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185 results for “Multigene”
A toolkit for precise, multigene control in Saccharomyces cerevisiae
<p>Systems that allow researchers to precisely control the expression of genes are fundamental to biological research, biotechnology, and synthetic biology. However, few inducible gene expression systems exist that can enable simultaneous, multi-gene control in the important model organism and chassis, <em>Saccharomyces cerevisiae</em>. Here, we repurposed ligand binding domains (LBDs) from mammalian Type I nuclear receptors to establish a family of up to five orthogonal synthetic gene expression systems in yeast. Our systems enable tight, independent, multi-gene control through the addition of inert hormones, and are capable of driving robust gene expression outputs. As a proof-of-principle, we placed expression of four enzymes from the violacein biosynthetic pathway under independent expression control to selectively route pathway flux. Our results establish a modular, versatile, and potentially expandable toolkit for multidimensional control of gene expression in yeast that can be used to construct and control naturally-occurring and synthetic gene networks.</p>
APPENDIX 1 in Vittaliana mangrovei Devadatha, Nikita, A.Baghela & V.V.Sarma, gen. nov, sp. nov. (Phaeosphaeriaceae), from mangroves near Pondicherry (India), based on morphology and multigene phylogeny
APPENDIX 1. — Complementary authorship for cited taxa
FIG. 1 in Vittaliana mangrovei Devadatha, Nikita, A.Baghela & V.V.Sarma, gen. nov, sp. nov. (Phaeosphaeriaceae), from mangroves near Pondicherry (India), based on morphology and multigene phylogeny
FIG. 1. — Continuation.
APPENDIX 1 in Vittaliana mangrovei Devadatha, Nikita, A.Baghela & V.V.Sarma, gen. nov, sp. nov. (Phaeosphaeriaceae), from mangroves near Pondicherry (India), based on morphology and multigene phylogeny
APPENDIX 1. — Continuation.
FIGURE 7 in Multigene phylogeny reveals the ribbed shell morphotypes in the land snail genus Sarika (Eupulmonata: Ariophantidae), with description of two new species from Thailand and Myanmar
FIGURE 7 Shell and body variation in Sarika siamensis.
Evaluating Whether Integration of Prognostic and Predictive Algorithms Into Routine Clinical Practice Effect Whether Oncologists Order Multigene Assays in Patients With Early Stage Breast Cancer
ClinicalTrials.gov study NCT04131933. IPD Sharing: Not stated. Countries: 1. Publications: 4.
A toolkit for precise, multigene control in Saccharomyces cerevisiae
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Primary ciliary dyskinesia multigene NGS diagnostic testing in Cyprus
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New non-native pseudocryptic Cyclorhipidion species (Coleoptera: Curculionidae: Scolytinae: Xyleborini) found in the United States as revealed in a multigene phylogeny
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Data from: A multigene molecular assessment of cryptic biodiversity in the iconic freshwater blackfishes (Teleostei: Percichthyidae: Gadopsis) of south-eastern Australia
Freshwater biodiversity is under ever increasing threat from human activities, and its conservation and management require a sound knowledge of species-level taxonomy. Cryptic biodiversity is a common feature for aquatic systems, particularly in Australia, where recent genetic assessments suggest that the actual number of freshwater fish species may be considerably higher than currently listed. The freshwater blackfishes (genus Gadopsis) are an iconic group in south-eastern Australia and, in combination with their broad, naturally divided distribution and biological attributes that might limit dispersal, as well as ongoing taxonomic uncertainty, they comprise an ideal study group for assessing cryptic biodiversity. We used a multigene molecular assessment including both nuclear (51 allozyme loci; two S7 introns) and matrilineal markers (cytb) to assess species boundaries and broad genetic substructure within freshwater blackfishes. Range-wide examination demonstrates the presence of at least six candidate species across two nominal taxa, Gadopsis marmoratus and Gadopsis bispinosus. Phylogeographical patterns often aligned to purported biogeographical provinces but occasionally reflected more restricted and unexpected relationships. We highlight key issues with taxonomy, conservation, and management for a species group in a highly modified region.
FIGURE 1 in Effectiveness of multigene analysis for associating dimorphic partners in flat wasps (Hymenoptera, Bethylidae, Dissomphalus)
FIGURE 1: Bayesian phylogram of Dissomphalus using COI and 28S genes. Posterior probabilities are drawn near the nodes.
FIGURE 3 in Effectiveness of multigene analysis for associating dimorphic partners in flat wasps (Hymenoptera, Bethylidae, Dissomphalus)
FIGURE 3: Dissomphalus verus, female.A. Head, dorsal view; B. Head, frontal view; C. Mesosoma, dorsal view; D. Mesosoma, lateral view. Scale bars = 200 µm.
FIGURE 2 in Effectiveness of multigene analysis for associating dimorphic partners in flat wasps (Hymenoptera, Bethylidae, Dissomphalus)
FIGURE 2: Bayesian phylogram of Dissomphalus using ITS2. Posterior probabilities are drawn near the nodes.
Figure 4 in Revision of the higher taxonomy of Neotropical freshwater crabs of the family Pseudothelphusidae, based on multigene and morphological analyses
Figure 4. Morphological traits of the first male gonopod (G1) of some representative species of Pseudothelphusoidea. A, Epiloboceridae: Epilobocera cubensis Stimpson, 1860 (right G1, mesial view SMF 3880). B–I, Pseudothelphusidae. B, Strengerianinae: Chaceus curimanensis Campos & Valencia, 2004 (left G1, caudalmesial view, INPA 1488). C, Hypolobocerinae: Hypolobocera rathbunae Pretzmann, 1968 (right G1, caudal view, MZUSP 6383). D, Guinotinae: Guinotia dentata Latreille, 1825 (left G1, caudalmesial view, INPA 1445). E, Kingsleyinae: Kingsleya gustavoi Magalhães, 2005 (left G1, caudal view, holotype, INPA 1320, reproduced from Magalhães, 2005). F, Ptychophallinae: Ptychophallus tristani (Rathbun, 1896) (left G 1, caudoalmesial view, holotype, USNM 19047, reproduced from Magalhães et al., 2015). G, Potamocarcininae: Potamocarcinus armatus H. Milne Edwards, 1853 (left G1, mesial view, INPA 2123). H, Raddausinae, Raddaus bocourti (A. Milne-Edwards, 1866) (left G1, mesial view, INPA 2020). I, Pseudothelphusinae: Pseudothelphusa americana de Saussure, 1857 (right G1, mesial view, syntype, MHNGenève uncatalogued). Scale bars = 1 mm.
Figure 1. Bayesian maximum clade credibility tree obtained for 32 in Revision of the higher taxonomy of Neotropical freshwater crabs of the family Pseudothelphusidae, based on multigene and morphological analyses
Figure 1. Bayesian maximum clade credibility tree obtained for 32 genera of the superfamily Pseudothelphusoidea. Values at nodes represent bootstrap values for the Maximum Likelihood analysis (above branches) and posterior probabilities (below branches).
Figure 3 in Revision of the higher taxonomy of Neotropical freshwater crabs of the family Pseudothelphusidae, based on multigene and morphological analyses
Figure 3. Distribution areas of the Pseudothelphusoidea, by families and subfamilies, in the American continent.
Figure 3 in The first comprehensive, multigene molecular phylogeny for big-headed flies (Diptera: Pipunculidae)
Figure 3. Bayesian phylogeny. Numbers on nodes refer to posterior probabilities. Specimen identifiers are included with species names for repeatability. The yellow block includes Nephrocerinae and Protonephrocerinae. Pink is Chalarinae. Blue is Microcephalopsini (part of Pipunculinae). Blue-green is Pipunculini (Pipunculinae). Green (continued from tree on left) is Tomosvaryellini (Pipunculinae). Red dots indicate paraphyly.
Figure 2 in The first comprehensive, multigene molecular phylogeny for big-headed flies (Diptera: Pipunculidae)
Figure 2. Maximum likelihood phylogeny. Numbers on nodes are bootstrap supports based on 1000 replicates. Specimen identifiers are included with species names for repeatability.The yellow block includes Nephrocerinae and Protonephrocerinae. Pink is Chalarinae. Blue is Microcephalopsini (part of Pipunculinae). Blue-green is Pipunculini (Pipunculinae). Green (continued from tree on left) is Tomosvaryellini (Pipunculinae). Red dots indicate paraphyly.
Figure 1. Pipunculidae diversity. A in The first comprehensive, multigene molecular phylogeny for big-headed flies (Diptera: Pipunculidae)
Figure 1. Pipunculidae diversity. A, Chalarus sp. (Fergus, Ontario, Canada, photo by S. A. Marshall); B, Eudorylas sp. (photo by S. A. Marshall); C, Tomosvaryella sp. (South-west Research Station, Arizona, USA, photo by S. A. Marshall); D, undescribed genus (debu00179321, photo by S. A. Marshall); E, Nephrocerus acanthostylus Skevington, 2005 (Mount Rigaud, Quebec, Canada, photo by J. H. Skevington); F, Protonephrocerus flavipilus (Chile; illustration by J. Hsuing); G, Microcephalops sp. (Singapore, photo by R. Meier).
FIGURE 4 in Phylogenetic position of Aerumnosa Mohrig (Diptera, Sciaridae) as revealed by multigene analysis, with the description of four new Oriental species
FIGURE 4. Maximum likelihood hypothesis for relationships among selected taxa of Sciaridae (Diptera) based on DNA sequence data (18S, 28S, 16S, and COI), 4,338 characters. Support numbers refer to bootstrap values (BV) over 50. The photograph (by J. Ševčík) shows a representative of Sciaridae, Sciara hemerobioides (Scopoli).
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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.