Secretion systems, macromolecules to pass which can mediate the across cellular membranes, are essential for virulent and genetic material exchange among bacterial species[1]. Type IV secretion system （T4SS） is one ...Secretion systems, macromolecules to pass which can mediate the across cellular membranes, are essential for virulent and genetic material exchange among bacterial species[1]. Type IV secretion system （T4SS） is one of the secretion systems and it usually consists of 12 genes： VirB1, VirB2 ...VirB11, and VirD4[2]. The structure and molecular mechanisms of these genes have been well analyzed in Gram-negative strains[3] and Gram-positive strains were once believed to be lack of T4SS. However, some recent studies revealed that one or more virB/D genes also exist in some kinds of Gram-positive bacteria and play similar role, and form a T4SS-like system[3]. The VirBl-like, VirB4, VirB6, and VirD4 genes were identified in the chromosome of Gram-positive bacterium Streptococcus suis in our previous studies and their role as important mobile elements for horizontal transfer to recipients in an 89 K pathogenicity island （PAl） was demonstrated[45]. However, their structure and molecular mechanisms in other strains, especially in Gram-positive strains, are remained unclear.展开更多
In silico genome mining provides easy access to secondary metabolite biosynthetic gene clusters(BGCs)encoding the biosynthesis of many bioactive compounds,which are the basis for many important drugs used in human med...In silico genome mining provides easy access to secondary metabolite biosynthetic gene clusters(BGCs)encoding the biosynthesis of many bioactive compounds,which are the basis for many important drugs used in human medicine.However,the association between BGCs and other functions encoded in the genomes of producers have remained elusive.Here,we present a systems biology workflow that integrates genome mining with a detailed pangenome analysis for detecting genes associated with a particular BGC.We analyzed 3,889 enterobacterial genomes and found 13,266 BGCs,represented by 252 distinct BGC families and 347 additional singletons.A pangenome analysis revealed 88 genes putatively associated with a specific BGC coding for the colon cancer-related colibactin that code for diverse metabolic and regulatory functions.The presented workflow opens up the possibility to discover novel secondary metabolites,better understand their physiological roles,and provides a guide to identify and analyze BGC associated gene sets.展开更多
基金supported by the National Natural Science Foundation of China (No. 81201322)the Priority Project on Infectious Disease Control and Prevention 2011ZX10004-001 and 2013ZX10003006-002 by the Chinese Ministry of Science and Technology and the Chinese Ministry of Healththe Foundation of State Key Laboratory for Infectious Disease Prevention and Control (Grand No. 2011SKLID303)
文摘Secretion systems, macromolecules to pass which can mediate the across cellular membranes, are essential for virulent and genetic material exchange among bacterial species[1]. Type IV secretion system （T4SS） is one of the secretion systems and it usually consists of 12 genes： VirB1, VirB2 ...VirB11, and VirD4[2]. The structure and molecular mechanisms of these genes have been well analyzed in Gram-negative strains[3] and Gram-positive strains were once believed to be lack of T4SS. However, some recent studies revealed that one or more virB/D genes also exist in some kinds of Gram-positive bacteria and play similar role, and form a T4SS-like system[3]. The VirBl-like, VirB4, VirB6, and VirD4 genes were identified in the chromosome of Gram-positive bacterium Streptococcus suis in our previous studies and their role as important mobile elements for horizontal transfer to recipients in an 89 K pathogenicity island （PAl） was demonstrated[45]. However, their structure and molecular mechanisms in other strains, especially in Gram-positive strains, are remained unclear.
基金supported by grants from the Novo Nordisk Foundation(NNF20CC0035580,NNF16OC0021746)。
文摘In silico genome mining provides easy access to secondary metabolite biosynthetic gene clusters(BGCs)encoding the biosynthesis of many bioactive compounds,which are the basis for many important drugs used in human medicine.However,the association between BGCs and other functions encoded in the genomes of producers have remained elusive.Here,we present a systems biology workflow that integrates genome mining with a detailed pangenome analysis for detecting genes associated with a particular BGC.We analyzed 3,889 enterobacterial genomes and found 13,266 BGCs,represented by 252 distinct BGC families and 347 additional singletons.A pangenome analysis revealed 88 genes putatively associated with a specific BGC coding for the colon cancer-related colibactin that code for diverse metabolic and regulatory functions.The presented workflow opens up the possibility to discover novel secondary metabolites,better understand their physiological roles,and provides a guide to identify and analyze BGC associated gene sets.
