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      Novel Essential Role of Ethanol Oxidation Genes at Low Temperature Revealed by Transcriptome Analysis in the Antarctic Bacterium Pseudomonas extremaustralis

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          Abstract

          Temperature is one of the most important factors for bacterial growth and development. Cold environments are widely distributed on earth, and psychrotolerant and psychrophilic microorganisms have developed different adaptation strategies to cope with the stress derived from low temperatures. Pseudomonas extremaustralis is an Antarctic bacterium able to grow under low temperatures and to produce high amounts of polyhydroxyalkanoates (PHAs). In this work, we analyzed the genome-wide transcriptome by RNA deep-sequencing technology of early exponential cultures of P. extremaustralis growing in LB (Luria Broth) supplemented with sodium octanoate to favor PHA accumulation at 8°C and 30°C. We found that genes involved in primary metabolism, including tricarboxylic acid cycle (TCA) related genes, as well as cytochromes and amino acid metabolism coding genes, were repressed at low temperature. Among up-regulated genes, those coding for transcriptional regulatory and signal transduction proteins were over-represented at cold conditions. Remarkably, we found that genes involved in ethanol oxidation, exaA, exaB and exaC, encoding a pyrroloquinoline quinone (PQQ)-dependent ethanol dehydrogenase, the cytochrome c550 and an aldehyde dehydrogenase respectively, were up-regulated. Along with RNA-seq experiments, analysis of mutant strains for pqqB (PQQ biosynthesis protein B) and exaA were carried out. We found that the exaA and pqqB genes are essential for growth under low temperature in LB supplemented with sodium octanoate. Additionally, p-rosaniline assay measurements showed the presence of alcohol dehydrogenase activity at both 8°C and 30°C, while the activity was abolished in a pqqB mutant strain. These results together with the detection of ethanol by gas chromatography in P. extremaustralis cultures grown at 8°C support the conclusion that this pathway is important under cold conditions. The obtained results have led to the identification of novel components involved in cold adaptation mechanisms in this bacterium, suggesting for the first time a role of the ethanol oxidation pathway for bacterial growth at low temperatures.

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          A standard curve based method for relative real time PCR data processing

          Background Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may notably influence final results. The data processing is based either on standard curves or on PCR efficiency assessment. At the moment, the PCR efficiency approach is preferred in relative PCR whilst the standard curve is often used for absolute PCR. However, there are no barriers to employ standard curves for relative PCR. This article provides an implementation of the standard curve method and discusses its advantages and limitations in relative real time PCR. Results We designed a procedure for data processing in relative real time PCR. The procedure completely avoids PCR efficiency assessment, minimizes operator involvement and provides a statistical assessment of intra-assay variation. The procedure includes the following steps. (I) Noise is filtered from raw fluorescence readings by smoothing, baseline subtraction and amplitude normalization. (II) The optimal threshold is selected automatically from regression parameters of the standard curve. (III) Crossing points (CPs) are derived directly from coordinates of points where the threshold line crosses fluorescence plots obtained after the noise filtering. (IV) The means and their variances are calculated for CPs in PCR replicas. (V) The final results are derived from the CPs' means. The CPs' variances are traced to results by the law of error propagation. A detailed description and analysis of this data processing is provided. The limitations associated with the use of parametric statistical methods and amplitude normalization are specifically analyzed and found fit to the routine laboratory practice. Different options are discussed for aggregation of data obtained from multiple reference genes. Conclusion A standard curve based procedure for PCR data processing has been compiled and validated. It illustrates that standard curve design remains a reliable and simple alternative to the PCR-efficiency based calculations in relative real time PCR.
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            Identifying global regulators in transcriptional regulatory networks in bacteria.

            The machinery for cells to take decisions, when environmental conditions change, includes protein-DNA interactions defined by transcriptional factors and their targets around promoters. Properties of global regulators are revised attempting to reach diagnostic explicit criteria for their definition and eventual future computational identification. These include among others, the number of regulated genes, the number and type of co-regulators, the different sigma-classes of promoters and the number of transcriptional factors they regulate, the size of the evolutionary family they belong to, and the variety of conditions where they exert their control. As a consequence, global versus local regulation can be identified, as shown for Escherichia coli and eventually in other genomes.
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              Methods for generating precise deletions and insertions in the genome of wild-type Escherichia coli: application to open reading frame characterization.

              We have developed a new system of chromosomal mutagenesis in order to study the functions of uncharacterized open reading frames (ORFs) in wild-type Escherichia coli. Because of the operon structure of this organism, traditional methods such as insertional mutagenesis run the risk of introducing polar effects on downstream genes or creating secondary mutations elsewhere in the genome. Our system uses crossover PCR to create in-frame, tagged deletions in chromosomal DNA. These deletions are placed in the E. coli chromosome by using plasmid pKO3, a gene replacement vector that contains a temperature-sensitive origin of replication and markers for positive and negative selection for chromosomal integration and excision. Using kanamycin resistance (Kn(r)) insertional alleles of the essential genes pepM and rpsB cloned into the replacement vector, we calibrated the system for the expected results when essential genes are deleted. Two poorly understood genes, hdeA and yjbJ, encoding highly abundant proteins were selected as targets for this approach. When the system was used to replace chromosomal hdeA with insertional alleles, we observed vastly different results that were dependent on the exact nature of the insertions. When a Kn(r) gene was inserted into hdeA at two different locations and orientations, both essential and nonessential phenotypes were seen. Using PCR-generated deletions, we were able to make in-frame deletion strains of both hdeA and yjbJ. The two genes proved to be nonessential in both rich and glucose-minimal media. In competition experiments using isogenic strains, the strain with the insertional allele of yjbJ showed growth rates different from those of the strain with the deletion allele of yjbJ. These results illustrate that in-frame, unmarked deletions are among the most reliable types of mutations available for wild-type E. coli. Because these strains are isogenic with the exception of their deleted ORFs, they may be used in competition with one another to reveal phenotypes not apparent when cultured singly.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 December 2015
                2015
                : 10
                : 12
                : e0145353
                Affiliations
                [1 ]Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Guiraldes 2160, C1428EGA Buenos Aires, Argentina
                [2 ]IQUIBICEN, CONICET, Buenos Aires, Argentina
                [3 ]Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-CONICET), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina
                [4 ]Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
                National Renewable Energy Lab, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: PMT NIL. Performed the experiments: PMT ECSV MMR MGL LJRI. Analyzed the data: PMT MMR NIL. Contributed reagents/materials/analysis tools: SM NIL. Wrote the paper: PMT ECSV MMR MGL LJRI SM NIL.

                Article
                PONE-D-15-39489
                10.1371/journal.pone.0145353
                4686015
                26671564
                df9aff4d-3834-4f18-b8c5-e77bbae8a1be
                © 2015 Tribelli et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 7 September 2015
                : 2 December 2015
                Page count
                Figures: 6, Tables: 0, Pages: 19
                Funding
                This work was supported by grants from Universidad de Buenos Aires 2014-2017, Proyecto N° 20020130100451BA, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET, PIP 2011, N° 0338), and Agencia Nacional de Promocion Cientıfica (ANPCyT: PICT 2013, N° 2259), Argentina. PMT, LJRI, and NIL are career investigators from Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET, Argentina). ESV has a graduate student fellowship from CONICET. MMR has a postdoctoral fellowship from CONICET. RNA-seq experiments were performed by PMT at Dr. Molin’s Lab supported by a short term EMBO fellowship.
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