Dataset Information

DNA pyrosequencing-based bacterial pathogen identification in a pediatric hospital setting.

ABSTRACT: Sole reliance on biochemical methods can limit the clinical microbiology laboratory's ability to identify bacterial pathogens. This study describes the incorporation of DNA pyrosequencing-based identification for routine pathogen identification of atypical clinical isolates in a large children's hospital. The assay capitalized on the highly conserved nature of 16S rRNA genes by positioning amplification and sequencing primers in conserved target sequences flanking the variable V1 and V3 regions. A total of 414 isolates of 312 pediatric patients were tested by DNA pyrosequencing during the time period from December 2003 to July 2006. Seventy-eight different genera were specified by DNA pyrosequencing, and isolates were derived from diverse specimen types. By integrating DNA sequencing of bacterial pathogens with conventional microbiologic methods, isolates that lacked a definitive identification by biochemical testing yielded genus- or species-level identifications in approximately 90% of cases by pyrosequencing. Improvements incorporated into the assay process during the period of clinical testing included software enhancements, improvements in sequencing reagents, and refinements in database search strategies. Coupled with isolation by bacteriologic culture and biochemical testing, DNA pyrosequencing-based bacterial identification was a valuable tool that markedly improved bacterial pathogen identification in a pediatric hospital setting.

SUBMITTER: Luna RA

PROVIDER: S-EPMC2045277 | biostudies-literature | 2007 Sep

REPOSITORIES: biostudies-literature

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DNA pyrosequencing-based bacterial pathogen identification in a pediatric hospital setting.

Luna Ruth Ann RA Fasciano Lea R LR Jones Shaunte C SC Boyanton Bobby L BL Ton Trang T TT Versalovic James J

Journal of clinical microbiology 20070725 9

Sole reliance on biochemical methods can limit the clinical microbiology laboratory's ability to identify bacterial pathogens. This study describes the incorporation of DNA pyrosequencing-based identification for routine pathogen identification of atypical clinical isolates in a large children's hospital. The assay capitalized on the highly conserved nature of 16S rRNA genes by positioning amplification and sequencing primers in conserved target sequences flanking the variable V1 and V3 regions. ...[more]

PMID: 17652476

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Project description:Understanding microbial populations in hospital environments is crucial for improving human health. Hospital-acquired infections are an increasing problem in intensive care units (ICU). In this work we present an exploration of bacterial diversity at inanimate surfaces of the ICU wards of the University Hospital A Coruña (Spain), as an example of confined hospital environment subjected to selective pressure, taking the entrance hall of the hospital, an open and crowded environment, as reference. Surface swab samples were collected from both locations and recovered DNA used as template to amplify a hypervariable region of the bacterial 16S rRNA gene. Sequencing of the amplicons was performed at the Roche 454 Sequencing Center using GS-FLX Titanium procedures. Reads were pre-processed and clustered into OTUs (operational taxonomic units), which were further classified. A total of 16 canonical bacterial phyla were detected in both locations. Members of the phyla Firmicutes (mainly Staphylococcus and Streptococcus) and Actinobacteria (mainly Micrococcaceae, Corynebacteriaceae and Brevibacteriaceae) were over-represented in the ICU with respect to the Hall. The phyllum Proteobacteria was also well represented in the ICU, mainly by members of the families Enterobacteriaceae, Methylobacteriaceae and Sphingomonadaceae. In the Hall sample, the phyla Proteobacteria, Bacteroidetes, Deinococcus-Thermus and Cyanobacteria were over-represented with respect to the ICU. Over-representation of Proteobacteria was mainly due to the high abundance of Enterobacteriaceae members. The presented results demonstrate that bacterial diversity differs at the ICU and entrance hall locations. Reduced diversity detected at ICU, relative to the entrance hall, can be explained by its confined character and by the existence of antimicrobial selective pressure. This is the first study using deep sequencing techniques made in hospital wards showing substantial hospital microbial diversity.

Project description:BackgroundThe metagenomic analysis of microbial communities holds the potential to improve our understanding of the role of microbes in clinical conditions. Recent, dramatic improvements in DNA sequencing throughput and cost will enable such analyses on individuals. However, such advances in throughput generally come at the cost of shorter read-lengths, limiting the discriminatory power of each read. In particular, classifying the microbial content of samples by sequencing the < 1,600 bp 16S rRNA gene will be affected by such limitations.ResultsWe describe a method for identifying the phylogenetic content of bacterial samples using high-throughput Pyrosequencing targeted at the 16S rRNA gene. Our analysis is adapted to the shorter read-lengths of such technology and uses a database of 16S rDNA to determine the most specific phylogenetic classification for reads, resulting in a weighted phylogenetic tree characterizing the content of the sample. We present results for six samples obtained from the human vagina during pregnancy that corroborates previous studies using conventional techniques.Next, we analyze the power of our method to classify reads at each level of the phylogeny using simulation experiments. We assess the impacts of read-length and database completeness on our method, and predict how we do as technology improves and more bacteria are sequenced. Finally, we study the utility of targeting specific 16S variable regions and show that such an approach considerably improves results for certain types of microbial samples. Using simulation, our method can be used to determine the most informative variable region.ConclusionThis study provides positive validation of the effectiveness of targeting 16S metagenomes using short-read sequencing technology. Our methodology allows us to infer the most specific assignment of the sequence reads within the phylogeny, and to identify the most discriminative variable region to target. The analysis of high-throughput Pyrosequencing on human flora samples will accelerate the study of the relationship between the microbial world and ourselves.

Dataset Information

DNA pyrosequencing-based bacterial pathogen identification in a pediatric hospital setting.

Publications

DNA pyrosequencing-based bacterial pathogen identification in a pediatric hospital setting.

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