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      Re-evaluation of dioxygenase gene phylogeny for the development and validation of a quantitative assay for environmental aromatic hydrocarbon degraders

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          Abstract

          Rieske non-heme iron oxygenases enzymes have been widely studied, as they catalyse essential reactions initiating the bacterial degradation of organic compounds, for instance aromatic hydrocarbons. The genes encoding these enzymes offer a potential target for studying aromatic hydrocarbon-degrading organisms in the environment. However, previously reported primer sets that target dioxygenase gene sequences or the common conserved Rieske centre of aromatics dioxygenases have limited specificity and/or target non-dioxygenase genes. In this work, an extensive database of dioxygenase α-subunit gene sequences was constructed, and primer sets targeting the conserved Rieske centre were developed. The high specificity of the primers was confirmed by polymerase chain reaction analysis, agarose gel electrophoresis and sequencing. Quantitative polymerase chain reaction (qPCR) assays were also developed and optimized, following MIQE guidelines (Minimum Information for Publication of Quantitative Real-Time PCR Experiments). Comparison of the qPCR quantification of dioxygenases in spiked sediment samples and in pure cultures demonstrated an underestimation of the Ct value, and the requirement for a correction factor at gene abundances below 10 8 gene copies per g of sediment. Externally validated qPCR provides a valuable tool to monitor aromatic hydrocarbon degrader population abundances at contaminated sites.

          Abstract

          Our study aimed to re-evaluate the phylogeny of Rieske non-heme iron dioxygenases using only retrieved primary nucleic acid sequences for the development of quantitative real-time PCR primers.

          Abstract

          Graphical Abstract Figure.

          Our study aimed to re-evaluate the phylogeny of Rieske non-heme iron dioxygenases using only retrieved primary nucleic acid sequences for the development of quantitative real-time PCR primers.

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          The complete genome of Rhodococcus sp. RHA1 provides insights into a catabolic powerhouse.

          Rhodococcus sp. RHA1 (RHA1) is a potent polychlorinated biphenyl-degrading soil actinomycete that catabolizes a wide range of compounds and represents a genus of considerable industrial interest. RHA1 has one of the largest bacterial genomes sequenced to date, comprising 9,702,737 bp (67% G+C) arranged in a linear chromosome and three linear plasmids. A targeted insertion methodology was developed to determine the telomeric sequences. RHA1's 9,145 predicted protein-encoding genes are exceptionally rich in oxygenases (203) and ligases (192). Many of the oxygenases occur in the numerous pathways predicted to degrade aromatic compounds (30) or steroids (4). RHA1 also contains 24 nonribosomal peptide synthase genes, six of which exceed 25 kbp, and seven polyketide synthase genes, providing evidence that rhodococci harbor an extensive secondary metabolism. Among sequenced genomes, RHA1 is most similar to those of nocardial and mycobacterial strains. The genome contains few recent gene duplications. Moreover, three different analyses indicate that RHA1 has acquired fewer genes by recent horizontal transfer than most bacteria characterized to date and far fewer than Burkholderia xenovorans LB400, whose genome size and catabolic versatility rival those of RHA1. RHA1 and LB400 thus appear to demonstrate that ecologically similar bacteria can evolve large genomes by different means. Overall, RHA1 appears to have evolved to simultaneously catabolize a diverse range of plant-derived compounds in an O(2)-rich environment. In addition to establishing RHA1 as an important model for studying actinomycete physiology, this study provides critical insights that facilitate the exploitation of these industrially important microorganisms.
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            Aromatic hydrocarbon dioxygenases in environmental biotechnology.

            Aromatic hydrocarbon dioxygenases belong to a large family of Rieske non-heme iron oxygenases. The dioxygenases have a broad substrate specificity and catalyze enantiospecific reactions with a wide range of substrates. These characteristics make them attractive synthons for the production of industrially and medically important chiral chemicals and also provide essential information for the development of bioremediation technology.
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              Real-Time PCR quantification of PAH-ring hydroxylating dioxygenase (PAH-RHDalpha) genes from Gram positive and Gram negative bacteria in soil and sediment samples.

              Real-Time PCR based assays were developed to quantify Gram positive (GP) and Gram negative (GN) bacterial populations that are capable of degrading the polycyclic aromatic hydrocarbons (PAH) in soil and sediment samples with contrasting contamination levels. These specific and sensitive Real-Time PCR assays were based on the quantification of the copy number of the gene that encodes the alpha subunit of the PAH-ring hydroxylating dioxygenases (PAH-RHDalpha), involved in the initial step of the aerobic metabolism of PAH. The PAH-RHDalpha-GP primer set was designed against the different allele types present in the data base (narAa, phdA/pdoA2, nidA/pdoA1, nidA3/fadA1) common to the Gram positive PAH degraders such as Rhodococcus, Mycobacterium, Nocardioides and Terrabacter strains. The PAH-RHDalpha-GN primer set was designed against the genes (nahAc, nahA3, nagAc, ndoB, ndoC2, pahAc, pahA3, phnAc, phnA1, bphAc, bphA1, dntAc and arhA1) common to the Gram negative PAH degraders such as Pseudomonas, Ralstonia, Commamonas, Burkholderia, Sphingomonas, Alcaligenes, Polaromonas strains. The PCR clones for DNA extracted from soil and sediment samples using the designed primers showed 100% relatedness to the PAH-RHDalpha genes targeted. Deduced from highly sensitive Real-Time PCR quantification, the ratio of PAH-RHDalpha gene relative to the 16S rRNA gene copy number showed that the PAH-bacterial degraders could represent up to 1% of the total bacterial community in the PAH-contaminated sites. This ratio highlighted a positive correlation between the PAH-bacterial biodegradation potential and the PAH-contamination level in the environmental samples studied.
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                Author and article information

                Journal
                FEMS Microbiol Ecol
                FEMS Microbiol. Ecol
                femsec
                femsec
                FEMS Microbiology Ecology
                Oxford University Press
                0168-6496
                1574-6941
                05 May 2015
                June 2015
                05 May 2015
                : 91
                : 6
                : fiv049
                Affiliations
                School of Civil Engineering and Geosciences, Newcastle University, NE1 7RU, England, UK
                Author notes
                [* ] Corresponding author: Environmental Engineering Group, School of Civil Engineering and Geosciences, Cassie Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Tel: +44 (0)191-208-8479; Fax: +44 (0)191-208-6502; E-mail: paola.meynet@ 123456ncl.ac.uk
                Article
                10.1093/femsec/fiv049
                4462182
                25944871
                2ad3506a-2602-4d94-9035-42a3e597fe76
                © FEMS 2015.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 April 2015
                : 04 July 2014
                Page count
                Pages: 11
                Categories
                Research Article
                Custom metadata
                June 2015

                Microbiology & Virology
                dioxygenases,rieske centre,quantitative pcr,phylogeny
                Microbiology & Virology
                dioxygenases, rieske centre, quantitative pcr, phylogeny

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