Spontaneous mutation rate estimates for the principal malaria vectors Anopheles coluzzii and Anopheles stephensi
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Iliyas Rashid
- Melina Campos
- Travis Collier
- Marc Crepeau
- Allison Weakley
- Hans Gripkey
- Yoosook Lee
- Hanno Schmidt
- Gregory C Lanzaro
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000740510500111&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1038/s41598-021-03943-z
- Externe Identifier
- Clarivate Analytics Document Solution ID: YD5VU
- PubMed Identifier: 34996998
- ISSN
- 2045-2322
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- SCIENTIFIC REPORTS
- Artikelnummer
- ARTN 226
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Spontaneous mutation rate estimates for the principal malaria vectors <i>Anopheles coluzzii</i> and <i>Anopheles stephensi</i>
- Sub types
- Article
- Ausgabe der Zeitschrift
- 12
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>Using high-depth whole genome sequencing of F0 mating pairs and multiple individual F1 offspring, we estimated the nuclear mutation rate per generation in the malaria vectors <jats:italic>Anopheles coluzzii</jats:italic> and <jats:italic>Anopheles stephensi</jats:italic> by detecting de novo genetic mutations. A purpose-built computer program was employed to filter actual mutations from a deep background of superficially similar artifacts resulting from read misalignment. Performance of filtering parameters was determined using software-simulated mutations, and the resulting estimate of false negative rate was used to correct final mutation rate estimates. Spontaneous mutation rates by base substitution were estimated at 1.00 × 10<jats:sup>−9</jats:sup> (95% confidence interval, 2.06 × 10<jats:sup>−10</jats:sup>—2.91 × 10<jats:sup>−9</jats:sup>) and 1.36 × 10<jats:sup>−9</jats:sup> (95% confidence interval, 4.42 × 10<jats:sup>−10</jats:sup>—3.18 × 10<jats:sup>−9</jats:sup>) per site per generation in <jats:italic>A. coluzzii</jats:italic> and <jats:italic>A. stephensi</jats:italic> respectively. Although similar studies have been performed on other insect species including dipterans, this is the first study to empirically measure mutation rates in the important genus <jats:italic>Anopheles</jats:italic>, and thus provides an estimate of µ that will be of utility for comparative evolutionary genomics, as well as for population genetic analysis of malaria vector mosquito species.</jats:p>
- Autoren
- Iliyas Rashid
- Melina Campos
- Travis Collier
- Marc Crepeau
- Allison Weakley
- Hans Gripkey
- Yoosook Lee
- Hanno Schmidt
- Gregory C Lanzaro
- DOI
- 10.1038/s41598-021-03943-z
- eISSN
- 2045-2322
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Scientific Reports
- Sprache
- en
- Artikelnummer
- 226
- Online publication date
- 2022
- Status
- Published online
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1038/s41598-021-03943-z
- Datum der Datenerfassung
- 2022
- Titel
- Spontaneous mutation rate estimates for the principal malaria vectors Anopheles coluzzii and Anopheles stephensi
- Ausgabe der Zeitschrift
- 12
Datenquelle: Crossref
- Abstract
- Using high-depth whole genome sequencing of F0 mating pairs and multiple individual F1 offspring, we estimated the nuclear mutation rate per generation in the malaria vectors Anopheles coluzzii and Anopheles stephensi by detecting de novo genetic mutations. A purpose-built computer program was employed to filter actual mutations from a deep background of superficially similar artifacts resulting from read misalignment. Performance of filtering parameters was determined using software-simulated mutations, and the resulting estimate of false negative rate was used to correct final mutation rate estimates. Spontaneous mutation rates by base substitution were estimated at 1.00 × 10<sup>-9</sup> (95% confidence interval, 2.06 × 10<sup>-10</sup>-2.91 × 10<sup>-9</sup>) and 1.36 × 10<sup>-9</sup> (95% confidence interval, 4.42 × 10<sup>-10</sup>-3.18 × 10<sup>-9</sup>) per site per generation in A. coluzzii and A. stephensi respectively. Although similar studies have been performed on other insect species including dipterans, this is the first study to empirically measure mutation rates in the important genus Anopheles, and thus provides an estimate of µ that will be of utility for comparative evolutionary genomics, as well as for population genetic analysis of malaria vector mosquito species.
- Addresses
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, UC Davis, 1089 Veterinary Medicine Dr, 4225 VM3B, Davis, CA, 95616, USA.
- Autoren
- Iliyas Rashid
- Melina Campos
- Travis Collier
- Marc Crepeau
- Allison Weakley
- Hans Gripkey
- Yoosook Lee
- Hanno Schmidt
- Gregory C Lanzaro
- DOI
- 10.1038/s41598-021-03943-z
- eISSN
- 2045-2322
- Externe Identifier
- PubMed Identifier: 34996998
- PubMed Central ID: PMC8742016
- Funding acknowledgements
- Open Philanthropy Project: A20-3521
- Tata Institute for Genetics and Society:
- University of California Irvine Malaria Initiative:
- Open access
- true
- ISSN
- 2045-2322
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Scientific reports
- Schlüsselwörter
- Animals
- Humans
- Anopheles
- Malaria
- Insect Proteins
- Female
- Male
- Mutation Rate
- Mosquito Vectors
- Whole Genome Sequencing
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2022
- Open access status
- Open Access
- Paginierung
- 226
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2022
- Titel
- Spontaneous mutation rate estimates for the principal malaria vectors Anopheles coluzzii and Anopheles stephensi.
- Sub types
- Research Support, Non-U.S. Gov't
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 12
Files
https://www.nature.com/articles/s41598-021-03943-z.pdf https://europepmc.org/articles/PMC8742016?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- Using high-depth whole genome sequencing of F0 mating pairs and multiple individual F1 offspring, we estimated the nuclear mutation rate per generation in the malaria vectors Anopheles coluzzii and Anopheles stephensi by detecting de novo genetic mutations. A purpose-built computer program was employed to filter actual mutations from a deep background of superficially similar artifacts resulting from read misalignment. Performance of filtering parameters was determined using software-simulated mutations, and the resulting estimate of false negative rate was used to correct final mutation rate estimates. Spontaneous mutation rates by base substitution were estimated at 1.00 × 10-9 (95% confidence interval, 2.06 × 10-10-2.91 × 10-9) and 1.36 × 10-9 (95% confidence interval, 4.42 × 10-10-3.18 × 10-9) per site per generation in A. coluzzii and A. stephensi respectively. Although similar studies have been performed on other insect species including dipterans, this is the first study to empirically measure mutation rates in the important genus Anopheles, and thus provides an estimate of µ that will be of utility for comparative evolutionary genomics, as well as for population genetic analysis of malaria vector mosquito species.
- Date of acceptance
- 2021
- Autoren
- Iliyas Rashid
- Melina Campos
- Travis Collier
- Marc Crepeau
- Allison Weakley
- Hans Gripkey
- Yoosook Lee
- Hanno Schmidt
- Gregory C Lanzaro
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/34996998
- DOI
- 10.1038/s41598-021-03943-z
- eISSN
- 2045-2322
- Externe Identifier
- PubMed Central ID: PMC8742016
- Funding acknowledgements
- Open Philanthropy Project: A20-3521
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Sci Rep
- Schlüsselwörter
- Animals
- Anopheles
- Female
- Humans
- Insect Proteins
- Malaria
- Male
- Mosquito Vectors
- Mutation Rate
- Whole Genome Sequencing
- Sprache
- eng
- Country
- England
- Paginierung
- 226
- PII
- 10.1038/s41598-021-03943-z
- Datum der Veröffentlichung
- 2022
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Titel
- Spontaneous mutation rate estimates for the principal malaria vectors Anopheles coluzzii and Anopheles stephensi.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 12
Datenquelle: PubMed
- Beziehungen:
- Eigentum von