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963 results for “Gobies”
Data from: Invasion strategies in round goby (Neogobius melanostomus): is bigger really better?
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Data from: Multi-locus sequence data reveal a new species of coral reef goby (Teleostei: Gobiidae: Eviota), and evidence of Pliocene vicariance across the Coral Triangle
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Data from: Genetic patterns across an invasion's history: a test of change versus stasis for the Eurasian round goby in North America
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Hidden treasure of the Gobi: understanding how water limits range use of khulan in the Mongolian Gobi
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Data from: A new mesophotic goby, Palatogobius incendius (Teleostei: Gobiidae), and the first record of invasive lionfish preying on undescribed biodiversity
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Data from: Status of the mountain ungulate prey of the endangered snow leopard Panthera uncia in the Tost Local Protected Area, South Gobi, Mongolia
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Data from: Intertidal gobies acclimate rate of luminance change for background matching with shifts in seasonal temperature
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Data: Interacting effects of short-term and long-term noise exposure on anti-predator behaviour: A field experiment with sand gobies
<p>Data on anti-predator behaviour of sand gobies during trials with exposure to either boat noise or a silent control. Gobies were living in a range of quiet to noisy habitats.</p>
Figure 4 from: Baasanmunkh S, Nyamgerel N, Bayarmaa G-A, Oyuntsetseg B, Oyundelger K, Choi HJ (2020) A new record of critically endangered Saussurea bogedaensis (Asteraceae) from Dzungarian Gobi, Mongolia. PhytoKeys 160: 109-121. https://doi.org/10.3897/phytokeys.160.55603
Figure 4 Phylogenetic tree based on concatenated sequence alignments of nrDNA (ITS) and cpDNA (trnK, trnH-psbA, and rbcL) regions. Bayesian Inference (BI) posterior probability support values above 90% (bold), Maximum Likelihood (ML) and Maximum Parsimony (MP) bootstrap support values above 70% are shown in the branches in the following order BI/ML/MP. The new samples of S. bogedaensis and S. orgaadayi originated from Mongolia are in red and black bolds, respectively.
Figure 1 from: Baasanmunkh S, Nyamgerel N, Bayarmaa G-A, Oyuntsetseg B, Oyundelger K, Choi HJ (2020) A new record of critically endangered Saussurea bogedaensis (Asteraceae) from Dzungarian Gobi, Mongolia. PhytoKeys 160: 109-121. https://doi.org/10.3897/phytokeys.160.55603
Figure 1 Saussurea bogedaensis in Buduun Khargait river, Baitag Bogd Mt, Uyench sum, Khovd Province, Mongolia. A general habit in Baitag Bogd Mt, DzG region B fruiting C leaves D pappus E phyllaries. Photos: 28 July 2019, Sh. Baasanmunkh.
Figure 5 from: Baasanmunkh S, Nyamgerel N, Bayarmaa G-A, Oyuntsetseg B, Oyundelger K, Choi HJ (2020) A new record of critically endangered Saussurea bogedaensis (Asteraceae) from Dzungarian Gobi, Mongolia. PhytoKeys 160: 109-121. https://doi.org/10.3897/phytokeys.160.55603
Figure 5 Multiple sequence alignment of combined nr DNA (ITS) and cpDNA (trnK, trnH-psbA and rbcL) sequences. ITS region shows more differences than cpDNA regions amongst those closely related species. (*) – no differences found between species.
Figure 3 from: Baasanmunkh S, Nyamgerel N, Bayarmaa G-A, Oyuntsetseg B, Oyundelger K, Choi HJ (2020) A new record of critically endangered Saussurea bogedaensis (Asteraceae) from Dzungarian Gobi, Mongolia. PhytoKeys 160: 109-121. https://doi.org/10.3897/phytokeys.160.55603
Figure 3 Distribution of S. bogedaensis (red dots), S. involucrata (blue dots) and S. orgaadayi (green dots) in Mongolia, Russia and Chinese Tien-Shan Mts based on field surveys and herbarium materials as well as specimens from China based on the publications of Chen and Wang (2018) and Chen et al. (2019). Region numbers on the Mongolian map are phytogeographical regions according to Grubov (1982): 6 – Khovd, 7 – Mongolian Altai, 10 – Depression of Great Lakes and 14 – Dzungarian Gobi.
Figure 2 from: Baasanmunkh S, Nyamgerel N, Bayarmaa G-A, Oyuntsetseg B, Oyundelger K, Choi HJ (2020) A new record of critically endangered Saussurea bogedaensis (Asteraceae) from Dzungarian Gobi, Mongolia. PhytoKeys 160: 109-121. https://doi.org/10.3897/phytokeys.160.55603
Figure 2 Saussurea orgaadayi in Khukh Nuur, Munkhkhairkhan sum, Khovd Province, Mongolia A general habit in Munkhkhairkhan Mt, MA region B fruiting C flowering D pappus E phyllaries. Photos: 29 July 2016, B. Oyuntsetseg (A, C) Sh. Baasanmunkh (B, D, E).
FIGURE 7 in Rhinogobius houheensis, a new species of freshwater goby (Teleostei: Gobiidae) from the Houhe National Nature Reserve, Hubei province, China
FIGURE 7. Sampling locality of Rhinogobius houheensis sp. nov.
FIGURE 13 in Checklist of gobies (Teleostei: Gobiidae) of the Mediterranean Sea and a key for species identification
FIGURE 13. Head canals with numerous extra pores in Deltentosteus species. Drawing by M. Kovačić.
FIGURE 28 in Checklist of gobies (Teleostei: Gobiidae) of the Mediterranean Sea and a key for species identification
FIGURE 28. Enlarged head pores of Gymnesigobius medits. Material stained. Photo by M. Kovačić.
FIGURE 9. Suborbital sensory papillae without row a in Checklist of gobies (Teleostei: Gobiidae) of the Mediterranean Sea and a key for species identification
FIGURE 9. Suborbital sensory papillae without row a below eye. Drawing by M. Kovačić.
Data from: Molecular signatures of lineage-specific adaptive evolution in a unique sea basin: the example of an anadromous goby Leucopsarion petersii
Climate changes on various time scales often shape genetic novelty and adaptive variation in many biotas. We explored molecular signatures of directional selection in populations of the ice goby Leucopsarion petersii inhabiting a unique sea basin, the Sea of Japan, where a wide variety of environments existed in the Pleistocene in relation to shifts in sea level by repeated glaciations. This species consisted of two historically allopatric lineages, the Japan Sea (JS) and Pacific Ocean (PO) lineages, and these have lived under contrasting marine environments that are expected to have imposed different selection regimes caused by past climatic and current oceanographic factors. We applied a limited genome-scan approach using seven candidate genes for phenotypic differences between two lineages in combination with 100 anonymous microsatellite loci. Neuropeptide Y (NPY) gene, which is an important regulator of food intake and potent orexigenic agent, and three anonymous microsatellites were identified as robust outliers, that is, candidate loci potentially under directional selection, by multiple divergence- and diversity-based outlier tests in comparisons focused on multiple populations of the JS vs. PO lineages. For these outlier loci, populations of the JS lineage had putative signals of selective sweeps. Additionally, real-time quantitative PCR analysis using fish reared in a common environment showed a higher expression level for NPY gene in the JS lineage. Thus, this study succeeded in identifying candidate genomic regions under selection across populations of the JS lineage and provided evidence for lineage-specific adaptive evolution in this unique sea basin.
Data from: Local adaptation despite high gene flow in the waterfall-climbing Hawaiian goby, Sicyopterus stimpsoni.
Environmental heterogeneity can promote the emergence of locally adapted phenotypes among subpopulations of a species, whereas gene flow can result in phenotypic and genotypic homogenization. For organisms like amphidromous fishes that change habitats during their life history, the balance between selection and migration can shift through ontogeny, making the likelihood of local adaptation difficult to predict. In Hawaiian waterfall-climbing gobies, it has been hypothesized that larval mixing during oceanic dispersal counters local adaptation to contrasting topographic features of streams, like slope gradient, that can select for predator avoidance or climbing ability in juvenile recruits. To test this hypothesis, we used morphological traits and neutral genetic markers to compare phenotypic and genotypic distributions in recruiting juveniles and adult subpopulations of the waterfall-climbing amphidromous goby, Sicyopterus stimpsoni, from the islands of Hawai'i and Kaua'i. We found that body shape is significantly different between adult subpopulations from streams with contrasting slopes and that trait divergence in recruiting juveniles tracked stream topography more so than morphological measures of adult subpopulation differentiation. Although no evidence of population genetic differentiation was observed among adult subpopulations, we observed low but significant levels of spatially and temporally variable genetic differentiation among juvenile cohorts, which correlated with morphological divergence. Such a pattern of genetic differentiation is consistent with chaotic genetic patchiness arising from variable sources of recruits to different streams. Thus, at least in S. stimpsoni, the combination of variation in settlement cohorts in space and time coupled with strong postsettlement selection on juveniles as they migrate upstream to adult habitats provides the opportunity for morphological adaptation to local stream environments despite high gene flow.
FIGURE 5 in Elacatinus lobeli, a new cleaning goby from Belize and Honduras
FIGURE 5. Elacatinus lobeli on the coral Colpophyllia natans, Belize (photograph by J.E. Randall).
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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.