Minimal clustering and species delimitation based on multi-locus alignments vs SNPs: the case of the Seriphium plumosum L. complex (Gnaphalieae: Asteraceae)
Shaik, Z.; Bergh, N. G.; Oxelman, B.; Verboom, A. G.
Show abstract
We applied species delimitation methods based on the Multi-Species Coalescent (MSC) model to 500+ loci derived from genotyping-by-sequencing on the South African Seriphium plumosum (Asteraceae) species complex. The loci were represented either as multiple sequence alignments or single nucleotide polymorphisms (SNPs), and analysed by the STACEY and Bayes Factor Delimitation (BFD)/SNAPP methods, respectively. Both methods supported species taxonomies where virtually all of the 32 sampled individuals, each representing its own geographical population, were identified as separate species. Computational efforts required to achieve adequate mixing of MCMC chains were considerable, and the species/minimal cluster trees identified similar strongly supported clades in replicate runs. The resolution was, however, higher in the STACEY trees than in the SNAPP trees, which is consistent with the higher information content of full sequences. The computational efficiency, measured as effective sample sizes of likelihood and posterior estimates per time unit, was consistently higher for STACEY. A random subset of 56 alignments had similar resolution to the 524-locus SNP data set. The STRUCTURE-like sparse Non-negative Matrix Factorisation (sNMF) method was applied to six individuals from each of 48 geographical populations and 28023 SNPs. Significantly fewer (13) clusters were identified as optimal by this analysis compared to the MSC methods. The sNMF clusters correspond closely to clades consistently supported by MSC methods, and showed evidence of admixture, especially in the western Cape Floristic Region. We discuss the significance of these findings, and conclude that it is important to a priori consider the kind of species one wants to identify when using genome-scale data, the assumptions behind the parametric models applied, and the potential consequences of model violations may have.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The explosive radiation of the Neotropical Tillandsia subgenus Tillandsia (Bromeliaceae) has been accompanied by pervasive hybridization 96%
- Benefits and Limits of Phasing Alleles for Network Inference of Allopolyploid Complexes 96%
- Whole-genomes illuminate the drivers of gene tree discordance and the tempo of tinamou diversification (Aves: Tinamidae) 96%
Similar papers in this journal
- A target capture approach for phylogenomic analyses at multiple evolutionary timescales in rosewoods (Dalbergia spp.) and the legume family (Fabaceae) 97%
- Taxon-specific or universal? Using target capture to study the evolutionary history of rapid radiations 95%
- Phylogeographic model selection using convolutional neural networks 95%
Similar papers in this journal
- Brassica rapa domestication: untangling wild and feral forms and convergence of crop morphotypes 95%
- Chromosome-aware phylogenomics of Assassin Bugs (Hemiptera: Reduvioidea) elucidates ancient gene conflict 95%
- Optimizing Phylogenomics with Rapidly Evolving Long Exons: Comparison with Anchored Hybrid Enrichment and Ultraconserved Elements 95%
Similar papers in this journal
- Dual domestication, diversity, and differential introgression in Old World cotton diploids 95%
- Demography and natural selection have shaped genome-wide variation in the widely distributed conifer Norway Spruce (Picea abies) 95%
- Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome 95%
"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.