Literature DB >> 29438538

Testing the Role of the Red Queen and Court Jester as Drivers of the Macroevolution of Apollo Butterflies.

Fabien L Condamine1,2,3, Jonathan Rolland4, Sebastian Höhna5, Felix A H Sperling3, Isabel Sanmartín2.   

Abstract

In macroevolution, the Red Queen (RQ) model posits that biodiversity dynamics depend mainly on species-intrinsic biotic factors such as interactions among species or life-history traits, while the Court Jester (CJ) model states that extrinsic environmental abiotic factors have a stronger role. Until recently, a lack of relevant methodological approaches has prevented the unraveling of contributions from these 2 types of factors to the evolutionary history of a lineage. Herein, we take advantage of the rapid development of new macroevolution models that tie diversification rates to changes in paleoenvironmental (extrinsic) and/or biotic (intrinsic) factors. We inferred a robust and fully-sampled species-level phylogeny, as well as divergence times and ancestral geographic ranges, and related these to the radiation of Apollo butterflies (Parnassiinae) using both extant (molecular) and extinct (fossil/morphological) evidence. We tested whether their diversification dynamics are better explained by an RQ or CJ hypothesis, by assessing whether speciation and extinction were mediated by diversity-dependence (niche filling) and clade-dependent host-plant association (RQ) or by large-scale continuous changes in extrinsic factors such as climate or geology (CJ). For the RQ hypothesis, we found significant differences in speciation rates associated with different host-plants but detected no sign of diversity-dependence. For CJ, the role of Himalayan-Tibetan building was substantial for biogeography but not a driver of high speciation, while positive dependence between warm climate and speciation/extinction was supported by continuously varying maximum-likelihood models. We find that rather than a single factor, the joint effect of multiple factors (biogeography, species traits, environmental drivers, and mass extinction) is responsible for current diversity patterns and that the same factor might act differently across clades, emphasizing the notion of opportunity. This study confirms the importance of the confluence of several factors rather than single explanations in modeling diversification within lineages.

Mesh:

Year:  2018        PMID: 29438538     DOI: 10.1093/sysbio/syy009

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  23 in total

1.  Limited by the roof of the world: mountain radiations of Apollo swallowtails controlled by diversity-dependence processes.

Authors:  Fabien L Condamine
Journal:  Biol Lett       Date:  2018-03       Impact factor: 3.703

2.  Phylogenomic and Macroevolutionary Evidence for an Explosive Radiation of a Plant Genus in the Miocene.

Authors:  Hanghui Kong; Fabien L Condamine; Lihua Yang; A J Harris; Chao Feng; Fang Wen; Ming Kang
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

3.  Macroevolutionary pattern of Saussurea (Asteraceae) provides insights into the drivers of radiating diversification.

Authors:  Xu Zhang; Jacob B Landis; Yanxia Sun; Huajie Zhang; Nan Lin; Tianhui Kuang; Xianhan Huang; Tao Deng; Hengchang Wang; Hang Sun
Journal:  Proc Biol Sci       Date:  2021-11-03       Impact factor: 5.349

4.  Miocene Climate and Habitat Change Drove Diversification in Bicyclus, Africa's Largest Radiation of Satyrine Butterflies.

Authors:  Kwaku Aduse-Poku; Erik van Bergen; Szabolcs Sáfián; Steve C Collins; Rampal S Etienne; Leonel Herrera-Alsina; Paul M Brakefield; Oskar Brattström; David J Lohman; Niklas Wahlberg
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

5.  Climate and host-plant associations shaped the evolution of ceutorhynch weevils throughout the Cenozoic.

Authors:  Harald Letsch; Brigitte Gottsberger; Christian Metzl; Jonas Astrin; Ariel L L Friedman; Duane D McKenna; Konrad Fiedler
Journal:  Evolution       Date:  2018-08-10       Impact factor: 3.694

6.  Phylogeny, host use, and diversification in the moth family Momphidae (Lepidoptera: Gelechioidea).

Authors:  Daniel J Bruzzese; David L Wagner; Terry Harrison; Tania Jogesh; Rick P Overson; Norman J Wickett; Robert A Raguso; Krissa A Skogen
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

7.  Spatiotemporal Differentiation of Alpine Butterfly Parnassius glacialis (Papilionidae: Parnassiinae) in China: Evidence from Mitochondrial DNA and Nuclear Single Nucleotide Polymorphisms.

Authors:  Ruisong Tao; Chang Xu; Yunliang Wang; Xiaoyan Sun; Chunxiang Li; Junye Ma; Jiasheng Hao; Qun Yang
Journal:  Genes (Basel)       Date:  2020-02-11       Impact factor: 4.096

8.  A complete time-calibrated multi-gene phylogeny of the European butterflies.

Authors:  Martin Wiemers; Nicolas Chazot; Christopher W Wheat; Oliver Schweiger; Niklas Wahlberg
Journal:  Zookeys       Date:  2020-06-04       Impact factor: 1.546

9.  Linking population-level and microevolutionary processes to understand speciation dynamics at the macroevolutionary scale.

Authors:  Laura Rodrigues Vieira de Alencar; Tiago Bosisio Quental
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

10.  Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts.

Authors:  Andrew F Magee; Sebastian Höhna; Tetyana I Vasylyeva; Adam D Leaché; Vladimir N Minin
Journal:  PLoS Comput Biol       Date:  2020-10-28       Impact factor: 4.475

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