Data from: Revised time scales of RNA virus evolution based on spatial information

The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yield...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Saxenhofer, Moritz, Weber De Melo, Vanessa, Ulrich, Rainer G., Heckel, Gerald
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Saxenhofer, Moritz
Weber De Melo, Vanessa
Ulrich, Rainer G.
Heckel, Gerald
description The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographic information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus – irrespective whether nucleotide or derived amino acid sequences were analyzed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3,700 and 2,500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.
doi_str_mv 10.5061/dryad.dc770
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_5061_dryad_dc770</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_5061_dryad_dc770</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_5061_dryad_dc7703</originalsourceid><addsrcrecordid>eNqVjr0KwjAUhbM4iDr5AncXa4rUgpv4g5NDcQ_X5gYuJE1J0kLf3rb4Ak7nwPngfEJsc5kV8pQfdBhQZ7ouS7kU1Q0TggnenaGiniNpSOwIYo2WIngD1esCPYcuAvXedol9Ax-cwLHEFhOjBW6MDw6ncS0WBm2kzS9XYve4v6_PvR6vak6k2sAOw6ByqSYjNRup2ej4H_0F2QdFiQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Data from: Revised time scales of RNA virus evolution based on spatial information</title><source>DataCite</source><creator>Saxenhofer, Moritz ; Weber De Melo, Vanessa ; Ulrich, Rainer G. ; Heckel, Gerald</creator><creatorcontrib>Saxenhofer, Moritz ; Weber De Melo, Vanessa ; Ulrich, Rainer G. ; Heckel, Gerald</creatorcontrib><description>The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographic information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus – irrespective whether nucleotide or derived amino acid sequences were analyzed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3,700 and 2,500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.</description><identifier>DOI: 10.5061/dryad.dc770</identifier><language>eng</language><publisher>Dryad</publisher><subject>emergence dating ; Hantavirus ; mutational saturation ; Puumala virus ; Tula virus ; Virus evolution</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5061/dryad.dc770$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Saxenhofer, Moritz</creatorcontrib><creatorcontrib>Weber De Melo, Vanessa</creatorcontrib><creatorcontrib>Ulrich, Rainer G.</creatorcontrib><creatorcontrib>Heckel, Gerald</creatorcontrib><title>Data from: Revised time scales of RNA virus evolution based on spatial information</title><description>The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographic information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus – irrespective whether nucleotide or derived amino acid sequences were analyzed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3,700 and 2,500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.</description><subject>emergence dating</subject><subject>Hantavirus</subject><subject>mutational saturation</subject><subject>Puumala virus</subject><subject>Tula virus</subject><subject>Virus evolution</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2017</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjr0KwjAUhbM4iDr5AncXa4rUgpv4g5NDcQ_X5gYuJE1J0kLf3rb4Ak7nwPngfEJsc5kV8pQfdBhQZ7ouS7kU1Q0TggnenaGiniNpSOwIYo2WIngD1esCPYcuAvXedol9Ax-cwLHEFhOjBW6MDw6ncS0WBm2kzS9XYve4v6_PvR6vak6k2sAOw6ByqSYjNRup2ej4H_0F2QdFiQ</recordid><startdate>20170706</startdate><enddate>20170706</enddate><creator>Saxenhofer, Moritz</creator><creator>Weber De Melo, Vanessa</creator><creator>Ulrich, Rainer G.</creator><creator>Heckel, Gerald</creator><general>Dryad</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20170706</creationdate><title>Data from: Revised time scales of RNA virus evolution based on spatial information</title><author>Saxenhofer, Moritz ; Weber De Melo, Vanessa ; Ulrich, Rainer G. ; Heckel, Gerald</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_5061_dryad_dc7703</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2017</creationdate><topic>emergence dating</topic><topic>Hantavirus</topic><topic>mutational saturation</topic><topic>Puumala virus</topic><topic>Tula virus</topic><topic>Virus evolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Saxenhofer, Moritz</creatorcontrib><creatorcontrib>Weber De Melo, Vanessa</creatorcontrib><creatorcontrib>Ulrich, Rainer G.</creatorcontrib><creatorcontrib>Heckel, Gerald</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Saxenhofer, Moritz</au><au>Weber De Melo, Vanessa</au><au>Ulrich, Rainer G.</au><au>Heckel, Gerald</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Data from: Revised time scales of RNA virus evolution based on spatial information</title><date>2017-07-06</date><risdate>2017</risdate><abstract>The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographic information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus – irrespective whether nucleotide or derived amino acid sequences were analyzed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3,700 and 2,500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.</abstract><pub>Dryad</pub><doi>10.5061/dryad.dc770</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.5061/dryad.dc770
ispartof
issn
language eng
recordid cdi_datacite_primary_10_5061_dryad_dc770
source DataCite
subjects emergence dating
Hantavirus
mutational saturation
Puumala virus
Tula virus
Virus evolution
title Data from: Revised time scales of RNA virus evolution based on spatial information
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T05%3A23%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Saxenhofer,%20Moritz&rft.date=2017-07-06&rft_id=info:doi/10.5061/dryad.dc770&rft_dat=%3Cdatacite_PQ8%3E10_5061_dryad_dc770%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true