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.
82
datasets available to search
ShareScore release 0.7.1
Dataset results
82 results for “speciational evolution”
Data from: Mating environments mediate the evolution of behavioral isolation during ecological speciation
<p>The evolution of behavioral isolation is often the first step towards speciation. While past studies show that behavioral isolation will sometimes evolve as a by-product of divergent ecological selection, we lack a more nuanced understanding of factors that may promote or hamper its evolution. The environment in which mating occurs may be important in mediating whether behavioral isolation evolves for two reasons. Ecological speciation could occur as a direct outcome of different sexual interactions being favored in different mating environments. Alternatively, mating environments may vary in the constraint they impose on traits underlying mating interactions, such that populations evolving in a 'constraining' mating environment would be less likely to evolve behavioral isolation than populations evolving in a less constraining mating environment. In the latter, mating environment is not the direct cause of behavioral isolation but rather permits its evolution only if other drivers are present. We test these ideas with a set of 28 experimental fly populations, each of which evolved under one of two mating environments and one of two larval environments. Counter to the prediction of ecological speciation by mating environment, behavioral isolation was not maximal between populations evolved in different mating environments. Nonetheless, mating environment was an important factor as behavioral isolation evolved among populations from one mating environment but not among populations from the other. Though one mating environment was conducive to the evolution of behavioral isolation, it was not sufficient: assortative mating only evolved between populations adapting to different larval environments within that mating environment, indicating a role for ecological speciation. Intriguingly, the mating environment that promoted behavioral isolation is characterized by less sexual conflict compared to the other mating environment. Our results suggest that mating environments plays a key role in mediating ecological speciation via other axes of divergent selection.</p>
Competition and geography underlie speciation and morphological evolution in Indo-Australasian monitor lizards
<p>How biotic and abiotic factors act together to shape biological diversity is a major question in evolutionary biology. The recent availability of large datasets and development of new methodological approaches provide new tools to evaluate the predicted effects of ecological interactions and geography on lineage diversification and phenotypic evolution. Here, we use a near complete phylogenomic-scale phylogeny and a comprehensive morphological dataset comprising more than a thousand specimens to assess the role of biotic and abiotic processes in the diversification of monitor lizards (Varanidae). This charismatic group of lizards shows striking variation in species richness among its clades and multiple instances of endemic radiation in Indo-Australasia (i.e., the Indo-Australian Archipelago and Australia), one of Earth's most biogeographically complex regions. We found heterogeneity in diversification dynamics across the family. Idiosyncratic biotic and geographic conditions appear to have driven diversification and morphological evolution in three endemic Indo-Australasian radiations. Furthermore, incumbency effects partially explain patterns in the biotic exchange between Australia and New Guinea. Our results offer insight into the dynamic history of Indo-Australasia, the evolutionary significance of competition, and the long-term consequences of incumbency effects.</p>
Data for: Faster evolution of a premating reproductive barrier is not associated with faster speciation rates in New World passerine birds
<p>Why are speciation rates so variable across the tree of life? One hypothesis is that this variation is explained by how rapidly reproductive barriers evolve. We tested this hypothesis by conducting a comparative study of the evolution of bird song, a premating barrier to reproduction. Speciation in birds is typically initiated when geographically isolated (allopatric) populations evolve reproductive barriers. We measured the strength of song as a premating barrier between closely related allopatric populations by conducting 2,339 field experiments to measure song discrimination for 175 taxon pairs of allopatric or parapatric New World passerine birds, and estimated recent speciation rates from a global molecular phylogeny of birds. Taxon pairs with high song discrimination in allopatry failed to regularly interbreed in parapatry, evidence that song discrimination is indeed an important reproductive barrier. However, evolutionary rates of song discrimination were not associated with recent speciation rates, and song discrimination evolves faster in suboscine passerines than their more species-rich sister clade, the oscines. Our findings support the long-held idea that song is a key premating reproductive barrier in birds, but show that faster evolution of this reproductive barrier between populations does not result in faster diversification betweeen species.</p>
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B. 'bufonivora_EUROPE_A' represents a consistent haplotype present in all 12 samples from Europe (Table 1), of which just two were heterozygous ('bufonivora_frog' and 'bufonivora_NLWi'). 'bufonivora_CAN' and 'elongata_CAN' are represented by two samples each, none of which were heterozygous. Scale bar represents expected changes per site.
Fig. 2. Bayesian Inference tree constructed from Internal transcribed Spacer 2 in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 2. Bayesian Inference tree constructed from Internal transcribed Spacer 2 (non-coding) sequence data. Each specimen is labelled with the species name and location abbreviation as indicated in Table 1. Green text corresponds to European samples of Lucilia bufonivora; red represents Lucilia elongata; purple represents Canadian L. bufonivora; orange represents Lucilia silvarum. Scale bar represents expected changes per site. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6. Divergence times estimated from a in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 6. Divergence times estimated from a concatenated data set of per, COX1 and ITS2 sequences for the Lucilia bufornivora species group. Substitution model and relaxed clock models were unlinked for each gene. The tree was calibrated by setting the root to the node age corresponding to the split between Luciilinae and Calliphorinae subfamilies (~19 mya) as estimated by Wallman et al. (2005). Blue bars represent 95% highest posterior density (HPD) of each node age. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 1. Location of samples for which the COX1 gene was sequenced in this study. Boxes represent the locations of individual samples: red, Lucilia elongata; orange, Lucilia silvarum; green, Lucilia bufonivora.
Fig. 13 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 13. SEM micrographs of Ludfordian graptolites Pristiograptus dubius postmagnus subsp. nov. and Pristiograptus dubius labiatus Urbanek, 1997. A–C. Pristiograptus dubius postmagnus subsp. nov., Mielnik−1 borehole, Poland, depth 780.5 m; Monograptus (Uncinatograptus) acer Biozone. A. ZPAL G.44/48, lateral view of rhabdosome (A1), the thecal lip with connection to the succeeding theca (A2), and proximal end of rhabdosome (A3). B. ZPAL G.44/49, lateral view of rhabdosome sicula with rings (B1) and proximal end of rhabdosome (B2). C. ZPAL G.44/50, medial part of rhabdosome (C2), enlargements showing connections to the succeeding thecae (C1, C3). D–F. Pristiograptus dubius labiatus Urbanek, 1997, Mielnik−1 borehole, Poland, depth 753.3 m; Monograptus (Uncinatograptus) spineus–Neocolonograptus parultimus Interzone. D. ZPAL G.44/51, general view of rhabdosome (D1), sicula with two first thecae and depression on th1 lip (D). E. ZPAL G.44/52, lateral view of rhabdosome (E) and proximal end of rhabdosome (E). F. ZPAL 2 1 2 G.44/53, lateral view of rhabdosome (F1) enlargement of proximal end (F2).
Fig. 10 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 10. SEM micrographs of two Homerian (Wenlock) graptolite Pristiograptus forms. A, B. Pristiograptus dubius paezerensis subsp. nov., mature rhabdosomes; Cyrtograptus lundgreni Biozone. A. ZPAL G.44/17, Bartoszyce IG−1 borehole, Poland, depth 1663.2 m. B. ZPAL G.44/19, Zawada borehole, Poland, depth 1555.9–1562 m. C, D. Pristiograptus dubius parvus Ulst, 1974 growing rhabdosomes, Bartoszyce IG−1 borehole, Poland, depth 1660.7 m; Pristiograptus parvus Biozone. C. ZPAL G.44/25. D. ZPAL G.44/26.
Fig. 9 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 9. SEM micrographs of the graptolite Pristiograptus lodenicensis Přibyl, 1943; Cyrtograptus lundgreni Biozone, Lower Homerian, Wenlock. A–D, F. Zawada borehole, Poland. A–C. Depth 1546.5–1552.7 m. A. ZPAL G. 44/13, general view of rhabdosome (A), lips of th3 and th4 (A), and th1 1 2 with sicula (A3). B. ZPAL G.44/14, general view of dorsal side of rhabdosome (B1), proximal end (B2). C. ZPAL G.44/15, general view of rhabdosome. D, F. Depth 1540–1546.5 m. D. ZPAL G.44/16, proximal end of rhabdosome. F. ZPAL G.44/17, proximal end of rhabdosome (F) and th2 lip with cortical 1 tissue "script" ("manta ray wing") (F2). E. VU P.P9−4b, Parovėja−9 borehole, Lithuania, depth 561.9 m, general view of rhabdosome (E1), depressions of thecal apertural lip (E2).
Fig. 3 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 3. Morphology of graptolite Pristiograptus rhabdosomes. A. Drawing of rhabdosome showing its characters (modified from Radzevičius 2003). B–E. Morphological features on flattened specimens. B. Pristiograptus lodenicensis Přibyl, 1948; VU−813, Likënai−396 borehole, Lithuania, depth 589.5 m; Cyrtograptus lundgreni Biozone, Riga Formation. C. Pristiograptus dubius magnus subsp. nov., VU−835, Parovėja−9 borehole, Lithuania, depth 599.8 m; Cyrtograptus perneri Biozone, whole specimen (C1), enlargement showing thecal apertural lip (C2). D. Pristiograptus dubius pseudodubius (Bouček, 1932), fragment of rhabdosome, VU−A3−0047a; C. lundgreni Biozone, Żdanów outcrop, Sudetes, Poland. E. Pristiograptus jaegeri Holland, Rickards, and Warren, 1969; Vilkaviškis−131 borehole, depth 1073.2 m, VU−8004, Colonograptus deubeli Biozone. Abbreviations: ss, angle between thecal lip and wall of succeeding theca; λ, angle between interthecal septum (thecal axis) and virgule; r, sicula ring; th1, first theca; tal, thecal apertural lip.
Fig. 2 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 2. Map of western margin of the East European Platform. A. Facies across the studied region (modified after Porębska et al. 2004). B. Location of the investigated boreholes in Lithuania and Poland.
Fig. 1 in Phyletic evolution and iterative speciation in the persistent Pristiograptus dubius lineage
Fig. 1. Graptolite phylogenetic relationships between the iterative of Pristiograptus dubius group taxa species and subspecies from Poland and Lithuania and their stratigraphical ranges. For more data concerning iterative clades that branched off the stem lineage see Fig. 4. Generalized graptolites biozones (Koren' et al. 1996) correlated with biozones of Poland and Lithuania (Urbanek and Teller 1997; Radzevičius 2007). Abbreviations: B., Bohemograptus; Col., Colonograptus; Cucullo., Cucullograptus; Cyrto., Cyrtograptus; d., dubius; G., Gothograptus; I., Istrograptus; L., Lobograptus; M., Monograptus; Neocol., Neocolonograptus; Neocucul., Neocucullograptus; Neodiver., Neodiversograptus; Neolob., Neolobograptus; P., Pristiograptus; S., Saetograptus; Slov., Slovinograptus; t., transgrediens; U., Uncinatograptus.
Figure 3 in Aedeagus evolution promotes speciation? A primary pattern in rove beetle phylogeny
Figure 3. Plotting Paramere-to-Median-lobe Index (PM Index) and the number of species of the selected genera (Y axis) with the divergence time (X axis) estimated. PM Index variations along with divergence time (a, c); species number variations along with evolutionary time (b, d). The abbreviation of geological ages are as follows: Jur—Jurassic; Cre—Cretaceous; Pal—Paleocene; Eoc— Eocene; Oli—Oligocene; Mio—Miocene; Pli—Pliocene.
Figure 2. Figure 2 in Aedeagus evolution promotes speciation? A primary pattern in rove beetle phylogeny
Figure 2. Figure 2. Phylogeny of the subfamily Staphylininae with divergence time estimates based on the concatenated sequence. Blue bars at each node show 95% highest posterior density interval for the main nodes. Colored branches and circled capital letters are as in Figure 1. Circled numbers refer to three main sub-clades within Clade A discussed in text. Circled roman letters represent the calibration points. Capital letter 'A', 'P' and 'N' represent aedeagus, paramere and species number of each corresponding genus respectively. Colored arrows refer to phylogenetic patterns of aedeagus morphology discussed in text. Dot lines with lower case letters refer to divergence times discussed in text. The abbreviation of geological ages are as follows: Jur—Jurassic; Cre—Cretaceous; Pal— Paleocene; Eoc—Eocene; Oli—Oligocene; Mio—Miocene; Pli—Pliocene.
Figure 1 in Aedeagus evolution promotes speciation? A primary pattern in rove beetle phylogeny
Figure 1. Bayesian phylogenetic tree for the partitioned combined analysis of four genes. Only posterior probabilities above 0.60 are shown. Colored branches represent the mainly monophyletic groups resolved in the phylogenetic inference. Verticle bars: thick bars denote the tribes of Staphylinini, thin bars the subtribes, grey bar the outgroup. The capital letters "A" and "B" refer to two main clades discussed in the text.
Figure 11 in Speciation in Darwin's darklings: taxonomy and evolution of Stomion beetles in the Galápagos Islands, Ecuador (Insecta: Coleoptera: Tenebrionidae)
Figure 11. Consensus tree of the three equally parsimonious trees with DELTRAN optimization, all characters of equal weight and unordered. Closed symbols indicate apomorphies, and open symbols indicate probable homoplasy. Numbers above each symbol indicate the character and numbers below the symbol indicate its state. Tree length 66; consistency index 48; retention index 48. A and B indicate the two basal clades of species.
Figure 9 in Speciation in Darwin's darklings: taxonomy and evolution of Stomion beetles in the Galápagos Islands, Ecuador (Insecta: Coleoptera: Tenebrionidae)
Figure 9. Principal islands of the Galápagos Archipelago (numbers on contour lines indicate elevation in hundreds of metres). Not all satellite islets with Stomion are indicated by name.
Figures 24–29 in Speciation in Darwin's darklings: taxonomy and evolution of Stomion beetles in the Galápagos Islands, Ecuador (Insecta: Coleoptera: Tenebrionidae)
Figures 24–29. Scanning electron micrographs of the head and pronotum (18 ¥), with inset of pronotal disc (300¥) and the elytral disc (100¥). Figs 24, 25. S. obesum; Figs 26, 27. S. genovesa; Figs 28, 29. S. longulum.
Figures 1–8 in Speciation in Darwin's darklings: taxonomy and evolution of Stomion beetles in the Galápagos Islands, Ecuador (Insecta: Coleoptera: Tenebrionidae)
Figures 1–8. Habitus figures of eight species of Stomion. Fig. 1. S. galapagoensis. Fig. 2. S. helopoides. Fig. 3. S. cribicollis. Fig. 4. S. longulum. Fig. 5. S. laevigatum. Fig. 6. S. linelli. Fig. 7. S. longicornis. Fig. 8. S. rugosum. From Van Dyke (1953), with permission of California Academy of Sciences. Scale bar = 5 mm.
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.