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Figure 6. A in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 6. A. The phylum level in Bacteria (bar chart), the bacterial composition of the different samples was similar, while the distribution of each phylum varied in all samples. Based on the V3-V4 region of the 16S rRNA region. Bacterial communities at the phylum classification among the samples (pie chart), as a percentage of the total bacteria isolated from roots and leaves endophyte region. Based on the full-length 16S rRNA sequences. (B) The number of Actinobacteria among the samples. (C) The number of Proteobacteria among the samples. (D) The number of unclassified phyla among the samples. (E) The number of Firmicutes phyla among the samples. (F) The number of Cyanobacteria/Chloroplast among the samples. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica.
Figure 5 in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 5. Phylogenetic tree based on 16S rRNA gene sequences representing the diversity of endophytic bacterial communities associated with the leaves and roots from the desert medicinal plant Senna italica "at the Phylum level". The tree was constructed using the "one-click" mode in Phylogeny.fr.(Dereeper et al., 2008).
Figure 9 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 9. ELISA plate readings (O.D at 405nm) of leaf samples of transgenic lines (T1-T8) and control plants after 15 dpi.
Figure 7 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 7. PCR Products of the hpt gene from T0 transgenic plants. Lane 1-9 are transgenic. Lane 10, +ve control. Lane 11, control (untransformed) plant.
Figure 6. DNA bands from T0 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 6. DNA bands from T0 transgenic and Agro-infilterated plants. Lane 1-10, transgenic plants. Lane 11-13, agro-infilterated plants.
Figure 3 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 3. Symptoms development on propagative host plants after mechanical inoculation with ChiVMV isolate ATIPK. (a) N. tabacum showing mosaic, mottling and vein clearing (b) C. annum (cv. Loungi) displays the symptoms of mottling, mosaic, leaf deformation and vein clearing.
Figure 2 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 2. Symptoms of ChiVMV on chilli leaves collected from Islamabad. (a) Shows mottling and severe vein clearing and distortion. (b) Shows reduced leaf size with mottling and distortion.
Figure 2 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine
Figure 2. Median-joining network of GyrA (A), ParC (B) and ParE (C) of the haplotypes of fluoroquinolone resistant P. aeruginosa isolates. Each haplotype is represented by a circle. The asterisk (*) denotes the founder haplotype. The size of circle is relative to haplotype frequency. Bars indicate the number of nucleotide substitutions for GyrA (A), ParC (B) and ParE (C) sequences from fluoroquinolone resistant P. aeruginosa isolates recovered in Palestine.
Figure 3 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine
Figure 3. Nucleotide variation positions of GyrA (A), ParC (B) and ParE (C) genes among the studied fluoroquinolone resistant P. aeruginosa isolates according to the references from GenBank. Parsimony informative sites are shaded in light grey, while InDels are shaded in dark gray.
Figure 1 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine
Figure 1. Molecular phylogenetic analysis by Maximum Likelihood method based on the GyrA (A), ParC (B) and ParE (C) sequence from fluoroquinolone resistant P. aeruginosa isolated in Palestine. Reference sequences retrieved from Genbank for the GyrA (A), ParC (B) and ParE (C) genes were denoted by asterisks (*). Sequences from Palestine and reference sequences were used to construct the phylogenetic tree. Evolutionary analyses were conducted in MEGA6.
Figure 2 in Antiadhesion and antibiofilm potential of Fagonia indica from Cholistan desert against clinical multidrug resistant bacteria
Figure 2. Effect of sub-inhibitory concentrations of chloroform extract of Fagonia indica on bacterial attachment to polystyrene surfaces. Cells grown in the absence of extract served as control. Values are presented as mean + SE.
Figure 1 in Antiadhesion and antibiofilm potential of Fagonia indica from Cholistan desert against clinical multidrug resistant bacteria
Figure 1. Effect of chloroform extract of Fagonia indica on membrane protein leakage. Bradford method was used to monitor the effect of various concentrations on leakage of protein. Values are presented as mean + SE.
Fig. 10 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 10. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Paenibacillaceae. Strain: BT73. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 8 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 8. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Deinococcaceae. Strain: BT95. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 9 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 9. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Bacillaceae. Strain: BT94, BT96. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 7 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 7. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Hymenobacteraceae. Strain: BT99. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 6 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 6. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Cytophagaceae. Strain: BT100. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 4 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Micrococcaceae. Strains: BT53 and BT92. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 5 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 5. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Nocardioidaceae. Strains: BT84. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Fig. 3 in Eighteen unreported radiation-resistant bacterial species isolated from Korea in 2018
Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the family Microbacteriaceae. Strains: BT109, BT97, BT98, BT102, BT89, BT119 and BT82. Bootstrap values (>80%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
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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.