ArticleBMC bioinformatics2009
Efficient oligonucleotide probe selection for pan-genomic tiling arrays.
Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Whole-Genome Sequencing of Pathogens in Saliva : A Target-Enrichment Approach for SARS-CoV-2.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes.Antimicrobial agents and chemotherapy · 2019Article
- Capturing sequence diversity in metagenomes with comprehensive and scalable probe design.Nature biotechnology · 2019Article
- Short Read Mapping: An Algorithmic Tour.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2017Article
- The bacterial pangenome as a new tool for analysing pathogenic bacteria.New microbes and new infections · 2015Article
- Absence/presence calling in microarray-based CGH experiments with non-model organisms.Nucleic acids research · 2014Article
- Reassessment of the Listeria monocytogenes pan-genome reveals dynamic integration hotspots and mobile genetic elements as major components of the accessory genome.BMC genomics · 2013Article
- TAAPP: Tiling Array Analysis Pipeline for Prokaryotes.Genomics, proteomics & bioinformatics · 2011Article
- Comparative genomics of the bacterial genus Listeria: Genome evolution is characterized by limited gene acquisition and limited gene loss.BMC genomics · 2010Article
- Probing the pan-genome of Listeria monocytogenes: new insights into intraspecific niche expansion and genomic diversification.BMC genomics · 2010Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundArray comparative genomic hybridization is a fast and cost-effective method for detecting, genotyping, and comparing the genomic sequence of unknown bacterial isolates. This method, as with all microarray applications, requires adequate coverage of probes targeting the regions of interest. An unbiased tiling of probes across the entire length of the genome is the most flexible design approach. However, such a whole-genome tiling requires that the genome sequence is known in advance. For the accurate analysis of uncharacterized bacteria, an array must query a fully representative set of sequences from the species' pan-genome. Prior microarrays have included only a single strain per array or the conserved sequences of gene families. These arrays omit potentially important genes and sequence variants from the pan-genome.
resultsThis paper presents a new probe selection algorithm (PanArray) that can tile multiple whole genomes using a minimal number of probes. Unlike arrays built on clustered gene families, PanArray uses an unbiased, probe-centric approach that does not rely on annotations, gene clustering, or multi-alignments. Instead, probes are evenly tiled across all sequences of the pan-genome at a consistent level of coverage. To minimize the required number of probes, probes conserved across multiple strains in the pan-genome are selected first, and additional probes are used only where necessary to span polymorphic regions of the genome. The viability of the algorithm is demonstrated by array designs for seven different bacterial pan-genomes and, in particular, the design of a 385,000 probe array that fully tiles the genomes of 20 different Listeria monocytogenes strains with overlapping probes at greater than twofold coverage.
conclusionPanArray is an oligonucleotide probe selection algorithm for tiling multiple genome sequences using a minimal number of probes. It is capable of fully tiling all genomes of a species on a single microarray chip. These unique pan-genome tiling arrays provide maximum flexibility for the analysis of both known and uncharacterized strains.
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