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Biology subjects

Lund, P. A.

Publications and source records attributed to Lund, P. A..

4 recordsLinked to original sources

AscA (YecA) is a molecular chaperone involved in Sec-dependent protein translocation in Escherichia coli

Proteins that are translocated across the cytoplasmic membrane by Sec machinery must be in an unfolded conformation in order to pass through the protein-conducting channel during translocation. Molecular chaperones assist Sec-dependent protein translocation by holding substrate proteins in an unfolded conformation in the cytoplasm until they can be delivered to the membrane-embedded Sec machinery. For example, in Escherichia coli, SecB binds to a subset of unfolded Sec substrates and delivers them to the Sec machinery by interacting with the metal-binding domain (MBD) of SecA, an ATPase required for translocation in bacteria. Here, we describe a novel molecular chaperone involved Sec-dependent protein translocation, which we have named AscA (for accessory Sec component). AscA contains a metal-binding domain (MBD) that is nearly identical to the MBD of SecA. In vitro binding studies indicated that AscA binds to SecB and ribosomes in an MBD-dependent fashion. Saturated transposon mutagenesis and genetics studies suggested that AscA is involved in cell-envelope biogenesis and that its function overlaps with that of SecB. In support of this idea, AscA copurified with a range of proteins and prevented the aggregation of citrate synthase in vitro. Our results suggest that AscA is molecular chaperone and that it enhances Sec-dependent protein translocation by delivering its substrate proteins to SecB. IMPORTANCEThis research describes the discovery of a novel molecular chaperone, AscA (YecA). The function of AscA was previously unknown. However, it contains a small domain, known as the MBD, suggesting it could interact with the bacterial Sec machinery, which is responsible for transporting proteins across the cytoplasmic membrane. The work described this study indicates that the MBD allows AscA to bind to both the protein synthesis machinery and the Sec machinery. The previously function of the previously uncharacterised N-terminal domain is that of a molecular chaperone, which binds to unfolded substrate proteins. We propose that AscA binds to protein substrates as they are still be synthesised by ribosomes in order to channel them into the Sec pathway.

molecular biology↗

Chaperonin Abundance Boosts Bacterial Fitness

The ability of chaperonins to buffer mutations that affect protein folding pathways suggests that their abundance should be evolutionarily advantageous. Here, we investigate the effect of chaperonin overproduction on cellular fitness in Escherichia coli. We demonstrate that chaperonin abundance confers (a) an ability to tolerate higher temperatures, (b) improved cellular fitness and (c) enhanced folding of metabolic enzymes, which is expected to lead to enhanced energy harvesting potential.

biochemistry↗

A Bayesian Non-parametric Mixed-Effects Model of MicrobialPhenotypes

Substantive changes in gene expression, metabolism, and the proteome are manifested in overall changes in microbial population growth. Quantifying how microbes grow is therefore fundamental to areas such as genetics, bioengineering, and food safety. Traditional parametric growth curve models capture the population growth behavior through a set of summarizing parameters. However, estimation of these parameters from data is confounded by random effects such as experimental variability, batch effects or differences in experimental material. A systematic statistical method to identify and correct for such confounding effects in population growth data is not currently available. Further, our previous work has demonstrated that parametric models are insufficient to explain and predict microbial response under non-standard growth conditions. Here we develop a hierarchical Bayesian non-parametric model of population growth that identifies the latent growth behavior and response to perturbation, while simultaneously correcting for random effects in the data. This model enables more accurate estimates of the biological effect of interest, while better accounting for the uncertainty due to technical variation. Additionally, modeling hierarchical variation provides estimates of the relative impact of various confounding effects on measured population growth.

systems biology↗

Reconstructing Promoter Activity From Lux Bioluminescent Reporters

The bacterial Lux system is used as a gene expression reporter. It is fast, sensitive and non-destructive, enabling high frequency measurements. Originally developed for bacterial cells, it has been adapted for eukaryotic cells, and can be used for whole cell biosensors, or in real time with live animals without the need for slaughter. However, correct interpretation of bioluminescent data is limited: the bioluminescence is different from gene expression because of nonlinear molecular and enzyme dynamics of the Lux system. We have developed a modelling approach that, for the first time, allows users of Lux assays to infer gene transcription levels from the light output. We show examples where a decrease in bioluminescence would be better interpreted as a switching off of the promoter, or where an increase in bioluminescence would be better interpreted as a longer period of gene expression. This approach could benefit all users of Lux technology.

bioinformatics↗