Exploring aromatic components differences and composition regularity of 5 kinds of these 4 aroma types Phoenix Dancong tea based on GC-MS.

Different aromatic components do indeed give different tea flavors. There is still little research on whether there is a certain regularity in the combination and content of aromatic components in different aroma types of Phoenix Dancong (PDC) tea. This potential regularity may be a key factor in unraveling the relationship between reproduction and evolution in PDC tea. Here, the 5 kinds of these 4 aroma types PDC tea (Zhuye, Tuofu, Jianghuaxiang, Juduo, Yashixiang) were used as research materials in this study, the headspace solid-phase microextraction combined with gas chromatography-mass spectrometry was used to analyze the aromatic components of these PDC teas. The results showed a total of 36 aromatic components identified in this study. When conducting cluster analysis, it was found that similarity degree arrangement sequence of 5 PDC teas was Juduo, Tuofu, Yashixiang, Zhuye and Jianghuaxiang. Among these aromatic components, the 7,9-Di-tert-butyl-1-oxaspiro(4,5)deca-6,9-diene-2,8-dione, the 2-Cyclopenten-1-one, 3-methyl-2-(2-pentenyl)-,(Z)-, the 2,4-Di-tert-butylphenol, the 3,7-dimethyl-1,5,7-Octatrien-3-ol, and the 2-Furanmethanol,5-ethenyltetrahydro-.alpha.,.alpha.,5-trimethyl-,cis- are common to 5 PDC teas. This study aims to elucidate the similarities in the aromatic components of 5 PDC teas, revealing the major aroma-endowed substances of various aroma, and providing theoretical reference for further exploring the relationship between aroma type discrimination, variety selection, and evolution of PDC teas.

The complete chloroplast genome of Camellia semiserrata Chi. (Theaceae), an excellent woody edible oil and landscaping species in South China.

Camellia semiserrata is a woody plant that produces excellent edible oil and is a common landscaping species in South China. The complete chloroplast genome of C. semiserrata was sequenced, assembled, annotated, and characterized using the Illumina MiSeq platform in this study. The chloroplast genome is 156,968 bp (37.32% GC) and contains a large single copy (LSC) region (86,634 bp), a small single copy (SSC) region (18,272 bp), and a pair of inverted repeat (IR) regions (26,031 bp). It encodes a total of 117 genes, including 81 protein-coding genes, four ribosomal RNA genes, and 32 transfer RNA genes. The phylogenetic tree fully resolved C. semiserrata in a clade with C. reticulata, C. mairei, and C. pitardii. This study contributes to bioinformatics and further phylogeny and conservation studies as well as provides a theoretical basis for the molecular identification of C. semiserrata.

Relationship between the prohibitin 3' untranslated region C > T gene polymorphism and cancer susceptibility--results of a meta-analysis.

OBJECTIVE: The results from the published studies on the association between prohibitin 3' untranslated region C > T gene polymorphism and cancer risk are conflicting. This meta-analysis was performed to evaluate the relationship with cancer susceptibility overall, and to explore whether the T allele or TT genotype could become a predictive marker for cancer risk. METHODS: Association studies were identified from the databases of PubMed, Embase, and Cochrane Library as of March 1, 2012, and eligible investigations were synthesized using the meta-analysis method. Results were expressed with odds ratios (OR) for dichotomous data, and 95% confidence intervals (CI) were also calculated. RESULTS: Six investigations were identified for the analysis of association between the prohibitin 3' untranslated region C > T gene polymorphism and cancer risk, covering of 1,461 patients with cancer and 1,197 controls. There was a positive association between the T allele and cancer susceptibility (OR=1.20, 95% CI: 1.03-1.39, P=0.02), and CC homozygous might play a protective role (OR=0.80, 95% CI: 0.68-6.11, P=0.95). In the sub-group analysis, prohibitin 3' untranslated region C > T gene polymorphism and cancer risk appeared associated with the risk of breast cancer, but not ovarian cancer. CONCLUSIONS: Our results indicate that T allele is a significant genetic molecular marker to predict cancer susceptibility and CC genotype is protective, especially for breast cancer. However, more investigations are required to further clarify the association of the prohibitin 3' untranslated region C > T gene polymorphism with cancer susceptibility.