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279 results for “historical biogeography”
Data from: A maximum likelihood approach to generate hypotheses on the evolution and historical biogeography in the Lower Volga Valley regions (southwest Russia)
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Data from: Systematic and historical biogeography of the Bryconidae (Ostariophysi: Characiformes) suggesting a new rearrangement of its genera and an old origin of Mesoamerican ichthyofauna
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Data from: A diversification relay race from Caribbean-Mesoamerica to the Andes: historical biogeography of Xylophanes hawkmoths
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Data from: Range-wide analysis of genetic structure in a widespread, highly mobile species (Odocoileus hemionus) reveals the importance of historical biogeography
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Connecting Amazonian historical biogeography and local assemblages of understorey birds: recurrent guild proportionality within areas of endemism.
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Data from: Multilocus genetic diversity and historical biogeography of the endemic wall lizard from Ibiza and Formentera, Podarcis pityusensis (Squamata: Lacertidae)
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Phylogenomics resolves timing and patterns in the evolution of Australasian Cerambycinae (Coleoptera: Cerambycidae), and reveals new insights into the subfamily-level classification and historical biogeography of longhorn beetles
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Data from: Phylogenetics, delimitation and historical biogeography of the pantropical tree genus Thespesia (Malvaceae, Gossypieae)
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Phylogeny and historical biogeography of <em>Ayenia</em> (Malvaceae) reveal two independent Caribbean colonizations
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Data from: Phylogeny, macroevolutionary trends and historical biogeography of sloths: insights from a Bayesian morphological clock analysis
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Data from: Global biogeography and diversification of palms sheds light on the evolution of tropical lineages. I. Historical biogeography
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Data for the manuscript: Historical biogeography of Pomaderris (Rhamnaceae): continental vicariance in Australia and repeated independent dispersals to New Zealand
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A timeframe for mint evolution: Towards a better understanding of trait evolution and historical biogeography in Lamiaceae
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Fig. 3 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 3. Reconstruction of paleodrainages area of Maranhão. a. 35 m above the modern level. b. 122 m below the modern level. Note that all modern rivers flowed through three paleodrainages at the LGM (-122 m). Note that similarities of the fish faunas can be explained in part by past connection among the basins. These paleo-connections also justify how basins with low species richness were combined for the analyses of historical biogeography.
Fig. 4 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 4. Species-area relationships (SAR) for freshwater fishes of Maranhão basins. Data for 160 species.
A combined approach of mitochondrial DNA and anchored nuclear phylogenomics sheds light on unrecognized diversity, phylogeny, and historical biogeography of the cascade frogs, genus Amolops (Anura: Ranidae)
<p><i>Amolops</i> is one of the most species-rich genera in Ranidae, with 59 recognized species. This genus currently includes six species groups diagnosed mainly by morphology. Several recent molecular studies indicated that the classification of species groups within <i>Amolops</i> remains controversial, and key nodes in the phylogeny have been inadequately resolved. In addition, the diversity of cascade frogs remains poorly understood, especially for those from incompletely sampled regions. Herein, we investigate the species-level diversity within genus <i>Amolops</i> throughout southern China and Southeast Asia, and infer evolutionary relationships among the species using mtDNA data (16S, <i>COI</i>, and <i>ND2</i>). Molecular analyses indicate nine new unnamed species, mostly distributed in the Himalayas. We then utilized anchored hybrid enrichment to generate a dataset representing major mitochondrial lineages to resolve phylogenetic relationships, biogeography, and pattern of species diversification. Our resulting phylogeny strongly supports the monophyly of three previously identified species groups (the <i>A. ricketti</i>, <i>A. daiyunensis</i>,<i> </i>and <i>A. hainanensis</i> groups), the paraphyly of the <i>A. mantzorum</i> and <i>A. marmoratus</i> groups, as previously defined, and monophyly of the <i>A. monticola</i> group. We erect one new species group, the <i>A. viridimaculatus</i> group, and recognize Dubois (1992) 'subgenus' <i>Amo</i> as the <i>A. larutensis</i> species group. Biogeographic analysis suggests that <i>Amolops</i> originated on the Indo-Burma/Tai-Malay Peninsula at the Eocene/Oligocene boundary, and dispersed outward, exemplifying a common pattern observed for the origin of Asia's biodiversity. The early divergence within <i>Amolops</i> coincides with the Himalayas uplift, and the lateral extrusion of Indochina at the Oligocene/Miocene boundary. Our results show that paleoclimatic and geomorphological events have profoundly influenced the pattern of lineage diversification within <i>Amolops</i>.</p>
Data from: Using historical biogeography models to study color pattern evolution
Color is among the most striking features of organisms, varying not only in spectral properties like hue and brightness, but also in where and how it is produced on the body. Different combinations of colors on a bird's body are important in both environmental and social contexts. Previous comparative studies have treated plumage patches individually or derived plumage complexity scores from color measurements across a bird's body. However, these approaches do not consider the multivariate nature of plumages (allowing for plumage to evolve as a whole) or account for interpatch distances. Here, we leverage a rich toolkit used in historical biogeography to assess color pattern evolution in a cosmopolitan radiation of birds, kingfishers (Aves: Alcedinidae). We demonstrate the utility of this approach and test hypotheses about the tempo and mode of color evolution in kingfishers. Our results highlight the importance of considering interpatch distances in understanding macroevolutionary trends in color diversity and demonstrate how historical biogeography models are a useful way to model plumage color pattern evolution. Furthermore, they show that distinct color mechanisms (pigments or structural colors) spread across the body in different ways and at different rates. Specifically, net rates are higher for structural colors than pigment-based colors. Together, our study suggests a role for both development and selection in driving extraordinary color pattern diversity in kingfishers. We anticipate this approach will be useful for modeling other complex phenotypes besides color, such as parasite evolution across the body.
Data from: Historical biogeography of endemic seed plant genera in the Caribbean: did GAARlandia play a role?
The Caribbean archipelago is a region with an extremely complex geological history and an outstanding plant diversity with high levels of endemism. The aim of this study is to better understand the historical assembly and evolution of endemic seed plant genera in the Caribbean, by first determining divergence times of endemic genera to test whether the hypothesized Greater Antilles and Aves Ridge (GAARlandia) land bridge played a role in the archipelago colonization, and second by testing South America as the main colonization source as expected by the position of landmasses and recent evidence of an asymmetrical biotic interchange. We reconstructed a dated molecular phylogenetic tree for 625 seed plants including 32 Caribbean endemic genera using Bayesian inference and ten calibrations. To estimate the geographic range of the ancestors of endemic genera we performed a model selection between a null and 2 complex biogeographical models that included timeframes based on geological information, dispersal probabilities and directionality among regions. Crown ages for endemic genera ranged from Early Eocene (53.1 Ma) to Late Pliocene (3.4 Ma). Confidence intervals for divergence times (crown and/or stem ages) of 22 endemic genera occurred within the GAARlandia time frame. Contrary to expectations, the Antilles appears as the main ancestral area for endemic seed plant genera and only five genera had a South American origin. In contrast with patterns shown for vertebrates and other organisms and based on our sampling we conclude that GAARlandia did not act as a colonization route for plants between South America and the Antilles. Further studies on Caribbean plant dispersal at the species and population levels will be required to reveal finer-scale biogeographic patterns and mechanisms.
Data from: Multi-locus phylogeny of lethal amanitas: implications for species diversity and historical biogeography
Background: Lethal amanitas (Amanita section Phalloideae) are a group of wild, fatal mushrooms causing many poisoning cases worldwide. However, the diversity and evolutionary history of these lethal mushrooms remain poorly known due to the limited sampling and insufficient gene fragments employed for phylogenetic analyses. In this study, five gene loci (nrLSU, ITS, rpb2, ef1-α and β-tubulin) with a widely geographic sampling from East and South Asia, Europe, North and Central America, South Africa and Australia were analysed with maximum-likelihood, maximum-parsimony and Bayesian inference methods. Biochemical analyses were also conducted with intention to detect amatoxins and phalloidin in 14 representative samples. Result: Lethal amanitas were robustly supported to be a monophyletic group after excluding five species that were provisionally defined as lethal amanitas based on morphological studies. In lethal amanitas, 28 phylogenetic species were recognised by integrating molecular phylogenetic analyses with morphological studies, and 14 of them represented putatively new species. The biochemical analyses indicated a single origin of cyclic peptide toxins (amatoxins and phalloidin) within Amanita and suggested that this kind of toxins seemed to be a synapomorphy of lethal amanitas. Molecular dating through BEAST and biogeographic analyses with LAGRANGE and RASP indicated that lethal amanitas most likely originated in the Palaeotropics with the present crown group dated around 64.92 Mya in the early Paleocene, and the East Asia–eastern North America or Eurasia–North America–Central America disjunct distribution patterns were primarily established during the middle Oligocene to Miocene. Conclusion: The cryptic diversity found in this study indicates that the species diversity of lethal amanitas is strongly underestimated under the current taxonomy. The intercontinental sister species or sister groups relationships among East Asia and eastern North America or Eurasia–North America–Central America within lethal amanitas are best explained by the diversification model of Palaeotropical origin, dispersal via the Bering Land Bridge, followed by regional vicariance speciation resulting from climate change during the middle Oligocene to the present. These findings indicate the importance of both dispersal and vicariance in shaping the intercontinental distributions of these ectomycorrhizal fungi.
FIGURE 1 in Crozetia Davies (Diptera: Simuliidae): redescription of Cr. crozetensis, Cr. seguyi, number of larval instars, phylogenetic relationships and historical biogeography
FIGURE 1. Geographic position of the Crozet Archipelago. (Adapted from Carroll 2001)
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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.