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代表活性污泥中苯酚降解菌群的ERIC-PCR产物片段的多态性
引用本文:高平平,王健,席玉英,赵立平.代表活性污泥中苯酚降解菌群的ERIC-PCR产物片段的多态性[J].生态学报,2003,23(6):1095-1100.
作者姓名:高平平  王健  席玉英  赵立平
作者单位:1. 山西大学生物技术研究所,太原,030006
2. 山西大学环境与资源学院,太原,030006
3. 上海交通大学生命科学技术学院,上海,200240
基金项目:国家“863”高科技研究发展计划资助项目( No.SZ-0 3 -0 1 -0 4,2 0 0 1 AA2 1 41 3 1 )~~
摘    要:对可能代表活性污泥中两个时期的主要苯酚降解菌群的:ERIC-PCR指纹图谱中的两条2.1kb的条带(P1和P8)中的DNA片段进行克隆、转化,得到193个转化子。.HinfⅠ物理图谱分析得到35种酶切类型,将两端各进行1次测序后,同源性大于90%的克隆归为一类,共得到10种序列类型。对各类型的代表克隆进行了全长测序,5种类型为P1条带所有,3种类型为P8所有,二者共享的类型为2种,丰度最高的片段为S3,P1条带中76.3%的转化子和P8条带中66.7%转化子属该类型。对所得序列进行检索分析,它们与GenBank中已知基因序列均无显著同源性。用S3特异性引物对活性污泥样品及其它在LB、dCGY、MP和FWM培养基上的回收菌进:行扩增,除LB上的回收菌没有显示目的条带外,活性污泥和其回收菌中均检测到带有该基因组片段的菌种的存在。研究为专一性分离降酚活性污泥中的优势菌提供了分子探针。

关 键 词:群落结构  ERIC-PCR指纹图  特征性条带  基因组片段测序  活性污泥  苯酚降解菌群
文章编号:1000-0933(2003)06-1095-06
收稿时间:7/7/2002 12:00:00 AM
修稿时间:2003/3/10 0:00:00

Population dynamics of phenol-degrading bacteria in activated sludge as reflected by composition of ERIC-PCR fragments in a function-associated signature band of communities' fingerprints
GAO Pingping,WANG Jian,XI Yuying and ZHAO Liping.Population dynamics of phenol-degrading bacteria in activated sludge as reflected by composition of ERIC-PCR fragments in a function-associated signature band of communities'' fingerprints[J].Acta Ecologica Sinica,2003,23(6):1095-1100.
Authors:GAO Pingping  WANG Jian  XI Yuying and ZHAO Liping
Institution:School of Life Science and Biotechnology; Shanghai Jiao Tong University; Shanghai;
Abstract:One 2.1 kb signature DNA band whose intensity was correlated to phenol degrading efficiency of activated sludge was identified from ERIC PCR DNA fingerprints after one month monitoring of structural dynamics of microbial communities in a phenol degrading activated sludge system. The DNA fragments from the signature bands (P1and P8) of ERIC PCR profiles at first and eighth monitoring stage (three weeks apart) were eluted from the agarose gel and cloned into pGEM T Easy vector. A total of 193 transforman...
Keywords:ERIC  PCR community fingerprinting  signature band  genomic fragment sequencing
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