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Application of 16S rDNA to Analyze Microbial Diversity in Sediment of Lake Taihu, China

机译:16S RDNA在中国太湖沉积物中分析微生物多样性

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Application of PCR to study microbial diversity of different deep sediments from Lake Taihu without cultivation, the 16S rDNA genes fragments were amplified by using two specific primers. The results of agarose gel (2%) electrophoresis show that the PCR products are about 626 bp and 234 bp in length. These amplified DNA fragments were separated by denaturing gradient gel electrophoresis (DGGE). Comparison of community structure analyses based on two primers revealed that the bacteria species are very abundant. In addition, the diversity indices change drastically throughout the layers, the diversity decreased with sediment depth. The composition of the numerically dominant bacterial populations and the physico-chemical characteristics of the sediment are very heterogeneous throughout the site. This result indicates that the diversity of bacteria decreases in association with sedimentation. The diversities of the bacterial communities are finely adapted to vertical gradients of physicochemical conditions were different. Five mutual major bands from 16S rDNA genes (V3 region) fragments DGGE profiles of sediment sample was eluted from gel, reamplified and sequenced. The results suggested that each band belonged to different DNA fragments with substantial sequence. Three of five sequences shared 95%—99% homology with unknown bacteria sequences in the database while the other two had 93% homology with unknown sequences in the database. At last, some advices were followed about the outcomes of two universal primers.
机译:PCR在没有培养的情况下,通过培养研究不同深沉的不同深沉的微生物多样性,通过使用两种特异性引物扩增16S rDNA基因片段。琼脂糖凝胶(2%)电泳的结果表明,PCR产物的长度为约626bp和234bp。通过使梯度凝胶电泳(DGGE)变性,分离这些扩增的DNA片段。基于两个引物的群落结构分析的比较显示细菌种类非常丰富。此外,在整个层中的多样性指数发生变化,多样性随沉积物深度降低。在整个部位的数值显性细菌群体的组成和沉积物的物理化学特性是非常异质的。该结果表明,细菌的多样性与沉降结合有关。细菌群落的多样性被精细适应于物理化学病症的垂直梯度不同。从16S rDNA基因(V3区域)片段DGGE曲线的五个相互主带从凝胶,阵切,测序和测序中洗脱沉积物样品。结果表明每个频段属于具有大量序列的不同DNA片段。五种序列中的三种与数据库中未知的细菌序列共享95%-99%的同源性,而另外两个具有93%的同源性与数据库中未知的序列。最后,一些建议遵循了两个普遍引物的结果。

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