Molecular Genetics and Genomics

, Volume 279, Issue 5, pp 535–543

Genomic DNA sequence comparison between two inbred soybean cyst nematode biotypes facilitated by massively parallel 454 micro-bead sequencing


  • Sadia Bekal
    • Crop SciencesUniversity of Illinois
  • J. P. Craig
    • Crop SciencesUniversity of Illinois
  • M. E. Hudson
    • Crop SciencesUniversity of Illinois
  • T. L. Niblack
    • Crop SciencesUniversity of Illinois
  • L. L. Domier
    • USDA-ARS, Crop SciencesUniversity of Illinois
    • Crop SciencesUniversity of Illinois
Original Paper

DOI: 10.1007/s00438-008-0331-8

Cite this article as:
Bekal, S., Craig, J.P., Hudson, M.E. et al. Mol Genet Genomics (2008) 279: 535. doi:10.1007/s00438-008-0331-8


Heterodera glycines, the soybean cyst nematode (SCN), is a damaging agricultural pest that could be effectively managed if critical phenotypes, such as virulence and host range could be understood. While SCN is amenable to genetic analysis, lack of DNA sequence data prevents the use of such methods to study this pathogen. Fortunately, new methods of DNA sequencing that produced large amounts of data and permit whole genome comparative analyses have become available. In this study, 400 million bases of genomic DNA sequence were collected from two inbred biotypes of SCN using 454 micro-bead DNA sequencing. Comparisons to a BAC, sequenced by Sanger sequencing, showed that the micro-bead sequences could identify low and high copy number regions within the BAC. Potential single nucleotide polymorphisms (SNPs) between the two SCN biotypes were identified by comparing the two sets of sequences. Selected resequencing revealed that up to 84% of the SNPs were correct. We conclude that the quality of the micro-bead sequence data was sufficient for de novo SNP identification and should be applicable to organisms with similar genome sizes and complexities. The SNPs identified will be an important starting point in associating phenotypes with specific regions of the SCN genome.


SNPIndelHeterodera glycinesDNAPolymorphismGenetic

Copyright information

© Springer-Verlag 2008