Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays

In April 2009, a new influenza A (H1N1 2009) virus emerged that rapidly spread around the world. While current variants of this virus have caused widespread disease, particularly in vulnerable groups, there remains the possibility that future variants may cause increased virulence, drug resistance or vaccine escape. Early detection of these virus variants may offer the chance for increased containment and potentially prevention of the virus spread. We have developed and field-tested a resequencing kit that is capable of interrogating all eight segments of the 2009 influenza A(H1N1) virus genome and its variants, with added focus on critical regions such as drug-binding sites, structural components and mutation hotspots. The accompanying base-calling software (EvolSTAR) introduces novel methods that utilize neighbourhood hybridization intensity profiles and substitution bias of probes on the microarray for mutation confirmation and recovery of ambiguous base queries. Our results demonstrate that EvolSTAR is highly accurate and has a much improved call rate. The high throughput and short turn-around time from sample to sequence and analysis results (30 h for 24 samples) makes this kit an efficient large-scale evolutionary biosurveillance tool.

[1]  A Chakravarti,et al.  High-throughput variation detection and genotyping using microarrays. , 2001, Genome research.

[2]  Gary J. Vora,et al.  Identifying Influenza Viruses with Resequencing Microarrays , 2006, Emerging infectious diseases.

[3]  Baochuan Lin,et al.  Testing and Validation of High Density Resequencing Microarray for Broad Range Biothreat Agents Detection , 2009, PloS one.

[4]  A. Berno,et al.  New developments in high‐throughput resequencing and variation detection using high density microarrays , 2002, Human mutation.

[5]  Kazutaka Katoh,et al.  Recent developments in the MAFFT multiple sequence alignment program , 2008, Briefings Bioinform..

[6]  Ronald W. Davis,et al.  High-throughput, high-accuracy array-based resequencing , 2009, Proceedings of the National Academy of Sciences.

[7]  David Kulp,et al.  Model-P: a basecalling method for resequencing microarrays of diploid samples , 2005, ECCB/JBI.

[8]  R. Fleischmann,et al.  A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip® whole-genome resequencing platform , 2007, Nucleic Acids Research.

[9]  Mark Gerstein,et al.  Mismatch oligonucleotides in human and yeast: guidelines for probe design on tiling microarrays , 2008, BMC Genomics.

[10]  Baochuan Lin,et al.  Universal Detection and Identification of Avian Influenza Virus by Use of Resequencing Microarrays , 2009, Journal of Clinical Microbiology.

[11]  Wing-Kin Sung,et al.  LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens , 2008, BMC Bioinformatics.

[12]  黄亚明 MedScape , 2009 .

[13]  Christopher W. Wong,et al.  Tracking the evolution of the SARS coronavirus using high-throughput, high-density resequencing arrays. , 2004, Genome research.

[14]  Fernanda L. Sirota,et al.  Mapping the sequence mutations of the 2009 H1N1 influenza A virus neuraminidase relative to drug and antibody binding sites , 2009, Biology Direct.

[15]  Scott A. Sammons,et al.  Smallpox Virus Resequencing GeneChips Can Also Rapidly Ascertain Species Status for Some Zoonotic Non-Variola Orthopoxviruses , 2008, Journal of Clinical Microbiology.