| 1 | In tegrative iTRAQ-based proteomic and transcriptomic analysis reveals the accumulation patter ns of key metabolites associated with oil quality during seed ripening of Camellia oleifera显示文摘Camellia oleifera(C.oleifera)is one of the four major woody oil-bearing crops in the world and has relatively high ecological,economic,and medicinal value.Its seeds undergo a series of complex physiological and biochemical changes during ripening,which is mainly manifested as the accumulation and transformation of certain metabolites closely related to oil quality,especially flavonoids and fatty acids.To obtain new insights into the underlying molecular mechanisms,a parallel analysis of the transcriptome and proteome profiles of C.oleifera seeds at different maturity levels was conducted using RNA sequencing(RNA-seq)and isobaric tags for relative and absolute quantification(iTRAQ)complemented with gas chromatography-mass spectrometry(GC-MS)data.A total of 16,530 transcripts and 1228 proteins were recognized with significant differential abundances in pairwise comparisons of samples at various developmental stages.Among these,317 were coexpressed with a poor correlation,and most were involved in metabolic processes,including fatty acid metabolism,a-linolenic acid metabolism,and glutathione metabolism.In addition,the content of total flavonoids decreased gradually with seed maturity,and the levels of fatty acids generally peaked at the fat accumulation stage;these results basically agreed with the regulation patterns of genes or proteins in the corresponding pathways.The expression levels of proteins annotated as upstream candidates of phenylalanine ammonia-lyase(PAL)and chalcone synthase(CHS)as well as their cognate transcripts were positively correlated with the variation in the flavonoid content,while shikimate O-hydroxycinnamoyltransferase(HCT)-(encoding genes had the opposite pattern.The increase in the abundance of proteins and mRNAs corresponding to alcohol dehydrogenase(ADH)was associated with a reduction in linoleic acid synthesis.Using weighted gene coexpression network analysis(WGCNA),we further identi fied six unique modules related to flavonoid,oil,and fatty acid anabolism that contained hub genes or proteins similar to transcription factors(TFs),such as MADS intervening keratin-like and C-terminal(MIKC_MAD s),type-B authentic response regulator(ARR-B),and basic helix-loop-helix(bH〔H).Finally,based on the known metabolic pathways and WGCNA combined with the correlation analysis,fi ve coexpressed transcripts and proteins composed of cinnamyl-alcohol dehyd rogenases(CADs),caffeicacid 3-O-methyltransferase(COMT),fl avonol synthase(FLS),and 4-coumarate:CoA ligaas(4CL)were screened out.With this exploratory multiomics dataset,our results presented a dynamic picture regarding the maturation process of C.oleifera seeds on Hainan Island,not only revealing the temporal specific expression of key candidate genes and proteins but also providing a scientific basis for the genetic improvement of this tree species. | Zhouchen Ye Jing Yu Wuping Yan Junfeng Zhang Dongmei Yang Guanglong Yao Zijin Liu Yougen Wu Xilin Hou | 2021 | Horticulture Research2021，8，1： | 3 |
| 6 | DFT and 3D-QSAR Studies of Anti-Cancer Agents m-(4-Morpholinoquinazolin-2-yl) Benzamide Derivatives for Novel Compounds Design显示文摘As a group of diversified frameworks, quinazolin derivatives displayed a broad field of biological functions, especially as anticancer. To investigate the quantitative structure-activity relationship, 3D-QSAR models were generated with 24 quinazolin scaffold molecules. The experimental and predicted pIC50 values for both training and test set compounds showed good correlation, which proved the robustness and reliability of the generated QSAR models. The most effective CoMFA and CoMSIA were obtained with correlation coefficient n_(cvr)~2 of 1.00(both) and leave-one-out coefficient q^2 of 0.61 and 0.59, respectively. The predictive abilities of CoMFA and CoMSIA were quite good with the predictive correlation coefficients(r_(pred)~2) of 0.97 and 0.91. In addition, the statistic results of CoMFA and CoMSIA were used to design new quinazolin molecules. | ZHAO Siqi ZHANG Guanglong XIA Shuwei YU Liangmin | 2018 | Journal of Ocean University of China2018，17，3： | 0 |
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