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首页> 外文期刊>Journal of Genetic Engineering and Biotechnology >RAPD-PCR and 16S rDNA phylogenetic analysis of alkaline protease producing bacteria isolated from soil of India: Identification and detection of genetic variability
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RAPD-PCR and 16S rDNA phylogenetic analysis of alkaline protease producing bacteria isolated from soil of India: Identification and detection of genetic variability

机译:从印度土壤中分离出碱性蛋白酶的细菌的RAPD-PCR和16S rDNA系统发育分析:遗传变异的鉴定和检测

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178 bacterial strains were isolated from the soil samples collected from different regions of India out of which, 20 bacterial isolates were selected for alkaline protease production. The alkaline protease production efficiency of organisms was monitored at regular intervals (24h) upto 7days at 37^oC, pH 10. The 16S rDNA sequencing and RAPD-PCR based technique were used to identify the genetic variability among the 20 isolates of alkaline protease producing bacteria. The phylogenetic analysis indicated that the isolates can be separated into two clusters which could be further subdivided into five groups. Group 1 and 5 represented the family Bacillaceae, Groups 2 represented the Micrococcaceae family while Group 3 included the Arthrobacter bacterial group (family Micrococcaceae) from different geographical locations, respectively. Group 4 was identified as Pseudomonadaceae which was gram (-) bacteria. 21 different oligonucleotide primers were used to amplify approximately 261 fragments from each DNA sample. The bands were scored on the basis of their presence and absence and similarity between DNA samples was checked using Jaccard's coefficient. Isolates were distinguished into distinct groups based on RAPD profiles from different geographical locations, morphological features and enzyme production efficiency. For cluster analysis the dendrogram was constructed using the unweighted pair group method with arithmetic averages (UPGMA). The results indicated that 16S rDNA and RAPD-PCR are suitable methods for rapid identification and differentiation of alkaline protease producing bacteria.
机译:从印度不同地区收集的土壤样品中分离出178种细菌菌株,其中选择了20种细菌分离株用于碱性蛋白酶生产。在37°C,pH 10的条件下定期监测生物的碱性蛋白酶生产效率(24小时),直至7天。使用16S rDNA测序和基于RAPD-PCR的技术鉴定了20种碱性蛋白酶生产菌株中的遗传变异性。菌。系统发育分析表明,分离株可分为两类,可进一步细分为五类。组1和5代表芽孢杆菌科,组2代表微球菌科,而组3分别包括来自不同地理位置的节杆菌属细菌科(微球菌科)。第4组被鉴定为假单胞菌科,其是革兰氏(-)细菌。使用21种不同的寡核苷酸引物从每个DNA样品中扩增大约261个片段。根据条带的存在和不存在对条带进行评分,并使用雅克卡德系数检查DNA样本之间的相似性。基于来自不同地理位置,形态特征和酶生产效率的RAPD概况,将分离物分为不同的组。为了进行聚类分析,使用具有算术平均值(UPGMA)的非加权对组方法构建树状图。结果表明,16S rDNA和RAPD-PCR是快速鉴定和区分碱性蛋白酶的细菌的合适方法。

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