ArticleMolecular biology and evolution2022
The Complex History of Genome Duplication and Hybridization in North American Gray Treefrogs.
Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Spatial and spectrotemporal features of noise alter female responses to costly male signals in Cope's gray treefrog (Hyla chrysoscelis).Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026Article
- Testosterone and estradiol predict male calling performance, but not performance-related tradeoffs, in competitive signaling environments in Cope's gray treefrogs (Hyla chrysoscelis).Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026Article
- Mesopolyploidy as a taxonomic clade marker for Brassica and relatives (tribe Brassiceae).Annals of botany · 2026Article
- The Genetic Consequences of Range Expansion and Its Influence on Diploidization in Polyploids.The American naturalist · 2025Article
- Perceptually salient differences in a species recognition cue do not promote auditory streaming in eastern grey treefrogs (Hyla versicolor).Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024Article
- The genetic consequences of range expansion and its influence on diploidization in polyploids.bioRxiv : the preprint server for biology · 2024Article
- Sensory biases in response to novel complex acoustic signals in male and female grey treefrogs,Proceedings. Biological sciences · 2022Article
- Arginine vasotocin affects motivation to call, but not calling plasticity, in Cope's gray treefrog Hyla chrysoscelis.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022Article
- Neural basis of acoustic species recognition in a cryptic species complex.The Journal of experimental biology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polyploid speciation has played an important role in evolutionary history across the tree of life, yet there remain large gaps in our understanding of how polyploid species form and persist. Although systematic studies have been conducted in numerous polyploid complexes, recent advances in sequencing technology have demonstrated that conclusions from data-limited studies may be spurious and misleading. The North American gray treefrog complex, consisting of the diploid Hyla chrysoscelis and the tetraploid H. versicolor, has long been used as a model system in a variety of biological fields, yet all taxonomic studies to date were conducted with only a few loci from nuclear and mitochondrial genomes. Here, we utilized anchored hybrid enrichment and high-throughput sequencing to capture hundreds of loci along with whole mitochondrial genomes to investigate the evolutionary history of this complex. We used several phylogenetic and population genetic methods, including coalescent simulations and testing of polyploid speciation models with approximate Bayesian computation, to determine that H. versicolor was most likely formed via autopolyploidization from a now extinct lineage of H. chrysoscelis. We also uncovered evidence of significant hybridization between diploids and tetraploids where they co-occur, and show that historical hybridization between these groups led to the re-formation of distinct polyploid lineages following the initial whole-genome duplication event. Our study indicates that a wide variety of methods and explicit model testing of polyploid histories can greatly facilitate efforts to uncover the evolutionary history of polyploid complexes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.