Classification for dimethylarsenate-decomposing bacteria using a restrict fragment length polymorphism analysis of 16S rRNA genes

Classification for dimethylarsenate-decomposing bacteria using a restrict fragment length polymorphism analysis of 16S rRNA genes
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DOI:
10.2116/analsci.20.61
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发表时间:
2004-01-01
影响因子:
1.6
通讯作者:
Ueda, K
Ueda, K
中科院分区:
化学4区
文献类型:
--
作者:
Maki, T;Hasegawa, H;Ueda, K

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将MPN(Most Probable Number)法与RFLP(Restriction-Fragment-Length Polymorphism Analysis)法相结合,建立了一种新的DMAA分解过程中细菌群落的监测体系。DMAA分解细菌的丰度通过使用细菌培养基的MPN方法估计,其中包括DMAA作为唯一碳源,表明细菌细胞密度在Kahokugata湖中为1700个细胞/ml,在Kibagata湖中为330个细胞/ml。采用琼脂平板分离优势菌后,利用16 SrDNA序列进行RFLP分析,将分离菌株分为若干基因型组。RFLP分析结果表明,14个湖北湖分离物可分为6个类型,其中2个为假单胞菌属的优势类型,而8个木钵湖分离物可分为6个类型,其中1个或2个为假单胞菌属。此外,每个湖泊的RFLP类型是独特的,这表明DMAA分解细菌是特定的与砷循环有关的水环境。DMAA分解活性与菌株的RFLP类型基本一致。因此,将MPN方法与RFLP分析相结合,将对阐明降解DMAA的细菌群落的分布和动态具有重要作用。
A new monitoring system for bacterial communities involving dimethylarsinic acid (DMAA) decomposition was provided by combining the MPN (Most Probable Number) method and RFLP (restriction-fragment-length polymorphism analysis). The abundance of DMAA decomposing bacteria was estimated by the MPN method using a bacterial culture medium, which included DMAA as the sole carbon source, indicating bacterial cell densities of 1700 cells/ml in Lake Kahokugata and 330 cells/ml in Lake Kibagata. After isolating the dominant bacteria using agar plates, the isolates were classified into some genotype groups by RFLP analysis using 16S rDNA sequences. Classification of the RFLP analysis indicated that 14 isolates of Lake Kahokugata were classified into 6 types, which included 2 dominant types related to genus Pseudomonas, while 8 isolates of Lake Kibagata displayed 6 types including one or two isolates. Moreover, the RFLP types were unique for each lake, suggesting that DMAA decomposing bacteria were specific for the aquatic environment related to the arsenic cycle. The activities of DMAA decomposition mostly matched with the RFLP type category of the isolates. Accordingly, combining the MPN method with the RFLP analysis will play an important role in elucidating the distributions and dynamics of the DMAA-decomposing bacterial community.