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Xiao-Ke Wang

Publications and source records attributed to Xiao-Ke Wang.

4 recordsLinked to original sources

Simulation of temporal and spatial change of N2O emissions in the Yangtze River Delta.

A biogeochemical model (DNDC) is combined with a plant ecological model to estimate N2O emission from rice paddy fields in the Yangtze River Delta region. The model is driven by local meteorological, soil, and physiological data and is validated for 1999 and 2000 at a site in the region, which showed that the simulated N2O emissions agree fairly well with the observed data. This adds some confidence in the estimated N2O emissions during 1950 and 2000 in the Hangzhou Region. A significant correlation between the N2O emissions and the population for the Hangzhou Region is found, which is due to a combination of increased application of fertilizers and cultivated area. Such a correlation can not be established for the whole Yangtze River Delta region when the data of both urban and rural areas are included. However, when the data from the heavily urbanized areas are excluded, a significant correlation between population and N2O emissions emerges. The results show clearly that both the temporal and the spatial N2O emissions have significant positive relationship with population under traditional farming practice. These results have implications for suitable mitigation options towards a sustainable agriculture and environment in this region.

Carbon↗

[Ecological distributions of airborne fungi in outdoor environments in Beijing, China].

An investigation on fungal types, concentrations, and their dynamic variation in outdoor environments was carried out in three different functional areas around one year in Beijing. Results show that the fungal concentrations varied widely and the average was (1164.8 +/- 73.2) CFU x m(-3), ranging from 23.6CFU x m(-3) to 13 959.5 CFU x m(-3). The most common culturable airborne fungi in all seasons and all functional areas were Cladosporium , nonsporulating fungi, Alternaria, Penicillium and Aspergillus. The most dominant fungus was Cladosporium, which contributed to more than 1/3 of the total. The fungal levels in culture and education region (CER) and garden green region (GGR) were highest in the fall and summer, and lowest in the winter and spring, while the seasonal variation in main traffic line (MTL) was not significant. The fungal concentrations in CER and GGR were significantly higher than in MTL (p <0.05). No statistically significant difference exists between CER and GGR.

Air Microbiology↗

[Transposable element mariner].

Mariner and mariner-like elements (MLEs) have been found in a wide range of organisms including human since its discovery in Drosophila mauritiana. MLEs belong to the mariner/Tc1 superfamily, one of the most diverse and widespread Class II transposable elements. MLEs have a conserved "D,D(34)D" motif in their transposases and they transpose by cut-and-paste mechanisms. Their extraordinarily wide host range and horizontal transmission in distantly related species indicate that they do not need additional host-specific factors for transposition. The evidence that MLEs could transform a wide variety of organisms especially the vertebrates supported the host-independent mechanism and suggested the availability as a kind of potential transforming vector.

Animals↗

Isolation and Cloning of 17 Novel C(2)H(2) Zinc Finger Gene Fragments.

A pair of degenerate primers were designed according to the DNA sequences of the C(2)H(2) zinc finger genes conservative domain and then homologious PCR was performed with the human genomic total DNA as template. The zinc finger fragments thus obtained were used as probes to screen cDNA libraries of human fetal kidney, muscle and marrow and 22 C(2)H(2) zinc finger gene fragments were selected. Among these fragments, 17 were confirmed to be novel zinc finger gene fragments by literature searches in the National Center Biotechnology Information (NCBI) database. Expression patterns of the clones K3-4 and K5-12 selected from kidney cDNA library were analyzed. The results showed that the expression level of K3-4 in kidney is obviously higher than in other tissues and K5-12 is expressed at different levels in 8 tissues.

Journal Article↗