Biotechnology & Biology Research Center, Shahid Chamran University, Ahvaz, Iran.
Appl Biochem Biotechnol. 2011 Oct;165(3-4):938-48. doi: 10.1007/s12010-011-9310-3. Epub 2011 Jul 13.
Crude oil-contaminated soil samples were gathered across Khuzestan oilfields (National Iranian South Oil Company, NISOC) consequently experienced a screening procedure for isolating C-S targeted dibenzothiophene-biodegrading microorganisms with previously optimized techniques. Among the isolates, a bacterial strain was selected due to its capability of biodegrading dibenzothiophene in a C-S targeted manner in aqueous phases and medium mostly consisting of separately biphasic water-gasoline. The 16S rDNA of the isolate was amplified using eubacterial-specific primers and then sequenced. Based on sequence data analysis, the microorganism, designated NISOC-04, clustered most closely with the members of the genus Stenotrophomonas. Gas chromatography indicated that Stenotrophomonas sp. NISOC-04 utilizes 82% of starting 0.8 mM dibenzothiophene within a 48-h-long exponential growth phase. Growth curve analysis revealed the inability of Stenotrophomonas sp. NISOC-04 to utilize dibenzothiophene (DBT) as the exclusive carbon or carbon/sulfur source. Gibbs' assay showed no 2-hydroxy biphenyl accumulation, but HPLC confirmed the presence of 2-hydroxy biphenyl as the final product of DBT desulfurization. Under sulfur starvation, Stenotrophomonas sp. NISOC-04 produced a huge biomass with untraceable sulfur and utilized atmospheric insignificant sulfur levels.
采集了 Khuzestan 油田(伊朗国家南方石油公司,NISOC)的受原油污染的土壤样本,随后采用先前优化的技术对其进行了筛选,以分离出以 C-S 为目标的二苯并噻吩生物降解微生物。在所分离的菌株中,选择了一个细菌菌株,因为它能够在水相和主要由两相水-汽油组成的介质中以 C-S 为目标生物降解二苯并噻吩。使用细菌特异性引物扩增分离物的 16S rDNA,然后对其进行测序。根据序列数据分析,该微生物被命名为 NISOC-04,与 Stenotrophomonas 属的成员最密切相关。气相色谱表明, Stenotrophomonas sp. NISOC-04 在 48 小时的指数生长期内利用起始浓度为 0.8mM 的二苯并噻吩 82%。生长曲线分析表明, Stenotrophomonas sp. NISOC-04 不能将二苯并噻吩(DBT)作为唯一的碳源或碳/硫源利用。Gibbs 测定表明没有 2-羟基联苯的积累,但 HPLC 证实 2-羟基联苯是 DBT 脱硫的最终产物。在硫饥饿条件下, Stenotrophomonas sp. NISOC-04 产生了大量的生物量,其中硫含量无法检测到,并利用了大气中微不足道的硫含量。