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Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales
Incomplete selection makes it challenging to infer selection on genes at short time scales, especially for microorganisms, due to stronger linkage between loci. However, in many cases, the selective force changes with environment, time, or other factors, and it is of great interest to understand sel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789396/ https://www.ncbi.nlm.nih.gov/pubmed/36601300 http://dx.doi.org/10.1093/ve/veac108 |
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author | Li, Nien-Kung Corander, Jukka Grad, Yonatan H Chang, Hsiao-Han |
author_facet | Li, Nien-Kung Corander, Jukka Grad, Yonatan H Chang, Hsiao-Han |
author_sort | Li, Nien-Kung |
collection | PubMed |
description | Incomplete selection makes it challenging to infer selection on genes at short time scales, especially for microorganisms, due to stronger linkage between loci. However, in many cases, the selective force changes with environment, time, or other factors, and it is of great interest to understand selective forces at this level to answer relevant biological questions. We developed a new method that uses the change in d(N)/d(S), instead of the absolute value of d(N)/d(S), to infer the dominating selective force based on sequence data across geographical scales. If a gene was under positive selection, d(N)/d(S) was expected to increase through time, whereas if a gene was under negative selection, d(N)/d(S) was expected to decrease through time. Assuming that the migration rate decreased and the divergence time between samples increased from between-continent, within-continent different-country, to within-country level, d(N)/d(S) of a gene dominated by positive selection was expected to increase with increasing geographical scales, and the opposite trend was expected in the case of negative selection. Motivated by the McDonald–Kreitman (MK) test, we developed a pairwise MK test to assess the statistical significance of detected trends in d(N)/d(S). Application of the method to a global sample of dengue virus genomes identified multiple significant signatures of selection in both the structural and non-structural proteins. Because this method does not require allele frequency estimates and uses synonymous mutations for comparison, it is less prone to sampling error, providing a way to infer selection forces within species using publicly available genomic data from locations over broad geographical scales. |
format | Online Article Text |
id | pubmed-9789396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97893962023-01-03 Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales Li, Nien-Kung Corander, Jukka Grad, Yonatan H Chang, Hsiao-Han Virus Evol Research Article Incomplete selection makes it challenging to infer selection on genes at short time scales, especially for microorganisms, due to stronger linkage between loci. However, in many cases, the selective force changes with environment, time, or other factors, and it is of great interest to understand selective forces at this level to answer relevant biological questions. We developed a new method that uses the change in d(N)/d(S), instead of the absolute value of d(N)/d(S), to infer the dominating selective force based on sequence data across geographical scales. If a gene was under positive selection, d(N)/d(S) was expected to increase through time, whereas if a gene was under negative selection, d(N)/d(S) was expected to decrease through time. Assuming that the migration rate decreased and the divergence time between samples increased from between-continent, within-continent different-country, to within-country level, d(N)/d(S) of a gene dominated by positive selection was expected to increase with increasing geographical scales, and the opposite trend was expected in the case of negative selection. Motivated by the McDonald–Kreitman (MK) test, we developed a pairwise MK test to assess the statistical significance of detected trends in d(N)/d(S). Application of the method to a global sample of dengue virus genomes identified multiple significant signatures of selection in both the structural and non-structural proteins. Because this method does not require allele frequency estimates and uses synonymous mutations for comparison, it is less prone to sampling error, providing a way to infer selection forces within species using publicly available genomic data from locations over broad geographical scales. Oxford University Press 2022-11-29 /pmc/articles/PMC9789396/ /pubmed/36601300 http://dx.doi.org/10.1093/ve/veac108 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Nien-Kung Corander, Jukka Grad, Yonatan H Chang, Hsiao-Han Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title | Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title_full | Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title_fullStr | Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title_full_unstemmed | Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title_short | Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
title_sort | discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789396/ https://www.ncbi.nlm.nih.gov/pubmed/36601300 http://dx.doi.org/10.1093/ve/veac108 |
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