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Next-generation polyploid phylogenetics: rapid resolution of hybrid polyploid complexes using PacBio single-molecule
Carl J Rothfels1, Kathleen M Pryer2, Fay-Wei Li1,2
1University Herbarium and Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
The New Phytologist
|July 28, 2016
Summary
Generating nuclear data for polyploids is now easier with the Pipeline for Untangling Reticulate Complexes (Purc). This high-throughput method quickly provides accurate phylogenetic data for complex plant groups.
Area of Science:
- Evolutionary Biology
- Genomics
- Bioinformatics
Background:
- Generating nuclear data for polyploid organisms presents significant challenges for phylogenetic studies.
- Previous methods were often slow, inconvenient, and struggled with the complexity of polyploid genomes.
Purpose of the Study:
- To develop and validate a high-throughput protocol and bioinformatics pipeline for generating nuclear data in polyploids.
- To demonstrate the utility of this approach for inferring phylogenetic relationships in polyploid species.
Main Methods:
- A high-throughput protocol involving amplification and PacBio sequencing of four nuclear loci (approx. 1 kb each).
- Development of the Pipeline for Untangling Reticulate Complexes (Purc) bioinformatics pipeline to process raw sequencing reads.
- Purc utilizes an iterative approach to correct errors, remove chimeras, and infer accurate sequences of all gene copies (homeologs, paralogs, alleles).
Main Results:
- Successful generation of nuclear data for multiple gene copies across numerous polyploid accessions from the fern family Cystopteridaceae.
- Purc accurately inferred underlying sequences from raw PacBio reads, demonstrating its efficacy in handling complex polyploid data.
- Inferred a multi-labeled species tree for a subset of accessions, showcasing the downstream phylogenetic utility.
Conclusions:
- The described high-throughput protocol and Purc pipeline offer an easy, economical, and accurate method for polyploid phylogenetics.
- This approach facilitates the study of broad patterns of polyploid evolution, especially when combined with advanced analytical methods.

