Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.

Phylogenetic networks construction is one the most important challenge in phylogenetics. These networks can present complex non-treelike events such as gene flow, horizontal gene transfers, recombination or hybridizations. Among phylogenetic networks, rooted structures are commonly used to represent...

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Main Authors: Hadi Poormohammadi, Mohsen Sardari Zarchi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0227842
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spelling doaj-631ea77413644c36aeca32f13bcb84292021-03-03T22:03:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159e022784210.1371/journal.pone.0227842Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.Hadi PoormohammadiMohsen Sardari ZarchiPhylogenetic networks construction is one the most important challenge in phylogenetics. These networks can present complex non-treelike events such as gene flow, horizontal gene transfers, recombination or hybridizations. Among phylogenetic networks, rooted structures are commonly used to represent the evolutionary history of a species set, explicitly. Triplets are well known input for constructing the rooted networks. Obtaining an optimal rooted network that contains all given triplets is main problem in network construction. The optimality criteria include minimizing the level or the number of reticulation nodes. The complexity of this problem is known to be NP-hard. In this research, a new algorithm called Netcombin is introduced to construct approximately an optimal network which is consistent with input triplets. The innovation of this algorithm is based on binarization and expanding processes. The binarization process innovatively uses a measure to construct a binary rooted tree T consistent with the approximately maximum number of input triplets. Then T is expanded using a heuristic function by adding minimum number of edges to obtain final network with the approximately minimum number of reticulation nodes. In order to evaluate the proposed algorithm, Netcombin is compared with four state of the art algorithms, RPNCH, NCHB, TripNet, and SIMPLISTIC. The experimental results on simulated data obtained from biologically generated sequences data indicate that by considering the trade-off between speed and precision, the Netcombin outperforms the others.https://doi.org/10.1371/journal.pone.0227842
collection DOAJ
language English
format Article
sources DOAJ
author Hadi Poormohammadi
Mohsen Sardari Zarchi
spellingShingle Hadi Poormohammadi
Mohsen Sardari Zarchi
Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
PLoS ONE
author_facet Hadi Poormohammadi
Mohsen Sardari Zarchi
author_sort Hadi Poormohammadi
title Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
title_short Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
title_full Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
title_fullStr Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
title_full_unstemmed Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets.
title_sort netcombin: an algorithm for constructing optimal phylogenetic network from rooted triplets.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description Phylogenetic networks construction is one the most important challenge in phylogenetics. These networks can present complex non-treelike events such as gene flow, horizontal gene transfers, recombination or hybridizations. Among phylogenetic networks, rooted structures are commonly used to represent the evolutionary history of a species set, explicitly. Triplets are well known input for constructing the rooted networks. Obtaining an optimal rooted network that contains all given triplets is main problem in network construction. The optimality criteria include minimizing the level or the number of reticulation nodes. The complexity of this problem is known to be NP-hard. In this research, a new algorithm called Netcombin is introduced to construct approximately an optimal network which is consistent with input triplets. The innovation of this algorithm is based on binarization and expanding processes. The binarization process innovatively uses a measure to construct a binary rooted tree T consistent with the approximately maximum number of input triplets. Then T is expanded using a heuristic function by adding minimum number of edges to obtain final network with the approximately minimum number of reticulation nodes. In order to evaluate the proposed algorithm, Netcombin is compared with four state of the art algorithms, RPNCH, NCHB, TripNet, and SIMPLISTIC. The experimental results on simulated data obtained from biologically generated sequences data indicate that by considering the trade-off between speed and precision, the Netcombin outperforms the others.
url https://doi.org/10.1371/journal.pone.0227842
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