齐墩果酸的微生物转化

齐墩果酸（OA）是一个分布广泛、含量丰富的天然三萜化合物，常以皂苷元的形式广泛存在于植物中,具有多种重要生物活性。但是OA许多活性较弱，且生物利用度低，限制了其在临床上的应用。一是OA水溶性差;二是抗癌活性仍与临床应用的抗癌药物相差比较大。 真菌在微生物转化中具有种类多、培养条件比较简单等特点，为了寻找到具有转化OA能力的菌株，采取一步发酵的方法，在18株实验室保藏真菌菌株中筛选到5株目的菌株,TLC分析显示有转化效果。 随后采用二步发酵的方法作为复筛，验证5株菌株转化能力，波谱分析结果表明5株菌株对OA确实有转化作用。 选择5株菌种中代号1F-2 2菌株作为放大实验菌株，分离转化产物，得到OA衍生物108（相对分子量414m/z）和1010（相对分子量340 m/z），分离出的产物用于活性检测。寻找到产物108的RP-HPLC分离条件，质谱得出二者相对分子质量。 为验证OA转化产物抗肿瘤活性，首次研究了OA对卵巢癌细胞株IGROV1和人乳腺癌细胞株MDA-MB-231作用，通过细胞增殖抑制实验、用MTT法检测细胞活性，结果表明齐墩果酸可降低卵巢癌细胞株IGROV1和乳腺癌细胞MDA-MB-231细胞增殖能力并呈剂量依赖性，对肿瘤细胞株的半数有效抑制浓度化IC50 分别为36.58μg/mL和38.8μg/mL (P<0．01)。OA能抑制肿瘤细胞活性，并且OA对卵巢癌细胞株IGROV1抑制活性高于乳腺癌细胞MDA-MB-231。 在此基础上，转化产物108和1010对卵巢癌细胞株IGROV1和人乳腺癌细胞株MDA-MB-231的抑制作用也进行研究，MTT实验结果表明，转化产物对两株癌细胞也有抑制活性（P<0．01）。 总之，本文工作为进一步开展齐墩果酸类化合物结构改造和抗肿瘤活性的研究奠定了基础。 Oleanolic acid (OA) is a triterpenoid widely distributed in the nature which possesses various important bioactivities. OA also serves as aglycon of many natural saponins. However, the relatively weak activities and poor bioavailability hinder its clinical use. Firstly, poor water-solubility results in worse bioavailability. Secondly, compared with clinical antitumor drug, the antitumor effect of OA has a great difference, it is worse. Many fungi have ability to transform nature products into a variety of derivatives, and transformation conditions of fungi are simple. Attempt to obtain fungi strains able to biotransform OA, we carried out the following experiments: To investigate the biotransformation 0f OA by strains supplied firstly, we used one-step fermentation method to screen the aimed strains from 18 fungus strains stored in our laboratory. On the basis of the initial screening experiments, we found 5 aimed strains. The TLC results showed that the 5 fungi strains could transform OA into other components derivatives. Then we used two-step fermentation method as secondly screening. We repeated the five strains to do the experiments, analytical data of the results proved the transformation indeed. In the followed experiments work, we chose 1F-2 2 strain as large-scale transformation fungus from the aimed fungi. We got two biotransformation products of OA by 1F-2 2, and named those derivatives 108 and 1010. We found RP-HPLC separation conditions of product 108. The two products were characterized by ESI-MS. To verify the anti-tumor activity of biotransformation products of OA, we studied the inhibition effect of oleanolic acid on the ovarian carcinomas IGROV1 and breast cancer cell line MDA-MB-231 firstly. With an assay based on a tetrazolium dye (MTT), the effects of various concentrations of oleanolic acid on ovarian carcinomas IGROV1 and breast cancer cell line MDA-MB-231 were studied. MTT method was used to measure the tumor cells viability. Compared with the control group, oleanolic acid can significantly inhibit the viability of the ovarian carcinoma cells IGROV1 and MDA-MB-231 breast cancer cell line (P<0．01), IC50 values were 36.58μg/mL or 38.8μg/mL. Oleanolic acid can inhibit the malignant tumor cells viability, and inhibitory activity of OA to ovarian carcinomas IGROV1 was higher than to breast cancer cell line MDA-MB-231. On this basis, we studied the anti-tumor activity of the two derivatives of OA [called 108 (414 m/z) and 1010(340 m/z)]. It came to the conclusion that the two derivatives also showed potent inhibitory effect on the growth of these tumor cells（P<0．01）. Therefore, the results of studies will benefit the further investigating on the relationships of structures and antitumor activities of OA.

Profiling of Complex Microbial Populations by Denaturing Gradient Gel Electrophoresis Analysis of Polymerase Chain Reaction-Amplified Genes Coding for 16S rRNA

We describe a new molecular approach to analyzing the genetic diversity of complex microbial populations. This technique is based on the separation of polymerase chain reaction-amplified fragments of genes coding for 16S rRNA, all the same length, by denaturing gradient gel electrophoresis (DGGE). DGGE analysis of different microbial communities demonstrated the presence of up to 10 distinguishable bands in the separation pattern, which were most likely derived from as many different species constituting these populations, and thereby generated a DGGE profile of the populations. We showed that it is possible to identify constituents which represent only 1% of the total population. With an oligonucleotide probe specific for the V3 region of 16S rRNA of sulfate-reducing bacteria, particular DNA fragments from some of the microbial populations could be identified by hybridization analysis. Analysis of the genomic DNA from a bacterial biofilm grown under aerobic conditions suggests that sulfate-reducing bacteria, despite their anaerobicity, were present in this environment. The results we obtained demonstrate that this technique will contribute to our understanding of the genetic diversity of uncharacterized microbial populations.

Soil microbial community analysis using denaturing gradient gel electrophoresis

The most biological diversity on this planet is probably harbored in soils. Understanding the diversity and function of the microbiological component of soil poses great challenges that are being overcome by the application of molecular biological approaches. This review covers one of many approaches being used: separation of polymerase chain reaction (PCR) amplicons using denaturing gradient gel electrophoresis (DGGE). Extraction of nucleic acids directly from soils allows the examination of a community without the limitation posed by cultivation. Polymerase chain reaction provides a means to increase the numbers of a target for its detection on gels. Using the rRNA genes as a target for PCR provides phylogenetic information on populations comprising communities. Fingerprints produced by this method have allowed spatial and temporal comparisons of soil communities within and between locations or among treatments. Numerous samples can be compared because of the rapid high throughput nature of this method. Scientists now have the means to begin addressing complex ecological questions about the spatial, temporal, and nutritional interactions faced by microbes in the soil environment.