Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set

Detalhes bibliográficos
Autor(a) principal: Milagre, S. T.
Data de Publicação: 2009
Outros Autores: Maciel, C. D., Shinoda, Ailton Akira [UNESP], Hungria, M., Almeida, J. R. B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.cam.2008.03.018
http://hdl.handle.net/11449/9882
Resumo: The taxonomy of the N(2)-fixing bacteria belonging to the genus Bradyrhizobium is still poorly refined, mainly due to conflicting results obtained by the analysis of the phenotypic and genotypic properties. This paper presents an application of a method aiming at the identification of possible new clusters within a Brazilian collection of 119 Bradryrhizobium strains showing phenotypic characteristics of B. japonicum and B. elkanii. The stability was studied as a function of the number of restriction enzymes used in the RFLP-PCR analysis of three ribosomal regions with three restriction enzymes per region. The method proposed here uses Clustering algorithms with distances calculated by average-linkage clustering. Introducing perturbations using sub-sampling techniques makes the stability analysis. The method showed efficacy in the grouping of the species B. japonicum and B. elkanii. Furthermore, two new clusters were clearly defined, indicating possible new species, and sub-clusters within each detected cluster. (C) 2008 Elsevier B.V. All rights reserved.
id UNSP_141a91d692514162c2d868eb1510b3c9
oai_identifier_str oai:repositorio.unesp.br:11449/9882
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data setCluster AnalysisBrodyrhizobium GenusbioinformaticsThe taxonomy of the N(2)-fixing bacteria belonging to the genus Bradyrhizobium is still poorly refined, mainly due to conflicting results obtained by the analysis of the phenotypic and genotypic properties. This paper presents an application of a method aiming at the identification of possible new clusters within a Brazilian collection of 119 Bradryrhizobium strains showing phenotypic characteristics of B. japonicum and B. elkanii. The stability was studied as a function of the number of restriction enzymes used in the RFLP-PCR analysis of three ribosomal regions with three restriction enzymes per region. The method proposed here uses Clustering algorithms with distances calculated by average-linkage clustering. Introducing perturbations using sub-sampling techniques makes the stability analysis. The method showed efficacy in the grouping of the species B. japonicum and B. elkanii. Furthermore, two new clusters were clearly defined, indicating possible new species, and sub-clusters within each detected cluster. (C) 2008 Elsevier B.V. All rights reserved.Univ São Paulo, Dept Elect Engn, BR-13566590 São Carlos, SP, BrazilGoias Fed Univ, Catalao, BrazilState Univ São Paulo, Dept Elect Engn, Ilha Solteira, BrazilSoil Biotechnol Lab, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Soja, Londrina, BrazilState Univ São Paulo, Dept Elect Engn, Ilha Solteira, BrazilElsevier B.V.Universidade de São Paulo (USP)Universidade Federal de Goiás (UFG)Universidade Estadual Paulista (Unesp)Soil Biotechnol LabMilagre, S. T.Maciel, C. D.Shinoda, Ailton Akira [UNESP]Hungria, M.Almeida, J. R. B.2014-05-20T13:29:21Z2014-05-20T13:29:21Z2009-05-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article308-319application/pdfhttp://dx.doi.org/10.1016/j.cam.2008.03.018Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 227, n. 2, p. 308-319, 2009.0377-0427http://hdl.handle.net/11449/988210.1016/j.cam.2008.03.018WOS:000265170000009WOS000265170000009.pdf9387430150792972Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Computational and Applied Mathematics1.6320,938info:eu-repo/semantics/openAccess2023-12-01T06:12:15Zoai:repositorio.unesp.br:11449/9882Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-01T06:12:15Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
title Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
spellingShingle Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
Milagre, S. T.
Cluster Analysis
Brodyrhizobium Genus
bioinformatics
title_short Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
title_full Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
title_fullStr Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
title_full_unstemmed Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
title_sort Multidimensional cluster stability analysis from a Brazilian Bradyrhizobium sp RFLP/PCR data set
author Milagre, S. T.
author_facet Milagre, S. T.
Maciel, C. D.
Shinoda, Ailton Akira [UNESP]
Hungria, M.
Almeida, J. R. B.
author_role author
author2 Maciel, C. D.
Shinoda, Ailton Akira [UNESP]
Hungria, M.
Almeida, J. R. B.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Federal de Goiás (UFG)
Universidade Estadual Paulista (Unesp)
Soil Biotechnol Lab
dc.contributor.author.fl_str_mv Milagre, S. T.
Maciel, C. D.
Shinoda, Ailton Akira [UNESP]
Hungria, M.
Almeida, J. R. B.
dc.subject.por.fl_str_mv Cluster Analysis
Brodyrhizobium Genus
bioinformatics
topic Cluster Analysis
Brodyrhizobium Genus
bioinformatics
description The taxonomy of the N(2)-fixing bacteria belonging to the genus Bradyrhizobium is still poorly refined, mainly due to conflicting results obtained by the analysis of the phenotypic and genotypic properties. This paper presents an application of a method aiming at the identification of possible new clusters within a Brazilian collection of 119 Bradryrhizobium strains showing phenotypic characteristics of B. japonicum and B. elkanii. The stability was studied as a function of the number of restriction enzymes used in the RFLP-PCR analysis of three ribosomal regions with three restriction enzymes per region. The method proposed here uses Clustering algorithms with distances calculated by average-linkage clustering. Introducing perturbations using sub-sampling techniques makes the stability analysis. The method showed efficacy in the grouping of the species B. japonicum and B. elkanii. Furthermore, two new clusters were clearly defined, indicating possible new species, and sub-clusters within each detected cluster. (C) 2008 Elsevier B.V. All rights reserved.
publishDate 2009
dc.date.none.fl_str_mv 2009-05-15
2014-05-20T13:29:21Z
2014-05-20T13:29:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.cam.2008.03.018
Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 227, n. 2, p. 308-319, 2009.
0377-0427
http://hdl.handle.net/11449/9882
10.1016/j.cam.2008.03.018
WOS:000265170000009
WOS000265170000009.pdf
9387430150792972
url http://dx.doi.org/10.1016/j.cam.2008.03.018
http://hdl.handle.net/11449/9882
identifier_str_mv Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 227, n. 2, p. 308-319, 2009.
0377-0427
10.1016/j.cam.2008.03.018
WOS:000265170000009
WOS000265170000009.pdf
9387430150792972
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Computational and Applied Mathematics
1.632
0,938
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 308-319
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803649864189345792