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A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts

Species in the genus Plasmodium cause malaria in humans and infect a variety of mammals and other vertebrates. Currently, estimated ages for several mammalian Plasmodium parasites differ by as much as one order of magnitude, an inaccuracy that frustrates reliable estimation of evolutionary rates of...

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Autores principales: Silva, Joana C., Egan, Amy, Arze, Cesar, Spouge, John L., Harris, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408405/
https://www.ncbi.nlm.nih.gov/pubmed/25589738
http://dx.doi.org/10.1093/molbev/msv005
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author Silva, Joana C.
Egan, Amy
Arze, Cesar
Spouge, John L.
Harris, David G.
author_facet Silva, Joana C.
Egan, Amy
Arze, Cesar
Spouge, John L.
Harris, David G.
author_sort Silva, Joana C.
collection PubMed
description Species in the genus Plasmodium cause malaria in humans and infect a variety of mammals and other vertebrates. Currently, estimated ages for several mammalian Plasmodium parasites differ by as much as one order of magnitude, an inaccuracy that frustrates reliable estimation of evolutionary rates of disease-related traits. We developed a novel statistical approach to dating the relative age of evolutionary lineages, based on Total Least Squares regression. We validated this lineage dating approach by applying it to the genus Drosophila. Using data from the Drosophila 12 Genomes project, our approach accurately reconstructs the age of well-established Drosophila clades, including the speciation event that led to the subgenera Drosophila and Sophophora, and age of the melanogaster species subgroup. We applied this approach to hundreds of loci from seven mammalian Plasmodium species. We demonstrate the existence of a molecular clock specific to individual Plasmodium proteins, and estimate the relative age of mammalian-infecting Plasmodium. These analyses indicate that: 1) the split between the human parasite Plasmodium vivax and P. knowlesi, from Old World monkeys, occurred 6.1 times earlier than that between P. falciparum and P. reichenowi, parasites of humans and chimpanzees, respectively; and 2) mammalian Plasmodium parasites originated 22 times earlier than the split between P. falciparum and P. reichenowi. Calibrating the absolute divergence times for Plasmodium with eukaryotic substitution rates, we show that the split between P. falciparum and P. reichenowi occurred 3.0–5.5 Ma, and that mammalian Plasmodium parasites originated over 64 Ma. Our results indicate that mammalian-infecting Plasmodium evolved contemporaneously with their hosts, with little evidence for parasite host-switching on an evolutionary scale, and provide a solid timeframe within which to place the evolution of new Plasmodium species.
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spelling pubmed-44084052015-06-26 A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts Silva, Joana C. Egan, Amy Arze, Cesar Spouge, John L. Harris, David G. Mol Biol Evol Methods Species in the genus Plasmodium cause malaria in humans and infect a variety of mammals and other vertebrates. Currently, estimated ages for several mammalian Plasmodium parasites differ by as much as one order of magnitude, an inaccuracy that frustrates reliable estimation of evolutionary rates of disease-related traits. We developed a novel statistical approach to dating the relative age of evolutionary lineages, based on Total Least Squares regression. We validated this lineage dating approach by applying it to the genus Drosophila. Using data from the Drosophila 12 Genomes project, our approach accurately reconstructs the age of well-established Drosophila clades, including the speciation event that led to the subgenera Drosophila and Sophophora, and age of the melanogaster species subgroup. We applied this approach to hundreds of loci from seven mammalian Plasmodium species. We demonstrate the existence of a molecular clock specific to individual Plasmodium proteins, and estimate the relative age of mammalian-infecting Plasmodium. These analyses indicate that: 1) the split between the human parasite Plasmodium vivax and P. knowlesi, from Old World monkeys, occurred 6.1 times earlier than that between P. falciparum and P. reichenowi, parasites of humans and chimpanzees, respectively; and 2) mammalian Plasmodium parasites originated 22 times earlier than the split between P. falciparum and P. reichenowi. Calibrating the absolute divergence times for Plasmodium with eukaryotic substitution rates, we show that the split between P. falciparum and P. reichenowi occurred 3.0–5.5 Ma, and that mammalian Plasmodium parasites originated over 64 Ma. Our results indicate that mammalian-infecting Plasmodium evolved contemporaneously with their hosts, with little evidence for parasite host-switching on an evolutionary scale, and provide a solid timeframe within which to place the evolution of new Plasmodium species. Oxford University Press 2015-05 2015-01-13 /pmc/articles/PMC4408405/ /pubmed/25589738 http://dx.doi.org/10.1093/molbev/msv005 Text en © The Author 2015. Published by Oxford University Press on behalf of the society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods
Silva, Joana C.
Egan, Amy
Arze, Cesar
Spouge, John L.
Harris, David G.
A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title_full A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title_fullStr A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title_full_unstemmed A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title_short A New Method for Estimating Species Age Supports the Coexistence of Malaria Parasites and Their Mammalian Hosts
title_sort new method for estimating species age supports the coexistence of malaria parasites and their mammalian hosts
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408405/
https://www.ncbi.nlm.nih.gov/pubmed/25589738
http://dx.doi.org/10.1093/molbev/msv005
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