assembly with combinations of NGS data, and obtained optimized parameters for achieving most cost-efficiency assembly. Our study helped form some guidelines to direct genomic work on other microorganisms, thus have important practical implications.

SUBMITTER: Wang Y

PROVIDER: S-EPMC3524012 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly divergent genome.

Wang Yajun Y Yu Yao Y Pan Bohu B Hao Pei P Li Yixue Y Shao Zhifeng Z Xu Xiaogang X Li Xuan X

BMC systems biology 20121217

<h4>Background</h4>Sequencing of bacterial genomes became an essential approach to study pathogen virulence and the phylogenetic relationship among close related strains. Bacterium Enterococcus faecium emerged as an important nosocomial pathogen that were often associated with resistance to common antibiotics in hospitals. With highly divergent gene contents, it presented a challenge to the next generation sequencing (NGS) technologies featuring high-throughput and shorter read-length. This stud ...[more]

PMID: 23282199

Similar Datasets

Project description:IntroductionMetagenomic next-generation sequencing (mNGS) assay for detecting infectious agents is now in the stage of being translated into clinical practice. With no approved approaches or guidelines available, laboratories adopt customized mNGS assays to detect clinical samples. However, the accuracy, reliability, and problems of these routinely implemented assays are not clear.ObjectivesTo evaluate the performance of 90 mNGS laboratories under routine testing conditions through analyzing identical samples.MethodsEleven microbial communities were generated using 15 quantitative microbial suspensions. They were used as reference materials to evaluate the false negatives and false positives of participating mNGS protocols, as well as the ability to distinguish genetically similar organisms and to identify true pathogens from other microbes based on fictitious case reports.ResultsHigh interlaboratory variability was found in the identification and the quantitative reads per million reads (RPM) values of each microbe in the samples, especially when testing microbes present at low concentrations (1 × 103 cell/ml or less). 42.2% (38/90) of the laboratories reported unexpected microbes (i.e. false positive problem). Only 56.7% (51/90) to 83.3% (75/90) of the laboratories showed a sufficient ability to obtain clear etiological diagnoses for three simulated cases combined with patient information. The analysis of the performance of mNGS in distinguishing genetically similar organisms in three samples revealed that only 56.6% to 63.0% of the laboratories recovered RPM ratios (RPM S. aureus /RPM S. epidermidis ) within the range of a 2-fold change of the initial input ratios (indicating a relatively low level of bias).ConclusionThe high interlaboratory variability found in both identifying microbes and distinguishing true pathogens emphasizes the urgent need for improving the accuracy and comparability of the results generated across different mNGS laboratories, especially in the detection of low-microbial-biomass samples.

Project description:Enterococcus faecium clinical isolates A902 and BM4538, which were resistant to relatively high levels of vancomycin (128 and 64 microg/ml, respectively) and to low levels of teicoplanin (4 microg/ml), and Enterococcus faecalis clinical isolates BM4539 and BM4540, which were resistant to moderate levels of vancomycin (16 microg/ml) and susceptible to teicoplanin (0.25 microg/ml), were studied. They were constitutively resistant by synthesis of peptidoglycan precursors ending with d-alanyl-d-lactate and harbored a chromosomal vanD gene cluster which was not transferable by conjugation to other enterococci. VanX(D) activity, which is not required in the absence of d-Ala-d-Ala, was low in the four strains, although none of the conserved residues was mutated; and the constitutive VanY(D) activity in the membrane fractions was inhibited by penicillin G. The mutations E(13)G in the region of d-alanine:d-alanine ligase (which is implicated in d-Ala1 binding in A902) and S(319)N of the serine involved in ATP binding in BM4538 and a 7-bp insertion at different locations in BM4539 and BM4540 (which led to putative truncated proteins) led to the production of an impaired enzyme and accounted for the lack of d-Ala-d-Ala-containing peptidoglycan precursors. The same 7-bp insertion in vanS(D) of BM4539 and BM4540 and a 1-bp deletion in vanS(D) of A902, which in each case led to a putative truncated and presumably nonfunctional protein, could account for the constitutive resistance. Strain BM4538, with a functional VanS(D), had a G(140)E mutation in VanR(D) that could be responsible for constitutive glycopeptide resistance. This would represent the first example of constitutive van gene expression due to a mutation in the structural gene for a VanR transcriptional activator. Study of these four additional strains that could be distinguished on the basis of their various assortments of mutations confirmed that all VanD-type strains isolated so far have mutations in the ddl housekeeping gene and in the acquired vanS(D) or vanR(D) gene that lead to constitutive resistance to vancomycin.

Dataset Information

Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly divergent genome.

Publications

Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly divergent genome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets