Title
Exploiting next-generation sequencing to solve the haplotyping puzzle in polyploids: a simulation study.
Abstract
Haplotypes are the units of inheritance in an organism, and many genetic analyses depend on their precise determination. Methods for haplotyping single individuals use the phasing information available in next-generation sequencing reads, by matching overlapping single-nucleotide polymorphisms while penalizing post hoc nucleotide corrections made. Haplotyping diploids is relatively easy, but the complexity of the problem increases drastically for polyploid genomes, which are found in both model organisms and in economically relevant plant and animal species. Although a number of tools are available for haplotyping polyploids, the effects of the genomic makeup and the sequencing strategy followed on the accuracy of these methods have hitherto not been thoroughly evaluated. We developed the simulation pipeline haplosim to evaluate the performance of three haplotype estimation algorithms for polyploids: HapCompass, HapTree and SDhaP, in settings varying in sequencing approach, ploidy levels and genomic diversity, using tetraploid potato as the model. Our results show that sequencing depth is the major determinant of haplotype estimation quality, that 1 kb PacBio circular consensus sequencing reads and Illumina reads with large insert-sizes are competitive and that all methods fail to produce good haplotypes when ploidy levels increase. Comparing the three methods, HapTree produces the most accurate estimates, but also consumes the most resources. There is clearly room for improvement in polyploid haplotyping algorithms.
Year
DOI
Venue
2018
10.1093/bib/bbw126
BRIEFINGS IN BIOINFORMATICS
Keywords
Field
DocType
next-generation sequencing,haplotyping,polyploids,benchmarking
Genome,Deep sequencing,Polyploid,Ploidy,Biology,Haplotype,DNA sequencing,Bioinformatics,Genetics,Haplotype estimation
Journal
Volume
Issue
ISSN
19
3
1467-5463
Citations 
PageRank 
References 
1
0.37
16
Authors
4
Name
Order
Citations
PageRank
Ehsan Motazedi130.83
Richard Finkers244.16
Chris A. Maliepaard3122.98
Dick de Ridder478872.24