A combined mass and energy balance to provide bioindicators of soil microbiological quality

In this work, a method is proposed to quantify the efficiency of carbon utilization by soil microbes. Microcalorimetry was used to compute the heat yield (Y(Q/X)) of six soil samples collected in the Amazon. A combined mass and energy balance is developed to quantify the enthalpy of the glucose oxidation reaction (Delta(r)H(s)) and the biomass yield (Y(X/S)) from the experimental values of Y(Q/X). Results were compared by graphical analysis to establish the kinetics of the glucose oxidation and the microbial growth reactions in terms of energy dissipation. The correlations found suggest that the measured values for Y(Q/X) and Delta(r)H(s) are biomass yield dependent. The main environmental factors affecting the kinetics of the glucose oxidation and the microbial growth reactions in soils are the initial microbial population and the percentage of nitrogen of the samples. The comparative study among the samples showed that the deforestation of the Primary forests in the Amazon to establish arable lands, affected the efficiency of the carbon utilization by soil microorganisms.     

The Dry Limit of Microbial Life in the Atacama Desert Revealed by Calorimetric Approaches

The Atacama desert in Chile is one of the driest and most lifeless environments on Earth. It rains possibly once a decade. NASA examined these soils as a model for the Martian environment by comparing their degradation activity with Martian soil and looking for “the dry limit of life”. The existence of heterotrophic bacteria in Atacama soil was demonstrated by DNA extraction and by the isolation of microorganisms. So far, however, no data have been available about the metabolic activities in these soils due to the limitations of the existing methodologies when applied to desert soils. Calorimetry was used to obtain information on the metabolic and thermal properties of eleven soil samples collected at different sites in the Atacama desert. Differential scanning calorimetry and isothermal calorimetry were employed to determine the pyrolysis properties of the carbon‐containing matter and to measure biomass and microbial metabolism. They were compared to other soil properties such as total carbon and nitrogen, carbon to nitrogen ratio and pH. There was measurable organic matter in nine of the eleven samples and the heat of pyrolysis of those soils was correlated to the carbon content. In five of the eleven samples no biomass could be detected and the existence of basal microbial metabolism could not be established because all samples showed endothermic activity, probably from inorganic reactions with water. Six samples showed microbial activation after the addition of glucose. Carbon content, nitrogen content and the microbial activity after glucose amendment were correlated to the altitude and to the average minimum temperature of the sampling sites calculated from meteorological data. The detectable microbial metabolism was more dissipative with increasing altitude and decreasing temperature.     

一种基于BIOLOG代谢指纹分析的油气微生物勘探新方法

【目的】建立基于土壤微生物群落生理功能代谢的油气微生物勘探新方法。【方法】采集新疆玛北油气藏区浅层地表土壤样品45份,非油气藏区样品25份,利用BIOLOG微平板,测定微生物群落代谢活性,采用判别分析模型判断油气藏区微生物异常。【结果】从95种碳源中,筛选到10种能够体现油气藏区与非油气藏区土壤微生物群落结构差异的典型碳源,利用判别函数对试验及对照区进行回判,油气藏区判别正确率为97.8%,非油藏区判别正确率为100%,总判别正确率为98.6%。【结论】BIOLOG技术能高效准确的用于油气藏初步勘测。     

Interaction of N,N,N',N'-tetramethyl-p-phenylenediamine with photosystem II as revealed by thermoluminescence: reduction of the higher oxidation states of the Mn cluster and displacement of plastoquinone from the Q(B) niche

The flash-induced thermoluminescence (TL) technique was used to investigate the action of N,N,N',N'-tetramethyl-p-phenylenediamine (TMPD) on charge recombination in photosystem II (PSII). Addition of low concentrations (muM range) of TMPD to thylakoid samples strongly decreased the yield of TL emanating from S(2)Q(B)(-) and S(3)Q(B)(-) (B-band), S(2)Q(A)(-) (Q-band), and Y(D)(+)Q(A)(-) (C-band) charge pairs. Further, the temperature-dependent decline in the amplitude of chlorophyll fluorescence after a flash of white light was strongly retarded by TMPD when measured in the presence of 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU). Though the period-four oscillation of the B-band emission was conserved in samples treated with TMPD, the flash-dependent yields (Y(n)) were strongly declined. This coincided with an upshift in the maximum yield of the B-band in the period-four oscillation to the next flash. The above characteristics were similar to the action of the ADRY agent, carbonylcyanide m-chlorophenylhydrazone (CCCP). Simulation of the B-band oscillation pattern using the integrated Joliot-Kok model of the S-state transitions and binary oscillations of Q(B) confirmed that TMPD decreased the initial population of PSII centers with an oxidized plastoquinone molecule in the Q(B) niche. It was deduced that the action of TMPD was similar to CCCP, TMPD being able to compete with plastoquinone for binding at the Q(B)-site and to reduce the higher S-states of the Mn cluster.     

Calorimetric investigation of aerobic fermentations

A modified bench scale calorimeter has been employed to determine the heat generated by various microbial strains growing on a range of different substrates, covering degrees of reduction from 3 to 6.13. The results are analyzed, and interpreted in the light of coupled enthalpy and elemental balances. The heat released by the microbial cultures has been found to correlate linearly with other process variables, such as biomass generation and oxygen uptake. The ratio between the heat generated and the biomass formed, the so-called "heat yield" (Y(Q/x)), has been shown both on theoretical and experimental grounds to increase with increasing degree of reduction of the substrate and to decrease with increasing biomass yield. The two effects could be combined into a simple model which permits the amount of heat released per unit of biomass formed to be predicted from the degree of reduction of the substrate as the only independent variable. The ratio between the heat generated and the oxygen taken up was constant at 440 kJ (mol O(2))(-1) throughout all experiments as expected from theoretical considerations for strongly aerobic processes.     

土壤样品长期保存对微生物群落代谢活性和功能类群的影响

【目的】评估土壤长期保存(4个月)对土壤微生物群落代谢活性的影响。【方法】采用Biolog? EcoPlateTM生态板研究4 °C风干保存和?20 °C低温冻存的农田土壤和森林土壤中微生物群落的碳源利用模式。【结果】与新鲜土壤样品相比,长期保存的土壤样品的微生物群落对碳源的利用能力大大降低,其多样性、均匀度和Simpson指数均降低;风干保存和低温冻存两者对土壤微生物的碳源利用的影响没有显著差异;除风干保存的土壤样品中利用多聚物类的微生物类群的代谢活性外,两种保存方法显著降低微生物群落的代谢活性,降低幅度为54.5%–99.8%。【结论】长期保存土壤可能会导致对微生物群落信息的低估,土壤微生物代谢活性研究的最佳样品为新鲜 土壤。     

Genomic and mechanistic insights into the biodegradation of organic pollutants

Several new methodologies have enabled recent studies on the microbial biodegradation mechanisms of organic pollutants. Culture-independent techniques for analysis of the genetic and metabolic potential of natural and model microbial communities that degrade organic pollutants have identified new metabolic pathways and enzymes for aerobic and anaerobic degradation. Furthermore, structural studies of the enzymes involved have revealed the specificities and activities of key catabolic enzymes, such as dioxygenases. Genome sequencing of several biodegradation-relevant microorganisms have provided the first whole-genome insights into the genetic background of the metabolic capability and biodegradation versatility of these organisms. Systems biology approaches are still in their infancy, but are becoming increasingly helpful to unravel, predict and quantify metabolic abilities within particular organisms or microbial consortia.     

The Exotic Legume Tree Species Acacia holosericea Alters Microbial Soil Functionalities and the Structure of the Arbuscular Mycorrhizal Community

The response of microbial functional diversity as well as its resistance to stress or disturbances caused by the introduction of an exotic tree species, Acacia holosericea, ectomycorrhized or not with Pisolithus albus, was examined. The results show that this ectomycorrhizal fungus promotes drastically the growth of this fast-growing tree species in field conditions after 7 years of plantation. Compared to the crop soil surrounding the A. holosericea plantation, this exotic tree species, associated or not with the ectomycorrhizal symbiont, induced strong modifications in soil microbial functionalities (assessed by measuring the patterns of in situ catabolic potential of microbial communities) and reduced soil resistance in response to increasing stress or disturbance (salinity, temperature, and freeze-thaw and wet-dry cycles). In addition, A. holosericea strongly modified the structure of arbuscular mycorrhizal fungus communities. These results show clearly that exotic plants may be responsible for important changes in soil microbiota affecting the structure and functions of microbial communities.     

Metabolomic approach by 1H NMR spectroscopy of serum for the assessment of chronic liver failure in patients with cirrhosis

Assessment of chronic liver failure (CLF) in cirrhotic patients is needed to make therapeutic decisions. A biological score is usually performed, using the Model for End-Stage Liver Disease (MELD), to evaluate CLF. Nevertheless, MELD does not take into account metabolic perturbations produced by liver-function impairment. In contrast, metabolomics can investigate many metabolic perturbations within biological systems. The purpose of this study was to assess whether metabolomic profiles of serum, obtained by proton NMR spectroscopy from cirrhotic patients, are affected by the severity of CLF. An orthogonal projection to latent-structure analysis was performed to compare MELD scores and NMR spectra of 124 patients with cirrhosis. The statistical model obtained showed a good explained variance (R(2)X = 0.87 and R(2)Y = 0.86) and a good predictability (Q(2)Y = 0.64). Metabolomic profiles showed significant differences regarding various metabolites depending of severity of CLF: levels of high-density lipoprotein and phosphocholine resonances were significantly higher in patients with mild CLF compared to severe CLF. Other metabolites such as lactate, pyruvate, glucose, amino acids, and creatinine were significantly higher in patients with severe CLF than mild CLF. Our conclusion is that metabolomic NMR analysis provides new insights into metabolic processes related to the severity of hepatic function impairment in cirrhosis.     

Amino acid residues involved in gating identified in the first membrane-spanning domain of the rat P2X(2) receptor

The first hydrophobic segment of the rat P2X(2) receptor extends from residue Leu(29) to Val(51). In the rat P2X(2) receptor, we mutated amino acids in this segment and adjoining flanking regions (Asp(15) through Thr(60)) individually to cysteine and expressed the constructs in human embryonic kidney cells. Whole-cell recordings were used to measure membrane currents evoked by brief (2-s) applications of ATP (0.3-100 microM). Currents were normal except for Y16C, R34C, Y43C, Y55C, and Q56C (no currents but normal membrane expression by immunohistochemistry), Q37C (small currents), and F44C (normal current but increased sensitivity to ATP, as well as alphabeta-methylene-ATP). We used methanethiosulfonates of positive, negative, or no charge to test the accessibility of the substituted cysteines. D15C, P19C, V23C, V24C, G30C, Q37C, F44C, and V48C were strongly inhibited by neutral, membrane-permeant methanethiosulfonates. Only V48C was also inhibited by positively and negatively charged methanethiosulfonates, consistent with an extracellular position; however, accessibility of V48C was increased by channel opening. V48C could disulfide with I328C, as shown by the large increase in ATP-evoked current caused by reducing agents. The results suggest that Val(48) at the outer end of the first hydrophobic segment takes part in the gating movement of channel opening.     

Effects of livestock grazing intensity on soil biota in a semiarid steppe of Inner Mongolia

Intensive livestock is known to significantly affect soil physical and chemical parameters in steppe ecosystems. However, the effects on soil biological parameters still remain unknown. We hypothesized that intensive grazing would significantly decrease the size and diversity of soil biota due to deterioration of the soil environment and reduction in vegetation cover, while the adapted grazing intensity would improve the biological parameters. Soil samples were collected from five sites with different grazing intensities and history in a semiarid steppe of Inner Mongolia in August 2005. Two sites were long-term ungrazed since 1979 (UG79) and 1999 (UG99), one had been moderately grazed in winter (WG), one continuously grazed moderately (CG) and one long-term site was heavily grazed (HG). Soil microbial biomass carbon (C), basal respiration (BR), catabolic diversity of soil microbial communities, protozoa and nematodes abundance were measured. Soil physicochemical variables were also measured to establish the relationships between soil biological parameters and key soil physical and chemical properties. Soil microbial biomass C, BR, biomass specific respiration (qCO₂) and soil protozoa abundance were significantly lower at the HG site compared to the UG79 site, but no clear differences were found in the other sites. However, soil nematodes abundance increased with increasing grazing intensity, and the abundance of soil amoeba were greater in CG than in the other sites. Principal component analysis (PCA) of Biolog data revealed large differences in catabolic capacity of soil microbial communities between UG79, HG and UG99, WG, CG. However, Shannon??s diversity index did not indicate marked effects of grazing intensity on substrate catabolic community structure. In conclusion, heavy grazing negatively affected soil microbial biomass, activity and protozoan abundance, but positively influenced soil nematodes abundance and did not affect soil microbial catabolic diversity. Based on these results, CG may provide an appropriate grazing intensity to be used in the long term in the semiarid steppe of Inner Mongolia.     

Relationship between plant species diversity and soil microbial functional diversity along a longitudinal gradient in temperate grasslands of Hulunbeir,Inner Mongolia,China

Numerous experiments have been established to examine the effect of plant diversity on the soil microbial community. However, the relationship between plant diversity and microbial functional diversity along broad spatial gradients at a large scale is still unexplored. In this paper, we examined the relationship of plant species diversity with soil microbial biomass C, microbial catabolic activity, catabolic diversity and catabolic richness along a longitudinal gradient in temperate grasslands of Hulunbeir, Inner Mongolia, China. Preliminary detrended correspondence analysis (DCA) indicated that plant composition showed a significant separation along the axis 1, and axis 1 explained the main portion of variability in the data set. Moreover, DCA-axis 1 was significantly correlated with soil microbial biomass C (r = 0.735, P = 0.001), microbial catabolic activity (average well color development; r = 0.775, P < 0.001) and microbial functional diversity (catabolic diversity: r = 0.791, P < 0.001 and catabolic richness: r = 0.812, P < 0.001), which suggested thatsome relationship existed between plant composition and the soil microbial community along the spatial gradient at a large scale. Soil microbial biomass C, microbial catabolic activity, catabolic diversity and catabolic richness showed a significant, linear increase with greater plant species richness. However, many responses that we observed could be explained by greater aboveground plant biomass associated with higher levels of plant diversity, which suggested that plant diversity impacted the soil microbial community mainly through increases in plant production.     

Composition of toluene-degrading microbial communities from soil at different concentrations of toluene.

Toluene-degrading bacteria were isolated from hydrocarbon-contaminated soil by incubating liquid enrichment cultures and agar plate cultures in desiccators in which the vapor pressure of toluene was controlled by dilution with vacuum pump oil. Incubation in desiccators equilibrated with either 100, 10, or 1% (wt/wt) toluene in vacuum pump oil and testing for genomic cross-hybridization resulted in four genomically distinct strains (standards) capable of growth on toluene (strains Cstd1, Cstd2, Cstd5, and Cstd7). The optimal toluene concentrations for growth of these standards on plating media differed considerably. Cstd1 grew best in an atmosphere equilibrated with 0.1% (wt/wt) toluene, but Cstd5 failed to grow in this atmosphere. Conversely, Cstd5 grew well in the presence of 10% (wt/wt) toluene, which inhibited growth of Cstd1. 16S ribosomal DNA sequencing and cross-hybridization analysis indicated that both Cstd1 and Cstd5 are members of the genus Pseudomonas. An analysis of the microbial communities in soil samples that were incubated with 10% (wt/wt) toluene with reverse sample genome probing indicated that Pseudomonas strain Cstd5 was the dominant community member. However, incubation of soil samples with 0.1% (wt/wt) toluene resulted in a community that was dominated by Pseudomonas strain Q7, a toluene degrader that has been described previously (Y. Shen, L. G. Stehmeier, and G. Voordouw, Appl. Environ. Microbiol. 64:637-645, 1998). Q7 was not able to grow by itself in an atmosphere equilibrated with 0.1% (wt/wt) toluene but grew efficiently in coculture with Cstd1, suggesting that toluene or metabolic derivatives of toluene were transferred from Cstd1 to Q7.     

Gas chromatographic metabolic profiling: A sensitive tool for functional microbial ecology

Microbial metabolomics, which consists of a non-targeted analysis of the metabolites released from (‘exometabolome’) or existing in (‘endometabolome’) a cell has mostly been used to study the metabolism of particular microbes. Metabolomes also represent a picture of microbial activity and we suggest that the exometabolome may also contain pertinent information for studying microbial interaction networks. Gas chromatography coupled to mass spectrometry is the most commonly used technique in metabolomics studies. It allows a wide range of metabolites to be detected but requires the derivatisation of compounds prior to detection. This type of non-targeted analysis can introduce biases to the detection and quantification of the different metabolites, particularly at the extraction and derivatisation steps. The aims of this study, therefore, were to quantify the sources of variability and to test the sensitivity of the GC metabolic profiling approach to small environmental changes such as shifts in temperature. The temperature sensitivity of metabolic profiles was compared with that of catabolic profiles obtained using Biolog® microplates. Analytical variability was compared with biological variability by incubating bacterial strains isolated from soil with fructose at 20 °C and by replicating each step of the protocol (incubation, extraction and derivatisation). For both the endo- and the exometabolome, more than 70% of the total variability was of biological origin and principal components analysis clearly separated the strains along the first ordination axis. The endometabolome distinguished bacterial strains at the species level only, whereas separation was evident at the species and group level with the exometabolome. Temperature had a significant but differential effect on the metabolite production of the bacterial strains whilst their catabolic profiles remained relatively unaffected. The exometabolome was more sensitive to temperature shifts than the endometabolome, suggesting that this pool may be of interest for studies in environmental functional ecology.     

Gas chromatographic metabolic profiling: a sensitive tool for functional microbial ecology

Microbial metabolomics, which consists of a non-targeted analysis of the metabolites released from ('exometabolome') or existing in ('endometabolome') a cell has mostly been used to study the metabolism of particular microbes. Metabolomes also represent a picture of microbial activity and we suggest that the exometabolome may also contain pertinent information for studying microbial interaction networks. Gas chromatography coupled to mass spectrometry is the most commonly used technique in metabolomics studies. It allows a wide range of metabolites to be detected but requires the derivatisation of compounds prior to detection. This type of non-targeted analysis can introduce biases to the detection and quantification of the different metabolites, particularly at the extraction and derivatisation steps. The aims of this study, therefore, were to quantify the sources of variability and to test the sensitivity of the GC metabolic profiling approach to small environmental changes such as shifts in temperature. The temperature sensitivity of metabolic profiles was compared with that of catabolic profiles obtained using Biolog microplates. Analytical variability was compared with biological variability by incubating bacterial strains isolated from soil with fructose at 20 degrees C and by replicating each step of the protocol (incubation, extraction and derivatisation). For both the endo- and the exometabolome, more than 70% of the total variability was of biological origin and principal components analysis clearly separated the strains along the first ordination axis. The endometabolome distinguished bacterial strains at the species level only, whereas separation was evident at the species and group level with the exometabolome. Temperature had a significant but differential effect on the metabolite production of the bacterial strains whilst their catabolic profiles remained relatively unaffected. The exometabolome was more sensitive to temperature shifts than the endometabolome, suggesting that this pool may be of interest for studies in environmental functional ecology.     

Functional Potential of Soil Microbial Communities in the Maize Rhizosphere

Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Here, we identified important functional genes that characterize the rhizosphere microbial community to understand metabolic capabilities in the maize rhizosphere using the GeoChip-based functional gene array method. Significant differences in functional gene structure were apparent between rhizosphere and bulk soil microbial communities. Approximately half of the detected gene families were significantly (p<0.05) increased in the rhizosphere. Based on the detected gyrB genes, Gammaproteobacteria, Betaproteobacteria, Firmicutes, Bacteroidetes and Cyanobacteria were most enriched in the rhizosphere compared to those in the bulk soil. The rhizosphere niche also supported greater functional diversity in catabolic pathways. The maize rhizosphere had significantly enriched genes involved in carbon fixation and degradation (especially for hemicelluloses, aromatics and lignin), nitrogen fixation, ammonification, denitrification, polyphosphate biosynthesis and degradation, sulfur reduction and oxidation. This research demonstrates that the maize rhizosphere is a hotspot of genes, mostly originating from dominant soil microbial groups such as Proteobacteria, providing functional capacity for the transformation of labile and recalcitrant organic C, N, P and S compounds.     

Monitoring Impact of a Pesticide Treatment on Bacterial Soil Communities by Metabolic and Genetic Fingerprinting in Addition to Conventional Testing Procedures

Herbogil (dinoterb), a reference herbicide, the mineral oil Oleo (paraffin oil used as an additive to herbicides), and Goltix (metamitron) were taken as model compounds for the study of impacts on microbial soil communities. After the treatment of soil samples, effects on metabolic sum parameters were determined by monitoring substrate-induced respiration (SIR) and dehydrogenase activity, as well as carbon and nitrogen mineralization. These conventional ecotoxicological testing procedures are used in pesticide registration. Inhibition of biomass-related activities and stimulation of nitrogen mineralization were the most significant effects caused by the application of Herbogil. Even though Goltix and Oleo were used at a higher dosage (10 times higher), the application of Goltix resulted in smaller effects and the additive Oleo was the least-active compound, with minor stimulation of test parameters at later observation times. The results served as a background for investigation of the power of “fingerprinting” methods in microbial ecology. Changes in catabolic activities induced by treatments were analyzed by using the 95 carbon sources provided by the BIOLOG system. Variations in the complex metabolic fingerprints demonstrated inhibition of many catabolic pathways after the application of Herbogil. Again, the effects of the other compounds were expressed at much lower levels and comprised stimulations as well as inhibitions. Testing for significance by a multivariate t test indicated that the sensitivity of this method was similar to the sensitivities of the conventional testing procedures. The variation of sensitive carbon sources, as determined by factor weights at different observation times, indicated the dynamics of the community shift induced by the Herbogil treatment in more detail. DNA extractions from soil resulted in a collection of molecules representing the genetic composition of total bacterial communities. Distinct and highly reproducible community patterns, or genetic fingerprints, resulting from application of the different herbicides were obtained by the sequence-specific separation of partial 16S rDNA amplification products in temperature gradient gel electrophoresis. Significant pattern variations were quantified. For detailed analysis, application-responsive bands from the Herbogil and Oleo treatments were sequenced and their tentative phylogenetic positions were identified. Data interpretation and the potentials and biases of the additional observation windows on microbial communities are discussed.     

Evolution of a degradative bacterial consortium during the enrichment of naphtha solvent

A microbial mixed culture able to degrade naphtha solvent, a model of hydrocarbon aromatic mixture, was isolated from a hydrocarbon-polluted soil. Composition of the population was monitored by phenotypic and molecular methods applied on soil DNA, on whole enrichment culture DNA, and on 85 isolated strains. Strains were characterized for their 16S rDNA restriction profiles and for their random amplified polymorphic DNA profiles. Catabolic capabilities were monitored by phenotypic traits and by PCR assays for the presence of the catabolic genes methyl mono-oxygenase ( xylA, M), catechol 2,3 dioxygenase (xylE) and toluene dioxygenase (todC1) of TOL and TOD pathways. Different haplotypes belonging to Pseudomonas putida, Ps. aureofaciens and Ps. aeruginosa were found to degrade aromatic compounds and naphtha solvent. The intrinsic catabolic activity of the microbial population of the polluted site was detected by PCR amplification of the xylE gene directly from soil DNA.     

内参基因加标法定量土壤微生物目标基因绝对拷贝数

【目的】通过荧光定量PCR技术对土壤微生物目标基因进行绝对定量,其定量结果的准确性容易受到DNA提取得率以及腐殖酸抑制性的影响。【方法】采用内参基因加标法,利用构建的突变质粒DNA,对供试水稻土壤样品中的微生物16S r RNA目标基因的绝对拷贝数进行荧光定量PCR检测,用来表征该样品中细菌群落总体丰度。在定量前通过双向引物扩增方法验证突变质粒中的内参基因对供试土壤的特异性。【结果】不同水稻土壤样品的DNA提取量在样品间差异较大。通过内参基因加标法对DNA提取量进行校正,显著提高了16S r RNA基因绝对定量的精确度。不同水稻土壤样品间的变异系数为17.8,与未加标处理相比降低了66.7%。在此基础上,进一步通过内参基因加标法对土壤有机质和含水率均呈现典型空间特征差异的6处亚热带湿地土壤样品中的16S r RNA基因进行绝对定量。16S r RNA基因绝对拷贝数与土壤微生物生物量碳具有显著的线性相关性(R2=0.694,P0.001),表明内参校正后的16S r RNA基因绝对拷贝数可以准确反映单位质量土壤中微生物的丰度。【结论】内参基因加标法可以对DNA提取得率以及腐殖酸对PCR扩增的抑制性进行校正,从而提高绝对定量的准确性。基于内参基因加标法的目标基因绝对定量PCR检测,可作为土壤微生物生物量测量,以及微生物功能基因绝对丰度定量的一种核酸检测方法。     

Aboveground and belowground responses to quality and heterogeneity of organic inputs to the boreal forest

Leaf litter and other organic resources returned to the soil are important regulators of ecological processes in forest ecosystems, and their ecological impacts may be strongly influenced both by their quality and by interactions between coexisting resource types. To date, most studies on effects of resource identity and mixing have only involved leaf litter, despite the fact that other resource types constitute a major input to the soil. We investigated how quality and heterogeneity of organic substrates found in boreal forests affects the activity and community structure of soil microbes, and plant growth. Six organic substrates (wood, charcoal, berries, sporocarps, vertebrate faeces and leaf litter) were added singly or in mixtures of two, three and six resource types to pots containing forest soil (with or without tree seedlings of Betula pendula Roth). The largest positive effects of single substrates on microbial basal respiration (BR), substrate-induced respiration (SIR) and microbial metabolic quotient (qCO₂) were found for nutrient-rich substrates (faeces and sporocarps) or substrates with high sugar-content (berries). Mixing of substrates had no effect on BR or SIR, but decreased qCO₂ or altered the microbial community structure for specific combinations of substrates. In contrast to the niche complementarity hypothesis, microbial catabolic diversity was not stimulated by greater diversity of resources. Seedling growth responses to single substrates were neutral or negative; the inhibition of growth probably resulted largely from microbial competition for nutrients. Substrate mixing enhanced seedling nutrient-uptake and growth for all mixtures containing sporocarps and leaf litter. Overall, plants responded more strongly to resource heterogeneity than microbes, and synergistic effects only occurred when nutrient-rich substrates were present within the substrate mixtures. In particular, our results demonstrate a role for complex and non-additive interactions among previously overlooked resource types returned to the soil in influencing ecosystem functions such as nutrient cycling and plant productivity.