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Figure 9 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 9 Phylogeny based on cytochrome c oxidase subunit I (COI) of 28 sequences of five species of KeriVoUla from Thailand together with 37 sequences of 10 species from the South-east Asia in GenBank. Origin of the clade names are explained in the text: K. papillosa S and L after Anwarali et al. (2010), K. cf. lenis after Francis et al. (2010), K. lenis BN and PM refer to Borneo and Malaysia, respectively.
Figure 11 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 11 Distribution map of K. hardwickii (sensu lato) in Thailand. Black triangles: K. hardwickii A, black circles: K. hardwickii B, black squares: K. hardwickii C and black stars: locations where K. hardwickii A and K. hardwickii C are found sympatrically.
Figure 8 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 8 Variation in the morphology of the "flat-skull" type of K. hardwickii (K. hardwickii A and K. hardwickii B). (A) K. hardwickii A, PSUZC-MM2012.166,, Khao Luang National Park, Nakhon Si Thammarat Province; (B) K. hardwickii B, PSUZC-MM2011.17,, Khun Mae Ngai Suard Station, Chiang Dao Wildlife Sanctuary, Chiang Mai Province; (C) K. hardwickii A, PSUZC-MM2011.52,, Pa La-U Ranger Station, Kaeng Krachan National Park, Prachuap Khiri Khan Province; (D) K. hardwickii B, PSUZC-MM2005.201,, Hauy Nam Chan, Phu Laung Wildlife Sanctuary, Loei Province. Scale: 5 mm.
Figure 1 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 1 Localities in Thailand from which KeriVoUla specimens were examined; black symbols for visited localities; open symbols for museum specimens. For detail of location see Appendix 1.
Figure 5 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 5 Skull of seven species of KeriVoUla. (A) K. papillosa (K. papillosa C), PSUZC-MM2011.2,, Khao Chong Wildlife Education Centre, Khao Bantad Wildlife Sanctuary, Trang Province; (B) K. kachinensis, PSUZC-MM2007.243,, Phou Suan Sai National Park, Loei Province; (C) K. hardwickii ("domed-skull" type; K. hardwickii C), PSUZC-MM2012.160,, Phu Pha Phet Ranger Station, Khao Bantad Wildlife Sanctuary, Satun Province; (D) K. hardwickii ("flat-skulled" type; K. hardwickii A), PSUZC-MM2011.19,, Chiang Dao Wildlife Research Station, Chiang Mai Province; (E) – K. titania, PSUZC-MM2011.18,, Khun Mae Ngai Guard Station, Chiang Dao Wildlife Sanctuary, Chiang Mai Province; (F) K. pellUcida, PSUZC-MM2011.12,, Hala-Bala Wildlife Research Station, Narathiwat Province; (G) K. kraUensis, PSUZC-MM2013.25, , Hala-Bala Wildlife Research Station, Narathiwat Province; and (H) K. minUta, PSUZC-MM2011.5,, Hala-Bala Wildlife Research Station, Narathiwat Province. Scale: 5 mm.
Figure 3 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 3 Dorsal (left) and ventral (right) pelage of four species of KeriVoUla. (A) K. hardwickii C, PSUZC-MM2013.22,, Phu Pha Phet Ranger Station, Khao Bantad Wildlife Sanctuary, Satun Province; (B) K. pellUcida, PSUZC-MM2013.24,, Phu Pha Phet Ranger Station, Khao Bantad Wildlife Sanctuary, Satun Province; (C) K. kraUensis, PSUZC-MM2013.25,, Hala-Bala Wildlife Research Station, Narathiwat Province; (D) K. minUta, BD130825.3,, Phu Pha Phet Ranger Station, Khao Bantad Wildlife Sanctuary, Satun Province. No scale.
Figure 2 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 2 First and second principal components of the PCA computed on nine external measurements. Black diamonds: K. papillosa (sensu lato), open diamonds: K. kachinensis, black triangles: K. titania, grey triangles: K. hardwickii (sensu lato), open triangles: K. pellUcida, black circle: K. kraUensis and open circles: K. minUta.
Relationship between Bone Stability and Egg Production in Genetically Divergent Chicken Layer Lines
<p>Physiological parameters of chicken</p> <p>Feed consumption</p> <p>Egg production</p> <p>Bone stability</p> <p>Egg/Eggshell weight</p> <p>Egg quality</p>
Figure 6 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 6 Variation in skull morphology of K. papillosa. (A) K. papillosa A, HBWRS2010.3,, Khao Nam Khang National Park, Songkhla Province; (B) K. papillosa C, PSUZC-MM2011.10,, Hala-Bala Wildlife Research Station, Narathiwat Province; (C) K. papillosa C, PSUZC-MM2011.2,, Khao Chong Wildlife Education Centre, Khao Bantad Wildlife Sanctuary, Trang Province; (D) K. papillosa B, PSUZC-MM2008.57,, Pha Chi Wildlife Sanctuary, Ratchaburi Province; and (E) K. papillosa B, PSUZC- MM2011.53,, South Klom Luang Chumporn Wildlife Sanctuary, Ranong Province. Scale: 5 mm.
Figure 4 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 4 First and second principal components of the PCA computed on 12 cranial and dental measurements. Black diamonds: K. papillosa (sensu lato), open diamonds: K. kachinensis, black triangles: K. titania, grey triangles: K. hardwickii (sensu lato), open triangles: K. pellUcida, black circle: K. kraUensis and open circles: K. minUta.
Figure 10 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 10 Distribution map of K. papillosa (sensu lato) in Thailand. Black squares: K. papillosa A, black circles: K. papillosa B, black triangles: K. papillosa C and black star: location where the three taxa are found sympatrically.
FIG. 2 in How do young bats find suitable swarming and hibernation sites? Assessing the plausibility of the maternal guidance hypothesis using genetic maternity assignment for two European bat species
FIG. 2. Simulation (10,000 iterations) of how often mother-offspring pairs are expected to arrive on the same night by chance for M. daubentonii (top) and M. nattereri (bottom); the observed number of pairs arriving on the same night is denoted by the arrow
Data for: Invasion history of Lycium ferocissimum in Australia – the impact of admixture on genetic diversity and differentiation
<p class="MsoNormal"><strong><span>Aim:</span></strong><span> We investigated the invasion history of <em>Lycium ferocissimum</em>, a spine-covered shrub native to South Africa that has developed into a damaging invasive plant of undisturbed landscapes and pastures across southern and eastern Australia. In addition to identifying the provenance of the Australian plants, we tested for evidence of admixture, and contrasted genetic diversity and structuring across the native and introduced ranges.</span></p> <p class="MsoNormal"><strong><span>Location: </span></strong><span>Samples were collected across South Africa (24 localities) and Australia (26 localities).</span></p> <p class="MsoNormal"><strong><span>Methods:</span></strong><span> We used genotyping-by-sequencing (3,130 SNPs across 381 individuals) to assess population genetic structuring in <em>L. ferocissimum </em>across Australia and South Africa. Coalescent analyses were used to explicitly test contrasting invasion scenarios.</span></p> <p class="MsoNormal"><strong><span>Results:</span></strong><span> Clear geographic genetic structuring was detected across South Africa, with distinct clusters in the Eastern and Western Cape provinces. The <em>L. ferocissimum</em> plants in Australia form their own genetic cluster, with a similar level of genetic diversity as plants in South Africa. Coalescent analyses demonstrated that the lineage in Australia was formed by admixture between Eastern Cape and Western Cape plants, with analyses suggesting that plants from both African regions were originally introduced to South Australia. We detected little evidence of geographic genetic structure across Australia, although many of the populations were genetically distinct from one another.</span></p> <p class="MsoNormal"><strong><span>Main conclusions</span></strong><span>: Our results illustrate how admixture can result in genetically diverse and distinct invasive populations. The complex invasion history of <em>L. ferocissimum </em>in Australia poses particular challenges for biological control. We suggest potential biological control agents should be screened against admixed plants (in addition to plants from the Eastern and Western Cape) to test whether they provide effective control of the genetically distinct invasive lineage.</span></p>
Fig. 1 in Socio-spatial organization and kin structure in ocelots from integration of camera trapping and noninvasive genetics
Fig. 1.—Map of Barro Colorado Island, Panama, showing the locations of camera traps placed along trails and at ocelot (Leopardus pardalis) latrines.
Fig. 2 in Socio-spatial organization and kin structure in ocelots from integration of camera trapping and noninvasive genetics
Fig. 2.—Cumulative frequency distributions of association index values among pairs of male versus female ocelots (Leopardus pardalis) on Barro Colorado Island, Panama. Half-weight association index values represent the strength of spatiotemporal overlap between same-sex dyads based on how often they were photographed at the same camera trap within the same 30-day interval.
Fig. 4 in Socio-spatial organization and kin structure in ocelots from integration of camera trapping and noninvasive genetics
Fig. 4.—Relatedness of individual ocelots (Leopardus pardalis) on Barro Colorado Island, Panama, depending on sex and overlap of space use. Values shown are observed mean differences in relatedness between dyads of individual ocelots with overlapping space use (vertical bold lines) versus all dyads in the sampled population, along with the cumulative distribution of simulated differences from 1,000,000 randomly generated bootstrap replicates. Reference lines represent quantiles from the simulated distribution. A) All dyads, B) male-female dyads, C) male-male dyads, and D) female-female dyads.
Fig. 3 in Socio-spatial organization and kin structure in ocelots from integration of camera trapping and noninvasive genetics
Fig. 3.—Half-weight association index values between pairs of a) female and b) male ocelots (Leopardus pardalis) from Barro Colorado Island, Panama, shown in both matrix and graphical format. Values and line weights represent the strength (on a scale of 0–1) of spatiotemporal overlap between pairs of individuals based on how often they were photographed at the same camera trap during the same 30-day period. Asterisks represent associations and double asterisks represent dissociations that differed from random expectations (P <0.05).
Figure 7 in Morphology, genetics and echolocation calls of the genus Kerivoula (Chiroptera: Vespertilionidae: Kerivoulinae) in Thailand
Figure 7 Variation in morphology of the "domed-skull" type of K. hardwickii (K. hardwickii C). (A) PSUZC-MM2005. 204,, Ton Nga Chang Wildlife Sanctuary, Songkhla Province; (B) PSUZC- MM2012.161,, Khao Pra-Bang Kram Wildlife Sanctuary, Krabi Province; (C) PSUZC-MM2012.160,, Phu Pha Phet Ranger Station, Khao Bantad Wildlife Sanctuary, Satun Province; (D) PSUZC-MM2012.162,, Khao Pra-Bang Kram Wildlife Sanctuary, Krabi Province; and (E) PSUZC-MM2008.131,, Tarutao Island, Tarutao National Park, Satun Province. Scale: 5 mm.
Phylogeography and population genetic structure of the cardinal tetra (Paracheirodon axelrodi) in the Orinoco basin and Negro River (Amazon basin): evaluating connectivity and historical patterns of diversification
<p class="MsoNormal"><span class="Fuentedeprrafopredeter1"><span>The Neotropics contain one of the most diverse assemblages of freshwater fishes worldwide. Part of this diversity is shared between the Orinoco and Amazon basins. These basins have been separated for a long time due to the Vaupes Arch, rising between 10 - 11 Ma. T</span></span><span class="Fuentedeprrafopredeter1"><span>oday, there is only one permanent connection between the Orinoco and Negro </span></span><span class="Fuentedeprrafopredeter1"><span>(Amazon) </span></span><span class="Fuentedeprrafopredeter1"><span>basins, known as the Casiquiare Canal</span></span><span class="Fuentedeprrafopredeter1"><span>. </span></span><span class="Fuentedeprrafopredeter1"><span>However, alternative corridors allowing fish dispersion between both basins have been proposed. The cardinal tetra (<em>Paracheirodon axelrodi),</em> the most important fish in the ornamental world market, is distributed in both basins. Here we investigated </span></span><span class="Fuentedeprrafopredeter1"><em><span>P. axelrodi </span></em></span><span class="Fuentedeprrafopredeter1"><span>phylogeography, population structure, and potential routes of migration and connectivity between the two basins. A total of 468 bp of the mitochondrial gene (COI), 555 bp of the nuclear gene fragment (MYH6), and 8 microsatellite loci were analyzed. </span></span><span class="Fuentedeprrafopredeter1"><span>As a result, we found two major genetic clusters as the most likely scenario (K=2), but they were not discreetly distributed between basins. A gradient of genetic admixture was observed in Cucui and </span></span><span class="Fuentedeprrafopredeter1"><span>São</span></span><span class="Fuentedeprrafopredeter1"><span> Gabriel da Cachoeira, between the upper Negro River and the upper Orinoco. Samples from the middle-lower Negro River were highly structured. </span></span><span class="Fuentedeprrafopredeter1"><span>Cucui (Negro basin) was more similar to the Orinoco than to the rest of the Negro basin populations. </span></span><span class="Fuentedeprrafopredeter1"><span>However, substructure was also observed by the discriminant analysis, fixation indices and other hierarchichal structure analyses (K=3-6), showing three major geographic clusters: Orinoco, Cucui, and the remaining of the Negro basin. </span></span><span class="Fuentedeprrafopredeter1"><span>Unidirectional migration patterns were detected between basins: via Cucui toward Orinoco and via the remaining of the Negro basin toward Orinoco. Results from the Relaxed Random Walk analysis support a very recent origin of this species in the headwater Orinoco basin (Western Guiana Shield, at late Pleistocene) with a later rapid colonization of the remaining Orinoco basin and almost simultaneously the Negro River via Cucui, between 0.115 until about 0.001 Ma. Historical biogeography and population genetic patterns observed here for Cardinal tetra, seem to be better explained by river capture, physical, or ecological barriers than due to the geographic distance.</span></span></p>
Figure 3 in Well-known species, unexpected results: high genetic diversity in declining Vipera ursinii in central, eastern and southeastern Europe
Figure 3. Genetic relationship between locations calculated using Cavalli-Sforza and Edwards Dc distance (Cavalli-Sforza and Edwards, 1967) using the software POPULATIONS 1.2.28 (Langella, 1999). The distances were calculated with 5 microsatellite markers and branches with bootstrap support>40 were indicated.
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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.