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Towards in vivo regulon kinetics: PurR activation by 5-phosphoribosyl-α-1-pyrophosphate during purine depletion in Lactococcus lactis
Author(s) -
Christian Bille Jendresen,
Peter Dimitrov,
Laurent Gautier,
Meng Liu,
Jan Martinussen,
Mogens Kilstrup
Publication year - 2014
Publication title -
microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.019
H-Index - 179
eISSN - 1465-2080
pISSN - 1350-0872
DOI - 10.1099/mic.0.077933-0
Subject(s) - regulon , riboswitch , lactococcus lactis , in vivo , biology , metabolite , regulation of gene expression , in silico , operon , microbiology and biotechnology , biochemistry , gene , chemistry , computational biology , genetics , gene expression , mutant , bacteria , non coding rna , lactic acid
Short-term adaptation to changing environments relies on regulatory elements translating shifting metabolite concentrations into a specifically optimized transcriptome. So far the focus of analyses has been divided between regulatory elements identified in vivo and kinetic studies of small molecules interacting with the regulatory elements in vitro. Here we describe how in vivo regulon kinetics can describe a regulon through the effects of the metabolite controlling it, exemplified by temporal purine exhaustion in Lactococcus lactis. We deduced a causal relation between the pathway precursor 5-phosphoribosyl-α-1-pyrophosphate (PRPP) and individual mRNA levels, whereby unambiguous and homogeneous relations could be obtained for PurR regulated genes, thus linking a specific regulon to a specific metabolite. As PurR activates gene expression upon binding of PRPP, the pur mRNA curves reflect the in vivo kinetics of PurR PRPP binding and activation. The method singled out the xpt-pbuX operon as kinetically distinct, which was found to be caused by a guanine riboswitch whose regulation was overlaying the PurR regulation. Importantly, genes could be clustered according to regulatory mechanism and long-term consequences could be distinguished from transient changes--many of which would not be seen in a long-term adaptation to a new environment. The strategy outlined here can be adapted to analyse the individual effects of members from larger metabolomes in virtually any organism, for elucidating regulatory networks in vivo.

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