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Complete genome sequences of Streptomyces spp. isolated from disease-suppressive soils.

Stephen C HeinschSzu-Yi HsuLindsey Otto-HansonLinda KinkelMichael J Smanski
Published in: BMC genomics (2019)
Long read sequencing data facilitates large contig assembly for high-GC Streptomyces genomes. While the sample number is too small for a definitive conclusion, we do not see evidence that disease suppressive soil isolates are particularly privileged in terms of numbers of biosynthetic gene clusters. The strong sequence similarity between GS93-23 and previously isolated Streptomyces lydicus suggests that species recruitment may contribute to the evolution of disease-suppressive microbial communities.
Keyphrases
  • heavy metals
  • gene expression
  • squamous cell carcinoma
  • electronic health record
  • climate change
  • machine learning
  • deep learning
  • high resolution
  • liquid chromatography