Aline Metris - Academia.edu (original) (raw)

Papers by Aline Metris

Research paper thumbnail of A Proposed Essential Gene Discovery Pipeline: A Campylobacter jejuni Case Study

Methods in Molecular Biology, 2015

Genes required for an organism's growth and survival are termed essential and rep... more Genes required for an organism's growth and survival are termed essential and represent potential intervention targets. Following in the footsteps of the genomics era, the "next-gen" genomic era provides vast amounts of genetic information. Sequencing of a representative bacterial pathogen genome has been superseded by sequencing of whole strain collections, whether from environmental or clinical sources (Harris et al., Science 327:469-474, 2010; Lewis et al., J Hosp Infect 75:37-41, 2010; Beres et al., Proc Natl Acad Sci U S A 107:4371-4376, 2010; Qi et al., PLoS Pathog 5:e1000580, 2009; He et al., Proc Natl Acad Sci U S A 107:7527-7532, 2010; Barrick et al., Nature 461:1243-1247, 2009; Sheppard et al., Mol Ecol 22:1051-1064, 2013). However, the challenge of using this information to gain biological insight remains. Nonetheless, this information, in combination with experimental data from the literature, can serve as the framework for gaining a better understanding of an organism's biology. Generic metabolic pathways have long been known, and a number of websites (e.g., KEGG and BioCyc) attempt to map information from genome annotation to metabolic pathways (Kanehisa et al., Nucleic Acids Res 40:D109-D114, 2010; Karp et al., Nucleic Acids Res 33:6083-6089, 2005). Extending this analysis to incorporate metabolic flux models further allows in silico prediction of potential essential genes. Such efforts are of value, either to highlight novel generic antimicrobials or to seek novel treatments for non-paradigm organisms. Such in silico approaches are attractive as they can highlight pathways and genes that would otherwise only be identified by costly and time-consuming laboratory methods.

Research paper thumbnail of Distribution of turbidity detection times produced by single cell-generated bacterial populations

Journal of Microbiological Methods, 2003

The distributions of the times to turbidity for wells inoculated with single cells of Listeria in... more The distributions of the times to turbidity for wells inoculated with single cells of Listeria innocua were determined in different environmental conditions (pH 4.5 to 7 and with 0.5% to 8% of NaCl at 30 degrees C). It was established by statistical analysis that the main source of the variability of the detection times, T, is the variability of individual lag times. A linear relation dev(T) approximately T was observed between the detection times and their standard deviation. At slow growth, other sources of variability became increasingly significant.

Research paper thumbnail of Physiological state of single cells of Listeria innocua in organic acids

International Journal of Food Microbiology, 2008

Research paper thumbnail of Predictive modelling of Salmonella: From cell cycle measurements to e-models

Food Research International, 2012

Research paper thumbnail of In vivo and in silico determination of essential genes of Campylobacter jejuni

Research paper thumbnail of Modelling shock loadings and starvation in the biofiltration of toluene and xylene

Journal of Chemical Technology & Biotechnology, 2001

ABSTRACT

Research paper thumbnail of A Proposed Essential Gene Discovery Pipeline: A Campylobacter jejuni Case Study

Methods in Molecular Biology, 2015

Genes required for an organism's growth and survival are termed essential and rep... more Genes required for an organism's growth and survival are termed essential and represent potential intervention targets. Following in the footsteps of the genomics era, the "next-gen" genomic era provides vast amounts of genetic information. Sequencing of a representative bacterial pathogen genome has been superseded by sequencing of whole strain collections, whether from environmental or clinical sources (Harris et al., Science 327:469-474, 2010; Lewis et al., J Hosp Infect 75:37-41, 2010; Beres et al., Proc Natl Acad Sci U S A 107:4371-4376, 2010; Qi et al., PLoS Pathog 5:e1000580, 2009; He et al., Proc Natl Acad Sci U S A 107:7527-7532, 2010; Barrick et al., Nature 461:1243-1247, 2009; Sheppard et al., Mol Ecol 22:1051-1064, 2013). However, the challenge of using this information to gain biological insight remains. Nonetheless, this information, in combination with experimental data from the literature, can serve as the framework for gaining a better understanding of an organism's biology. Generic metabolic pathways have long been known, and a number of websites (e.g., KEGG and BioCyc) attempt to map information from genome annotation to metabolic pathways (Kanehisa et al., Nucleic Acids Res 40:D109-D114, 2010; Karp et al., Nucleic Acids Res 33:6083-6089, 2005). Extending this analysis to incorporate metabolic flux models further allows in silico prediction of potential essential genes. Such efforts are of value, either to highlight novel generic antimicrobials or to seek novel treatments for non-paradigm organisms. Such in silico approaches are attractive as they can highlight pathways and genes that would otherwise only be identified by costly and time-consuming laboratory methods.

Research paper thumbnail of Distribution of turbidity detection times produced by single cell-generated bacterial populations

Journal of Microbiological Methods, 2003

The distributions of the times to turbidity for wells inoculated with single cells of Listeria in... more The distributions of the times to turbidity for wells inoculated with single cells of Listeria innocua were determined in different environmental conditions (pH 4.5 to 7 and with 0.5% to 8% of NaCl at 30 degrees C). It was established by statistical analysis that the main source of the variability of the detection times, T, is the variability of individual lag times. A linear relation dev(T) approximately T was observed between the detection times and their standard deviation. At slow growth, other sources of variability became increasingly significant.

Research paper thumbnail of Physiological state of single cells of Listeria innocua in organic acids

International Journal of Food Microbiology, 2008

Research paper thumbnail of Predictive modelling of Salmonella: From cell cycle measurements to e-models

Food Research International, 2012

Research paper thumbnail of In vivo and in silico determination of essential genes of Campylobacter jejuni

Research paper thumbnail of Modelling shock loadings and starvation in the biofiltration of toluene and xylene

Journal of Chemical Technology & Biotechnology, 2001

ABSTRACT