A Computational Protocol for Dating the Evolution of Cyanobacteria.
Cyanobacteria
Microbial evolution
Molecular dating
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
9
9
2022
pubmed:
10
9
2022
medline:
14
9
2022
Statut:
ppublish
Résumé
Cyanobacteria are known to play important roles in driving biological and geochemical innovations in ancient Earth. The origin of Cyanobacteria is the key to understanding these evolutionary events and thus has gained much interest to biologists and geobiologists. Recent development of the molecular dating approaches provides us an opportunity to assess the timeline of Cyanobacteria evolution based on relaxed clock models. The implementation of Bayesian phylogenetic approaches accommodates the uncertainties from different sources, such as fossil calibrations and topological structure of the phylogenomic tree, and provides us converged estimates of posterior mean ages. In this chapter, by taking Cyanobacteria as an example, we introduce a refined strategy to perform molecular dating analysis, as well as a practical method to evaluate the precision of dating analysis.
Identifiants
pubmed: 36083442
doi: 10.1007/978-1-0716-2691-7_2
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
23-40Informations de copyright
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
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