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Tea plant (Camellia sinensis) leaf is an important non-alcoholic beverage resource. The application of quantitative real time polymerase chain reaction (qRT-PCR) has a profound significance for the gene expression studies of tea plant, especially when applied to tea leaf development and metabolism. In this study, nine candidate reference genes (i.e., CsACT7, CsEF-1α, CseIF-4α, CsGAPDH, CsPP2A, CsSAND, CsTBP, CsTIP41, and CsTUB) of C. sinensis were cloned. The quantitative expression data of these genes were investigated in five tea leaf developmental stages (i.e., 1st, 2nd, 3rd, 4th, and older leaves) and normal growth tea leaves subjected to five hormonal stimuli (i.e., ABA, GA, IAA, MeJA, and SA), and gene expression stability was calculated using three common statistical algorithms, namely, geNorm, NormFinder, and Bestkeeper. Results indicated that CsTBP and CsTIP41 were the most stable genes in tea leaf development and CsTBP was the best gene under hormonal stimuli; by contrast, CsGAPDH and CsTUB genes showed the least stability. The gene expression profile of CsNAM gene was analyzed to confirm the validity of the reference genes in this study. Our data provide basis for the selection of reference genes for future biological research in the leaf development and hormonal stimuli of C. sinensis.

Throughout its development, common wheat, Triticum aestivum responds to different kinds of adverse abiotic and biotic stress by expressing specific genes that allow it to adapt to these stresses. In this process, genes in the AP2/ERF family encode transcriptional regulators involved in diverse developmental and physiological processes play critical roles. Here, we established an extensive picture of the AP2/ERF family genes in wheat. From 960, 174 ESTs of T. aestivum, 117 putative AP2/ERF family genes were identified by in silico analysis based on the presence of the conserved AP2/ERF domain amino acid sequence of Arabidopsis thaliana. Based on the model species A. thaliana, the AP2/ERF TFs from T. aestivum were classified into five subfamilies with the following number of members: DREB (57), ERF (47), AP2 (9), RAV (3) and Soloist (1). Using the available EST information as a source of expression data, the putative AP2/ERF family genes from T. aestivum were detected in nine kinds of tissues. Transcripts of the genes were shown to be most abundant in leaves, followed by roots and seeds, and the least abundant in stem. Most of the T. aestivum AP2/ERF family genes showed some tissue specificity.

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GRAS proteins are important transcription factors that play multifarious roles in regulating the growth and development as well as stress responses of plants. Tea plant is an economically important leaf -type beverage crop. Information concerning GRAS family transcription factors in tea plant is insufficient. In this study, 52 CsGRAS genes encoding GRAS proteins were identified from tea plant genome database. Phylogenetic analysis of the identified GRAS proteins from tea plant, Arabidopsis, and rice divided these proteins into at least 13 subgroups. Conserved motif analysis revealed that the gene structure and motif compositions of the proteins were considerably conserved among the same subgroup. Functional divergence analysis indicated that the shifted evolutionary rate might act as a major evolutionary force driving subfamily-specific functional diversification. Transcriptome analysis showed that the transcriptional levels of CsGRAS genes under non-stress conditions varied among different tea plant cultivars. qRT-PCR analysis revealed tissue and development stage-specific expression patterns of CsGRAS genes in tea plant. The expression patterns of CsGRAS genes in response to abiotic stresses and gibberellin treatment suggested the possible multiple functions of these genes. This study provides insights into the potential functions of GRAS genes.

BackgroundTea is a popular natural non-alcoholic beverage consumed worldwide due to its bioactive ingredients, particularly catechins (flavan-3-ols). Catechins not only contribute to tea quality but also serve important functions in the anti-stress regulation of secondary metabolic pathways. However, the percentages of various catechins are different among tea plant [Camellia sinensis (L.) O. Kuntze] cultivars. This study aimed to elucidate the biosynthetic mechanism of catechins. Transcriptomes from leaf tissues of four tea plant cultivars, ‘Yunnanshilixiang’, ‘Chawansanhao’, ‘Ruchengmaoyecha’, and ‘Anjibaicha’, were sequenced using the high-throughput sequencing platform Illumina HiSeq™ 2000. De novo assemble were also performed. Catechins contents were measured through reversed-phase high-performance liquid chromatography (RP-HPLC), and the biosynthetic pathway was also surveyed.ResultsWe constructed a unified unigene database. A total of 146,342 pairs of putative orthologs from the four tea plant cultivars, ‘Yunnanshilixiang’, ‘Chawansanhao’, ‘Ruchengmaoyecha’, and ‘Anjibaicha’ were generated. Approximately 68,890 unigenes (47.1%) were aligned to the sequences of seven public databases with a cut-off E-value of 1E-5. A total of 217 differentially expressed genes were found through RPKM values, and 150 unigenes were assigned to the flavonoid biosynthetic pathway using the integrated function annotation. The (−)-EGC and (−)-EC contents were significantly lower and the (+)-GC and (+)-C contents were abnormally higher in ‘Ruchengmaoyecha’ than in ‘Yunnanshilixiang’, ‘Chawansanhao’, and ‘Anjibaicha’. The proportion of catechins was confirmed by selecting critical genes (ANS, ANR, and LAR) for qRT-PCR analysis.ConclusionsThis study provided a global survey of transcriptomes from four tea plant cultivars and serves as an available resource of genetic diversity. The analyses of transcriptome profiles and physiological indicators not only identified the putative genes involved in the flavonoid biosynthetic pathway but also provided some novel insights for the mechanisms of catechins biosynthesis.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-014-0277-4) contains supplementary material, which is available to authorized users.

L-Theanine content has tissues and cultivars specificity in tea plant (Camellia sinensis L.), the correlations of theanine metabolic related genes expression profiles with theanine contents were explored in this study. L-theanine contents in the bud and 1st leaf, 2nd leaf, 3rd leaf, old leaf, stem, and lateral root were determined by HPLC from three C. sinensis cultivars, namely ‘Huangjinya’, ‘Anjibaicha’, and ‘Yingshuang’, respectively. The theanine contents in leaves and root of ‘Huangjinya’ were the highest, followed by ‘Anjibaicha’, and ‘Yingshuang’. The theanine contents in the leaves reduced as the leaf mature gradually, and in stem were the least. Seventeen genes encoding enzymes involved in theanine metabolism were identified from GenBank and our tea transcriptome database, including CsTS1, CsTS2, CsGS1, CsGS2, CsGOGAT-Fe, CsGOGAT-NAD(P)H, CsGDH1, CsGDH2, CsALT, CsSAMDC, CsADC, CsCuAO, CsPAO, CsNiR, CsNR, CsGGT1, and CsGGT3. The transcript profiles of those seventeen genes in the different tissues of three tea plant cultivars were analyzed comparatively. Among the different cultivars, the transcript levels of most selected genes in ‘Huangjinya’ were significantly higher than that in the ‘Anjibaicha’ and ‘Yingshuang’. Among the different tissues, the transcript levels of CsTS2, CsGS1, and CsGDH2 almost showed positive correlation with the theanine contents, while the other genes showed negative correlation with the theanine contents in most cases. The theanine contents showed correlations with related genes expression levels among cultivars and tissues of tea plant, and were determined by the integrated effect of the metabolic related genes.