Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads

  1. Takehiko Itoh1,4
  1. 1 Tokyo Institute of Technology;
  2. 2 National Institute of Genetics;
  3. 3 University of Miyazaki
  1. * Corresponding author; email: takehiko{at}bio.titech.ac.jp

Abstract

Although many de novo genome assembly projects have recently been performed using high-throughput sequencers, assembling the highly heterozygous diploid genomes is a big scientific challenge due to the increased complexity of the de Bruijn graph structure predominantly employed. To deal with an increasing demand for sequencing of non-model and/or wild-type sample, in most cases, inbred lines or fosmid-based hierarchical sequencing methods are employed with overcoming such problems. However, these methods are costly and time consuming, forfeiting the advantage of massive parallel sequencing. Here, we describe a novel de novo assembler, Platanus, which can effectively manage high-throughput data from heterozygous samples. Platanus assembles DNA fragments (reads) into contigs by constructing de Bruijn graphs with automatically optimized k-mer sizes, followed by scaffolding of contigs based on paired-end information. The complicated graph structures that result from the heterozygosity are simplified during not only the contig assembly step but also the scaffolding step. We evaluated the assembly results on eukaryotic samples with various levels of heterozygosity. Compared with other assemblers, the Platanus assembly results have a larger NG50 length without any accompanying loss of accuracy in both simulated data and real data. In addition, Platanus recorded the largest NG50 values for two of the three low heterozygous species used in the de novo assembly contest, Assemblathon2. Platanus provides, therefore, a novel and efficient approach for the assembly of Giga base-sized highly heterozygous genomes and is also an attractive alternative to the existing assemblers designed for genomes of lower heterozygosity.

  • Received December 6, 2013.
  • Accepted April 21, 2014.

This manuscript is Open Access.

This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/.

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