alexa Identification of Four Polyhydroxyalkanoate Structural
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Identification of Four Polyhydroxyalkanoate Structural Genes in Synechocystis cf. salina PCC6909: In silico Evidences

Lucia Silvestrini, Bernhard Drosg and Ines Fritz*

Department of Agrobiotechnology, Institute for Environmental Biotechnology, University of Natural Resources and Life Sciences (BOKU, Vienna), Tulln/Donau, Austria

*Corresponding Author:
Ines Fritz
Department of Agrobiotechnology
Institute for Environmental Biotechnology
University of Natural Resources and Life Sciences
Konrad Lorenz Strasse 20, A-3430, Tulln/Donau, Austria
Tel: (+43) 2272/66280-559
E-mail: ines.fritz@boku.ac.at

Received Date: December 22, 2015; Accepted Date: February 05, 2016; Published Date: February 08, 2016

Citation: Silvestrini L, Drosg B, Fritz I (2016) Identification of Four Polyhydroxyalkanoate Structural Genes in Synechocystis cf. salina PCC6909: In silico Evidences. J Proteomics Bioinform 9:028-037. doi:10.4172/jpb.1000386

Copyright: © 2016 Silvestrini L, 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.

 

Abstract

Polyhydroxyalkanoates (PHAs) are a class of bio-polymers naturally synthesized by cyanobacteria with the advantage of being alternative to petrochemical based plastic. Their versatile application in medical, agricultural and technical fields increased the market request, especially due to their environmental-friendly features. Cyanobacteria possess a high PHAs production potential not yet well known at the genetic and enzymatic level. In this work we identified, isolated and sequenced the genes responsible for PHA production (phaA, phaB, phaE and phaC) in Synechocystis cf. salina PCC6909 (syn: Gloeothece membranacea), of which genome data are not yet available. Performing an in silico analysis, we illustrate here the Pha proteins (PhaA, PhaB, PhaE and PhaC) phylogeny and the prediction of their structure, i.e., secondary folding, topology, 3D model and clefts localization. Our results are discussed in the context of future applications of Synechocystis cf. salina PCC6909 Pha genes for heterologous PHA production and strain improvement.

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