Optimal probe length varies for targets with high sequence variation: implications for probe library design for resequencing highly variable genes.
BACKGROUND
Sequencing by hybridisation is an effective method for obtaining large amounts of DNA sequence information at low cost. The efficiency of SBH depends on the design of the probe library to provide the maximum information for minimum cost. Long probes provide a higher probability of non-repeated sequences but lead to an increase in the number of probes required whereas short probes may not provide unique sequence information due to repeated sequences. We have investigated the effect of probe length, use of reference sequences, and thermal filtering on the design of probe libraries for several highly variable target DNA sequences.


RESULTS
We designed overlapping probe libraries for a range of highly variable drug target genes based on known sequence information and develop a formal terminology to describe probe library design. We find that for some targets these libraries can provide good coverage of a previously unseen target whereas for others the coverage is less than 30%. The optimal probe length varies from as short at 12 nt to as large as 19 nt and depends on the sequence, its variability, and the stringency of thermal filtering. It cannot be determined from inspection of an example gene sequence.


CONCLUSIONS
Optimal probe length and the optimal number of reference sequences used to design a probe library are highly target specific for highly variable sequencing targets. The optimum design cannot be determined simply by inspection of input sequences or of alignments but only by detailed analysis of the each specific target. For highly variable sequences, shorter probes can in some cases provide better information than longer probes. Probe library design would benefit from a general purpose tool for analysing these issues. The formal terminology developed here and the analysis approaches it is used to describe will contribute to the development of such tools.
Haslam
Niall J
NJ
School of Chemistry, University of Southampton, Southhampton, United Kingdom. haslam@embl.de
Whiteford
Nava E
NE
Weber
Gerald
G
Prügel-Bennett
Adam
A
Essex
Jonathan W
JW
Neylon
Cameron
C
D006678:HIV / Q000235:genetics; D016174:Hepacivirus / Q000235:genetics; D015335:Molecular Probes; D009975:Orthomyxoviridae / Q000235:genetics; D020641:Polymorphism, Single Nucleotide; D017422:Sequence Analysis, DNA
D015335:Molecular Probes