污染土壤微生物群落结构多样性及功能多样性测定方法

土壤微生物在促进土壤质量和植物健康方面发挥着重要的作用,土壤微生物群落结构和组成的多样性及其变化在一定程度上反映了土壤质量.为了更好地了解土壤健康状况,非常有必要发展有效的方法来研究污染土壤微生物的多样性、分布以及行为等.回顾了近年来国内外污染土壤微生物群落结构多样性及功能多样性的测定方法,包括生物化学技术和分子生物学技术,现将它们的原理、优缺点、实用性及其发展动态作一阐述,同时指出结合这两种技术可为微生物群落分析提供一个更全面的、精确的方法.     

C:N:P stoichiometry in soil: is there a “Redfield ratio” for the microbial biomass?

Well-constrained carbon:nitrogen:phosphorus (C:N:P) ratios in planktonic biomass, and their importance in advancing our understanding of biological processes and nutrient cycling in marine ecosystems, has motivated ecologists to search for similar patterns in terrestrial ecosystems. Recent analyses indicate the existence of “Redfield-like” ratios in plants, and such data may provide insight into the nature of nutrient limitation in terrestrial ecosystems. We searched for analogous patterns in the soil and the soil microbial biomass by conducting a review of the literature. Although soil is characterized by high biological diversity, structural complexity and spatial heterogeneity, we found remarkably consistent C:N:P ratios in both total soil pools and the soil microbial biomass. Our analysis indicates that, similar to marine phytoplankton, element concentrations of individual phylogenetic groups within the soil microbial community may vary, but on average, atomic C:N:P ratios in both the soil (186:13:1) and the soil microbial biomass (60:7:1) are well-constrained at the global scale. We did see significant variation in soil and microbial element ratios between vegetation types (i.e., forest versus grassland), but in most cases, the similarities in soil and microbial element ratios among sites and across large scales were more apparent than the differences. Consistent microbial biomass element ratios, combined with data linking specific patterns of microbial element stoichiometry with direct evidence of microbial nutrient limitation, suggest that measuring the proportions of C, N and P in the microbial biomass may represent another useful tool for assessing nutrient limitation of ecosystem processes in terrestrial ecosystems.     

Soil Fertility and the Impact of Exotic Invasion on Microbial Communities in Hawaiian Forests

Exotic plant invasions into Hawaiian montane forests have altered many important nutrient cycling processes and pools. Across different ecosystems, researchers are uncovering the mechanisms involved in how invasive plants impact the soil microbial community-the primary mediator of soil nutrient cycling. We examined whether the invasive plant, Hedychium gardnerianum, altered microbial community composition in forests dominated by a native tree, Metrosideros polymorpha, under varying soil nutrient limitations and soil fertility properties within forest plots of the Hawaii long-term substrate age gradient (LSAG). Microbial community lipid analysis revealed that when nutrient limitation (as determined by aboveground net primary production [ANPP]) and soil fertility were taken into account, plant species differentially altered soil microbial community composition. Microbial community characteristics differed under invasive and native plants primarily when N or P was added to the older, highly weathered, P-limited soils. Long-term fertilization with N or P at the P-limited site led to a significant increase in the relative abundance of the saprophytic fungal indicator (18:2 omega 6c,9c) under the invasive plant. In the younger, N-limited soils, plant species played a minor role in influencing soil microbial community composition. We found that the general rhizosphere microbial community structure was determined more by soil fertility than by plant species. This study indicates that although the aggressive invasion of a nutrient-demanding, rapidly decomposable, and invasive plant into Hawaiian forests had large impacts on soil microbial decomposers, relatively little impact occurred on the overall soil microbial community structure. Instead, soil nutrient conditions were more important determinants of the overall microbial community structure within Hawaii's montane forests.     

Biodiversity of soil microbial communities in agricultural systems

The productivity and health of agricultural systems depend greatly upon the functional processes carried out by soil microorganisms and soil microbial communities. The biodiversity of the soil microbial communities and the effect of diversity on the stability of the agricultural system, is unknown. Taxonomic approaches to estimating biodiversity of soil microbial communities are limited by difficulties in defining suitable taxonomic units and the apparent non-culturability of the majority of the microbial species present in the soil. Analysis of functional diversity may be a more meaningful approach but is also limited by the need to culture organisms. Approaches which do not rely on culturing organisms such as fatty acid analysis and 16S/18S rRNA analysis have provided an insight into the extent of genetic diversity within communities and may be useful in the analysis of community structure. Scale effects, including successional processes associated with organic matter decomposition, local effects associated with abiotic soil factors, and regional effects including the effect of agricultural management practices, on the diversity of microbial communities are considered. Their impact is important in relation to the minimum biodiversity required to maintain system function.     

土壤微生物多样性研究方法

概述了研究土壤微生物多样性的主要方法．传统上,土壤微生物群落的分析依赖于培养技术,使用各种培养基最大限度地培养各种微生物群体,但仍只能培养和分离出一小部分土壤微生物群落．使用Biolog分析、磷脂脂肪酸分析和核酸分析等方法,可研究和表征那些现在还不能够被培养的土壤微生物。从而获取关于土壤微生物群落多样性的更多和更完整的信息．     

土壤管理措施及环境因素对土壤微生物多样性影响研究进展

本文综述了土壤管理措施及环境因素对土壤微生物多样性影响的研究进展,并介绍了土壤微生物多样性的研究方法,土壤微生物多样性包括微生物物种多样性、遗传多样性和生态多样性。传统上,土壤微生物群落的分析依赖于培养技术,但使用该技术只能培养和分离出一部分土壤微生物群落。现在国际上普遍使用Biolog分析、磷脂脂肪酸(PLFA)分析和核酸分析等多种现代技术研究和表征土壤微生物多样性。土壤微生物多样性受土壤管理措施和多种环境因素的影响。农药可能使土壤微生物多样性减少或改变其结构和功能;施有机肥有利于维持土壤微生物的多样性及活性;但在施用无机肥的影响上目前的报道有矛盾之处。农业土壤减少耕作可能增加微生物多样性和生物量;轮作可能比单一栽培耕作更有利于维持土壤微生物的多样性及活性。土壤微生物多样性也受土壤有机质、植被、季节变化等因素的影响,且通常遭受干旱、过度放牧、营养缺乏等的胁迫作用。     

A long‐term field experiment of soil transplantation demonstrating the role of contemporary geographic separation in shaping soil microbial community structure

The spatial patterns of microbial communities are largely determined by the combined effects of historical contingencies and contemporary environmental disturbances, but their relative importance remains poorly understood. Empirical biogeographic data currently available are mostly based on the traditional method of observational survey, which typically involves comparing indigenous microbial communities across spatial scales. Here, we report a long‐term soil transplantation experiment, whereby the same two soils (red Acrisol and purple Cambisol from Yingtan) were placed into two geographic locations of ~1000 km apart (i.e., Yingtan in the mid‐subtropical region and Fengqiu in warm‐temperate region; both located in China). Twenty years after the transplantation, the resulting soil microbial communities were subject to high‐throughput 454 pyrosequencing analysis of 16S and 18S rRNA genes. Additionally, bacteria and archaea involved in nitrogen cycling were estimated using clone library analysis of four genes: archaeal amoA, bacterial amoA, nirK, and nifH. Data of subsequent phylogenetic analysis show that bacteria, fungi, and other microbial eukaryotes, as well as the nitrogen cycling genes, are grouped primarily by the factor of geographic location rather than soil type. Moreover, a shift of microbial communities toward those in local soil (i.e., Chao soil in Fengqiu) has been observed. The results thus suggest that the historical effects persistent in the soil microbial communities can be largely erased by contemporary disturbance within a short period of 20 years, implicating weak effects of historical contingencies on the structure and composition of microbial communities in the soil.     

Spatial heterogeneity of eukaryotic microbial communities in an unstudied geothermal diatomaceous biological soil crust: Yellowstone National Park, WY, USA

Knowledge of microbial communities and their inherent heterogeneity has dramatically increased with the widespread use of high-throughput sequencing technologies, and we are learning more about the ecological processes that structure microbial communities across a wide range of environments, as well as the relative scales of importance for describing bacterial communities in natural systems. Little work has been carried out to assess fine-scale eukaryotic microbial heterogeneity in soils. Here, we present findings from a bar-coded 18S rRNA survey of the eukaryotic microbial communities in a previously unstudied geothermal diatomaceous biological soil crust in Yellowstone National Park, WY, USA, in which we explicitly compare microbial community heterogeneity at the particle scale within soil cores. Multivariate analysis of community composition showed that while subsamples from within the same soil core clustered together, community dissimilarity between particles in the same core was high. This study describes a novel soil microbial environment and also adds to our growing understanding of microbial heterogeneity and the scales relevant to the study of soil microbial communities.     

An Absorbing Markov Chain approach to understanding the microbial role in soil carbon stabilization

The number of studies focused on the transformation and sequestration of soil organic carbon (C) has dramatically increased in recent years due to growing interest in understanding the global C cycle. While it is readily accepted that terrestrial C dynamics are heavily influenced by the catabolic and anabolic activities of microorganisms, the incorporation of microbial biomass components into stable soil C pools (via microbial living cells and necromass) has received less attention. Nevertheless, microbial-derived C inputs to soils are now increasingly recognized as playing a far greater role in stabilization of soil organic matter than previously believed. Our understanding, however, is limited by the difficulties associated with studying microbial turnover in soils. Here, we describe the use of an Absorbing Markov Chain (AMC) to model the dynamics of soil C transformations among three microbial states: living microbial biomass, microbial necromass, and C removed from living and dead microbial sources. We find that AMC provides a powerful quantitative approach that allows prediction of how C will be distributed among these three states, and how long it will take for the entire amount of initial C to pass through the biomass and necromass pools and be moved into atmosphere. Further, assuming constant C inputs to the model, we can predict how C is eventually distributed, along with how much C sequestrated in soil is microbial-derived. Our work represents a first step in attempting to quantify the flow of C through microbial pathways, and has the potential to increase our understanding of the microbial role in soil C dynamics.     

Response of Microbial Community Composition and Function to Soil Climate Change

Soil microbial communities mediate critical ecosystem carbon and nutrient cycles. How microbial communities will respond to changes in vegetation and climate, however, are not well understood. We reciprocally transplanted soil cores from under oak canopies and adjacent open grasslands in a California oak–grassland ecosystem to determine how microbial communities respond to changes in the soil environment and the potential consequences for the cycling of carbon. Every 3 months for up to 2 years, we monitored microbial community composition using phospholipid fatty acid analysis (PLFA), microbial biomass, respiration rates, microbial enzyme activities, and the activity of microbial groups by quantifying ¹³C uptake from a universal substrate (pyruvate) into PLFA biomarkers. Soil in the open grassland experienced higher maximum temperatures and lower soil water content than soil under the oak canopies. Soil microbial communities in soil under oak canopies were more sensitive to environmental change than those in adjacent soil from the open grassland. Oak canopy soil communities changed rapidly when cores were transplanted into the open grassland soil environment, but grassland soil communities did not change when transplanted into the oak canopy environment. Similarly, microbial biomass, enzyme activities, and microbial respiration decreased when microbial communities were transplanted from the oak canopy soils to the grassland environment, but not when the grassland communities were transplanted to the oak canopy environment. These data support the hypothesis that microbial community composition and function is altered when microbes are exposed to new extremes in environmental conditions; that is, environmental conditions outside of their “life history” envelopes.     

氯嘧磺隆对土壤微生物群落结构的影响

采用磷脂脂肪酸(PLFA)法研究了黑龙江省苇河地区不同氯嘧磺隆施药历史下土壤微生物群落结构的差异, 并测定了土壤中氯嘧磺隆的残留量.结果表明：不同施药历史下氯嘧磺隆在土壤中的残留量均很低;随着施用氯嘧磺隆年限的增加,土壤微生物的PLFA总量减少, 革兰氏阴性菌/革兰氏阳性菌（GN/GP）和真菌/细菌比降低,土壤微生物的压力指数增加.主成分分析表明,氯嘧磺隆显著改变了大豆田土壤微生物群落结构.     

Seasonal Changes in the Rhizosphere Microbial Communities Associated with Field-Grown Genetically Modified Canola (Brassica napus)

The introduction of transgenic plants into agricultural ecosystems has raised the question of the ecological impact of these plants on nontarget organisms, such as soil bacteria. Although differences in both the genetic structure and the metabolic function of the microbial communities associated with some transgenic plant lines have been established, it remains to be seen whether these differences have an ecological impact on the soil microbial communities. We conducted a 2-year, multiple-site field study in which rhizosphere samples associated with a transgenic canola variety and a conventional canola variety were sampled at six times throughout the growing season. The objectives of this study were to identify differences between the rhizosphere microbial community associated with the transgenic plants and the rhizosphere microbial community associated with the conventional canola plants and to determine whether the differences were permanent or depended on the presence of the plant. Community-level physiological profiles, fatty acid methyl ester profiles, and terminal amplified ribosomal DNA restriction analysis profiles of rhizosphere microbial communities were compared to the profiles of the microbial community associated with an unplanted, fallow field plot. Principal-component analysis showed that there was variation in the microbial community associated with both canola variety and growth season. Importantly, while differences between the microbial communities associated with the transgenic plant variety were observed at several times throughout the growing season, all analyses indicated that when the microbial communities were assessed after winter, there were no differences between microbial communities from field plots that contained harvested transgenic canola plants and microbial communities from field plots that did not contain plants during the field season. Hence, the changes in the microbial community structure associated with genetically modified plants were temporary and did not persist into the next field season.     

Seasonal changes in the rhizosphere microbial communities associated with field-grown genetically modified canola (Brassica napus)

The introduction of transgenic plants into agricultural ecosystems has raised the question of the ecological impact of these plants on nontarget organisms, such as soil bacteria. Although differences in both the genetic structure and the metabolic function of the microbial communities associated with some transgenic plant lines have been established, it remains to be seen whether these differences have an ecological impact on the soil microbial communities. We conducted a 2-year, multiple-site field study in which rhizosphere samples associated with a transgenic canola variety and a conventional canola variety were sampled at six times throughout the growing season. The objectives of this study were to identify differences between the rhizosphere microbial community associated with the transgenic plants and the rhizosphere microbial community associated with the conventional canola plants and to determine whether the differences were permanent or depended on the presence of the plant. Community-level physiological profiles, fatty acid methyl ester profiles, and terminal amplified ribosomal DNA restriction analysis profiles of rhizosphere microbial communities were compared to the profiles of the microbial community associated with an unplanted, fallow field plot. Principal-component analysis showed that there was variation in the microbial community associated with both canola variety and growth season. Importantly, while differences between the microbial communities associated with the transgenic plant variety were observed at several times throughout the growing season, all analyses indicated that when the microbial communities were assessed after winter, there were no differences between microbial communities from field plots that contained harvested transgenic canola plants and microbial communities from field plots that did not contain plants during the field season. Hence, the changes in the microbial community structure associated with genetically modified plants were temporary and did not persist into the next field season.     

坡位对东灵山辽东栎林土壤微生物量的影响

土壤微生物量是陆地生态系统中的重要组成部分,在森林生态系统养分循环和能量转化中扮演着重要的角色。坡位作为重要的地形因子,会影响土壤微环境、土壤理化性质、地上植被的生长以及地下碳输入等,从而影响着土壤微生物量。以北京东灵山海拔1000—1800 m范围内分布的辽东栎林为研究对象,分析相同植被群落中坡位对土壤微生物量空间分布的影响。方差分析结果表明,土壤微生物量碳、氮在各坡位间均无显著差异(P>0.05),而土壤理化性质在各坡位间差异显著(P<0.05),其中,下坡位的土壤含水量、土壤有机碳、土壤全氮显著高于中坡位和上坡位。偏相关分析结果表明,土壤微生物量碳、氮与土壤含水量、土壤有机碳和土壤全氮显著正相关(P<0.05),与草本丰富度显著负相关(P<0.05)。进一步的通径分析结果表明,在上坡位和中坡位,土壤含水量和土壤有机碳是主要的影响因素;而在下坡位,草本丰富度对土壤微生物量的负作用凸显。不同坡位上影响因素的差异可能是导致土壤微生物量在不同坡位间无显著差异的原因。     

长白山不同海拔梯度森林土壤中性糖分布特征

2010年7月,采集长白山北坡5个典型植被带(阔叶红松林、明针叶林、暗针叶林、岳桦林和高山苔原)林下土壤,研究了不同海拔梯度下森林土壤的中性单糖分布、数量及其影响因素,并结合中性糖来源差异探讨土壤有机质的生物化学积累机制.结果表明: 在长白山不同海拔梯度下,森林土壤的中性糖差异显著,中性糖来源碳在土壤有机碳(SOC)中的相对含量为80.55～170.63 mg·g^-1,并且随海拔升高呈递增的趋势.采用多元线性拟合分析发现,生长季平均气温是影响土壤中性糖相对含量的主要因素,低温有助于中性糖的积累.土壤中(半乳糖+甘露糖)/(阿拉伯糖+木糖)为1.62～2.28,且随海拔升高呈增加趋势,说明土壤中微生物来源中性糖的贡献随海拔升高逐渐增加.微生物熵随海拔升高而降低,说明低温条件下微生物活性下降而对外源碳的利用效率提高,植物残体被微生物分解转化后,以微生物同化物的形式固存于土壤中,从而增加了微生物来源中性糖的比例.     

The Impact of Biofumigation and Chemical Fumigation Methods on the Structure and Function of the Soil Microbial Community

Biofumigation (BIOF) is carried out mainly by the incorporation of brassica plant parts into the soil, and this fumigation activity has been linked to their high glucosinolate (GSL) content. GSLs are hydrolyzed by the endogenous enzyme myrosinase to release isothiocyanates (ITCs). A microcosm study was conducted to investigate the effects induced on the soil microbial community by the incorporation of broccoli residues into soil either with (BM) or without (B) added myrosinase and of chemical fumigation, either as soil application of 2-phenylethyl ITC (PITC) or metham sodium (MS). Soil microbial activity was evaluated by measuring fluorescein diacetate hydrolysis and soil respiration. Effects on the structure of the total microbial community were assessed by phospholipid fatty acid analysis, while the impact on important fungal (ascomycetes (ASC)) and bacterial (ammonia-oxidizing bacteria (AOB)) guilds was evaluated by denaturating gradient gel electrophoresis (DGGE). Overall, B, and to a lesser extent BM, stimulated microbial activity and biomass. The diminished effect of BM compared to B was particularly evident in fungi and Gram-negative bacteria and was attributed to rapid ITC release following the myrosinase treatment. PITC did not have a significant effect, whereas an inhibitory effect was observed in the MS-treated soil. DGGE analysis showed that the ASC community was temporarily altered by BIOF treatments and more persistently by the MS treatment, while the structure of the AOB community was not affected by the treatments. Cloning of the ASC community showed that MS application had a deleterious effect on potential plant pathogens like Fusarium, Nectria, and Cladosporium compared to BIOF treatments which did not appear to inhibit them. Our findings indicate that BIOF induces changes on the structure and function of the soil microbial community that are mostly related to microbial substrate availability changes derived from the soil amendment with fresh organic materials.     

高原鼢鼠扰动及恢复年限对高寒草甸土壤养分和微生物功能多样性的影响

为了研究高原鼢鼠扰动后退化高寒草甸恢复演替的动态过程,利用常规实验室分析方法和Biolog-ECO生态板法对青藏高原东缘高寒草甸土壤养分和微生物功能多样性进行分析.结果表明: 高原鼢鼠扰动显著降低了土壤有机质、全氮、速效氮和速效磷含量,对土壤全磷和全钾含量无显著影响;在一定植被恢复年限内,土壤微生物的碳源利用率、Shannon、Pielou和McIntosh指数随着植被恢复年限的增加而升高;主成分分析表明,碳水化合物和氨基酸是土壤微生物利用的主要碳源类型;冗余分析表明,土壤pH、有机质、全氮、速效氮和全钾是影响土壤微生物代谢活性和功能多样性的主要因子.不同植被恢复年限土壤微生物功能多样性的变化可能是对地上植被、土壤微生物群落组成和土壤养分变化的响应.     

黄萎病不同发生程度棉田中土壤微生物多样性

作物根际土壤微生物群落对土壤生态及作物健康至关重要。以棉花黄萎病不同发生程度棉田的土壤为研究对象,采用理化分析、微生物纯培养及高通量测序技术对土壤理化性质及微生物数量、细菌丰度多样性进行综合分析。结果表明:在纯培养条件下,大丽轮枝菌无菌发酵滤液对细菌生长有明显的抑制作用;棉田接种大丽轮枝菌对土壤中细菌、真菌、放线菌的数量及细菌菌群丰度多样性未产生明显影响,不同采样时间的土壤中细菌菌群结构差异更大。土壤中大丽轮枝菌微菌核数量与棉花黄萎病的发生程度呈显著正相关。土壤肥力对土壤中微生物数量起主导作用,而水稻-棉花轮作能够使棉田有效降盐、减病、改善土壤肥力。通过生物防治、作物轮作、深翻等调控措施增加土壤中有益菌群数量、改善土壤生态、降低棉田土壤中大丽轮枝菌菌源数量是减轻棉花黄萎病危害的基础。     

土壤微生物碳素利用效率研究进展

土壤微生物碳素利用效率(CUE)是指微生物将吸收的碳(C)转化为自身生物量C的效率,也称为微生物的生长效率。土壤微生物CUE是生态系统C循环中的重要生理生态学参数,影响着生态系统的C固持、周转、土壤矿化以及温室气体排放等过程。在全球环境变化背景下,认识土壤微生物CUE的变异及其影响机制,对于更好的认识生态系统C循环过程及其对全球变化的响应具有重要意义。概述了CUE的定义及其测定方法,重点综述和分析土壤微生物CUE的变异及影响因素取得的研究进展。基于现有研究的分析得出,土壤微生物CUE通常表示为微生物的生长与吸收的比值,分为基于微生物生长速率、微生物生物量、底物吸收速率和底物浓度变化等方法进行测定。土壤微生物CUE在0.2-0.8的范围内变化,这种变异主要受到来自热力学、生态环境因子、底物养分质量和有效性、化学计量平衡以及微生物群落组成的影响。今后土壤微生物CUE的研究应加强对微量代谢组分的定量分析,生物和环境要素交互影响的调控机理解析,以及微生物动态生理响应过程的碳循环模型优化。     

长期模拟升温对崇明东滩湿地土壤微生物生物量的影响

以崇明东滩芦苇湿地为对象,采用开顶室生长箱(Open top chambers OTCs)原位模拟大气升温试验,研究了连续升温8a对崇明东滩湿地0—40cm土层土壤微生物生物量碳氮含量的影响。结果表明:连续升温显著提高了崇明东滩湿地土壤微生物生物量碳氮含量,从土壤表层到深层(0—10,10—20,20—30,30—40cm),微生物生物量碳分别增加了39.32%、70.79%、65.20%、74.09%,微生物生物量氮分别增加了66.46%、178.27%、47.24%、64.11%。但升温对土壤微生物生物量的影响因不同土层和不同季节并未表现出统一的规律,长期模拟升温显著提高4月0—20cm土层和7月0—40cm土层微生物生物量碳氮含量,对10月0—40cm土层微生物生物量碳含量没有影响,但是显著提高了10月0—40cm土层微生物生物量氮含量,同时,微生物生物量碳氮比在7月也显著提高。相关分析表明:无论在升温条件还是在对照条件下,土壤温度、含水量、总氮与土壤微生物生物量碳氮及微生物生物量碳氮比均无相关关系,升温条件下,有机碳与微生物生物量碳氮含量以及微生物生物量碳氮比呈显著正相关,但是在对照条件下有机碳与微生物生物量碳氮含量以及微生物生物量碳氮比呈显著负相关。因此,土壤有机碳是影响土壤微生物生物量碳氮含量对长期模拟升温响应的重要生态因子。