Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds.
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- BMC Genomics, 2011, v. 12, p. 1, doi. 10.1186/1471-2164-12-131
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- Article
Works matching AU Wei, Chao-Ling
Results: 8
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Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant.
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- Plant Biotechnology Journal, 2019, v. 17, n. 10, p. 1938, doi. 10.1111/pbi.13111
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- Article
3
CsICE1 and CsCBF1: two transcription factors involved in cold responses in Camellia sinensis.
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- Plant Cell Reports, 2012, v. 31, n. 1, p. 27, doi. 10.1007/s00299-011-1136-5
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- Article
4
Effects of Light Intensity and Spectral Composition on the Transcriptome Profiles of Leaves in Shade Grown Tea Plants (Camellia sinensis L.) and Regulatory Network of Flavonoid Biosynthesis.
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- Molecules, 2021, v. 26, n. 19, p. 5836, doi. 10.3390/molecules26195836
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- Article
5
Differential transcriptome analysis of leaves of tea plant ( Camellia sinensis) provides comprehensive insights into the defense responses to Ectropis oblique attack using RNA-Seq.
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- Functional & Integrative Genomics, 2016, v. 16, n. 4, p. 383, doi. 10.1007/s10142-016-0491-2
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- Article
6
Absolute quantification of microRNAs in green tea ( Camellia sinensis) by stem-loop quantitative real-time PCR.
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- Journal of the Science of Food & Agriculture, 2017, v. 97, n. 9, p. 2975, doi. 10.1002/jsfa.8137
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- Article
7
Genetic Divergence between Camellia sinensis and Its Wild Relatives Revealed via Genome-Wide SNPs from RAD Sequencing.
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- PLoS ONE, 2016, v. 11, n. 3, p. 1, doi. 10.1371/journal.pone.0151424
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- Article
8
Optimized sequencing depth and de novo assembler for deeply reconstructing the transcriptome of the tea plant, an economically important plant species.
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- BMC Bioinformatics, 2019, v. 20, n. 1, p. N.PAG, doi. 10.1186/s12859-019-3166-x
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- Article