Literature DB >> 23871857

Optimizing SNP microarray probe design for high accuracy microbial genotyping.

Shea N Gardner1, James B Thissen, Kevin S McLoughlin, Tom Slezak, Crystal J Jaing.   

Abstract

Microarrays to characterize single nucleotide polymorphisms (SNPs) provide a cost-effective and rapid method (under 24h) to genotype microbes as an alternative to sequencing. We developed a pipeline for SNP discovery and microarray design that scales to 100's of microbial genomes. Here we tested various SNP probe design strategies against 8 sequenced isolates of Bacillus anthracis to compare sequence and microarray data. The best strategy allowed probe length to vary within 32-40 bp to equalize hybridization free energy. This strategy resulted in a call rate of 99.52% and concordance rate of 99.86% for finished genomes. Other probe design strategies averaged substantially lower call rates (94.65-96.41%) and slightly lower concordance rates (99.64-99.80%). These rates were lower for draft than finished genomes, consistent with higher incidence of sequencing errors and gaps. Highly accurate SNP calls were possible in complex soil and blood backgrounds down to 1000 copies, and moderately accurate SNP calls down to 100 spiked copies. The closest genome to the spiked strain was correctly identified at only 10 spiked copies. Discrepancies between sequence and array data did not alter the SNP-based phylogeny, regardless of the probe design strategy, indicating that SNP arrays can accurately place unsequenced isolates on a phylogeny.
© 2013. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacillus anthracis; Microbial genotyping; Probe design optimization; SNP detection; SNP microarrays; Strain typing

Mesh:

Substances:

Year:  2013        PMID: 23871857     DOI: 10.1016/j.mimet.2013.07.006

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  6 in total

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2.  Photo-attachment of biomolecules for miniaturization on wicking Si-nanowire platform.

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3.  Characterization of Genetic Variability of Venezuelan Equine Encephalitis Viruses.

Authors:  Shea N Gardner; Kevin McLoughlin; Nicholas A Be; Jonathan Allen; Scott C Weaver; Naomi Forrester; Mathilde Guerbois; Crystal Jaing
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

4.  One-step colorimetric genotyping of single nucleotide polymorphism using probe-enhanced loop-mediated isothermal amplification (PE-LAMP).

Authors:  Sheng Ding; Rong Chen; Gangyi Chen; Mei Li; Jiayu Wang; Jiawei Zou; Feng Du; Juan Dong; Xin Cui; Xin Huang; Yun Deng; Zhuo Tang
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Review 5.  Microarray experiments and factors which affect their reliability.

Authors:  Roman Jaksik; Marta Iwanaszko; Joanna Rzeszowska-Wolny; Marek Kimmel
Journal:  Biol Direct       Date:  2015-09-03       Impact factor: 4.540

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Journal:  BMC Genomics       Date:  2014-07-07       Impact factor: 3.969

  6 in total

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