Resolving evolutionary relationships in the groundsels: phylogenomics, divergence time estimates, and biogeography of Packera (Asteraceae: Senecioneae)
Moore-Pollard, E. R.; Mandel, J. R.
Show abstract
The genus Packera belongs to the sunflower family and contains an estimated 64 species and varieties endemic to North America. Some Packera are known to hybridize or exhibit polyploidy, making it difficult to reconstruct evolutionary relationships within the group. Previous molecular phylogenetic studies of Packera employing ITS data recovered low resolution trees, providing little information on the evolutionary relationships within this complex genus. Therefore, we used next-generation sequencing data to infer nuclear and plastid phylogenies of Packera and related Senecioneae taxa. The nuclear phylogeny was calibrated to produce a timetree, then used to reconstruct the macroevolutionary history of Packera, including its historical biogeography. We then compared the reconstructed evolutionary history to previously published scenarios based on phylogenetic and geohistorical data. We found that the nuclear and plastid phylogenies were highly incongruent, with the nuclear tree presenting higher resolution than the plastid tree which had an apparent lack of plastid diversity. The nuclear tree indicated that geography may have played a major role in the evolution and taxonomic diversification of Packera. The estimated origin of Packera at approximately 19.2MY - 25.9MY (late Oligocene to early Miocene) is older than in most other studies. Nonetheless, it aligns well with previous geohistorical predictions, which suggest that speciation and diversification events in Packera were driven by changes in geography and climate in North America. Moreover, Packera likely originated in the western United States or Mexico, and subsequently diversified north and east into the rest of North America and Russia, in agreement with other studies.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Phylogeny, classification, and character evolution of tribe Citharexyleae (Verbenaceae) 97%
- Towards a species-level phylogeny for Neotropical Myrtaceae: notes on topology and resources for future studies 97%
- Diversification, Spread, and Admixture of Octoploid Strawberry in the Western Hemisphere 95%
Similar papers in this journal
- Target sequence capture data shed light on the deeper evolutionary relationship on the subgenus Chamaecerasus of Lonicera (Caprifoliaceae) 97%
- Cryptic diversity in the model fern genus Ceratopteris (Pteridaceae) 97%
- Phylogeny and Biogeography of South American Marsh Pitcher Plant Genus Heliamphora (Sarraceniaceae) Endemic to the Guiana Highlands 97%
Similar papers in this journal
- Increased resolution in the face of conflict: phylogenomics of the Neotropical bellflowers (Campanulaceae: Lobelioideae), a rapid plant radiation 97%
- Target enrichment improves phylogenetic resolution in the genus Zanthoxylum (Rutaceae) and indicates both incomplete lineage sorting and hybridization events 97%
- Phylogenomic analyses of the diverse desert-alpine plant lineage Cistantheae 96%
Similar papers in this journal
- Allopatric speciation is more prevalent than parapatric ecological divergence in a recent high-Andean diversification (Asteraceae: Linochilus) 95%
- Relict groups of spiny frogs indicate Late Paleogene-Early Neogene trans-Tibet dispersal of thermophile faunal elements 95%
- Tackling the phylogenetic conundrum of Hydroidolina (Cnidaria: Medusozoa: Hydrozoa) by assessing competing tree topologies with targeted high-throughput sequencing. 95%
Similar papers in this journal
- HybPhaser: a workflow for the detection and phasing of hybrids in target capture datasets 94%
- Targeted sequence capture array for phylogenetics and population genomics in the Salicaceae 93%
- Chromosome-scale reference genome of Pectocarya recurvata, a species with one of the smallest genome sizes in Boraginaceae 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.