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23 results for “Dominant factor”
Changes in multiple environmental factors additively enhance the dominance of an exotic plant with a novel trade-off pattern
<p>1. Whether global changes impact native and exotic species differently is unclear, because the changes may favour both native and exotic species over competitors. Previous studies have mainly focused on the separate effects of the different environmental changes, but plant communities are influenced by changes in multiple environmental factors, and it is still unclear whether native and exotic species respond similarly to the combined effects of these factors.</p> <p>2. We hypothesized that differences in interspecific trade-offs between native and exotic species could lead to the dominance of exotic species when the species are simultaneously subjected to multiple environmental changes.</p> <p>3. Using coastal saltmarsh plant communities as the study system, we experimentally manipulated flooding and nutrient enrichment, examined the interspecific trade-offs between competitiveness and stress tolerance for two native and one exotic species, and explored the combined effect of the two environmental changes on both native–native and native–exotic species interactions.</p> <p>4. We found that flooding and nutrient enrichment oppositely affected native–native species interactions but additively affected native–exotic species interactions. The two factors together resulted in no net change in the relative advantages between the two native species but enhanced the dominance of the exotic species over the native species. This disparity occurred because the exotic species was not subject to the interspecific trade-off between competitiveness and stress tolerance that constrained the native species.</p> <p>5. <i><b>Synthesis</b></i>. Our results suggest that changes in multiple environmental factors favour exotic species because of evolutionary novel trade-off patterns. Mechanisms underlying species coexistence in the invaded community such as interspecific trade-offs should be considered when researchers attempt to predict the effects of global changes on biological invasions.</p>
A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
<p>Few genetically dominant mutations involved in human disease have been fully explained at the molecular level. In cases where the mutant gene encodes a transcription factor, the dominant-negative mode of action of the mutant protein is particularly poorly understood. Here, we studied the genome-wide mechanism underlying a dominant-negative form of the SOX18 transcription factor (SOX18<sup>RaOp</sup>) responsible for both the classical mouse mutant <u>Ra</u>gged <u>Op</u>ossum and the human genetic disorder Hypotrichosis-Lymphedema-Telangiectasia-Renal Syndrome. Combining three single-molecule imaging assays in living cells together with genomics and proteomics analysis, we found that SOX18<sup>RaOp</sup> disrupts the system through an accumulation of molecular interferences which impair several functional properties of the wild-type SOX18 protein, including its target gene selection process. The dominant-negative effect is further amplified by poisoning the interactome of its wild-type counterpart, which perturbs regulatory nodes such as SOX7 and MEF2C. Our findings explain in unprecedented detail the multi-layered process that underpins the molecular aetiology of dominant-negative transcription factor function.</p>
A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity
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Changes in multiple environmental factors additively enhance the dominance of an exotic plant with a novel trade-off pattern
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Data from: Geography and site-specific factors, rather than recent climate, dominated Spanish wintering bird communities
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Airborne pollen patterns and their relationship with meteorological factors in the Betula microphylla-dominated wetland of Ebinur Lake, Xinjiang, China
<p>Airborne pollen concentrations and meteorological data.</p>
Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors
<ol> <li>Many leaf traits strongly vary with tree size and environmental factors, but the importance of these factors to intraspecific variations of leaf traits in forest trees have rarely been <a><span>simultaneously</span></a> evaluated.</li> <li>We measured needle longevity and specific leaf area (SLA) and nitrogen (N) content of every needle age (0 to 4 year old) for 65 individuals with 0.3-100 cm diameter at breast height (DBH) for an evergreen coniferous species, <i>Pinus koraiensis</i> Sieb. et Zucc., in Northeast China. We <a><span>simultaneously</span></a> evaluated effects of tree size (DBH or tree height) and environment factors (light intensity, soil N content and water availability) on the needle longevity, SLA, foliage N content as well as the slopes of regressions of SLA and foliage N content against needle age.</li> <li>All of the studied leaf traits and slopes of regressions of SLA and foliage N content against needle age were significantly related to tree size. Tree height had a greater impact on SLA and area-based leaf N content (N<sub>area</sub>), whereas DBH was more important for needle longevity and mass-based leaf N content (N<sub>mass</sub>). The environment variables, light intensity, soil N content and water availability, were rather minor factors for trait variations compared with tree size. Significant influences of light intensity were found only on needle longevity, and soil N and water availability had no effects on the leaf traits.</li> <li>Our study clearly showed that tree size is an important driver of intraspecific variations in the key leaf traits of <i>Pinus koraiensis</i> in a natural forest. We also emphasize the importance of DBH or tree height varies depending on leaf traits, suggesting various mechanisms of size effects on the intraspecific variations in leaf traits. We suggest that ecological significance of leaf trait variations needs reconsideration incorporating tree size effect.</li> </ol>
Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neutral network method
<p><i><span>Aims:</span></i> This study focused on the applicability of back-propagation (BP) neural networks in simulating sap flow (SF) using meteorological factors and a phenological index (<i><span>PI</span></i>) for <i><span>Liquidambar formosana</span></i><span>,</span> a deciduous broad-leaf tree species in subtropical China, and thus providing a useful and promising alternative to traditional methods for transpiration prediction.</p> <p><i><span>Methods: </span></i>Three-layered BP models with an architecture 4-10-1 <span>(four neurons in the input layer, ten neurons in the hidden layer and one neuron in the output layer) </span>were trained and tested using the Levenberg-Marquardt (LM) algorithm based on in situ observations of SF and concurrent microclimate at the Qianyanzhou Ecological Station, Jiangxi Province, Southeast China. The model performance was verified with testing data not used in model development.</p> <p><i><span>Results: </span></i>The BP models with eight input combinations proved a satisfactory fit: the determination coefficients (<i><span>R</span></i><sup><span>2</span></sup>) and fitting accuracies (<i><span>Acc</span></i>) (about 0.8 and 70%) were significantly higher than those of the multivariate linear regression (MLR) (about 0.5 and 50%), indicating their advantage in solving complex nonlinear problems involved in transpiration. In addition, the BP models showed a bit better performance by adding <i><span>PI</span></i><i> </i><span>to</span> the input family. The best BP model was achieved taking air temperature (<i><span>T</span></i><sub><span>a</span></sub>), relative humidity (<i><span>RH</span></i>), average net radiation (<i><span>ANR</span></i>) and <i><span>PI</span></i> as the input and sap flux density (<i><span>v</span></i><sub><span>s</span></sub>) as the output, with maximum <i><span>R</span></i><sup><span>2</span></sup> and <i><span>Acc</span></i> as high as 0.95 and 90%, respectively.</p> <p><i><span>Conclusions: </span></i><span>The</span><i> </i><span>BP</span><i> </i><span>models with input combination of </span><i><span>T</span></i><sub><span>a</span></sub><sub><span>, </span></sub><i><span>RH, ANR </span></i><span>and</span><i><span> PI </span></i><span>mirrored very well measured daily variations in </span><i><span>v</span></i><sub><span>s</span></sub>. The results could be used to fine-tune sap flow estimation by <i><span>Liquidambar formosana</span></i>, and thus shed light on the eco-hydrological process related to transpiration for deciduous broad-leaf trees.</p>
Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors
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Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neutral network method
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On the dominant factor controlling seasonal hydrological forecast skill in China
<p>This is the open-access material for Paper water-228727, which is used to identify the dominant factor controlling seasonal hydrological forecast skill over China. This material contains three files, namely DATA.rar, CODE.rar, and README.txt. The first two files are archived folders with the dataset, codes and scripts for each figure of this paper inclusive. The README.txt gives a detailed introduction of the file structures within each archive (i.e., DATA and CODE). </p> <p> </p>
Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels.
GEO Series GSE303632. Ictidomys tridecemlineatus; Mus musculus. 74 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
The Candida albicans reference strain SC5314 contains a rare, dominant allele of the transcription factor Rob1 that modulates biofilm formation and oral commensalism
GEO Series GSE238051. Candida albicans. 12 samples. Type: Expression profiling by high throughput sequencing.
The dominant and poor penetrant phenotypes of the maize mutation Unstable factor for orange1 are caused by DNA methylation changes at a linked transposon
GEO Series GSE117782. Zea mays. 33 samples. Type: Expression profiling by high throughput sequencing.
Dominant-negative HNF1α mutant promotes liver steatosis and inflammation by regulating hepatic complement factor D
GEO Series GSE224953. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels. [scRNA-Seq]
GEO Series GSE303629. Ictidomys tridecemlineatus. 15 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Investigation of altered transcripts in presence of dominant-negative transcription factor
GEO Series GSE74583. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels. [scATAC-Seq]
GEO Series GSE303986. Ictidomys tridecemlineatus. 23 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Male-dominant activation of rat renal organic anion transporter 1 (Oat1) and 3 (Oat3) expression by transcription factor BCL6
GEO Series GSE34565. Rattus norvegicus. 8 samples. Type: Expression profiling by array.
Corrupted DNA-binding specificity and ectopic transcription underpin dominant neomorphic mutations in KLF/SP transcription factors
GEO Series GSE98801. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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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.