首页 | 本学科首页   官方微博 | 高级检索  
   检索      

土壤微生物总活性研究方法进展
引用本文:车荣晓,王芳,王艳芬,邓永翠,张静,马双,崔骁勇.土壤微生物总活性研究方法进展[J].生态学报,2016,36(8):2103-2112.
作者姓名:车荣晓  王芳  王艳芬  邓永翠  张静  马双  崔骁勇
作者单位:中国科学院大学, 北京 100049;格里菲斯大学, 布里斯班 4111,中国科学院大学, 北京 100049,中国科学院大学, 北京 100049,南京师范大学, 南京 210023,中国科学院大学, 北京 100049,中国科学院大学, 北京 100049,中国科学院大学, 北京 100049
基金项目:国家自然科学基金项目(41230750); 中国科学院战略先导专项B课题(XDB05010200)
摘    要:微生物总活性是指在某一时段内微生物所有生命活动的总和,它直接决定着微生物行使生理、生态功能的能力,是微生物学研究的热点,也是难点。迄今为止,还没有建立直接测定微生物总活性的方法,只能用一些相关指标来间接反映它。目前常用的指标主要包括微生物的呼吸速率、生长速率以及胞内RNA含量等。与其它一些基质和环境相比,测定土壤中的微生物总活性更为困难。通过总结研究土壤微生物总活性常用的3种方法,在简略概括传统的土壤微生物呼吸测定法的基础上,详细介绍了放射性同位素标记法和RNA直接表征法的原理和操作流程,整理归纳了一些重要应用案例,比较分析了不同方法的优缺点,以期为选择研究土壤微生物总活性的适宜方法提供依据。

关 键 词:土壤微生物  微生物总活性  土壤微生物呼吸  微生物生长活性  土壤RNA
收稿时间:2014/10/26 0:00:00
修稿时间:2016/2/1 0:00:00

A reviewon the methods for measuring total microbial activity in soils
CHE Rongxiao,WANG Fang,WANG Yanfen,DENG Yongcui,ZHANG Jing,MA Shuang and CUI Xiaoyong.A reviewon the methods for measuring total microbial activity in soils[J].Acta Ecologica Sinica,2016,36(8):2103-2112.
Authors:CHE Rongxiao  WANG Fang  WANG Yanfen  DENG Yongcui  ZHANG Jing  MA Shuang and CUI Xiaoyong
Institution:University of Chinese Academy of Sciences, Beijing 100049, China;Griffith University, Brisbane 4111, Australia,University of Chinese Academy of Sciences, Beijing 100049, China,University of Chinese Academy of Sciences, Beijing 100049, China,Nanjing Normal University, Nanjing 210023, China,University of Chinese Academy of Sciences, Beijing 100049, China,University of Chinese Academy of Sciences, Beijing 100049, China and University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Total microbial activity (TMA) in soils is vital for understanding the roles of microorganisms in ecosystem processes. It can be defined as the sum of physiological activities of all the microbes at a given moment. As TMA is difficult to measure directly, a series of proxies, such as respiration rates, growth rates, and cellular RNA concentration, have been proposed. Here, methods used to measure soil TMA are synthesized and compared. (1) Respiration may be the process most closely related to life activities. Thus, respiration rates are the most commonly used proxies of soil TMA. The main limitation is that current methods to determine respiration rates usually cannot accurately reflect actual respiration rates. When respiration rates are measured using CO2 production or O2 consumption rates, they indicate carbon mineralization or aerobic respiration rates, respectively. (2) Microbes with higher growth rates are usually more active. Thus, growth rates are also widely used to indicate soil TMA. As biomacromolecule synthesis is approximately proportional to microbial growth rates, incorporation of radioactive isotope labeled precursors (i.e., thymidine, leucine, and acetate) can be employed to estimate microbe growth rates. Generally, trace radioactively labeled precursors are added to slurries (traditional methods) or extracted microbial suspensions (Bååth''s methods). After a brief incubation, microbes are killed and the corresponding biomacromolecules are extracted to measure their radioactivity. Thymidine and leucine incorporation are commonly used to measure heterotrophic bacterial growth rates, while acetate incorporation is used to estimate growth rates of saprotrophic fungi. Radioactive isotope labeling methods are robust tools to estimate the growth rates of soil microbes. However, one critical problem is that TMA includes both growth activity and non-growth activity, whereas these methods only reflect the former. (3) Evidently, none of the methods based on respiration rates or incorporation of radioactive isotope labeled precursors can accurately link microbial activity with their identities. However, this issue can be resolved through using methods based on RNA. RNA correlates closely with protein synthesis, which is involved in most metabolic processes. Therefore, RNA concentration is assumed an ideal indicator of microbial activity. Generally, mRNA can be used to indicate the activity of specific metabolic processes, including nitrogen fixation and denitrification, whereas rRNA is a proxy of soil TMA. As cellular concentrations of small subunit rRNA (SSU rRNA) are proportional to total cellular rRNA concentrations, SSU rRNA copies can serve as an indicator of soil TMA and the ratio of SSU rRNA copies to SSU rRNA gene copies can be used to determine average microbial activity in soil. Additionally, active microbial community structure can be illustrated using profiling methods, such as clone library, T-RFLP, and high-throughput sequencing, based on SSU rRNA. These approaches can simultaneously identify soil microbes and their activity via in situ measurements. However, there is still no adequate evidence to support the assertion that the methods based on SSU rRNA can accurately reflect microbial activity, especially for non-growth activity. In conclusion, none of these methods are perfect to determine soil TMA; and a combination of suitable methods should be selected for individual ecosystems.
Keywords:soil microbes  total microbial activity  soil microbial respiration  microbial growth activity  soil RNA
本文献已被 CNKI 等数据库收录!
点击此处可从《生态学报》浏览原始摘要信息
点击此处可从《生态学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号