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RNA-Seq-Based Transcriptomic Analysis of Saccharopolyspora spinosa Revealed the Critical Function of PEP Phosphonomutase in the Replenishment Pathway.

Zhudong LiuZirong ZhuJianli TangHaocheng HeQianqian WanYuewen LuoWeitao HuangZiquan YuYibo HuXuezhi DingLi Qiu Xia
Published in: Journal of agricultural and food chemistry (2020)
Spinosyns, the secondary metabolites produced by Saccharopolyspora spinosa, are the active ingredients in a family of novel biological insecticides. Although the complete genome sequence of S. spinosa has been published, the transcriptome of S. spinosa remains poorly characterized. In this study, high-throughput RNA sequencing (RNA-seq) technology was applied to dissect the transcriptome of S. spinosa. Through transcriptomic analysis of different periods of S. spinosa growth, we found large numbers of differentially expressed genes and classified them according to their different functions. Based on the RNA-seq data, the CRISPR-Cas9 method was used to knock out the PEP phosphonomutase gene (orf 06952-4171). The yield of spinosyns A and D in S. spinosa-ΔPEP was 178.91 mg/L and 42.72 mg/L, which was 2.14-fold and 1.76-fold higher than that in the wild type (83.51 and 24.34 mg/L), respectively. The analysis of the mutant strains also verified the validity of the transcriptome data. The deletion of the PEP phosphonomutase gene leads to an increase in pyruvate content and affects the biosynthesis of spinosad. The replenishment of phosphoenol pyruvate in S. spinosa provides the substrate for the production of spinosad. We envision that these transcriptomic analysis results will contribute to the further study of secondary metabolites in actinomycetes.
Keyphrases
  • rna seq
  • single cell
  • high throughput
  • crispr cas
  • wild type
  • genome wide
  • escherichia coli
  • ms ms
  • copy number
  • dna methylation
  • machine learning
  • zika virus
  • deep learning
  • artificial intelligence
  • genome wide analysis