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Abstract— Like many fern lineages comprising reticulate species complexes, Polypodium s.s. (Polypodiacaeae) has a history shaped by rapid diversification, hybridization, and polyploidy that poses substantial challenges for phylogenetic inference with plastid and single-locus nuclear markers. Using target capture probes for 408 nuclear loci developed by the GoFlag project and a custom bioinformatic pipeline, SORTER, we constructed multi-locus nuclear datasets for diploid temperate and Mesoamerican species of Polypodium and five allotetraploid species belonging to the well-studied Polypodium vulgare complex. SORTER employs a clustering approach to separate putatively paralogous copies of targeted loci into orthologous matrices and haplotype phasing to infer allopolyploid haplotypes across loci, resulting in datasets amenable to both concatenated maximum likelihood and multi-species coalescent phylogenetic analyses. By comparing phylogenies derived from maximum likelihood and multi-species coalescent analyses of unphased and phased datasets, as well as evaluating discordance among gene trees and species trees, we recover support for incomplete lineage sorting within Polypodium s.s., novel relationships among diploid taxa of the Polypodium vulgare complex and its Mesoamerican sister clade, and the placement of several Polypodium species within other genera. Additionally, we were able to infer well-supported phylogenies that identified the hypothesized progenitors of the allotetraploid species, indicating that SORTER is an effective and accurate tool for reconstructing homeolog haplotypes of allopolyploids in fern taxa and other non-model organisms from target capture data.
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Incomplete lineage sorting and reticulate evolution mask species relationships in Brunelliaceae, an Andean family with rapid, recent diversification
Abstract PremiseTo date, phylogenetic relationships within the monogeneric Brunelliaceae have been based on morphological evidence, which does not provide sufficient phylogenetic resolution. Here we use target‐enriched nuclear data to improve our understanding of phylogenetic relationships in the family. MethodsWe used the Angiosperms353 toolkit for targeted recovery of exonic regions and supercontigs (exons + introns) from low copy nuclear genes from 53 of 70 species inBrunellia, and several outgroup taxa. We removed loci that indicated biased inference of relationships and applied concatenated and coalescent methods to inferBrunelliaphylogeny. We identified conflicts among gene trees that may reflect hybridization or incomplete lineage sorting events and assessed their impact on phylogenetic inference. Finally, we performed ancestral‐state reconstructions of morphological traits and assessed the homology of character states used to define sections and subsections inBrunellia. ResultsBrunelliacomprises two major clades and several subclades. Most of these clades/subclades do not correspond to previous infrageneric taxa. There is high topological incongruence among the subclades across analyses. ConclusionsPhylogenetic reconstructions point to rapid species diversification in Brunelliaceae, reflected in very short branches between successive species splits. The removal of putatively biased loci slightly improves phylogenetic support for individual clades. Reticulate evolution due to hybridization and/or incomplete lineage sorting likely both contribute to gene‐tree discordance. Morphological characters used to define taxa in current classification schemes are homoplastic in the ancestral character‐state reconstructions. While target enrichment data allows us to broaden our understanding of diversification inBrunellia, the relationships among subclades remain incompletely understood.
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- Award ID(s):
- 2002400
- PAR ID:
- 10562474
- Publisher / Repository:
- Botanical Society of America
- Date Published:
- Journal Name:
- American Journal of Botany
- Volume:
- 109
- Issue:
- 7
- ISSN:
- 0002-9122
- Page Range / eLocation ID:
- 1139 to 1156
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1002/ajb2.16025
