PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 22, 2026Nucleic Acids Research2 citationsOpen Access

A noncanonical transcriptional regulation in natural product biosynthesis

View Full Paper
JWJinjin WangKWKehui WangJWJunbo Wang

Key Points

  • To investigate the role of the TenA-family protein LysR2 in natural product biosynthesis regulation.
  • Genetic analyses to determine the function of LysR2
  • Biochemical assays to study the interaction with LysR1
  • Characterization of transcriptional activation mechanisms
  • LysR2 functions as a transcriptional activator without a traditional DNA-binding domain
  • It activates transcription indirectly by displacing the repressor LysR1
  • This process broadens understanding of transcriptional regulation in bacterial biosynthesis

Abstract

Abstract TenA (transcription enhancement) family proteins are widespread in bacteria, yet their functions in regulating natural product biosynthesis remain largely unexplored. Here, we report that LysR2, a TenA-family protein encoded by the lysolipin I biosynthetic gene cluster, acts as a transcriptional activator. Genetic and biochemical analyses reveal that LysR2 employs a noncanonical mechanism. Lacking a standard DNA-binding domain, it does not bind target promoters directly. Instead, LysR2 activates transcription by specifically binding to the pathway-specific repressor, LysR1. This protein–protein interaction displaces LysR1 from its cognate promoter, thereby derepressing the transcription of the biosynthetic gene cluster. Our work provides the first experimental evidence for a regulatory role of a TenA-family protein and elucidates a unique indirect activation mechanism that broadens the paradigm of transcriptional regulation in bacterial natural product biosynthesis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6971bdad642b1836717e25cchttps://doi.org/10.1093/nar/gkag002
Ask AI
Helpful
Bookmark
Share
View Full Paper