Luo, R., Liu, B., Xie, Y., Li, Z., Huang, W., Yuan, J., He, G., Chen, Y., Pan, Q. and Liu, Y. (2012) SOAPdenovo2: An Empirically Improved Memory-Efficient Short-Read de Novo Assembler. Gigascience, 1, 18.
https://doi.org/10.1186/2047-217X-1-18

has been cited by the following article:

• TITLE: Cost-Effective Discovery of Nucleotide Polymorphisms in Populations of an Allopolyploid Species Using Pool-Seq

  AUTHORS: Akira S. Hirao, Yoshihiko Onda, Rie Shimizu-Inatsugi, Jun Sese, Kentaro K. Shimizu, Tanaka Kenta

  KEYWORDS: Arabidopsis kamchatica, Allele Frequency, Homeolog, Individual-Based Genotyping, Massive Parallel Sequencing

  JOURNAL NAME: American Journal of Molecular Biology, Vol.7 No.4, September 14, 2017

  ABSTRACT: Population genetics studies of allopolyploid species lag behind those of diploid species because of practical difficulties in analysis of homeologs-duplicated gene copies originating from hybridized parental species. Pool-Seq, i.e. massive parallel sequencing of pooled individuals, has high potential for detecting nucleotide polymorphisms within and among multiple populations; however, its use has been limited to diploid species. We applied Pool-Seq to an allopolyploid species by developing a bioinformatic pipeline that assigns reads to each homeolog as well as to each polymorphic allele within each homeolog. We simultaneously sequenced eight genes from twenty individuals from each of 24 populations, and found over 100 polymorphic sites in each homeolog. For two sites, we estimated allele frequencies using the number of reads and then validated these estimations by making individual-based estimations. Pool-Seq using our bioinformatic pipeline allows efficient evaluation of nucleotide polymorphisms in a large number of individuals, even in allopolyploid species.