The Biolog system(Biolog Inc. USA,BIS)with Microstation TM V3.5 software were used for rapid identification of several bacterial pathogens causing rice leaf streak and related plant-pathogenic bacteria. The results sh...The Biolog system(Biolog Inc. USA,BIS)with Microstation TM V3.5 software were used for rapid identification of several bacterial pathogens causing rice leaf streak and related plant-pathogenic bacteria. The results showed that 12 of 16 strains tested were correctly identified at species(pathovars) level, and 4 strains at genus level. Cluster analysis using Mlclust program(Biolog) and Proc cluster(SAS release 6.04)process showed that the Biolog catabolic profiling between strains of leersiae bacterial leaf streak(BLS) and ”rice short streak”(eg R1008) was similar, having higher phenotypic similarity with wheat-derived isolates(eg TAS),but differed from rice bacterial blight and rice BLS pathogens. Multivariate statistics were first used to analysis the Biolog data.The result indicated that cluster analysis and principal component(PC) analysis were very useful in testing for significent differences between communties,and that PC analysis was advantageous to find discriminating carbon sourses according to weighted factor loadings. Fig 1, Tab 2, Ref展开更多
Five samples of soil collected from a lead and zinc mine were used to assess the effect of combined contamination of heavy metals on soil bacterial communities using a polyphasic approach including characterization of...Five samples of soil collected from a lead and zinc mine were used to assess the effect of combined contamination of heavy metals on soil bacterial communities using a polyphasic approach including characterization of isolates by culture method, community level catabolic profiling in BIOLOG GN microplates, and genetic community fingerprinting by denaturing gradient gel electrophoresis of 16S rDNA fragments amplified by PCR from community DNA （PCR-DGGE）. The structure of the bacterial community was affected to a certain extent by heavy metals. The PCR-DGGE analysis of 16S rRNA genes showed that there were significant differences in the structure of the microbial community among the soil samples, which were related to the contamination levels. The number of bacteria and the number of denaturing gradient gel electrophoresis （DGGE） bands in the soils increased with increasing distance from the lead and zinc mine tailing, whereas the concentration of lead （Pb） and cadmium （Cd） was decreased. Heavily polluted soils could be characterized by a community that differs from those of lightly polluted soils in richness and structure of dominating bacterial populations. The clustering analysis of the DGGE profiles showed that the bacteria in all the five samples of soil belonged to three clusters. The data from the BIOLOG analysis also showed the same result. This study showed that heavy metal contamination decreased both the biomass and diversity of the bacterial community in soil.展开更多
A combination system of biotrickling filter （BTF） and biofilter （BF）, adopting surfactant-modified clinoptilolite and surfactant- modified wood chip as the media respectively, was applied to treat H2S and NH3 simu...A combination system of biotrickling filter （BTF） and biofilter （BF）, adopting surfactant-modified clinoptilolite and surfactant- modified wood chip as the media respectively, was applied to treat H2S and NH3 simultaneously. The identification and sole carbon sources utilization patterns of isolates in the combination system were studied by Biolog system. The isolates were identified as Bacillus sphaericus, Geobacillus themoglucosidasius （55℃） and Micrococcus luteus （ATCC 9341） in BTF, and Aspergillus sydowii （Bainier ＆ Sartory） Thom＆ Church in BE Among 95 substrate classes supplied by Biolog system, the carboxylic acids and methyl esters had the highest utilization extent for the four species, followed by the amino acids and peptides. The descending sequence of carbon sources utilization capability of isolates was A. sydowii （52.6%）, M. luteus （39.5%）, B. sphaericus （21.6%）, and G. thermoglucosidasius （17.7%）.展开更多
文摘The Biolog system(Biolog Inc. USA,BIS)with Microstation TM V3.5 software were used for rapid identification of several bacterial pathogens causing rice leaf streak and related plant-pathogenic bacteria. The results showed that 12 of 16 strains tested were correctly identified at species(pathovars) level, and 4 strains at genus level. Cluster analysis using Mlclust program(Biolog) and Proc cluster(SAS release 6.04)process showed that the Biolog catabolic profiling between strains of leersiae bacterial leaf streak(BLS) and ”rice short streak”(eg R1008) was similar, having higher phenotypic similarity with wheat-derived isolates(eg TAS),but differed from rice bacterial blight and rice BLS pathogens. Multivariate statistics were first used to analysis the Biolog data.The result indicated that cluster analysis and principal component(PC) analysis were very useful in testing for significent differences between communties,and that PC analysis was advantageous to find discriminating carbon sourses according to weighted factor loadings. Fig 1, Tab 2, Ref
基金Project supported by the National Natural Science Foundation of China (No. 20477051).
文摘Five samples of soil collected from a lead and zinc mine were used to assess the effect of combined contamination of heavy metals on soil bacterial communities using a polyphasic approach including characterization of isolates by culture method, community level catabolic profiling in BIOLOG GN microplates, and genetic community fingerprinting by denaturing gradient gel electrophoresis of 16S rDNA fragments amplified by PCR from community DNA （PCR-DGGE）. The structure of the bacterial community was affected to a certain extent by heavy metals. The PCR-DGGE analysis of 16S rRNA genes showed that there were significant differences in the structure of the microbial community among the soil samples, which were related to the contamination levels. The number of bacteria and the number of denaturing gradient gel electrophoresis （DGGE） bands in the soils increased with increasing distance from the lead and zinc mine tailing, whereas the concentration of lead （Pb） and cadmium （Cd） was decreased. Heavily polluted soils could be characterized by a community that differs from those of lightly polluted soils in richness and structure of dominating bacterial populations. The clustering analysis of the DGGE profiles showed that the bacteria in all the five samples of soil belonged to three clusters. The data from the BIOLOG analysis also showed the same result. This study showed that heavy metal contamination decreased both the biomass and diversity of the bacterial community in soil.
基金Project supported by the Ministry of Construction Science and Technol-ogy Project of China (No. 04-02-168).
文摘A combination system of biotrickling filter （BTF） and biofilter （BF）, adopting surfactant-modified clinoptilolite and surfactant- modified wood chip as the media respectively, was applied to treat H2S and NH3 simultaneously. The identification and sole carbon sources utilization patterns of isolates in the combination system were studied by Biolog system. The isolates were identified as Bacillus sphaericus, Geobacillus themoglucosidasius （55℃） and Micrococcus luteus （ATCC 9341） in BTF, and Aspergillus sydowii （Bainier ＆ Sartory） Thom＆ Church in BE Among 95 substrate classes supplied by Biolog system, the carboxylic acids and methyl esters had the highest utilization extent for the four species, followed by the amino acids and peptides. The descending sequence of carbon sources utilization capability of isolates was A. sydowii （52.6%）, M. luteus （39.5%）, B. sphaericus （21.6%）, and G. thermoglucosidasius （17.7%）.
