A. Wright, David W. Bapst, Joëlle Barido‐Sottani, R. Warnock
{"title":"Integrating Fossil Observations Into Phylogenetics Using the Fossilized Birth–Death Model","authors":"A. Wright, David W. Bapst, Joëlle Barido‐Sottani, R. Warnock","doi":"10.1146/annurev-ecolsys-102220-030855","DOIUrl":null,"url":null,"abstract":"Over the past decade, a new set of methods for estimating dated trees has emerged. Originally referred to as the fossilized birth–death (FBD) process, this single model has expanded to a family of models that allows researchers to coestimate evolutionary parameters (e.g., diversification, sampling) and patterns alongside divergence times for a variety of applications from paleobiology to real-time epidemiology. We provide an overview of this family of models. We explore the ways in which these models correspond to methods in quantitative paleobiology, as the FBD process provides a framework through which neontological and paleontological approaches to phylogenetics and macroevolution can be unified. We also provide an overview of challenges associated with applying FBD models, particularly with an eye toward the fossil record. We conclude this piece by discussing several exciting avenues for the inclusion of fossil data in phylogenetic analyses. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 53 is November 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":7988,"journal":{"name":"Annual Review of Ecology, Evolution, and Systematics","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Ecology, Evolution, and Systematics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-ecolsys-102220-030855","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 13
Abstract
Over the past decade, a new set of methods for estimating dated trees has emerged. Originally referred to as the fossilized birth–death (FBD) process, this single model has expanded to a family of models that allows researchers to coestimate evolutionary parameters (e.g., diversification, sampling) and patterns alongside divergence times for a variety of applications from paleobiology to real-time epidemiology. We provide an overview of this family of models. We explore the ways in which these models correspond to methods in quantitative paleobiology, as the FBD process provides a framework through which neontological and paleontological approaches to phylogenetics and macroevolution can be unified. We also provide an overview of challenges associated with applying FBD models, particularly with an eye toward the fossil record. We conclude this piece by discussing several exciting avenues for the inclusion of fossil data in phylogenetic analyses. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 53 is November 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
期刊介绍:
The Annual Review of Ecology, Evolution, and Systematics is a scholarly publication that has been in circulation since 1970. It focuses on important advancements in the areas of ecology, evolutionary biology, and systematics, with relevance to all forms of life on Earth. The journal features essay reviews that encompass various topics such as phylogeny, speciation, molecular evolution, behavior, evolutionary physiology, population dynamics, ecosystem processes, and applications in invasion biology, conservation, and environmental management. Recently, the current volume of the journal transitioned from a subscription-based model to open access through the Annual Reviews' Subscribe to Open program. Consequently, all articles published in the current volume are now available under a CC BY license.