ArticleInternational journal of molecular sciences2014
Differential proteomics analysis of Bacillus amyloliquefaciens and its genome-shuffled mutant for improving surfactin production.
Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Multi-omics investigation of high-transglutaminase production mechanisms inFrontiers in microbiology · 2025Article
- Article
- Genomics-guided discovery and structure identification of cyclic lipopeptides from the Bacillus siamensis JFL15.PloS one · 2018Article
- Determinants of selection in yeast evolved by genome shuffling.Biotechnology for biofuels · 2018Article
- Complete Genome Sequence ofGenome announcements · 2017Article
- A new strategy to express the extracellular α-amylase from Pyrococcus furiosus in Bacillus amyloliquefaciens.Scientific reports · 2016Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Genome shuffling technology was used as a novel whole-genome engineering approach to rapidly improve the antimicrobial lipopeptide yield of Bacillus amyloliquefaciens. Comparative proteomic analysis of the parental ES-2-4 and genome-shuffled FMB38 strains was conducted to examine the differentially expressed proteins. The proteome was separated by 2-DE (two dimensional electrophoresis) and analyzed by MS (mass spectrum). In the shuffled strain FMB38, 51 differentially expressed protein spots with higher than two-fold spot density were detected by gel image comparison. Forty-six protein spots were detectable by silver staining and further MS analysis. The results demonstrated that among the 46 protein spots expressed particularly induced in the genome-shuffled mutant, 15 were related to metabolism, five to DNA replication, recombination and repair, six to translation and post-translational modifications, one to cell secretion and signal transduction mechanisms, three to surfactin synthesis, two to energy production and conversion, and 14 to others. All these indicated that the metabolic capability of the mutant was improved by the genome shuffling. The study will enable future detailed investigation of gene expression and function linked with surfactin synthesis. The results of proteome analysis may provide information for metabolic engineering of Bacillus amyloliquefaciens for overproduction of surfactin.
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