Cargando…
Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods
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 w...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127143/ https://www.ncbi.nlm.nih.gov/pubmed/27560837 http://dx.doi.org/10.1590/1678-4685-GMB-2015-0164 |
_version_ | 1782470219889901568 |
---|---|
author | Benevides, Leandro de Jesus de Carvalho, Daniel Santana Andrade, Roberto Fernandes Silva Bomfim, Gilberto Cafezeiro Fernandes, Flora Maria de Campos |
author_facet | Benevides, Leandro de Jesus de Carvalho, Daniel Santana Andrade, Roberto Fernandes Silva Bomfim, Gilberto Cafezeiro Fernandes, Flora Maria de Campos |
author_sort | Benevides, Leandro de Jesus |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5127143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-51271432016-12-08 Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods Benevides, Leandro de Jesus de Carvalho, Daniel Santana Andrade, Roberto Fernandes Silva Bomfim, Gilberto Cafezeiro Fernandes, Flora Maria de Campos Genet Mol Biol Genomics and Bioinformatics 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 Genética 2016-07-14 2016 /pmc/articles/PMC5127143/ /pubmed/27560837 http://dx.doi.org/10.1590/1678-4685-GMB-2015-0164 Text en Copyright © 2016, Sociedade Brasileira de Genética. http://creativecommons.org/licenses/by/4.0/ License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited. |
spellingShingle | Genomics and Bioinformatics Benevides, Leandro de Jesus de Carvalho, Daniel Santana Andrade, Roberto Fernandes Silva Bomfim, Gilberto Cafezeiro Fernandes, Flora Maria de Campos 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 |
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_short | 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 |
topic | Genomics and Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127143/ https://www.ncbi.nlm.nih.gov/pubmed/27560837 http://dx.doi.org/10.1590/1678-4685-GMB-2015-0164 |
work_keys_str_mv | AT benevidesleandrodejesus evolutionaryanalysisofapolipoproteinebymaximumlikelihoodandcomplexnetworkmethods AT decarvalhodanielsantana evolutionaryanalysisofapolipoproteinebymaximumlikelihoodandcomplexnetworkmethods AT andraderobertofernandessilva evolutionaryanalysisofapolipoproteinebymaximumlikelihoodandcomplexnetworkmethods AT bomfimgilbertocafezeiro evolutionaryanalysisofapolipoproteinebymaximumlikelihoodandcomplexnetworkmethods AT fernandesfloramariadecampos evolutionaryanalysisofapolipoproteinebymaximumlikelihoodandcomplexnetworkmethods |