Taxonomic identity resolution of highly phylogenetically related strains and selection of phylogenetic markers by using genome-scale methods: the Bacillus pumilus group case
| dc.citation.title | PLoS ONE | |
| dc.citation.volume | 11(9) | |
| dc.creator | Espariz, Martín | |
| dc.creator | Zuljan, Federico A. | |
| dc.creator | Esteban, Luis | |
| dc.creator | Magni, Christian | |
| dc.date.accessioned | 2021-03-16T19:49:04Z | |
| dc.date.available | 2021-03-16T19:49:04Z | |
| dc.date.issued | 2016-09-22 | |
| dc.description | Bacillus pumilus group strains have been studied due their agronomic, biotechnological or pharmaceutical potential. Classifying strains of this taxonomic group at species level is a challenging procedure since it is composed of seven species that share among them over 99.5% of 16S rRNA gene identity. In this study, first, a whole-genome in silico approach was used to accurately demarcate B. pumilus group strains, as a case of highly phylogenet ically related taxa, at the species level. In order to achieve that and consequently to validate or correct taxonomic identities of genomes in public databases, an average nucleotide identity correlation, a core-based phylogenomic and a gene function repertory analyses were performed. Eventually, more than 50% such genomes were found to be misclassified. Hierarchical clustering of gene functional repertoires was also used to infer ecotypes among B. pumilus group species. Furthermore, for the first time the machine-learning algorithm Random Forest was used to rank genes in order of their importance for species classification. We found that ybbP, a gene involved in the synthesis of cyclic di-AMP, was the most important gene for accurately predicting species identity among B. pumilus group strains. Finally, principal component analysis was used to classify strains based on the dis tances between their ybbP genes. The methodologies described could be utilized more broadly to identify other highly phylogenetically related species in metagenomic or epidemiological assessments | es |
| dc.description | Para citar este articulo: Espariz M, Zuljan FA, Esteban L, Magni C (2016) Taxonomic Identity Resolution of Highly Phylogenetically Related Strains and Selection of Phylogenetic Markers by Using Genome-Scale Methods: The Bacillus pumilus Group Case. PLoS ONE 11(9): e0163098. doi:10.1371/journal. pone.0163098 | |
| dc.description.fil | Fil: Espariz, Martín. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario (IBR -CONICET); Argentina. | |
| dc.description.fil | Fil: Espariz, Martín. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. | |
| dc.description.fil | Fil: Zuljan, Federico. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario (IBR -CONICET); Argentina. | |
| dc.description.fil | Fil: Zuljan, Federico. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. | |
| dc.description.fil | Fil: Esteban, Luis. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Departamento de Fisiología; Argentina. | |
| dc.description.fil | Fil: Magni, Christian. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario (IBR -CONICET); Argentina. | |
| dc.description.fil | Fil: Magni, Christian. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. | |
| dc.description.sponsorship | Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET): Proyectos de Investigación Plurianuales con Grupos de Investigación PIP 2012/2014 | es |
| dc.description.sponsorship | Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT): PICT-2015-2361 | es |
| dc.format | application/pdf | |
| dc.format.extent | 1-17 | |
| dc.identifier.issn | 1932-6203 | |
| dc.identifier.uri | http://hdl.handle.net/2133/20199 | |
| dc.language.iso | eng | es |
| dc.publisher | Public Library of Science (PLOS) | es |
| dc.relation.publisherversion | https://doi.org/10.1371/journal.pone.0163098 | es |
| dc.relation.publisherversion | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163098 | es |
| dc.rights | openAccess | es |
| dc.rights.holder | Universidad Nacional de Rosario | es |
| dc.rights.holder | Espariz, Martín | es |
| dc.rights.holder | Zuljan, Federico | es |
| dc.rights.holder | Esteban, Luis | es |
| dc.rights.holder | Magni, Christian | es |
| dc.rights.text | Attribution 4.0 International (CC BY 4.0) | es |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Bacillus pumilus | es |
| dc.subject | Classification | es |
| dc.subject | Computational Biology | es |
| dc.subject | Random Forest Algorithm | es |
| dc.subject | Phylogeny | es |
| dc.title | Taxonomic identity resolution of highly phylogenetically related strains and selection of phylogenetic markers by using genome-scale methods: the Bacillus pumilus group case | es |
| dc.type | publishedVersion |