首页> 外文期刊>Biology and fertility of soils: Cooperating Journal of the International Society of Soil Science >Fingerprinting methods to approach multitrophic interactions among microflora and microfauna communities in soil
【24h】

Fingerprinting methods to approach multitrophic interactions among microflora and microfauna communities in soil

机译:土壤微生物和动物群落之间多营养相互作用的指纹方法

获取原文
获取原文并翻译 | 示例
       

摘要

The soil functioning and the response of the biota to external perturbations such as organic input are based on multitrophic interactions among a wide range of organisms. However, the various components of the soil microflora and microfauna are rarely addressed in ecological studies. We have developed a molecular approach based on terminal restriction fragment length polymorphism (T-RFLP) analysis to assess the community structures of protozoa and nematodes, together with bacteria and fungi that share the same soil environment. Two soils were characterized by a specific fingerprint for each of the four groups of organisms, showing the potential of all T-RFLP procedures to differentiate the community structures. The response of the soil biota to organic inputs was addressed using T-RFLP fingerprints together with physiological profiles of bacteria communities and global microbial activities and densities. Although the impact of compost or manure on the soil biota was only slightly noticeable from the global parameters measured, it was obvious from the community level analyses. However, the different components of the soil biota were altered to various extents, depending on the group of organisms and the soil-organic matter combination. The potential of the T-RFLP strategy to analyze simultaneously different biotic groups from the same soil DNA extract will facilitate the more systematic integration of eukaryotic organisms in ecological studies to investigate multitrophic interactions among the microflora and microfauna in relation with soil processes.
机译:土壤的功能以及生物群对外部干扰(例如有机输入)的响应均基于多种生物之间的多营养相互作用。但是,生态研究很少涉及土壤微生物区系和微动物区系的各个组成部分。我们已经开发了一种基于末端限制性片段长度多态性(T-RFLP)分析的分子方法,以评估原生动物和线虫以及共享相同土壤环境的细菌和真菌的群落结构。两种土壤的特征是四类生物体中的每一种均具有特定的指纹,显示了所有T-RFLP程序均具有区分群落结构的潜力。使用T-RFLP指纹以及细菌群落的生理概况以及全球微生物活动和密度来解决土壤生物区对有机输入的响应。尽管从整体测量参数来看,堆肥或肥料对土壤生物的影响只有一点点明显,但从群落水平的分析来看,这是显而易见的。然而,取决于生物体的种类和土壤有机物的组合,土壤生物区系的不同组成部分有不同程度的改变。 T-RFLP策略可以同时分析同一土壤DNA提取物中的不同生物类别的潜力,将有助于在生态学研究中更系统地整合真核生物,以研究微生物与动植物之间与土壤过程相关的多营养相互作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号