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转基因作物对土壤微生物群落的影响及主要研究策略 总被引：6，自引：0，他引：6
杨永华 《农业生物技术学报》2011,19(1)
土壤生态系统是农业生态系统安全和农业可持续发展的重要载体,也是人类赖以生存的基础。随着基因工程技术的应用和转基因作物大量种植,在带来重大经济效益的同时,也可能会引发一定的生态风险,包括会对农田土壤生态系统尤其是微生物群落结构和功能产生难以预测的复杂影响。目前这些研究方向已成为土壤生物安全的研究热点。本文简要分析了近年来转基因作物对土壤微生物群落的影响,着重介绍了转基因作物种植影响根际土壤微生物群落多样性的研究进展、土壤微生物群落多样性的研究方法及其评估研究的主要策略等。 相似文献
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污染土壤的微生物多样性研究 总被引：10，自引：0，他引：10
土壤微生物多样性是土壤微生物生态学的重要研究内容，目前已成为国际上生态学发展的崭新方向之一。土壤微生物多样性包括微生物群落功能多样性、结构多样性及分子遗传多样性，是指示土壤生态系统稳定性及其功能的重要传感器。本文基于分离培养以及生物标志分子方法。从不同生态层次上认识微生物多样性，较全面、系统地综合评述国内外污染土壤环境的微生物群落功能、结构及分子遗传多样性的研究进展，并针对新形势下土壤污染所面临的新问题，探讨了近期土壤微生物生态学过程研究的重要手段与科学问题。 相似文献
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微生物在土壤有机质转化和养分循环过程中发挥着重要的调节作用。明确微生物在土壤剖面中的变化规律对于了解微生物群落调控生态系统功能的机制至关重要。以往有关土壤微生物的研究多数局限于表层土壤,而对深层土壤微生物群落多样性和形成机制的研究相对较少。然而,深层土壤微生物在土壤形成、碳固存以及元素化学循环等过程中的作用不容忽视。因此,本文综述了不同生态系统中土壤剖面微生物分布格局的研究进展,分析了微生物丰度、多样性和群落组成在土壤剖面中的分布规律及其与土壤理化指标的关系,阐述了土壤微生物相互作用模式以及装配过程随着土壤深度的变化规律,并对未来的研究重点加以展望,以期为深入认识土壤的形成机制和保护利用好土壤资源提供理论依据。 相似文献
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影响土壤微生物活性与群落结构因素研究进展 总被引：60，自引：4，他引：60
土壤微生物在陆地生态系统中具有重要作用,是整个陆地生态系统物质循环、能量流动的推动者,与陆地生态系统地稳定性密切相关。本文就影响土壤微生物活性与群落结构因素研究进展作了综述,主要内容有:土壤理化性状对土壤微生物群落结构的影响;土壤微生物之间的相互作用,土壤动物多样性,植物多样性对土壤微生物群落结构的影响;不同的经营管理措施对土壤微生物群落结构的影响。并对今后的发展趋势作了探讨,提出深入研究土壤微生物群落结构与其在陆地生态系统中的功能关系,合理调控土壤微生物群落结构,维护整个陆地生态系统稳定的研究方向。 相似文献
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红壤微生物群落结构及其演变影响因素的研究进展 总被引：2，自引：0，他引：2
南方红壤丘陵区面临土壤肥力和生物功能退化问题,研究红壤微生物资源分布及其演变规律是培育红壤生物肥力的理论基础。本文综述了环境和人为因素对红壤微生物群落组成及其演变的影响,提出了红壤微生物群落组成及其功能调控研究的重点。土壤微生物群落组成受历史因素(地理距离、土壤类型)和现代因素(气候和土壤条件的变化)的共同影响,但不同因素间的相对贡献仍不清楚。土地利用方式和耕作施肥的改变均影响了红壤微生物群落的结构特征,但微生物结构和功能在耕作施肥过程中的长期变化规律仍需进一步研究。未来需要加强土壤?根系?微生物系统中生物交互作用及其对养分协同代谢和转化的影响,建立最佳管理措施修复退化红壤的微生物功能。 相似文献
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微生物主导的硝化作用是生态系统中氮素循环的关键过程,其不仅与酸雨、温室气体、水体富营养化等环境问题的发生有关,还作用于土壤中氮素营养的转化,与人类生产生活密切相关。土壤生态系统中进行硝化作用的微生物包括细菌、古细菌、真菌等。这些微生物根据自身能量代谢类型的不同,利用不同的生物酶进行着不同机制的硝化作用。本文综述了目前已报道的生态系统中进行自养(经典自养硝化和全程氨氧化)和异养硝化作用的微生物类群、硝化作用关键酶及其编码基因类型、其在生态系统中多样的分布特征,以及其前沿的分子生态学研究方法。同时对不同类型硝化微生物类群今后的研究热点提出了展望,以期为系统地研究土壤生态系统中硝化微生物提供参考。 相似文献
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选取三江源地区玉树、沱沱河、隆宝、治多及多彩5个研究地,对其土壤微生物群落数量及土壤养分空间分布规律进行了分析研究,为我国高寒草地土壤生态系统多样性和系统变化数据提供科学依据。结果表明:不同土壤层(0~5、5~10和10~15 cm)土壤微生物群落数量表现为细菌放线菌真菌,且细菌数量占绝对优势;各研究地土壤微生物群落主要分布在土壤表层,其数量随土层深度的增加而减少;土壤微生物数量与土壤养分之间存在相关性,影响细菌数量的主要土壤因子是全钾、碱解氮、全氮及有效磷,影响放线菌数量的主要土壤因子是速效钾与全氮,影响真菌数量的主要土壤因子是p H值。 相似文献
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土壤微生物在陆地生态系统多个过程中发挥着重要作用,而城市化过程使得城市及其周边地区土地利用发生剧烈变化,形成了异质性环境梯度,直接或间接地影响了土壤微生物群落的组成和功能,进而影响了其承载的生态系统服务。本文综述了城乡复合生态系统不同景观单元土壤微生物群落的组成特征、主要影响因素及其功能差异,发现城市化对土地利用的改变驱动了土壤微生物群落的组成、结构和功能差异,土地利用、土壤污染物、植被覆盖、土壤性质等因素共同影响土壤微生物群落,并且在不同景观中影响土壤微生物的主导因素有所不同。进一步探讨了土壤微生物的生态服务功能,并分析了不同景观中土壤微生物功能存在的差异性。今后需进一步解析社会—经济—自然复合生态系统格局特征对土壤微生物的影响,揭示城乡复合生态系统不同功能区土壤微生物对土壤生态服务的产生和维持机制,明确变化环境下土壤微生物对土壤安全和人类健康的维持机制,以提升土壤生态服务功能、维护城乡土壤安全和人居环境健康。 相似文献
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典型黑土区坡耕地土壤微生物群落数量的空间分布研究 总被引：1，自引：0，他引：1
选取土壤侵蚀较严重的黑龙江省宾县宾州河流域为研究区,通过采集流域上、中和下游6个典型坡面的坡上、坡中和坡下部土壤样品,分析了坡耕地土壤微生物群落数量在流域和坡面尺度上的分布规律,并比较了土壤微生物群落数量空间分布与土壤侵蚀空间分布的关系。结果表明,在流域尺度上,土壤微生物总数量和细菌数量均表现为:下游>中游>上游土壤真菌数量表现为:上游>下游>中游土壤放线菌数量表现为中游最大,而上游和下游数量相当。在坡面尺度上,土壤微生物总数量和细菌数量均呈现:坡中部<坡上部<坡下部,土壤真菌数量呈现:坡下部<坡中部<坡上部,土壤放线菌数量呈现:坡中部<坡下部<坡上部。研究表明,流域土壤微生物总数量和土壤细菌数量的空间分布皆与侵蚀-沉积速率的空间分布相对应,反映出侵蚀-沉积速率是影响该流域土壤微生物群落数量的主要因素。 相似文献
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Here, we examine soil-borne microbial biogeography as a function of the features that define an American Viticultural Area (AVA), a geographically delimited American wine grape-growing region, defined for its distinguishing features of climate, geology, soils, physical features (topography and water), and elevation. In doing so, we lay a foundation upon which to link the terroir of wine back to the soil-borne microbial communities. The objective of this study is to elucidate the hierarchy of drivers of soil bacterial community structure in wine grape vineyards in Napa Valley, California. We measured differences in the soil bacterial and archaeal community composition and diversity by sequencing the fourth variable region of the small subunit ribosomal RNA gene (16S V4 rDNA). Soil bacterial communities were structured with respect to soil properties and AVA, demonstrating the complexity of soil microbial biogeography at the landscape scale and within the single land-use type. Location and edaphic variables that distinguish AVAs were the strongest explanatory factors for soil microbial community structure. Notably, the relationship with TC and TN of the <53 μm and 53–250 μm soil fractions offers support for the role of bacterial community structure rather than individual taxa on fine soil organic matter content. We reason that AVA, climate, and topography each affect soil microbial communities through their suite of impacts on soil properties. The identification of distinctive soil microbial communities associated with a given AVA lends support to the idea that soil microbial communities form a key in linking wine terroir back to the biotic components of the soil environment, suggesting that the relationship between soil microbial communities and wine terroir should be examined further. 相似文献
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Spatial heterogeneity is an inherent feature of soils that has significant functional implications, particularly when the activities of soil microbial communities are considered. The main goal of this study was to determine the physical–chemical properties best correlated with changes in microbial community composition in an agricultural ecosystem, as part of an effort to better understand what environmental factors control the distribution and organization of soil microbes. In addition, we sought to determine: (i) whether these factors vary depending on the spatial extent considered, and (ii) whether different subsets of the microbial community were linked with different environmental variables. This analysis was conducted in a spatially explicit manner via a series of Mantel and partial Mantel tests to examine the relationship between the microbial community and the soil microenvironment while controlling for any shared spatial structure. Two-hundred soil samples were collected with separation distances ranging from 2.5 cm to 11 m, and the multi-scale spatial distributions of soil carbon (C), nitrogen (N), organic matter (OM), texture, and bacterial abundance were compared with previously published analyses of microbial community structure. The results of the spatial analysis of soil properties were similar to those obtained for the microbial communities, and considerable spatial structure was detected, even at very small scales (i.e., ≤40 cm). A strong link between the microbial community and the soil physical–chemical properties was established, and different subsets of the microbial community responded differently to the various environmental properties. C and N affected the widest portion of the microbial community, while patterns in OM distribution and soil texture were selectively correlated with specific groups of microbes. Collectively, these results demonstrate the value of considering multiple spatial scales when studying community–environment interactions, and that one's interpretation of these relationships is critically dependent on the scale of the investigation and the aspect of the community considered. Understanding how microbial communities develop and organize will help scientists interpret the interplay of dispersal, disturbance, and local dynamics in spatial mosaics, and may have important implications for land management following natural disturbances or human alterations. 相似文献
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Microbial communities exist and are active in a complex 3-D physical framework which can cause a variety of micro-environments to develop that are more or less suitable for microbial growth, activity and survival. If there is a significant microbial biogeography at the pore scale in soil, then the relationship between microbial diversity and ecosystem function is likely to be affected by micro-environmental variations at the pore scale. In this laboratory study we show that there is a significant pore-scale microbial biogeography by labelling microbial communities in different pore size classes of undisturbed soil cores with 13C-labelled fructose (a soluble, labile substrate). This was achieved by adding the substrate solution to the samples at different matric potentials (−100 kPa, −3.15 kPa and −1 kPa; placing the substrate in pores with maximum diameter of 0.97, 9.7 and 97 μm, respectively) and incubating the samples for two weeks. The mineralisation of soil organic carbon and fructose was measured as CO2 and 13C-CO2, respectively, in the jar headspace throughout the incubation. At the end of incubation we analysed the total microbial community structure using PLFA. The structure of microbial communities in different pore size classes was measured by PLFA stable isotope probing. Total PLFA profiles suggested that there was little effect of the incubation conditions on microbial community structure. However, labelled PLFA profiles showed that microbial community structure differed significantly among pore size classes, the differences being due primarily to variations in the abundance of mono-unsaturated lipids (Gram-biomarkers) and of the fungal biomarker (C18:2(9,12)). This is the first evidence for a significant microbial biogeography at the pore scale in undisturbed soil cores. 相似文献
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The spatial ecology of soil microbial communities and their functioning is an understudied aspect of soil microbial ecology. Much of our understanding of the spatial organisation of microbial communities has been obtained at scales that are inappropriate for identifying how microbial functioning and spatial patterns are related. In order to reveal the spatial strategies of soil microorganisms, we measured the microscale spatial distribution of 6 exoenzyme activities (EEA) and related them to the catalytic potential of three soils. The relationship between EEA profiles and microbial community structure was also measured in soil aggregates. All the EEA exhibited scale-invariant spatial clustering. The extent of spatial clustering varied significantly among EEA, suggesting that microbial communities employ different spatial strategies when foraging for different elements. The dispersed distribution of alkaline phosphatase suggests that microorganisms invest more heavily in the acquisition of P. The EEA associated with the C and N cycles, but not the P cycle, were significantly affected by management practices in the loamy soil. A significant negative relationship between the extent of spatial clustering of EEA and the overall intensity of the EEA was identified in the two loamy soils, indicating that the microscale spatial ecology of microbial activity may have a significant impact on biogeochemical cycles. No relationship was found between microbial community structure and EEA profiles in aggregates. However, a number of negative relationships between the relative abundance of certain taxa and the most dispersed EEA (alkaline phosphatase and β-glucosidase) were found, suggesting that these taxa make the EEA products available by means other than the production of exoenzymes (e.g. solubilisation of phosphate through the production of organic acids). 相似文献
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微生物功能多样性信息对于明确不同环境中微生物群落的作用具有重要意义 ,而微生物群落的定量描述一直是微生物学家面临的最艰巨的任务之一。目前 ,以群落水平碳源利用类型为基础的BIOLOG氧化还原技术为研究土壤微生物群落功能多样性提供了一种简单、快速的方法 ,并得以广泛应用。但它仍然是一种以培养为基础的方法 ,显示的代谢多样性类型也不一定反映整个土壤微生物群落的功能多样性。因此 ,这种方法优点明显 ,缺陷也存在 ,并且在应用过程中还有很多关键的操作要点与技巧。本文综述了BIOLOG研究土壤微生物群落功能多样性的原理、BIOLOG研究土壤微生物群落功能多样性的方法与技巧、应用过程中容易产生的问题及可能克服的办法 ,同时还提出了值得进一步研究的问题。旨在促进对BIOLOG测定土壤微生物群落功能多样性的了解 ,为正确运用这种方法开展土壤微生物群落功能多样性研究提供科学依据和理论指导。 相似文献
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Daniel L. Mummey Jeffrey T. Clarke Callie A. Cole Benjamin G. O’Connor James E. Gannon Phillip W. Ramsey 《Soil biology & biochemistry》2010,42(7):1138-1147
Knowledge of how forest management influences soil microbial community interactions is necessary for complete understanding of forest ecology. In this study, soil microbial communities, vegetation characteristics and soil physical and chemical properties were examined across a rectangular 4.57 × 36.58 m sample grid spanning adjacent coniferous forest and clearcut areas. Based on analysis of soil extracted phospholipid fatty acids, total microbial biomass, fungi and Gram-negative bacteria were found to be significantly reduced in soil of the clearcut area relative to the forest. Concurrent with changes in microbial communities, soil macroaggregate stability was reduced in the clearcut area, while no significant differences in soil pH and organic matter content were found. Variography indicated that the range at which spatial autocorrelation between samples was evident (patch size) was greater for all microbial groups analyzed in the clearcut area. Overall, less spatial structure could be resolved in the forest. Variance decomposition using principal coordinates of neighbor matrices spatial variables indicated that soil aggregate stability and vegetation characteristics accounted for significant microbial community spatial variation in analyses that included the entire plot. When clearcut and forest areas were analyzed separately, different environmental variables (pH in the forest area and soil organic matter in the clearcut) were found to account for variation in soil microbial communities, but little of this variation could be ascribed to spatial interactions. Most microbial variation explained by different components of microbial communities occurred at spatial scales other than those analyzed. Fungi accounted for over 50% of the variation in bacteria of the forest area but less than 11% in the clearcut. Conversely, AMF accounted for significant variation in clearcut area, but not forest, bacteria. These results indicate broadly disparate controls on soil microbial community composition in the two systems. We present multiple lines of evidence pointing toward shifts in fungi functional groups as a salient mechanism responsible for qualitative, quantitative and spatial distribution differences in soil microbial communities. 相似文献
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Soil microorganisms are influenced by various abiotic and biotic factors at the field plot scale. Little is known, however, about the factors that determine soil microbial community functional diversity at a larger spatial scale. Here we conducted a regional scale study to assess the driving forces governing soil microbial community functional diversity in a temperate steppe of Hulunbeir, Inner Mongolia, northern China. Redundancy analysis and regression analysis were used to examine the relationships between soil microbial community properties and environmental variables. The results showed that the functional diversity of soil microbial communities was correlated with aboveground plant biomass, root biomass, soil water content and soil N: P ratio, suggesting that plant biomass, soil water availability and soil N availability were major determinants of soil microbial community functional diversity. Since plant biomass can indicate resource availability, which is mainly constrained by soil water availability and N availability in temperate steppes, we consider that soil microbial community functional diversity was mainly controlled by resource availability in temperate steppes at a regional scale. 相似文献
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Varsik Martirosyan Racheli Ehrlich Yaffa Frend Gineta Barness Yosef Steinberger 《Pedobiologia》2013,56(4-6):195-203
A fieldwork was carried out in Caesarea sand dunes, Israel, to determine the influence of fine-scale landscape-patch abiotic-factor heterogeneity on microbial activity in a Mediterranean region. Soil organisms in terrestrial systems are unevenly distributed in time and space, and are often aggregated. Spatio-temporal patchiness in the soil environment is thought to be crucial for the maintenance of soil biodiversity, providing diverse microhabitats that are tightly interwoven with resource partitioning. Determination of a ‘scale unit’ to help understand ecological processes has become one of the important and most debatable problems in recent years. To better understand the distribution of soil microbial communities at multiple spatial scales, a survey was conducted to examine the spatial organization of the community structure in two sandy soil ecosystems. One-hundred forty-four soil samples were collected from two patches 4000 m apart from each other. Basal respiration (CO2 evolution without the addition of any external substrate), microbial biomass, functional diversity, and community-level physiological profile (CLPP) in soil were measured with a MicroResp? system. Soil abiotic analysis was performed by soil standard analytical methods. The results demonstrated that bacterial distributions can be highly structured, even within a habitat that appears to be relatively homogeneous at the plot and field scale. Different subsets of the microbial community were distributed differently across the plot. This is due to spatial heterogeneity associated with soil physical, chemical, and biological properties. Although spatial variability in the distribution of soil microorganisms is generally regarded as random, this variability often has a predictable spatial structure. This study provided evidence that a spatially explicit approach to soil ecology can enable the identification of factors that drive the spatial heterogeneity of populations and activities of soil organisms, at scales ranging from meters to hundreds of meters. Furthermore, there is increasing evidence that spatial soil ecology can yield new insights into the factors that maintain and regulate soil biodiversity, as well as on how the spatial distribution of soil organisms influences plant growth and plant community structure. 相似文献
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Microbial communities vary across the landscape in forest soils, but prediction of their biomass and composition is a difficult challenge due to the large numbers of variables that influence their community structures. Here we examine the use of artificial neural network (ANN) models for extraction of patterns among soil chemical variables and microbial community structures in forest soils from three regions of the Atlantic Forest of Brazil. At each location, variations in soil chemical properties and FAME profiles of microbial community structures were mapped at 20 × 20 m intervals within 10 ha parcels. Geostatistical analyses showed that spatial variability in soil physical and chemical variables could be mapped at scale distances of 20 m, but that FAME profiles representing the microbial communities were highly variable and had no spatial dependence at the same scale in most cases. RDA analysis showed that FAME signatures representing different microbial groups were positively associated with soil pH, OM, P and base cations concentrations, whereas microbial biomass was negatively associated with the same environmental factors. In contrast, ANN models revealed clear relationships between microbial community structures at each parcel location, and generated verifiable predictions of variations in FAME profiles in relation to soil pH, texture, and the relative abundances of base cations. The results suggest that ANN modeling provides a useful approach for describing the relationships between microbial community structures and soil properties in tropical forest soils that were not able to be captured using geostatistical and RDA analyses. 相似文献