Document Detail

A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks.
MedLine Citation:
PMID:  23303373     Owner:  NLM     Status:  MEDLINE    
Ticks transmit a variety of viral, bacterial and protozoal pathogens, which are often zoonotic. The aim of this study was to identify diverse tick microbiomes, which may contain as-yet unidentified pathogens, using a metagenomic approach. DNA prepared from bacteria/archaea-enriched fractions obtained from seven tick species, namely Amblyomma testudinarium, Amblyomma variegatum, Haemaphysalis formosensis, Haemaphysalis longicornis, Ixodes ovatus, Ixodes persulcatus and Ixodes ricinus, was subjected to pyrosequencing after whole-genome amplification. The resulting sequence reads were phylotyped using a Batch Learning Self-Organizing Map (BLSOM) program, which allowed phylogenetic estimation based on similarity of oligonucleotide frequencies, and functional annotation by BLASTX similarity searches. In addition to bacteria previously associated with human/animal diseases, such as Anaplasma, Bartonella, Borrelia, Ehrlichia, Francisella and Rickettsia, BLSOM analysis detected microorganisms belonging to the phylum Chlamydiae in some tick species. This was confirmed by pan-Chlamydia PCR and sequencing analysis. Gene sequences associated with bacterial pathogenesis were also identified, some of which were suspected to originate from horizontal gene transfer. These efforts to construct a database of tick microbes may lead to the ability to predict emerging tick-borne diseases. Furthermore, a comprehensive understanding of tick microbiomes will be useful for understanding tick biology, including vector competency and interactions with pathogens and symbionts.
Ryo Nakao; Takashi Abe; Ard M Nijhof; Seigo Yamamoto; Frans Jongejan; Toshimichi Ikemura; Chihiro Sugimoto
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2013-01-10
Journal Detail:
Title:  The ISME journal     Volume:  7     ISSN:  1751-7370     ISO Abbreviation:  ISME J     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-04-24     Completed Date:  2013-12-04     Revised Date:  2014-09-03    
Medline Journal Info:
Nlm Unique ID:  101301086     Medline TA:  ISME J     Country:  England    
Other Details:
Languages:  eng     Pagination:  1003-15     Citation Subset:  IM    
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MeSH Terms
Archaea / classification,  genetics,  isolation & purification
Bacteria / classification,  genetics,  isolation & purification
Eukaryota / classification,  genetics,  isolation & purification
Metagenomics / methods*
Tick-Borne Diseases / microbiology,  parasitology,  virology
Ticks / classification,  microbiology*,  parasitology*,  virology
Viruses / classification,  genetics,  isolation & purification
Erratum In:
ISME J. 2014 Aug;8(8):1752

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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