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

dc.contributor.authorPalmer, Marike
dc.contributor.authorSteenkamp, Emma Theodora
dc.contributor.authorCoetzee, Martin Petrus Albertus
dc.contributor.authorBlom, Jochen
dc.contributor.authorVenter, S.N. (Stephanus Nicolaas)
dc.date.accessioned2018-03-12T07:28:53Z
dc.date.available2018-03-12T07:28:53Z
dc.date.issued2018-02-06
dc.descriptionSupplementary Table S1 | Environmental information processing traits with differences among the lineages.en_ZA
dc.descriptionSupplementary 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.descriptionSupplementary 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.descriptionSupplementary 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.descriptionSupplementary File S4 | The results from the selection analyses and the figures for the gene clusters not indicated in text.en_ZA
dc.descriptionSupplementary 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.descriptionSupplementary 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.abstractBacteriologists 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.departmentForestry and Agricultural Biotechnology Institute (FABI)en_ZA
dc.description.departmentGeneticsen_ZA
dc.description.departmentMicrobiology and Plant Pathologyen_ZA
dc.description.librarianam2018en_ZA
dc.description.sponsorshipThe 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.urihttp://www.frontiersin.org/Microbiologyen_ZA
dc.identifier.citationPalmer 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.issn1664-302X (online)
dc.identifier.other10.3389/fmicb.2018.00113
dc.identifier.urihttp://hdl.handle.net/2263/64193
dc.language.isoenen_ZA
dc.publisherFrontiers Mediaen_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.subjectGenome-inferred biologyen_ZA
dc.subjectEnterobacteriaceaeen_ZA
dc.subjectPhenotypeen_ZA
dc.subjectBacterial systematicsen_ZA
dc.subjectPantoeaen_ZA
dc.subjectKyoto Encyclopedia of Genes and Genomes (KEGG)en_ZA
dc.titleGenome-based characterization of biological processes that differentiate closely related bacteriaen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 5 of 8
Loading...
Thumbnail Image
Name:
Palmer_GenomeBased_2018.pdf
Size:
10.42 MB
Format:
Adobe Portable Document Format
Description:
Article
Loading...
Thumbnail Image
Name:
Palmer_GenomeBasedTabS1_2018.docx
Size:
24.76 KB
Format:
Microsoft Word XML
Description:
Table S1
Loading...
Thumbnail Image
Name:
Palmer_GenomeBasedFileS1_2018.xlsx
Size:
7.17 MB
Format:
Microsoft Excel XML
Description:
File S1
Loading...
Thumbnail Image
Name:
Palmer_GenomeBasedFileS2_2018.xlsx
Size:
11.53 MB
Format:
Microsoft Excel XML
Description:
File S2
Loading...
Thumbnail Image
Name:
Palmer_GenomeBasedFileS3_2018.xlsx
Size:
21.92 KB
Format:
Microsoft Excel XML
Description:
File S3

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: