Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.

Human Immunodeficiency Virus type 1 (HIV-1) because of high mutation rates, large population sizes, and rapid replication, exhibits complex evolutionary strategies. For the analysis of evolutionary processes, the graphical representation of fitness landscapes provides a significant advantage. The ex...

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Main Authors: Ramón Lorenzo-Redondo, Soledad Delgado, Federico Morán, Cecilio Lopez-Galindez
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0088579&type=printable
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author Ramón Lorenzo-Redondo
Soledad Delgado
Federico Morán
Cecilio Lopez-Galindez
author_facet Ramón Lorenzo-Redondo
Soledad Delgado
Federico Morán
Cecilio Lopez-Galindez
author_sort Ramón Lorenzo-Redondo
collection DOAJ
description Human Immunodeficiency Virus type 1 (HIV-1) because of high mutation rates, large population sizes, and rapid replication, exhibits complex evolutionary strategies. For the analysis of evolutionary processes, the graphical representation of fitness landscapes provides a significant advantage. The experimental determination of viral fitness remains, in general, difficult and consequently most published fitness landscapes have been artificial, theoretical or estimated. Self-Organizing Maps (SOM) are a class of Artificial Neural Network (ANN) for the generation of topological ordered maps. Here, three-dimensional (3D) data driven fitness landscapes, derived from a collection of sequences from HIV-1 viruses after "in vitro" passages and labelled with the corresponding experimental fitness values, were created by SOM. These maps were used for the visualization and study of the evolutionary process of HIV-1 "in vitro" fitness recovery, by directly relating fitness values with viral sequences. In addition to the representation of the sequence space search carried out by the viruses, these landscapes could also be applied for the analysis of related variants like members of viral quasiespecies. SOM maps permit the visualization of the complex evolutionary pathways in HIV-1 fitness recovery. SOM fitness landscapes have an enormous potential for the study of evolution in related viruses of "in vitro" works or from "in vivo" clinical studies with human, animal or plant viral infections.
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spelling doaj-art-6a2ed8afb4a841e8b4de71a78d165cf02025-08-20T03:01:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8857910.1371/journal.pone.0088579Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.Ramón Lorenzo-RedondoSoledad DelgadoFederico MoránCecilio Lopez-GalindezHuman Immunodeficiency Virus type 1 (HIV-1) because of high mutation rates, large population sizes, and rapid replication, exhibits complex evolutionary strategies. For the analysis of evolutionary processes, the graphical representation of fitness landscapes provides a significant advantage. The experimental determination of viral fitness remains, in general, difficult and consequently most published fitness landscapes have been artificial, theoretical or estimated. Self-Organizing Maps (SOM) are a class of Artificial Neural Network (ANN) for the generation of topological ordered maps. Here, three-dimensional (3D) data driven fitness landscapes, derived from a collection of sequences from HIV-1 viruses after "in vitro" passages and labelled with the corresponding experimental fitness values, were created by SOM. These maps were used for the visualization and study of the evolutionary process of HIV-1 "in vitro" fitness recovery, by directly relating fitness values with viral sequences. In addition to the representation of the sequence space search carried out by the viruses, these landscapes could also be applied for the analysis of related variants like members of viral quasiespecies. SOM maps permit the visualization of the complex evolutionary pathways in HIV-1 fitness recovery. SOM fitness landscapes have an enormous potential for the study of evolution in related viruses of "in vitro" works or from "in vivo" clinical studies with human, animal or plant viral infections.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0088579&type=printable
spellingShingle Ramón Lorenzo-Redondo
Soledad Delgado
Federico Morán
Cecilio Lopez-Galindez
Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
PLoS ONE
title Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
title_full Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
title_fullStr Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
title_full_unstemmed Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
title_short Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
title_sort realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental hiv 1 evolution
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0088579&type=printable
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