Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
38
datasets available to search
ShareScore release 0.9.0
Dataset results
38 results for “Coalescent methods”
The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels
Open the record for dataset details and reuse information.
Data from: Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon
Examining species diversity and mechanisms of speciation using coalescent models provides a framework for how regional diversity is accrued, even in well-studied areas such as the Nearctic. It is likely, that gene flow among closely-related species with adjacent distributions may be common. However, the absence of gene flow is a primary assumption of many phylogeographical methods that produce species trees and delimit species using Bayesian or likelihood functions in a coalescent framework. In the present study, we examine delimitation when gene flow between species is present using empirical datasets from two species of North American pitvipers of the genus Agkistrodon. We also use niche modelling to determine whether these young lineages occur in distinct environmental niches. To manage the problem of gene flow between species, we first identify admixed individuals, demonstrate that gene flow has occurred, and then identify the impact of alternative population assignments of admixed individuals on delimitation posterior probabilities. In addition, we examine the influence of mitochondrial genes relative to other loci combined in coalescent analyses that delimit species. Here, we find that the copperheads (Agkistrodon contortrix) and the cottonmouths (Agkistrodon piscivorus) are each composed of two distinct species, with each occupying different niches. Importantly, we find that species can be delimited when the amount of gene flow between lineages is low, although the methods are acutely sensitive to population assignment of individuals.
Data from: Assessing species boundaries and the phylogenetic position of the rare Szechwan Ratsnake, Euprepiophis perlacea (Serpentes: Colubridae), using coalescent-based methods
Delimiting species and clarifying phylogenetic relationships are the main goals of systematics. For species with questionable taxonomic status, species delimitation approaches using multi-species coalescent models with multiple loci are recommended if morphological data are unavailable or unhelpful. Moreover, these methods will also reduce subjectivity based on genetic distance or requirement of monophyletic genetic lineages. We determine the validity and phylogenetic position of a rare and long controversial species of Chinese reptile, the Szechwan ratsnake (Euprepiophis perlacea), using multi-locus data from multiple individuals and coalescent-based approaches. Species were first delimited using Bayesian Phylogenetics & Phylogeography (BP&P), Brownie and Bayes Factor model comparison approaches, while relationships among species were estimated using species tree inference in *BEAST. Results indicate that Euprepiophis perlacea is a distinct species sister to Euprepiophis mandarinus. Despite gene tree discrepancy, the coalescent model-based approaches used here demonstrate the taxonomic validity and the phylogenetic position of Euprepiophis perlacea. These approaches objectively test the validity of questionable species diagnoses based on morphological characters and determine their phylogenetic position.
Figure 11 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 11. Dugesia hoidi: A, holotype RMNH.VER.21056.1, photomicrograph showing the penial fold (pf) in sagiưal section; B, paratype RMNH.VER.21056.2, photomicrograph showing the penis papilla (pp) and the penial fold (pf) in transverse section.
Figure 10. Dugesia hoidi. Holotype RMNH.VER.21056.1 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 10. Dugesia hoidi. Holotype RMNH.VER.21056.1: A, sagiưal reconstruction of the male copulatory apparatus (anterior to the right); B, sagiưal reconstruction of the penial fold and female copulatory apparatus; C, photomicrograph of sagiưal section, showing penis bulb (pb) with the seminal vesicle (sv), right (rvd) and the less (lvd) vas deferens, penis papilla (pp) with the pointed diaphragm (d), and the ejaculatory duct (ed).
Figure 7. Dugesia benazzii s.s., CGAS Pla 25.1 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 7. Dugesia benazzii s.s., CGAS Pla 25.1: A, sagiưal reconstruction of the male copulatory apparatus (anterior to the right); B, sagiưal reconstruction of the fold and female copulatory apparatus; C, photomicrograph of sagiưal section, showing the penis bulb (pb), penis papilla (pp) with conical, pointed diaphragm (d), ejaculatory duct (ed), penial fold (pf), and 'angled' bursal canal (abc).
Figure 6 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 6. Karyogram of (A) Dugesia benazzii s.s. from Su Rizzolu River (Oưi, loc. 13) and (B) Dugesia hoidi.
Figure 1. A in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 1. A, sampling localities of the present study. Numbers correspond to population codes listed in Appendix, Table A1 and coincide with those in Dols-Serrate et al. (2020). Red circles indicate populations used for morphological analyses. B, rectangular inset: enlargement of the Bunnari–Mascari confluence area. Ŋe map was created using Q-GIS v.3.2.2 (hưps://qgis.org/es/site/ last accessed September 2023) and edited in ILLUSTÞTOR CC v.22.0.1 (hưps://www.adobe.com/products/illustrator.html last accessed September 2023).
Figure 14 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 14. Dugesia mariae: A, CGAS Pla 27. 1, photomicrograph showing the penis bulb with the seminal vesicle (sv), less (lvd) and right (rvd) vas deferens, the penial papilla (pp) and the two atrial folds (af) in horizontal section; B, CGAS Pla 27. 4, photomicrograph showing the penis papilla (pp) and the penial fold (pf) in transverse section.
Figure 9. Dugesia benazzii s.s in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 9. Dugesia benazzii s.s.: A, CGAS Pla 25. 6, photomicrograph showing the penial fold (pf) and the two atrial folds (af) in sagiưal section; B, CGAS Pla 25. 4, photomicrograph showing the penis papilla (pp) and the penial fold (pf) in transverse section.
Figure 3 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 3. mtDNA (dataset I) phylogenetic tree and species discovery delimitation schemes for ABGD, GMYC, and mPTP, as well as PSHs and PSCs. Ultrametric tree from BEAST is shown only for visual purposes; posterior probabilities (pp) and bootstrap support values (bs) relate to MrBayes and ÞxML analyses, respectively; pp and bs node support values represented by squares and circles, filled with white (unsupported), grey (supported), and black (maximum support), respectively.
Figure 8. Dugesia benazzii s.s., CGAS Pla 25.1 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 8. Dugesia benazzii s.s., CGAS Pla 25.1. Photomicrograph of the copulatory bursa with a ciliate parasite (cp) and a spermatophore (sp) in a sagiưal section.
Figure 5 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 5. BFD results for the array of models tested (1–6), with different a priori species-delimitation hypotheses tested on three datasets (I, IV, and V). Each column represents a model with a unique combination of lineages (rows). Star symbol indicates reassignment of PSC4. Marginal-likelihood estimates (MLE) and Bayes' factors comparison results (2lnBf) from the combined analyses of five independent runs with PS (path-sampling) and SS (stepping stone) are represented with circles and a grey-scale scheme. 2lnBf comparison support indicates differences from the best model: non-significant indicates no difference in support for the two models; positively supported and decisively-supported indicate clear support in favour of the best-fiưing model over its alternative.
Figure 4 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 4. Schematic representation of BPP results on multi-locus data for two topologies. Colour scheme and squares represent posterior probability (pp) for each node under four different prior combinations, using two algorithms (A0 and A1) and three datasets (I, IV, and V). *Unsupported node with a pp of 0.94.
Figure 2 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 2. Simplified Bayesian (A–E1) and ML dendrograms (E2). A, dataset I: COI–NADH4–tRNAW–COII; B, dataset II: Dunuc10; C, dataset III: Dunuc12; D, dataset IV: Dunuc10 * 12; E, dataset V: mtDNA * nDNA. Posterior probabilities (pp) are indicated by filled squares and bootstrap support values (bs) with filled circles. Full trees are represented in Figure 3 (dataset I) and Supporting Information, Figure S1 (datasets I–V).
Figure 13. Dugesia mariae. Holotype RMNH.VER.21056.1 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 13. Dugesia mariae. Holotype RMNH.VER.21056.1: A, sagiưal reconstruction of the copulatory apparatus (anterior to the right); B, photomicrograph showing, in a sagiưal section, the penis bulb (pb) with seminal vesicle (sv), penis papilla (pp) with the pointed diaphragm (d), pleated ejaculatory duct (ed), and the penial fold (pf).
Figure 12 in Fantastic beasts and how to delimit them: an integrative approach using multispecies coalescent methods reveals two new, endemic Dugesia species (Platyhelminthes: Tricladida) from Corsica and Sardinia
Figure 12. Dugesia mariae. Photomicrograph of a preserved sexual specimen from the Golo River (Barcheưa, loc. 24).
Data from: Species delimitation with ABC and other coalescent-based methods: a test of accuracy with simulations and an empirical example with lizards of the Liolaemus darwinii complex (Squamata: Liolaemidae)
Species delimitation is a major research focus in evolutionary biology because accurate species boundaries are a prerequisite for the study of speciation. New species delimitation methods (SDMs) can accommodate non-monophyletic species and gene tree discordance as a result of incomplete lineage sorting via the coalescent model, but do not explicitly accommodate gene flow after divergence. Approximate Bayesian Computation (ABC) can incorporate gene flow and estimate other relevant parameters of the speciation process while testing alternative species delimitation hypotheses. We evaluated the accuracy of BPP, SpeDeSTEM, and ABC for delimiting species using simulated data and applied these methods to empirical data from lizards of the Liolaemus darwinii complex. Overall, BPP was the most accurate, ABC showed an intermediate accuracy, and SpeDeSTEM was the least accurate under most simulated conditions. All three SDMs showed lower accuracy when speciation occurred despite gene flow, as found in previous studies, but ABC was the method with the smallest decrease in accuracy. All three SDMs consistently supported the distinctness of southern and northern lineages within L. darwinii. These SDMs based on genetic data should be complemented with novel SDMs based on morphological and ecological data to achieve truly integrative and statistically robust approaches to species discovery.
Figure 2 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon
Figure 2. Species tree showing the phylogenetic relationships within the genus Agkistrodon implemented in *BEAST (Heled & Drummond, 2010). Posterior probability support for nodes is indicated above branches. The guide trees used for subsequent species delimitation in BPP (Yang & Rannala, 2010) are shown in the insets.
Figure 3 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon
Figure 3. Posterior probability of speciation inferred by BPP, version 2.0 (Yang & Rannala, 2010) with an increasing proportion of hybrids included in the dataset for Agkistrodon contortrix (A) and Agkistrodon piscivorus (B). Results are shown for both species with hybrids assigned to the population that contributed the majority of alleles with a fully resolved starting tree (1) and a fully collapsed starting tree (0), as well as hybrids assigned to the population that contributed the minority of alleles with both starting trees.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.