Details:

Alternative Title:
PLoS One
Publisher's site:
http://dx.doi.org/10.1371/journal.pone.0174701
Personal Author:
Diaz, Maureen H.; Desai, Heta P.; Morrison, Shatavia S.; Benitez, Alvaro J.; Wolff, Bernard J.; ... More +
Diaz, Maureen H.; Desai, Heta P.; Morrison, Shatavia S.; Benitez, Alvaro J.; Wolff, Bernard J.; Caravas, Jason; Read, Timothy D.; Dean, Deborah; Winchell, Jonas M.; Less -
Description:
Mycoplasma pneumoniae is a significant cause of respiratory illness worldwide. Despite a minimal and highly conserved genome, genetic diversity within the species may impact disease. We performed whole genome sequencing (WGS) analysis of 107 M. pneumoniae isolates, including 67 newly sequenced using the Pacific BioSciences RS II and/or Illumina MiSeq sequencing platforms. Comparative genomic analysis of 107 genomes revealed >3,000 single nucleotide polymorphisms (SNPs) in total, including 520 type-specific SNPs. Population structure analysis supported the existence of six distinct subgroups, three within each type. We developed a predictive model to classify an isolate based on whole genome SNPs called against the reference genome into the identified subtypes, obviating the need for genome assembly. This study is the most comprehensive WGS analysis for M. pneumoniae to date, underscoring the power of combining complementary sequencing technologies to overcome difficult-to-sequence regions and highlighting potential differential genomic signatures in M. pneumoniae.
Subject:
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Bacterial Typing Techniques
Bayes Theorem
Cluster Analysis
Computational Biology
Genetic Variation
Genome, Bacterial
High-Throughput Nucleotide Sequencing
Mycoplasma Pneumoniae
Phylogeny
Polymorphism, Single Nucleotide
Sequence Analysis, DNA

Source:
PLoS One. 12(4).;
Pubmed ID:
28410368
Pubmed Central ID:
PMC5391922
Document Type:
Journal Article;
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:76a6bb9ef1f8490c7b81e2b8fca1e0aacbb065b6e301318bae2b692937589854
File Type:

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