Comparative Genomics Underlines the Functional and Taxonomic Diversity of Novel “Ferrovum” Related Iron Oxidizing Bacteria

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Although acidophilic iron oxidizing bacteria related to “Ferrovum myxofaciens” P3G have been detected in various mining sites the knowledge about their physiology is limited to the type strain “F. myxofaciens” P3G. In order to further the knowledge on the metabolic capacity of “Ferrovum” related iron oxidizers we conducted a comparative genome analysis of three “Ferrovum” strains: JA12, PN-J185 and Z-31 (Z-31). The results of the phylogenetic analysis and the genome-to-genome distance calculation indicate that Z-31 belongs to a different “Ferrovum” species than JA12 and PN-J185. Comparative genome analyses revealed variations regarding the carbon, nitrogen and energy metabolism of the three strains which also corroborate the results concerning their phylogenetic relationship.

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15-18

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November 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] D.B. Johnson, K.B. Hallberg and S. Hedrich: Appl. Environ. Microbiol. (2014) Vol. 80, p.672.

Google Scholar

[2] E. Heinzel, S. Hedrich, K.E. Janneck, F. Glombitza, J. Seifert and M. Schlömann: Appl. Environ. Microbiol. (2009) Vol. 75, p.858.

DOI: 10.1128/aem.01045-08

Google Scholar

[3] D.S. Jones, C. Kohl, C. Grettenberger, L.N. Larson, W.D. Burgos and J.L. Macalady: Appl. Environ. Microbiol. (2014) epub. ahead of print, 10. 1128/AEM. 02919-14.

Google Scholar

[4] S. Kimura, C.G. Bryan, K.B. Hallberg and D.B. Johnson: Environ. Microbiol. (2011) Vol. 13, p. (2092).

Google Scholar

[5] J.S. Tischler, R.J. Jwair, N. Gelhaar, A. Drechsel, A. Skirl, C. Wiacek, E. Janneck and M. Schlömann: J. Microbiol. Methods (2013) Vol. 95, p.138.

DOI: 10.1016/j.mimet.2013.07.027

Google Scholar

[6] S. Mosler, A. Poehlein, S. Voget, R. Daniel, J. Kipry, M. Schlömann and M. Mühling: AMR (2013) Vol. 825, p.153.

DOI: 10.4028/www.scientific.net/amr.825.153

Google Scholar

[7] S.R. Ullrich, A. Poehlein, S. Voget, M. Hoppert, R. Daniel, A. Leimbach, J.S. Tischler, M. Schlömann and M. Mühling: submitted to SIGS (2014).

DOI: 10.1186/s40793-015-0040-y

Google Scholar

[8] E. Pruesse, J. Peplies and F.O. Glöckner: Bioinformatics (2012) Vol. 28, p.1823.

Google Scholar

[9] K. Tamura, G. Stecher, D. Peterson, A. Filipski and S. Kumar: Mol. Biol. Evol. (2013) Vol. 30, p.2725.

Google Scholar

[10] J.P. Meier-Kolthoff, H. -P. Klenk and M. Göker: Int. J. Syst. Evol. Microbiol. (2014) Vol. 64, p.352.

Google Scholar

[11] A. Moya-Beltrán, J.P. Cárdenas, P.C. Covarrubias, F. Issotta, F.J. Ossandon, B.M. Grail, D.S. Holmes, R. Quatrini and D.B. Johnson: Genome Announc. (2014) Vol. 2, e00834-14.

DOI: 10.1128/genomea.00834-14

Google Scholar

[12] M. Kim, H. Oh, S. Park and J. Chun: Int. J. Syst. Evol. Microbiol. (2014) Vol. 64, p.346.

Google Scholar

[13] J. Valdés, I. Pedroso, R. Quatrini, R.J. Dodson, H. Tettelin, R. Blake, J.A. Eisen and D.S. Holmes: BMC Genomics (2008) Vol. 9, p.597.

DOI: 10.1186/1471-2164-9-597

Google Scholar