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用土壤微生物方法评价重金属Cu的毒性及其时间效应 被引量:12
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作者 杨元根 Paterson E Campbell C 《自然科学进展(国家重点实验室通讯)》 北大核心 2001年第3期243-249,共7页
从微生物特征及其群落结构等方面研究了重金属Cu的土壤毒性及其时间效应。结果表明,Cu进入土壤早期阶段,低浓度对土壤微生物生物量有刺激作用,高浓度起抑制作用;微生物呼吸强度迅速增加,微生物生理生态参数qCO_2升高,C_(mic)/C_(org)降... 从微生物特征及其群落结构等方面研究了重金属Cu的土壤毒性及其时间效应。结果表明,Cu进入土壤早期阶段,低浓度对土壤微生物生物量有刺激作用,高浓度起抑制作用;微生物呼吸强度迅速增加,微生物生理生态参数qCO_2升高,C_(mic)/C_(org)降低;土壤溶液中Cu浓度很低,对发光菌E.Coli有轻度抑制作用,但随时间延长而更不显著;Biolog结果显示,在Cu胁迫下,微生物的群落结构有所改变,对碳源的消耗量增加,速度变快,这种损伤具有长期效应。 展开更多
关键词 微生物特征 时间效应 土壤微生物方法 重金属污染 毒性 微生物牲量 呼吸强率 生理生态参数
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污染土壤的微生物多样性研究
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作者 邢少峰 《生物技术世界》 2015年第11期38-38,共1页
近年来随着农药、工业造成的土壤污染不断加重,污染土壤的微生物多样性已是研究土壤生态学的重要研究方面,在国际上土壤生态学研究上也占据着一定的地位。伴随着土壤污染区域的扩大,而使土壤微生物多样性遭到极大的的影响。本文针对污... 近年来随着农药、工业造成的土壤污染不断加重,污染土壤的微生物多样性已是研究土壤生态学的重要研究方面,在国际上土壤生态学研究上也占据着一定的地位。伴随着土壤污染区域的扩大,而使土壤微生物多样性遭到极大的的影响。本文针对污染的土壤对微生物的多样性影响而进行研究。 展开更多
关键词 土壤的污染源 污染土壤微生物的研究方法 微生物多样性
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Screening of Preprocessing Method of Biolog for Soil Microbial Community Functional Diversity 被引量:2
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作者 党雯 郜春花 +4 位作者 张强 李建华 卢朝东 靳东升 卢晋晶 《Agricultural Science & Technology》 CAS 2015年第10期2247-2251,2255,共6页
As one of the main methods of microbial community functional diversity measurement, biolog method was favored by many researchers for its simple oper- ation, high sensitivity, strong resolution and rich data. But the ... As one of the main methods of microbial community functional diversity measurement, biolog method was favored by many researchers for its simple oper- ation, high sensitivity, strong resolution and rich data. But the preprocessing meth- ods reported in the literatures were not the same. In order to screen the best pre- processing method, this paper took three typical treatments to explore the effect of different preprocessing methods on soil microbial community functional diversity. The results showed that, method B's overall trend of AWCD values was better than A and C's. Method B's microbial utilization of six carbon sources was higher, and the result was relatively stable. The Simpson index, Shannon richness index and Car- bon source utilization richness index of the two treatments were B〉C〉A, while the Mclntosh index and Shannon evenness were not very stable, but the difference of variance analysis was not significant, and the method B was always with a smallest variance. Method B's principal component analysis was better than A and C's. In a word, the method using 250 r/min shaking for 30 minutes and cultivating at 28 ℃ was the best one, because it was simple, convenient, and with good repeatability. 展开更多
关键词 Biolog method Preprocessing method Soil microbial community Func- tional diversity AWCD values
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Monitoring Soil Microbial Activities in Different Cropping Systems Using Combined Methods 被引量:2
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作者 YUAN Zhimin LIU Haijun +3 位作者 HAN Jun SUN Jingjing WU Xiaoying YAO Jun 《Pedosphere》 SCIE CAS CSCD 2017年第1期138-146,共9页
Cropping activities may affect soil microbial activities and biomass,which would affect C and N cycling in soil and thus the crop yields and quality.In the present study,a combination of microcalorimetric,enzyme activ... Cropping activities may affect soil microbial activities and biomass,which would affect C and N cycling in soil and thus the crop yields and quality.In the present study,a combination of microcalorimetric,enzyme activity(sucrase,urease,catalase,and fluorescein diacetate hydrolysis),and real-time polymerase chain reaction(RT-PCR) analyses was used to investigate microbial status of farmland soils,collected from 5 different sites in Huazhong Agriculture University,China.Our results showed that among the 5sites,both positive and negative impacts of cropping activities on soil microbial activity were observed.Enzyme activity analysis showed that cropping activities reduced soil sucrase and urease activities,which would influence the C and N cycles in soil.Much more attentions should be given to microbial status affected by cropping activities in future.According to the correlation analysis,fluorescein diacetate hydrolysis showed a significantly(P < 0.05) negative correlation with the time to reach the maximum power output(R ——0.898),but a significantly(P < 0.05) positive correlation with bacterial gene copy number(R = 0.817).Soil catalase activity also showed a significantly(P < 0.05) positive correlation with bacterial gene copy number(R = 0.965).Using combined methods would provide virtual information of soil microbial status. 展开更多
关键词 cropping activity enzyme activity fluorescein diacetate hydrolysis microbial biomass microealorimetric analysis real-time polymerase chain reaction
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