Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods

Detalhes bibliográficos
Autor(a) principal: Benevides,Leandro de Jesus
Data de Publicação: 2016
Outros Autores: Carvalho,Daniel Santana de, Andrade,Roberto Fernandes Silva, Bomfim,Gilberto Cafezeiro, Fernandes,Flora Maria de Campos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572016000400665
Resumo: Abstract Apolipoprotein E (apo E) is a human glycoprotein with 299 amino acids, and it is a major component of very low density lipoproteins (VLDL) and a group of high-density lipoproteins (HDL). Phylogenetic studies are important to clarify how various apo E proteins are related in groups of organisms and whether they evolved from a common ancestor. Here, we aimed at performing a phylogenetic study on apo E carrying organisms. We employed a classical and robust method, such as Maximum Likelihood (ML), and compared the results using a more recent approach based on complex networks. Thirty-two apo E amino acid sequences were downloaded from NCBI. A clear separation could be observed among three major groups: mammals, fish and amphibians. The results obtained from ML method, as well as from the constructed networks showed two different groups: one with mammals only (C1) and another with fish (C2), and a single node with the single sequence available for an amphibian. The accordance in results from the different methods shows that the complex networks approach is effective in phylogenetic studies. Furthermore, our results revealed the conservation of apo E among animal groups.
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spelling Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methodsApolipoprotein Ephylogenycomplex networkMaximum LikelihoodAbstract Apolipoprotein E (apo E) is a human glycoprotein with 299 amino acids, and it is a major component of very low density lipoproteins (VLDL) and a group of high-density lipoproteins (HDL). Phylogenetic studies are important to clarify how various apo E proteins are related in groups of organisms and whether they evolved from a common ancestor. Here, we aimed at performing a phylogenetic study on apo E carrying organisms. We employed a classical and robust method, such as Maximum Likelihood (ML), and compared the results using a more recent approach based on complex networks. Thirty-two apo E amino acid sequences were downloaded from NCBI. A clear separation could be observed among three major groups: mammals, fish and amphibians. The results obtained from ML method, as well as from the constructed networks showed two different groups: one with mammals only (C1) and another with fish (C2), and a single node with the single sequence available for an amphibian. The accordance in results from the different methods shows that the complex networks approach is effective in phylogenetic studies. Furthermore, our results revealed the conservation of apo E among animal groups.Sociedade Brasileira de Genética2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572016000400665Genetics and Molecular Biology v.39 n.4 2016reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2015-0164info:eu-repo/semantics/openAccessBenevides,Leandro de JesusCarvalho,Daniel Santana deAndrade,Roberto Fernandes SilvaBomfim,Gilberto CafezeiroFernandes,Flora Maria de Camposeng2016-11-25T00:00:00Zoai:scielo:S1415-47572016000400665Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2016-11-25T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
title Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
spellingShingle Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
Benevides,Leandro de Jesus
Apolipoprotein E
phylogeny
complex network
Maximum Likelihood
title_short Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
title_full Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
title_fullStr Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
title_full_unstemmed Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
title_sort Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
author Benevides,Leandro de Jesus
author_facet Benevides,Leandro de Jesus
Carvalho,Daniel Santana de
Andrade,Roberto Fernandes Silva
Bomfim,Gilberto Cafezeiro
Fernandes,Flora Maria de Campos
author_role author
author2 Carvalho,Daniel Santana de
Andrade,Roberto Fernandes Silva
Bomfim,Gilberto Cafezeiro
Fernandes,Flora Maria de Campos
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Benevides,Leandro de Jesus
Carvalho,Daniel Santana de
Andrade,Roberto Fernandes Silva
Bomfim,Gilberto Cafezeiro
Fernandes,Flora Maria de Campos
dc.subject.por.fl_str_mv Apolipoprotein E
phylogeny
complex network
Maximum Likelihood
topic Apolipoprotein E
phylogeny
complex network
Maximum Likelihood
description Abstract Apolipoprotein E (apo E) is a human glycoprotein with 299 amino acids, and it is a major component of very low density lipoproteins (VLDL) and a group of high-density lipoproteins (HDL). Phylogenetic studies are important to clarify how various apo E proteins are related in groups of organisms and whether they evolved from a common ancestor. Here, we aimed at performing a phylogenetic study on apo E carrying organisms. We employed a classical and robust method, such as Maximum Likelihood (ML), and compared the results using a more recent approach based on complex networks. Thirty-two apo E amino acid sequences were downloaded from NCBI. A clear separation could be observed among three major groups: mammals, fish and amphibians. The results obtained from ML method, as well as from the constructed networks showed two different groups: one with mammals only (C1) and another with fish (C2), and a single node with the single sequence available for an amphibian. The accordance in results from the different methods shows that the complex networks approach is effective in phylogenetic studies. Furthermore, our results revealed the conservation of apo E among animal groups.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572016000400665
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572016000400665
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4685-gmb-2015-0164
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.39 n.4 2016
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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