Genome-based characterization of biological processes that differentiate closely related bacteria

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dc.contributor.author Palmer, Marike
dc.contributor.author Steenkamp, Emma Theodora
dc.contributor.author Coetzee, Martin Petrus Albertus
dc.contributor.author Blom, Jochen
dc.contributor.author Venter, S.N. (Stephanus Nicolaas)
dc.date.accessioned 2018-03-12T07:28:53Z
dc.date.available 2018-03-12T07:28:53Z
dc.date.issued 2018-02-06
dc.description Supplementary Table S1 | Environmental information processing traits with differences among the lineages. en_ZA
dc.description Supplementary File S1 | Output from GhostKOALA for the Pantoea and Tatumella shared gene sets. This file contains the differences observed for the overview maps and the specific pathways for Pantoea and Tatumella. The overlay figures of the overview and pathway maps are also indicated. en_ZA
dc.description Supplementary File S2 | Output from GhostKOALA for the lineages within Pantoea. This file contains the differences observed for the overview maps as well as the overlay figures of the overview maps for the different lineages. en_ZA
dc.description Supplementary File S3 | The summary of differences in pathways requiring 2 or more genes, as well as a summary of the BLAST confirmations of these genes. en_ZA
dc.description Supplementary File S4 | The results from the selection analyses and the figures for the gene clusters not indicated in text. en_ZA
dc.description Supplementary File S5 | The differences for pathways involved in “Environmental Information Processing”. A summary of the BLAST confirmation is also included as well as the maps for each lineage for the ABC transporters, two-component systems and the PTSs. en_ZA
dc.description Supplementary File S6 | Summary of the Blast2GO analyses as well as the BLAST hits for genes not annotated with Blast2GO. A pie chart indicating the distribution of BLAST hits is also indicated. en_ZA
dc.description.abstract Bacteriologists have strived toward attaining a natural classification system based on evolutionary relationships for nearly 100 years. In the early twentieth century it was accepted that a phylogeny-based system would be the most appropriate, but in the absence of molecular data, this approach proved exceedingly difficult. Subsequent technical advances and the increasing availability of genome sequencing have allowed for the generation of robust phylogenies at all taxonomic levels. In this study, we explored the possibility of linking biological characters to higher-level taxonomic groups in bacteria by making use of whole genome sequence information. For this purpose, we specifically targeted the genus Pantoea and its four main lineages. The shared gene sets were determined for Pantoea, the four lineages within the genus, as well as its sister-genus Tatumella. This was followed by functional characterization of the gene sets using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In comparison to Tatumella, various traits involved in nutrient cycling were identified within Pantoea, providing evidence for increased efficacy in recycling of metabolites within the genus. Additionally, a number of traits associated with pathogenicity were identified within species often associated with opportunistic infections, with some support for adaptation toward overcoming host defenses. Some traits were also only conserved within specific lineages, potentially acquired in an ancestor to the lineage and subsequently maintained. It was also observed that the species isolated from the most diverse sources were generally the most versatile in their carbon metabolism. By investigating evolution, based on the more variable genomic regions, it may be possible to detect biologically relevant differences associated with the course of evolution and speciation. en_ZA
dc.description.department Forestry and Agricultural Biotechnology Institute (FABI) en_ZA
dc.description.department Genetics en_ZA
dc.description.department Microbiology and Plant Pathology en_ZA
dc.description.librarian am2018 en_ZA
dc.description.sponsorship The National Research Foundation for student funding through the Centre of Excellence in Tree Health Biotechnology (CTHB) and the University of Pretoria. en_ZA
dc.description.uri http://www.frontiersin.org/Microbiology en_ZA
dc.identifier.citation Palmer M, Steenkamp ET, Coetzee MPA, Blom J and Venter SN (2018) Genome-Based Characterization of Biological Processes That Differentiate Closely Related Bacteria. Front. Microbiol. 9:113. DOI: 10.3389/fmicb.2018.00113. en_ZA
dc.identifier.issn 1664-302X (online)
dc.identifier.other 10.3389/fmicb.2018.00113
dc.identifier.uri http://hdl.handle.net/2263/64193
dc.language.iso en en_ZA
dc.publisher Frontiers Media en_ZA
dc.rights © 2018 Palmer, Steenkamp, Coetzee, Blom and Venter. This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CC BY). en_ZA
dc.subject Genome-inferred biology en_ZA
dc.subject Enterobacteriaceae en_ZA
dc.subject Phenotype en_ZA
dc.subject Bacterial systematics en_ZA
dc.subject Pantoea en_ZA
dc.subject Kyoto Encyclopedia of Genes and Genomes (KEGG) en_ZA
dc.title Genome-based characterization of biological processes that differentiate closely related bacteria en_ZA
dc.type Article en_ZA


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