定量稳定性同位素探针技术及其在微生物生态学研究中的应用

定量稳定性同位素探针技术(qSIP)是将生态系统中微生物分类性状与代谢功能联系起来的有效工具,能够定量测定特定环境中单个微生物类群暴露于同位素示踪剂后微生物代谢活动或生长速率。qSIP技术采用定量PCR与高通量测序技术并结合稳定同位素探针技术(SIP),通过向环境样品添加标记底物进行培养,提取微生物生物标记物,利用超高速等密度梯度离心将被同位素标记的重链核酸与未被标记的轻链核酸进行分离,并对所有组分微生物类群进行绝对定量和测序分析,基于GC含量和未标记处理DNA密度曲线量化参与吸收转化的DNA同位素丰度。本文重点阐述qSIP的技术原理、数据分析流程及其在微生物生态学研究中的应用进展,并对该技术存在的问题进行了分析和展望。     

稳定同位素标记核酸法在非培养微生物代谢功能研究中的应用

基于核糖体RNA(rRNA)序列分析的系统发育信息是研究微生物代谢功能的可靠指标之一。复杂环境样本中的微生物利用了稳定同位素标记的营养物后,分离其核酸进行序列分析或检测其核酸中同位素的丰度变化,就可以不必培养分离微生物而揭示出它们的代谢功能。     

环境微生物群落功能研究的新方法和新策略

微生物群落在驱动生物地球化学循环中扮演着重要角色,传统的研究方法可对微生物群落进行遗传结构的解析,但不能有效地与功能研究耦联.概述了近年发展起来的基于核酸和蛋白质水平的分子生物学新方法--环境mRNA 和 rRNA同时荧光原位杂交(FISH)、寡核苷酸微阵列技术(Oligonucleotide Microarray)、 稳定性同位素联合宏基因组学(SIP-enabled Metagenomics)和环境蛋白质组学(Metaproteomics)在环境微生物群落功能研究中的应用,并且对其发展趋势进行了分析和展望.     

马里亚纳海沟共培养细菌多样性动态变化及潜在微生物互作关系

马里亚纳海沟是世界已知最深的海沟,其寡营养、高压、低温、低氧等极端的深海环境孕育出独特的细菌群落结构及多样性特征。选取寡营养培养基对马里亚纳海沟海水及表层沉积物分别进行液体共培养,并在不同培养阶段取样进行高通量测序,分析细菌群落结构组成及其多样性的动态变化,探讨微生物之间可能的互作关系。研究结果表明：液体共培养样品中一共检测到19个门、34个纲、76个目、131个科、227个属的细菌,其中变形菌门（Proteobacteria）和拟杆菌门（Bacteroidetes）为优势菌群,其次为厚壁菌门（Firmicutes）;与其他样品相比,1000米海水样品中细菌群落的多样性最高,并且蓝细菌门（Cyanobacteria）具有更高的相对丰度。共培养样品中细菌丰富度、多样性、群落结构均随培养时间而改变,其中共培养中期样品的细菌多样性较高;表层沉积物样本中,盐单胞菌属（Halomonas）可能由于较强的竞争能力在共培养后期占据优势地位。基因功能预测与代谢通路富集结果显示,随着共培养时间的增加,微生物生长相关的代谢通路丰度明显下降,而与互作相关的代谢通路丰度明显增加。共培养样品检测到的细菌多样性远高于单独分离培养的多样性,仅有少量菌属为单独分离培养与共培养样品均检测到的共有属。综上所述,马里亚纳海沟细菌群落中存在竞争、互利共生的相互作用,共培养法有利于揭示细菌间的互作关系。研究为深渊及深海等极端环境下微生物生态系统组成及维持奠定了理论基础,也为进一步研究极端微生物的生存策略提供了科学指导。     

生物炭-牛粪堆肥中产β-葡聚糖苷酶微生物群落应答碳代谢抑制效应

【背景】在高浓度葡萄糖引起的碳代谢抑制效应下,产β-葡聚糖苷酶(β-glucosidase)功能微生物群落为适应碳代谢压力的变化,会差异化表达糖耐受和非糖耐受的功能基因。在堆肥中添加生物炭可以改变微生物生存的环境,进而影响微生物群落的组成与功能。【目的】分析在不同碳代谢压力下添加生物炭对产β-葡聚糖苷酶功能微生物群落的结构组成与功能的影响。【方法】在生物炭牛粪-稻草堆肥中添加葡萄糖、纤维二糖及β-葡聚糖苷酶抑制剂,构建不同的碳代谢压力。以细菌来源GH1家族的β-葡聚糖苷酶基因为分子标记基因构建基因克隆文库。同时测定羧甲基纤维素酶酶活和β-葡聚糖苷酶酶活。【结果】放线菌、变形菌和拟杆菌是功能微生物群落中的优势菌群。其中,CL处理组变形菌数量有所下降,在添加了抑制剂的处理组中,拟杆菌的数量明显上升。高浓度葡萄糖显著抑制了羧甲基纤维素酶酶活,但对β-葡聚糖苷酶酶活影响不大,其中低浓度纤维二糖的处理可以显著诱导β-葡聚糖苷酶活性。GHCH处理组中β-葡聚糖苷酶表现出高浓度葡萄糖激活特性。【结论】添加生物炭未明显影响参与纤维素降解的功能微生物群落对碳代谢抑制效应的应答。与自然堆肥相比,在添加了生...     

微生物分子生态学发展历史及研究现状

微生物群落多样性是微生物生态学和环境学研究的重点之一。分子生物学方法应用于微生物群落结构分析使得对环境样品中占大多数的不可培养微生物的研究成为了可能。由于功能上高度保守,序列上的不同位置具有不同的变异速率,核糖体RNA（rRNA）是目前在微生物分子生态学上最为有用以及应用最广泛的分子标记,通过rRNA序列比对,可以分析不同分类水平的系统发育关系。元基因组学研究方法通过对环境样品中的各种微生物群落的总的基因组进行分析,充分展示了环境微生物代谢途径,极大地扩展了对微生物的认识。快速发展的高通量测序极大地促进了各项微生物生态学技术的发展,带来了新的突破。     

污水处理过程中微生物群落多样性及其对环境因子响应的研究进展

污水生物处理系统的性能和稳定性与微生物群落结构和动态密切相关。通过深入了解活性污泥中微生物群落结构及其影响因素,有助于提高污水厂污染物的去除效果。在不同污水活性污泥处理系统中细菌群落主要以变形菌、绿弯菌、放线菌、厚壁菌和拟杆菌为功能菌群;活性污泥中寄居的大多数真菌来自于子囊菌门,还有少量担子菌门;古菌以产甲烷菌为主;而病毒中分布最广的噬菌体和致病性病毒是最主要的关注点。本文通过对相关文献分析及总结,综述了进水组成、不同处理工艺、参数(理化参数和运行参数)、地理位置和气候条件等环境因子对活性污泥中细菌、真菌、古菌以及病毒群落组成的影响,尽可能全面地介绍污水厂微生物群落多样性及其对环境因子的响应。同时,对未来研究方向进行探讨,以期能够为活性污泥中功能微生物的应用及调控提供理论和应用基础。     

Biolog方法在环境微生物群落研究中的应用

环境微生物群落研究具有非常重要的理论和应用价值。本文介绍了一种测定微生物代谢的Ｂｉｏｌｏｇ微平板法 ,以及这种新方法在环境微生物群落研究方面的应用成果。1　环境微生物群落研究的意义与手段1 .1　环境微生物群落的研究内容环境微生物是由多个种群 (ｐｏｐｕｌａｔｉｏｎ)组成的微生物群落 (ｃｏｍｍｕｎｉｔｙ) ,不同种群之间存在着共生、互利、共存、竞争等各种复杂的关系 ,在物质循环和能量转化过程中发挥着重要作用。对环境微生物群落的研究可以从微生物的量 ,代谢活性 ,群落结构及代谢功能等几个不同层面上进行。其中 ,微生物…     

餐厨垃圾厌氧消化处理主要过程的微生物群落结构分析

【背景】厌氧消化是我国餐厨垃圾处理的主要方法,微生物在其处理过程中起到关键作用,但是目前对其不同工艺单元微生物群落结构的研究较少。【目的】通过分析各工艺单元的微生物多样性与群落结构,为改进餐厨垃圾资源化处理技术、提高资源利用效率提供科学依据。【方法】采集某餐厨垃圾处理厂油水分离、厌氧发酵、沼渣脱水等3个工艺单元产生的废液样品,采用16S rRNA基因高通量测序技术,研究其菌群组成、丰度、优势菌群及其与环境因子的相关性。【结果】初始油水分离样品中的微生物群落种类相对较少,而经厌氧发酵和沼渣脱水处理后样品中的微生物群落种类较丰富。在门水平上,厚壁菌门(Firmicutes)在各单元样品中所占平均比例最高,为81.1%,其次为拟杆菌门(Bacteroidetes)和绿弯菌门(Chloroflexi),分别占15.81%和4.59%;在属水平上,相对丰度较高的菌属为乳酸菌属(Lactobacillus)、互营单胞菌属(Syntrophomonas)等。餐厨垃圾处理过程中的部分菌属可能具有资源-环境双重属性,例如在沼渣脱水单元相对丰度高达32.67%的假单胞菌属(Pseudomonas),该菌属中既存在少部分致病菌或条件致病菌,也具有生产聚羟基脂肪酸酯的功能菌。影响各组样品微生物群落组成结构最显著的因子是p H值,其次是总糖的含量。【结论】研究明确了典型餐厨垃圾厌氧消化处理工艺单元的微生物群落结构和多样性,并提出了优化处理工艺、强化资源利用效率的建议。     

脂肪酸生物标记法研究零排放猪舍基质垫层微生物群落多样性

用微生物群落脂肪酸生物标记总量,分析零排放猪舍基质垫层微生物群落的数量变化,日本洛东微生物菌种处理组和零排放I号菌种处理组各层微生物脂肪酸生物标记含量变化趋势相近。基质垫层微生物群落脂肪酸生物标记检测出37个生物标记,构成微生物群落的指纹图谱,含量最高的前4个生物标记为：细菌16：00含量为431260,细菌18：1ω9c含量为413075,厌氧细菌18：1ω7c含量为101368,耗氧细菌i15：0含量为90328.不同的生物标记多样性指数在基质垫层不同层次分布不同,可作为衡量特定微生物生物标记功能的一个指标。通过基质垫层微生物脂肪酸生物标记特征指数B的分析,提出了微生物群落分布的特征指标,生物标记特征指数B越高,表明微生物群落中的细菌和真菌含量越高,有利于基质垫层分解粪便排泄物,可作为基质垫层微生物群落变化优劣的特征性指标;通过基质垫层耗氧细菌和厌氧细菌脂肪酸生物标记含量比值,构建发酵指数F,作为基质垫层发酵特性的指标,发酵指数F越高,表明耗氧细菌起的作用越大,反之,耗氧细菌起的作用越小,生物标记的发酵指数可以作为研究粪便排泄物的微生物分解过程的指数。     

High-resolution metagenomics targets specific functional types in complex microbial communities

Most microbes in the biosphere remain unculturable. Whole genome shotgun (WGS) sequencing of environmental DNA (metagenomics) can be used to study the genetic and metabolic properties of natural microbial communities. However, in communities of high complexity, metagenomics fails to link specific microbes to specific ecological functions. To overcome this limitation, we developed a method to target microbial subpopulations by labeling DNA through stable isotope probing (SIP), followed by WGS sequencing. Metagenome analysis of microbes from Lake Washington in Seattle that oxidize single-carbon (C1) compounds shows specific sequence enrichments in response to different C1 substrates, revealing the ecological roles of individual phylotypes. We also demonstrate the utility of our approach by extracting a nearly complete genome of a novel methylotroph, Methylotenera mobilis, reconstructing its metabolism and conducting genome-wide analyses. This high-resolution, targeted metagenomics approach may be applicable to a wide variety of ecosystems.     

Methodological Considerations for the Use of Stable Isotope Probing in Microbial Ecology

Stable isotope probing (SIP) is a method used for labeling uncultivated microorganisms in environmental samples or directly in field studies using substrate enriched with stable isotope (e.g., ¹³C). After consumption of the substrate, the cells of microorganisms that consumed the substrate become enriched in the isotope. Labeled biomarkers, such as phospholipid-derived fatty acid (PLFA), ribosomal RNA, and DNA can be analyzed with a range of molecular and analytical techniques, and used to identify and characterize the organisms that incorporated the substrate. The advantages and disadvantages of PLFA-SIP, RNA-SIP, and DNA-SIP are presented. Using examples from our laboratory and from the literature, we discuss important methodological considerations for a successful SIP experiment.     

The use of stable isotope probing techniques in bioreactor and field studies on bioremediation

Stable isotope probing (SIP) is a molecular technique that allows investigators to follow the flow of atoms in isotopically enriched molecules through complex microbial communities into metabolically active microorganisms. Thus, SIP has immense promise for discovering microorganisms responsible for ecologically important biogeochemical reactions in nature. Applications of SIP to biodegradation and bioremediation processes are still in their infancy. In the past few years, approximately a dozen biodegradation studies using SIP based on the analysis of labeled DNA, RNA or phospholipid fatty acids have been completed. Results have begun to link biomarkers (especially sequences of 16S ribosomal RNA and functional genes) to biodegradation reactions in naturally occurring microbial communities. As extensive compilations of ecologically important genotypes and phenotypes accrue, predictive abilities for contaminant metabolism in particular habitats may be achieved.     

Quantitative tracking of isotope flows in proteomes of microbial communities

Stable isotope probing (SIP) has been used to track nutrient flows in microbial communities, but existing protein-based SIP methods capable of quantifying the degree of label incorporation into peptides and proteins have been demonstrated only by targeting usually less than 100 proteins per sample. Our method automatically (i) identifies the sequence of and (ii) quantifies the degree of heavy atom enrichment for thousands of proteins from microbial community proteome samples. These features make our method suitable for comparing isotopic differences between closely related protein sequences, and for detecting labeling patterns in low-abundance proteins or proteins derived from rare community members. The proteomic SIP method was validated using proteome samples of known stable isotope incorporation levels at 0.4%, ～50%, and ～98%. The method was then used to monitor incorporation of (15)N into established and regrowing microbial biofilms. The results indicate organism-specific migration patterns from established communities into regrowing communities and provide insights into metabolism during biofilm formation. The proteomic SIP method can be extended to many systems to track fluxes of (13)C or (15)N in microbial communities.     

Stable isotope probing - linking microbial identity to function

Stable isotope probing (SIP) is a technique that is used to identify the microorganisms in environmental samples that use a particular growth substrate. The method relies on the incorporation of a substrate that is highly enriched in a stable isotope, such as (13)C, and the identification of active microorganisms by the selective recovery and analysis of isotope-enriched cellular components. DNA and rRNA are the most informative taxonomic biomarkers and (13)C-labelled molecules can be purified from unlabelled nucleic acid by density-gradient centrifugation. The future holds great promise for SIP, particularly when combined with other emerging technologies such as microarrays and metagenomics.     

稳定同位素探针技术在有机污染物生物降解中的应用

稳定同位素探针技术(Stable isotope probing,SIP)是稳定同位素标记技术和各种分子生物学手段相结合的一系列技术总称。将其应用于探查污染物降解的功能微生物,实现了不经过分离培养直接把微生物的代谢功能、微生物间相互作用与微生物种群结合起来,从而克服了传统分离培养的缺陷,扩大了微生物资源的利用空间,具有广阔的发展前景。本文介绍了稳定同位素探针技术的基本原理和技术路线,对常规PLFA-SIP、DNA-SIP、RNA-SIP的特点进行了阐述和对比;综述了SIP在有机污染物——苯系物、多环芳烃、多氯联苯生物降解方面的研究进展,提出SIP应用于根际研究是今后该技术在生物降解研究中的一个发展方向。     

Stable isotope probing with 15N achieved by disentangling the effects of genome G+C content and isotope enrichment on DNA density

Stable isotope probing (SIP) of nucleic acids is a powerful tool that can identify the functional capabilities of noncultivated microorganisms as they occur in microbial communities. While it has been suggested previously that nucleic acid SIP can be performed with 15N, nearly all applications of this technique to date have used 13C. Successful application of SIP using 15N-DNA (15N-DNA-SIP) has been limited, because the maximum shift in buoyant density that can be achieved in CsCl gradients is approximately 0.016 g ml-1 for 15N-labeled DNA, relative to 0.036 g ml-1 for 13C-labeled DNA. In contrast, variation in genome G+C content between microorganisms can result in DNA samples that vary in buoyant density by as much as 0.05 g ml-1. Thus, natural variation in genome G+C content in complex communities prevents the effective separation of 15N-labeled DNA from unlabeled DNA. We describe a method which disentangles the effects of isotope incorporation and genome G+C content on DNA buoyant density and makes it possible to isolate 15N-labeled DNA from heterogeneous mixtures of DNA. This method relies on recovery of "heavy" DNA from primary CsCl density gradients followed by purification of 15N-labeled DNA from unlabeled high-G+C-content DNA in secondary CsCl density gradients containing bis-benzimide. This technique, by providing a means to enhance separation of isotopically labeled DNA from unlabeled DNA, makes it possible to use 15N-labeled compounds effectively in DNA-SIP experiments and also will be effective for removing unlabeled DNA from isotopically labeled DNA in 13C-DNA-SIP applications.     

High-throughput isotopic analysis of RNA microarrays to quantify microbial resource use

Most microorganisms remain uncultivated, and typically their ecological roles must be inferred from diversity and genomic studies. To directly measure functional roles of uncultivated microbes, we developed Chip-stable isotope probing (SIP), a high-sensitivity, high-throughput SIP method performed on a phylogenetic microarray (chip). This approach consists of microbial community incubations with isotopically labeled substrates, hybridization of the extracted community rRNA to a microarray and measurement of isotope incorporation—and therefore substrate use—by secondary ion mass spectrometer imaging (NanoSIMS). Laboratory experiments demonstrated that Chip-SIP can detect isotopic enrichment of 0.5 atom % ¹³C and 0.1 atom % ¹⁵N, thus permitting experiments with short incubation times and low substrate concentrations. We applied Chip-SIP analysis to a natural estuarine community and quantified amino acid, nucleic acid or fatty acid incorporation by 81 distinct microbial taxa, thus demonstrating that resource partitioning occurs with relatively simple organic substrates. The Chip-SIP approach expands the repertoire of stable isotope-enabled methods available to microbial ecologists and provides a means to test genomics-generated hypotheses about biogeochemical function in any natural environment.