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您的检索式：作者名="Zongshan Zhou"
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| 1 | Cloning and Characterization of miRNAs and Their Targets, Including a Novel miRNA-Targeted NBS-LRR Protein Class Gene in Apple (Golden Delicious)显示文摘MicroRNA (miRNA ) 在植物作为基因表示的一个重要管理者出现了。146 miRNAs 从苹果被识别(Malus domestica cv。金色美味) 由定序的生物信息的分析和 RNA 图书馆。从这些, 135 被保存, 11 是新奇 miRNAs。目标分析预言了新奇 miRNAs 之一, Md-miRLn11 (Malus domestica microRNA Ln11 ) ,指向了一个苹果核苷酸绑定地点(NBS ) 充满白氨酸的重复(LRR ) 班蛋白质编码基因(Md-NBS ) 。5 赛跑试金证实了 Md-miRLn11 的能力在 1112-nt 位置劈开 Md-NBS。Md-miRLn11 和 Md-NBS 的表示的分析在在 40 个苹果变化的最佳侵略时期期间证明在抵抗变化的 Md-NBS 基因的表示比在易受影响的变化高,与为 Md-miRLn11 的一个反的模式。从抵抗苹果变化 JiGuan 的幼苗被用来执行 Agrobacterium 渗入试金,然后与苹果叶点疾病接种。结果在 JiGuan 苹果显示出疾病抵抗的清楚的衰落。相反,与 Md-NBS 基因渗入的易受影响的变化富士在疾病抵抗显示出重要增加。基于上述结果,我们建议 Md-miRLn11 特别地在病原体感染的条件下面调整 Md-NBS 基因表示,并且指向 P 环地点的 Md-miRLn11 可以在木质的植物调整许多 NBSLRR 蛋白质类基因。 | Chao Ma You Lu Songlin Bai Wennan Zhang Xuwei Duan Dong Meng Zhigang Wang Aide Wang Zongshan Zhou Tianzhong Li | 2014 | Molecular Plant2014，7，1： | 19 |
| 2 | Rapid decolorization of water soluble azo-dyes by nanosized zero-valent iron immobilized on the exchange resin显示文摘Nanosized zero-valent iron (NZVI) supported on the cation exchange resin was synthesized and applied to decompose some water soluble azo dyes. The decomposition efficiency for azo dyes was evaluated by using the aqueous suspensions and parked column of this material. Batch experiments indicated that this novel material exhibited excellent degradation ability for 0.05 g·L1 of Acid Orange 7, Acid Orange 8, Acid Orange 10, Sunset Yellow, and Methyl Orange, with decolorization ratio up to 95% in 4 min; pH value was the key factor for degradation and H+ was one of the reactants; adsorption of azo dyes onto the material existed at the beginning but reduced gradually until disappearing completely. For the packed column system, 58%~90% of azo dyes were decomposed in the 1st circle of solution passing through the column, and the adsorption onto the materials could accelerate the degradation azo dyes with the increasing reaction time. During the degradation process, Fe2+, the product of NZVI, was exchanged to the resin again and could be reduced to Fe0 by KBH4 for reusing. The 10th refreshed NZVI possessed reductive activity up to 90% of the newly systhesized NZVI. Decomposing pollutants in the aqueous solution with columns packed with NZVI immobilized on the cation exchange resin is a promising technology that can solve the reclaiming and refreshing problem of NZVI. | ZHAO ZongShan LIU JingFu TAI Chao ZHOU QunFang HU JingTian JIANG GuiBin | 2008 | Science China Chemistry2008，51，2： | 6 |
| 3 | CPSDv0: a forest stand structure database for plantation forests in China显示文摘Forest stand structure is not only a crucial factor for regulating forest functioning but also an important indicator for sustainable forest management and ecosystem services.Although there exists a few national/global structure databases for natural forests,a country-wide synthetic structure database for plantation forests over China,the world’s largest player in plantation forests,has not been achieved.In this study,we built a country-wide synthetic stand structure database by surveying more than 600 peer-reviewed literature.The database covers tree species,mean stand age,mean tree height,stand density,canopy coverage,diameter at breast height,as well as the associated ancillary in-situ topographical and soil properties.A total of 594 pub-lished studies concerning diverse forest stand structure parameters were compiled for 46 tree species.This first synthesis for stand structure of plantation forests over China supports studies on the evolution/health of plantation forests in response to rapid climate change and intensified disturbances,and benefits country-wide sustainable forest management,future afforestation or reforestation planning.Potential users include those studying forest community dynamics,regional tree growth,ecosystem stability,and health,as well as those working with conservation and sustainable management.This dataset is freely acces-sible at http://gffzza4c772bdab62464fhxvcwcu9bvfp96cuu.ffgz.tsg.suse.edu.cn/10.11922/sciencedb.j00076.00091. | Xiuchen Wu Xiaofei Jiang Hongyan Liu Craig Allen Xiaoyan Li Pei Wang Zongshan Li Yuting Yang Shulei Zhang Fangzhong Shi Jiaojun Zhu Pengtao Yu Mei Zhou Pengwu Zhao Yanhui Wang Chao Yue Deliang Chen | 2023 | Big Earth Data2023，7，1： | 0 |
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