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56 results for “Camellia sinensis”
Fig. 6 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 6. Regulation of lipid metabolisms under different SWCs. (A) Phospholipid metabolism, glycerolipid metabolism, and fatty acid biosynthesis, and the expression tendencies of corresponding differentially accumulated lipids. (B) Connection network of 16 DEGs and 30 differentially accumulated lipids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote closely correlated lipids. Colors from green to red in heatmaps represent the relative expression patterns of DEGs; colors from blue to pink represent the accumulated pattern of related metabolites. The compounds index in A and B are referred to in Supplementary Table S6-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ADH3, alcohol dehydrogenase 3; AFP1-like, ninja-family protein AFP1-like; ALA2_like, phospholipid-transporting ATPase 2; AOS, allene oxide synthase; CIPK5-like, CBL-interacting protein kinase 5-like; DAD1, phospholipase A(1) DAD1; DGK7-like, diacylglycerol kinase 7-like; GDSL-1, GDSL esterase/lipase At5g33370-like; GDSL-2, GDSL esterase/lipase At4g26790-like; GDSL-3, GDSL esterase/lipase 1-like; GDSL-4, GDSL esterase/lipase At1g33811; KCS-12/19-like, 3-ketoacyl-CoA synthase 12/19-like; LTP1-like, non-specific lipid-transfer protein 1-like; MGLL, caffeoylshikimate esterase-like, the isozyme gene of monoglyceride lipase; MTACP, acyl carrier protein; PL A1-Ibeta2, phospholipase A1-Ibeta2; PLD1-like, phospholipase D alpha 1-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 5. Underlying regulation of flavonoid biosynthesis under different SWCs. (A) Expressions of differentially accumulated flavonoids. (B) Underlying regulation mechanism of flavonoid biosynthesis pathway. (C) Connection network of 11 DEGs and 32 differentially accumulated flavonoids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote flavonoids. In B and C, the colors from green to red in the heatmap show the relative expression pattern of DEGs, and the colors from blue to pink represent the relative accumulated pattern of closely related metabolites. The compounds index in A and C are referred to in Supplementary Tables S5-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ANR, anthocyanidin reductase; ANS, anthocyanidin synthase; AS-like, hydroquinone glucosyltransferase-like; C, catechin; DFR, dihydroflavonol 4-reductase; EC, epicatechin; ECG, epicatechin gallate; EGCG, epigallocatechin gallate; FLS, flavonol synthase/flavanone 3-hydroxylase; GC, gallocatechin; LAR, leucoanthocyanidin reductase; PKSB, type III polyketide synthase B; UFGT, anthocyanidin 3-Oglucosyltransferase; UGT83A1, UDP-glycosyltransferase 83A1; UGT94P1, beta-D-glucosyl crocetin beta-1,6-glucosyltransferase-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 4. Levels of quality-associated compounds for different SWCs. (A) Total differentially accumulated flavonoids, isoflavonoids, and C- and O- glycosylflavonoids. (B) Levels of catechins, theanine, and theobromine. (C) Levels of glycerophospholipids, glycerolipids, and fatty acids. Plot: mean with SD.
Data from: Indications for three independent domestication events for the tea plant (Camellia sinensis (L.) O. Kuntze) and new insights into the origin of tea germplasm in China and India revealed by nuclear microsatellites
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Data from: Worldwide core collections of tea (Camellia sinensis) based on SSR markers
Tea (Camellia sinensis (L.) O. Kuntze) is the world's most popular beverage crop. However, to date, no core collection has been selected from worldwide germplasm resources on the basis of genotype data. In this study, we analyzed 788 tea germplasm accessions using 23 simple sequence repeat (SSR) markers. Our population structure analysis divided the germplasms into a Japanese group and an exotic group. The latter could be divided into var. sinensis and var. assamica. The genetic diversity was higher in germplasms from China, Taiwan, India, and Sri Lanka than in those from other countries, and low in germplasms from Japan. Using the number of SSR alleles as a measure of genetic diversity, we developed a core collection consisting of 192 accessions and three subcore collections with 96, 48, and 24 accessions. Although the results might be affected by marker-selection bias, the core 192 collection adequately covered the range of variation of the 788 accessions in floral morphology, and the chemical composition of first-flush leaves. These collections will be powerful tools for breeding and genetic research in tea.
Antibacterial activity of Camellia sinensis on multispecies cariogenic biofilm
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Data from: Worldwide core collections of tea (Camellia sinensis) based on SSR markers
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TRANSPARENT TESTA GLABRA1 (TTG1) regulates leaf trichome density in tea (Camellia sinensis)
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Identification of A Novel bZIP Transcription Factor in Camellia sinensis as A Negative Regulator of Freezing Tolerance in Transgenic Arabidopsis
GEO Series GSE84570. Arabidopsis thaliana. 17 samples. Type: Expression profiling by array.
Genome-wide identification and expression profiles of CsHIPP family genes under heavy metal stress in Camellia sinensis (L.)
GEO Series GSE212827. Camellia sinensis. 15 samples. Type: Expression profiling by high throughput sequencing.
Xinyang Maojian green tea (Camellia sinensis) microRNAs data in different leaf development stages.
GEO Series GSE224544. Camellia sinensis. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Root-specific secondary metabolism at the single-cell level: a case study of theanine metabolism and regulation in the roots of tea plants (Camellia sinensis)
GEO Series GSE267845. Camellia sinensis. 1 samples. Type: Expression profiling by high throughput sequencing.
Molecular link between leaf coloration and gene expression of flavonoid and carotenoid biosynthesis in Camellia sinensis cultivar ‘Huangjinya’
GEO Series GSE97659. Camellia sinensis. 6 samples. Type: Expression profiling by high throughput sequencing.
The role of topical containing camellia sinensis in the cosmetic management of skin scars in healthy human volunteers
GEO Series GSE124161. Homo sapiens. 45 samples. Type: Expression profiling by high throughput sequencing.
Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis [microarray]
GEO Series GSE53632. Embryophyta; Camellia sinensis. 8 samples. Type: Non-coding RNA profiling by array.
Expression profiling changes during different albescent stages of 'Anji Baicha' (Camellia sinensis)
GEO Series GSE66615. Camellia sinensis. 9 samples. Type: Expression profiling by high throughput sequencing.
Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis
GEO Series GSE61719. Embryophyta; Camellia sinensis. 11 samples. Type: Non-coding RNA profiling by array; Non-coding RNA profiling by high throughput sequencing.
Development of a 44K custom oligo microarray using 454 pyrosequencing data for large scale gene expression analysis in tea plant (Camellia sinensis)
GEO Series GSE52255. Camellia sinensis. 12 samples. Type: Expression profiling by array.
Identification of conserved and species-specific microRNAs in tea plant (Camellia sinensis) by deep sequencing
GEO Series GSE68267. Camellia sinensis. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Identification of regulatory networks of microRNAs and their targets in immunity to Colletotrichum gloeosporioides in tea plant (Camellia sinensis L.)
GEO Series GSE119728. Camellia sinensis. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing; Other.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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
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