A time-calibrated phylogeny of the diversification of Holoadeninae frogs

Front Bioinform. 2024 Oct 2:4:1441373. doi: 10.3389/fbinf.2024.1441373. eCollection 2024.

Abstract

The phylogeny of the major lineages of Amphibia has received significant attention in recent years, although evolutionary relationships within families remain largely neglected. One such overlooked group is the subfamily Holoadeninae, comprising 73 species across nine genera and characterized by a disjunct geographical distribution. The lack of a fossil record for this subfamily hampers the formulation of a comprehensive evolutionary hypothesis for their diversification. Aiming to fill this gap, we inferred the phylogenetic relationships and divergence times for Holoadeninae using molecular data and calibration information derived from the fossil record of Neobatrachia. Our inferred phylogeny confirmed most genus-level associations, and molecular dating analysis placed the origin of Holoadeninae in the Eocene, with subsequent splits also occurring during this period. The climatic and geological events that occurred during the Oligocene-Miocene transition were crucial to the dynamic biogeographical history of the subfamily. However, the wide highest posterior density intervals in our divergence time estimates are primarily attributed to the absence of Holoadeninae fossil information and, secondarily, to the limited number of sampled nucleotide sites.

Keywords: Anura; MCMCTree; Neobatrachia; divergence times; timetree.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. BM is supported by Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) (grants E-26/211.248/2019 and E-26/201.446/2022) and by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant 311231/2022-5). FH is supported by FAPERJ (grant E-26/210.312/2021). CGS is supported by CNPq (grants 409963/2023-2, 401725/2022-7, and 309165/2019-9). JCMC was supported by scholarship from CNPq (131863/2022-3).