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409 results for “molecular genetics”
FIGURE 4 in Assessment of SCoT and ISSR molecular markers in genetic diversity of rigid ryegrass (Lolium rigidum Gaud.) in Iran
FIGURE 4. STRUCTURE analysis of L. rigidum populations (A: the relationship between k and Delta k; the grouping based on k=18 (top) and k=3 (below) (The population code is according to Table 1).
FIGURE 4 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 4. PCA plot of Salicornia persica populations based on morphological characters. Numbers are according to Table 1.
FIGURE 3 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 3. PCoA plot of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
FIGURE 2 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 2. WARD tree of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
Distribution. Based on molecular vouchers it occurs in E Zambia, Malawi, and Tanzania; records from N Mozambique, Zimbabwe, and N South Africa lack genetic verification, but are included here. in Muridae
Distribution. Based on molecular vouchers it occurs in E Zambia, Malawi, and Tanzania; records from N Mozambique, Zimbabwe, and N South Africa lack genetic verification, but are included here.
Lophuromys stanley: is member of the L. flavopunctatus species complex and was named during partial revision of the L. aguilus species complex. It is characterized by craniometric and genetic character-istics; its skull proportions are similar to L. laticeps, and molecularly, it is similar to L. margarettae and L. zena (cytochrome-b). Lophuromys stanleyi is one of four endemic species in the Rwenzori Mountains diversity hotspot. Monotypic. Distribution. Rwenzori Mts, E DR Congo and SW Uganda. Descriptive notes. Head-body 113-126 mm, tail 40-80 mm, ear 16-19 mm, hindfoot 22-24 mm; weight 36-55 g. The Rwenzori Brush-furred Rat has a speckled pelage similar to other speciesin the L. flavopunctatus species complex. Tail is short, 50-60% of head-body length. Habitat. Poorly known, but type specimen was collected at an elevation of 3700 m. Food and Feeding. No information. Breeding. No information. Activity patterns. No information. in Muridae
Lophuromys stanley: is member of the L. flavopunctatus species complex and was named during partial revision of the L. aguilus species complex. It is characterized by craniometric and genetic character-istics; its skull proportions are similar to L. laticeps, and molecularly, it is similar to L. margarettae and L. zena (cytochrome-b). Lophuromys stanleyi is one of four endemic species in the Rwenzori Mountains diversity hotspot. Monotypic. Distribution. Rwenzori Mts, E DR Congo and SW Uganda. Descriptive notes. Head-body 113-126 mm, tail 40-80 mm, ear 16-19 mm, hindfoot 22-24 mm; weight 36-55 g. The Rwenzori Brush-furred Rat has a speckled pelage similar to other speciesin the L. flavopunctatus species complex. Tail is short, 50-60% of head-body length. Habitat. Poorly known, but type specimen was collected at an elevation of 3700 m. Food and Feeding. No information. Breeding. No information. Activity patterns. No information.
Spatio-temporal dynamics of genetic variation at the quantitative and molecular levels within a natural Arabidopsis thaliana population
<p><span>Evolutionary change begins at the population scale. Therefore, understanding adaptive variation requires the identification of the factors maintaining and shaping standing genetic variation at the within-population level. Spatial and temporal environmental heterogeneity represent ecological drivers of within-population genetic variation, determining the evolutionary trajectory of populations along with random processes. Here, we focused on the effects of </span><span>spatio-temporal heterogeneity on quantitative and molecular variation in a natural population of the annual plant <em>Arabidopsis thaliana</em>.</span></p> <p><span>We sampled 1,093 individuals from a Spanish <em>A. thaliana </em>population across an area of 7.4 ha for 10 years (2012-2021). Based on a sample of 279 maternal lines, we estimated spatio-temporal variation in life-history traits and fitness from a common garden experiment. We genotyped 884 individuals with nuclear microsatellites to estimate spatio-temporal variation in genetic diversity. We assessed spatial patterns by estimating spatial autocorrelation of traits and fine-scale genetic structure. We analyzed the relationships between phenotypic variation, geographic location and genetic relatedness, as well as the effects of environmental suitability and genetic rarity on phenotypic variation. </span></p> <p><span>The common garden experiment indicated that there was more temporal than spatial variation in life-history traits and fitness. Despite the differences among years, genetic distance in ecologically relevant traits (e.g. flowering time) tended to be positively correlated to genetic distance among maternal lines, whilst isolation by distance was less important. Genetic diversity exhibited significant spatial structure at short distances, which were consistent among years. Finally, genetic rarity, and not environmental suitability, accounted for genetic variation in life-history traits.</span></p> <p><span>Synthesis. Our study highlighted the importance of repeated sampling to detect the large amount of genetic diversity at the quantitative and molecular levels that a single <em>A. thaliana</em> population can harbor. Overall, population genetic attributes estimated from our long-term monitoring scheme (genetic relatedness and genetic rarity), rather than biological (dispersal) or ecological (vegetation types and environmental suitability) factors, emerged as the most important drivers of within-population structure of phenotypic variation in <em>A. thaliana.</em></span></p>
FIGURE 4 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE 4: WARD tree of SCoT data revealing species delimitation in the Delphinium sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum.
FIGURE. 3 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE. 3. Electrophoresis gel of studied ecotypes from DNA fragments produced by SCoT-15. sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum. L = Ladder 100 bp,
FIGURE 2 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE 2: PCA plot of morphological characters revealing species delimitation in the Delphinium species; sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum.
FIGURE. 1 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE. 1. Map of Iran shows the collection sites and provinces where Delphinium species were obtained for this study; sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida
FIGURE 1 in Molecular genetics of Simulium (Wilhelmia) equinum (Linnaeus) (Diptera: Simuliidae) from West Siberia
FIGURE 1. The maximum likelihood phylogenetic tree (T92+G distances) for the COI DNA fragment for specimens sequenced in this study and for S. equinum and S. paraequinum from the DNA database. The branches, which do not include specimens from the Novosibirsk vicinity, were compressed. It was performed with 1000 iterations of bootstrap. The bootstrap values (percentages) are shown at the base of the branches (values less than 50% are not displayed).
FIGURE 2 in Molecular genetics of Simulium (Wilhelmia) equinum (Linnaeus) (Diptera: Simuliidae) from West Siberia
FIGURE 2. The typical electropherograms of the COI gene fragment restriction products of the black flies. A. BstF5 I enzyme, B. BspAC I enzyme (incomplete restriction). Lane 1: 100bp+1.5+3kb DNA marker; lane 6—the Finland-Turkish Branch; lanes 2–5, 7 and 8—the Novosibirsk Branch. Fragments less than 100 bp are not seen.
FIGURE 2 in Molecular investigation of the intra-specific genetic variation in Plantago ovata Forssk. (Plantaginaceae): An insight into potential ancestral area distribution and probable time of dispersal versus vicariance events
FIGURE 2 Combined RASP and chronological tree of BEAST for P. ovata accessions (The scale numbers are in MY).
FIGURE1 in Molecular investigation of the intra-specific genetic variation in Plantago ovata Forssk. (Plantaginaceae): An insight into potential ancestral area distribution and probable time of dispersal versus vicariance events
FIGURE1 TCS network of the studied P. ovata plants based on ITS sequences showing a higher level of nucleotide replacement within the Asiatic samples (Hatch marks indicate the number of mutations).
Molecular and quantitative genetic variation within and between populations of the declining grassland species Saxifraga granulata
<p class="MsoNormal"><span>Formerly common plant species are expected to be particularly susceptible to recent habitat fragmentation. We studied the population genetics of 19 recently fragmented <em>Saxifraga granulata</em> populations (max. distance 61 km) in Luxembourg and neighbouring Germany using RAPD markers and a common garden experiment. We assessed (1) the relationships between plant fitness, quantitative genetic variation, molecular genetic variation and population size, and (2) the relative importance of genetic drift and selection in shaping genetic variation. Molecular genetic diversity was high but did not correlate with population size, habitat conditions or with plant performance. Genetic differentiation was low (<em>F</em><sub>ST</sub> = 0.079 ± 0.135) and there was no isolation by distance. Longevity, clonality and the long-lived seed bank of <em>S. granulata</em> may have prevented strong genetic erosion and genetic differentiation among populations. H</span><span>owever, genetic distinctness increased with decreasing genetic diversity indicating that random genetic drift occurred in the studied populations. Quantitative and molecular gen</span><span>etic variation were correlated and their differentiation (<em>Q</em><sub>ST </sub>vs. <em>F</em><sub>ST</sub>) among <em>S. granulata</em> populations was similar, suggesting that mainly random processes have shaped the quantitative genetic differentiation among populations. However, pairwise quantitative genetic distances increased with geographic and climatic distances, even when adjusted for molecular genetic distances, indicating diversifying selection. Our results indicate that long-lived clonal species may be buffered at least temporarily against the negative effects of fragmentation. The relationship between quantitative genetic and geographic distance may be a more sensitive indicator of selection than <em>Q</em><sub>ST</sub> - <em>F</em><sub>ST</sub> differences.</span></p>
Fig. 3. The genetic relatedness matrix summarising similarities and differences among the 90 in Morphological and molecular evidence refute a broad circumscription for Pultenaea glabra (Fabaceae: Mirbelieae), with implications for taxonomy, biogeography, and conservation
Fig. 3. The genetic relatedness matrix summarising similarities and differences among the 90 individuals included in the final, filtered dataset containing 2452 SNPs.
Molecular screening and genetic diversity of tick-borne pathogens associated with dogs and livestock ticks in Egypt
Open the record for dataset details and reuse information.
Figs 1–2 in Molecular genetic confirmation of the subspecies status of blues Agriades orbitulus pheretimus (Staudinger, 1892) and A. orbitulus jugnei Churkin, 2004 (Lepidoptera: Lycaenidae: Polyommatinae)
Figs 1–2. Agriades orbitulus ssp.: ML-cladogram for DNA sequences: 1 — COI; 2 — ITS2. Рис. 1–2. Agriades orbitulus ssp.: ML-кладограмма длЯ ДНК сиквенсов: 1 — COI; 2 — ITS2.
FIGURE 9 in Diversity of Tropidurus (Squamata: Tropiduridae) in Paraguay-an integrative taxonomic approach based on morphological and molecular genetic evidence
FIGURE 9. Dextral lateral views of specimens of T. catalanensis (A, SMF 100093) indicating inguinal (left arrow) and axillary (right arrow) folds, compared with T. etheridgei (B, SMF 87389), which lacks these folds.
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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.