The σB-dependent regulatory sRNA Rli47 represses isoleucine biosynthesis in Listeria monocytogenes through a direct interaction with the ilvA transcript.
Catarina M MarinhoPatrícia T Dos SantosBirgitte H KallipolitisJörgen JohanssonDmitriy IgnatovDuarte N GuerreiroPascal PiveteauConor P O'ByrnePublished in: RNA biology (2019)
The facultative intracellular pathogen Listeria monocytogenes can persist and grow in a diverse range of environmental conditions, both outside and within its mammalian host. The alternative sigma factor Sigma B (σB) plays an important role in this adaptability and is critical for the transition into the host. While some of the functions of the σB regulon in facilitating this transition are understood the role of σB-dependent small regulatory RNAs (sRNAs) remain poorly characterized. In this study, we focused on elucidating the function of Rli47, a σB-dependent sRNA that is highly induced in the intestine and in macrophages. Using a combination of in silico and in vivo approaches, a binding interaction was predicted with the Shine-Dalgarno region of the ilvA mRNA, which encodes threonine deaminase, an enzyme required for branched-chain amino acid biosynthesis. Both ilvA transcript levels and threonine deaminase activity were increased in a deletion mutant lacking the rli47 gene. The Δrli47 mutant displayed a shorter growth lag in isoleucine-depleted growth media relative to the wild-type, and a similar phenotype was also observed in a mutant lacking σB. The impact of the Δrli47 on the global transcription profile of the cell was investigated using RNA-seq, and a significant role for Rli47 in modulating amino acid metabolism was uncovered. Taken together, the data point to a model where Rli47 is responsible for specifically repressing isoleucine biosynthesis as a way to restrict growth under harsh conditions, potentially contributing to the survival of L. monocytogenes in niches both outside and within the mammalian host.
Keyphrases
- wild type
- rna seq
- listeria monocytogenes
- single cell
- amino acid
- transcription factor
- gene expression
- cell therapy
- protein kinase
- high glucose
- dna methylation
- genome wide
- diabetic rats
- binding protein
- big data
- electronic health record
- oxidative stress
- machine learning
- reactive oxygen species
- risk assessment
- data analysis
- bone marrow
- dna binding
- free survival
- endothelial cells
- artificial intelligence