稳定性同位素核酸探针技术DNA-SIP 原理与应用

稳定性同位素核酸探针技术DNA-SIP(Stable isotope probing),是将复杂环境中微生物物种组成及其生理功能耦合分析的有力工具.微生物的体积在μm尺度,因此,自然环境中微生物群落在μm尺度下生理过程的发生、发展,其新陈代谢物质在环境中累积与消减的动力学变化规律,形成了微生物生理生态过程,决定了不同尺度下生态系统物质和能量的良性循环.利用稳定性同位素示踪复杂环境中微生物基因组DNA,实现了单一微生物生理过程研究向微生物群落生理生态研究的转变,能在更高更复杂的整体水平上定向发掘重要微生物资源,推动微生物生理生态学和生物技术开发应用.本文重点探讨了DNA-SIP的技术原理、主要技术瓶颈及对策,初步展望了DNA-SIP为基础的环境微生物基因组学发展趋势.     

宏基因组技术在开发未培养环境微生物基因资源中的应用

环境微生物宏基因组是一个巨大的基因资源库,但是仅有0.1%～1%的微生物在现有技术条件下是可培养的,因此致使未培养微生物基因资源的开发利用受到限制.宏基因组技术直接提取环境样品总DNA,避开了微生物分离培养的问题,极大扩展了微生物资源的利用空间,增加了获得新生物活性物质的机会.简要介绍了宏基因组的概念及宏基因组克隆技术的基本操作流程和技术要点,重点阐述了目的基因富集、核酸提取、载体和宿主系统选择、宏基因组文库筛选等"瓶颈"技术的研究进展.目的基因富集技术主要包括稳定同位素探针(SIP)、抑制消减杂交(SSH)和差异显示(DD)等.基因文库筛选分为序列依赖性筛选和非序列依赖性筛选,其中序列依赖性筛选包括特定基因PCR、反转录PCR (RT-PCR)、DNA微阵、亲和捕获等技术;非序列依赖性筛选主要指基于基因表达活性筛选和基因"陷阱"技术等.此外,介绍了一些近年来通过构建宏基因组文库筛选目的基因的应用实例.     

宏基因组与宏基因组学

宏基因组学诞生于上世纪90年代,是指不经过微生物培养阶段,采用直接提取环境中总DNA的方法,对微生物基因总和进行研究的一门新学科.宏基因组技术的出现,使得人们对占微生物总体99%以上不可培养微生物的研究成为现实,微生物基因的可探测空间显著增大.总的来说,目前宏基因组技术的应用主要分为两个方面:一方面是筛选功能基因,开发具有所需功能的蛋白;另一方面是通过对宏基因组文库进行分析,探讨在各种环境下微生物间相互作用和微生物与周围环境间相互影响的规律,以便我们能更加客观、全面地认识微生物世界.在宏基因组技术的应用范围被不断扩展的同时,围绕着宏基因组文库的构建和筛选、测序和分析等方面的研究已成为宏基因组学发展的主要推动力,宏基因组技术的进步将不断提升其应用价值.     

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。     

宏基因组学技术在酶开发方面的应用

宏基因组技术是近些年发展起来的生物新技术。其针对环境样本中的全部微生物基因组DNA开展研究,可以覆盖过去无法研究的不可培养微生物,极大地拓宽了研究的广度,因而,一经提出就得到广泛应用,并取得丰富成果。本文主要针对宏基因组技术在酶开发方面的有关应用进行综述。     

宏基因组学在微生物活性物质筛选中的应用

采用传统分离培养筛选微生物新活性物质的方法受到很大制约,自然界99%以上的微生物不能培养,其资源开发受到很大限制。环境微生物宏基因组技术应用避开了微生物分离纯培养问题,极大拓展了微生物资源的利用空间,增加获得新活性物质的机会和途径。本文着重介绍宏基因组的概念、研究策略包括DNA提取、文库构建与筛选等及在微生物活性物质筛选中的应用,并对宏基因组研究中存在的问题进行探讨。     

宏基因组学与动物病原微生物检测

宏基因组学（ metagenome）是直接从土壤、海水、人及动物胃肠道、口腔、呼吸道、皮肤等环境中获取样品DNA,利用载体将其克隆到替代宿主细胞中构建宏基因文库,以高通量检测为主要技术来研究特定环境中全部微生物的基因组及筛选活性物质和基因的新兴学科。利用宏基因组学技术不仅能够有效地检测特定环境的微生物群落结构,扩展了微生物资源的利用空间,发展了新兴的高通量检测技术,丰富了生物信息学内容。基于宏基因组学研究方法在环境微生物研究中的优势,对近年来相关领域、方法及其在人及动物病原微生物研究中的应用进行综述,以期将此方法用于实验动物病原微生物的调查分析及动物疫情、生物安全的监测。     

宏基因组重叠群分箱方法研究综述

宏基因组学技术可以直接从环境中提取微生物的全部遗传物质,而不需要像传统方法一样在培养基上纯培养。这种技术的出现为科学家对微生物群落的结构和功能的认识提供了重要的方法,同时对疾病的诊治、环境的治理以及生命的认识具有重大的意义。从环境中提取出微生物全部遗传物质,对其进行测序从而得到它们的reads片段,通过reads组装工具可以进一步组装成重叠群片段。对重叠群片段进行分箱,可以从宏基因组样本中重建出更多完整的基因。分箱效果的好坏直接影响到后续的生物分析,因此如何将这些含有不同微生物基因混合的重叠群序列进行有效的分箱成为了宏基因组学研究的热点和难点。机器学习方法被广泛应用于宏基因组重叠群分箱,通常分为有监督重叠群分类方法和无监督重叠群聚类方法。该综述针对宏基因组重叠群分箱方法进行了较为全面的阐述,深入剖析了重叠群分类方法与聚类方法,发现其存在分类准确率较低、分箱时间较长、难以从复杂数据集中重建更多微生物基因等问题,并对未来重叠群分箱方法的研究和发展进行了展望。作者建议可以使用半监督学习、集成学习以及深度学习方法,并采用更有效的数据特征表示等途径来提高分箱效果。     

宏基因组学技术在痤疮研究中的应用进展

高通量测序技术的发展提高了人们对微生物组的认识。宏基因组学技术因其全面和深入的分析功能被广泛应用于各种环境微生物组的研究中,尤其在阐明各种疾病与人体微生物组的关系中,宏基因组学技术具有重要作用。痤疮作为一种常见的皮肤疾病,严重影响人们皮肤美观度和心理健康。利用宏基因组学技术挖掘皮肤微生物与痤疮的关系,将有助于痤疮发病机理的研究和临床治疗方法的改进。通过介绍宏基因组学技术的发展背景、概述及其应用研究进展,探讨皮肤微生物与痤疮的关系,综述宏基因组学技术在痤疮研究中的应用现状,并总结目前宏基因组学技术在皮肤疾病研究中存在的问题,旨在为痤疮的宏基因组研究提供参考。     

宏基因组学技术在微生物功能酶开发中的应用

宏基因组学技术以特定环境样品中微生物复杂群落的基因组总和为研究对象,突破了传统微生物纯培养方法的局限,为不可培养微生物中丰富的基因资源的开发和利用提供了强有力的工具,已经取得了令人瞩目的研究进展。对宏基因组学技术及其在微生物功能酶新基因发现中的应用进行综述。     

A liquid chromatography - mass spectrometry method to measure ¹³C-isotope enrichment for DNA stable-isotope probing

DNA stable-isotope probing (DNA-SIP) is a cultivation-independent technique that makes it possible to associate metabolic function and taxonomic identity in a wide range of terrestrial and aquatic environments. In DNA-SIP, DNA is labeled via the assimilation of a labeled growth substrate that is subsequently used to identify microorganisms involved in assimilation of the substrate. However, the labeling time has to be sufficient to obtain labeled DNA but not so long such that cross-feeding of 13C-labeled metabolites from the primary consumers to nontarget species can occur. Confirmation that the DNA is isotopically labeled in DNA-SIP assays can be achieved using an isotope ratio mass spectrometer. In this study, we describe the development of a method using liquid chromatography (HPLC) coupled to a quadrupole mass spectrometer (QMS) to measure the 13C enrichment of thymine incorporated into DNA in Escherichia coli cultures fed with [13C]acetate. The method involved the hydrolysis of DNA extracted from the cultures that released the nucleotides, followed by the separation of the thymine by HPLC on a reverse-phase C? column in isocratic elution mode and the detection and quantification of 13C-labeled thymine by QMS. To mimic a DNA-SIP assay, a DNA mixture was made using 13C-labeled E. coli DNA with DNA extracted from five bacterial species. The HPLC-MS method was able to measure the correct proportion of 13C-DNA in the mix. This method can then be used as an alternative to the use of isotope ratio mass spectrometry in DNA-SIP assays.     

Development of a SYBR safe technique for the sensitive detection of DNA in cesium chloride density gradients for stable isotope probing assays

SYBR safe, a fluorescent nucleic acid stain, was evaluated as a replacement for ethidium bromide (EtBr) in cesium chloride (CsCl) density gradients for DNA stable isotope probing (DNA-SIP) assays. The separation of 12C- and 13C-labelled DNA using SYBR safe gave similar results to those obtained using EtBr with pure cultures and environmental samples exposed to a 13C-labelled substrate, while the detection limit of DNA was enhanced by the use of SYBR safe by at least 5 times. The results demonstrated that SYBR safe is a safe, sensitive and effective alternative to the use of ethidium bromide in CsCl density gradients for DNA-SIP assays.     

Metagenomics for broad and improved parasite detection: a proof-of-concept study using swine faecal samples

Efficient and reliable identification of emerging pathogens is crucial for the design and implementation of timely and proportionate control strategies. This is difficult if the pathogen is so far unknown or only distantly related with known pathogens. Diagnostic metagenomics – an undirected, broad and sensitive method for the efficient identification of pathogens – was frequently used for virus and bacteria detection, but seldom applied to parasite identification. Here, metagenomics datasets prepared from swine faeces using an unbiased sample processing approach with RNA serving as starting material were re-analysed with respect to parasite detection. The taxonomic identification tool RIEMS, used for initial detection, provided basic hints on potential pathogens contained in the datasets. The suspected parasites/intestinal protists (Blastocystis, Entamoeba, Iodamoeba, Neobalantidium, Tetratrichomonas) were verified using subsequently applied reference mapping analyses on the base of rRNA sequences. Nearly full-length gene sequences could be extracted from the RNA-derived datasets. In the case of Blastocystis, subtyping was possible with subtype (ST)15 discovered for the first known time in swine faeces. Using RIEMS, some of the suspected candidates turned out to be false-positives caused by the poor status of sequences in publicly available databases. Altogether, 11 different species/STs of parasites/intestinal protists were detected in 34 out of 41 datasets extracted from metagenomics data. The approach operates without any primer bias that typically hampers the analysis of amplicon-based approaches, and allows the detection and taxonomic classification including subtyping of protist and metazoan endobionts (parasites, commensals or mutualists) based on an abundant biomarker, the 18S rRNA. The generic nature of the approach also allows evaluation of interdependencies that induce mutualistic or pathogenic effects that are often not clear for many intestinal protists and perhaps other parasites. Thus, metagenomics has the potential for generic pathogen identification beyond the characterisation of viruses and bacteria when starting from RNA instead of DNA.     

DNA Stable-Isotope Probing (DNA-SIP)

DNA stable-isotope probing (DNA-SIP) is a powerful technique for identifying active microorganisms that assimilate particular carbon substrates and nutrients into cellular biomass. As such, this cultivation-independent technique has been an important methodology for assigning metabolic function to the diverse communities inhabiting a wide range of terrestrial and aquatic environments. Following the incubation of an environmental sample with stable-isotope labelled compounds, extracted nucleic acid is subjected to density gradient ultracentrifugation and subsequent gradient fractionation to separate nucleic acids of differing densities. Purification of DNA from cesium chloride retrieves labelled and unlabelled DNA for subsequent molecular characterization (e.g. fingerprinting, microarrays, clone libraries, metagenomics). This JoVE video protocol provides visual step-by-step explanations of the protocol for density gradient ultracentrifugation, gradient fractionation and recovery of labelled DNA. The protocol also includes sample SIP data and highlights important tips and cautions that must be considered to ensure a successful DNA-SIP analysis.Download video file.^{(159M, mp4)}     

Revealing the community and metabolic potential of active methanotrophs by targeted metagenomics in the Zoige wetland of the Tibetan Plateau

The Zoige wetland of the Tibetan Plateau is one of the largest alpine wetlands in the world and a major emission source of methane. Methane oxidation by methanotrophs can counteract the global warming effect of methane released in the wetlands. Understanding methanotroph activity, diversity and metabolism at the molecular level can guide the isolation of the uncultured microorganisms and inform strategy-making decisions and policies to counteract global warming in this unique ecosystem. Here we applied DNA stable isotope probing using ¹³C-labelled methane to label the genomes of active methanotrophs, examine the methane oxidation potential and recover metagenome-assembled genomes (MAGs) of active methanotrophs. We found that gammaproteobacteria of type I methanotrophs are responsible for methane oxidation in the wetland. We recovered two phylogenetically novel methanotroph MAGs distantly related to extant Methylobacter and Methylovulum. They belong to type I methanotrophs of gammaproteobacteria, contain both mxaF and xoxF types of methanol dehydrogenase coding genes, and participate in methane oxidation via H₄MPT and RuMP pathways. Overall, the community structure of active methanotrophs and their methanotrophic pathways revealed by DNA-SIP metagenomics and retrieved methanotroph MAGs highlight the importance of methanotrophs in suppressing methane emission in the wetland under the scenario of global warming.     

A metagenomic assessment of microbial eukaryotic diversity in the global ocean

Surveying microbial diversity and function is accomplished by combining complementary molecular tools. Among them, metagenomics is a PCR free approach that contains all genetic information from microbial assemblages and is today performed at a relatively large scale and reasonable cost, mostly based on very short reads. Here, we investigated the potential of metagenomics to provide taxonomic reports of marine microbial eukaryotes. We prepared a curated database with reference sequences of the V4 region of 18S rDNA clustered at 97% similarity and used this database to extract and classify metagenomic reads. More than half of them were unambiguously affiliated to a unique reference whilst the rest could be assigned to a given taxonomic group. The overall diversity reported by metagenomics was similar to that obtained by amplicon sequencing of the V4 and V9 regions of the 18S rRNA gene, although either one or both of these amplicon surveys performed poorly for groups like Excavata, Amoebozoa, Fungi and Haptophyta. We then studied the diversity of picoeukaryotes and nanoeukaryotes using 91 metagenomes from surface down to bathypelagic layers in different oceans, unveiling a clear taxonomic separation between size fractions and depth layers. Finally, we retrieved long rDNA sequences from assembled metagenomes that improved phylogenetic reconstructions of particular groups. Overall, this study shows metagenomics as an excellent resource for taxonomic exploration of marine microbial eukaryotes.     

Metagenomics and the niche concept

The metagenomics approach has revolutionised the fields of bacterial diversity, ecology and evolution, as well as derived applications like bioremediation and obtaining bioproducts. A further associated conceptual change has also occurred since in the metagenomics methodology the species is no longer the unit of study, but rather partial genome arrangements or even isolated genes. In spite of this, concepts coming from ecological and evolutionary fields traditionally centred on the species, like the concept of niche, are still being applied without further revision. A reformulation of the niche concept is necessary to deal with the new operative and epistemological challenges posed by the metagenomics approach. To contribute to this end, I review past and present uses of the niche concept in ecology and in microbiological studies, showing that a new, updated definition need to be used in the context of the metagenomics. Finally, I give some insights into a more adequate conceptual background for the utilisation of the niche concept in metagenomic studies. In particular, I raise the necessity of including the microbial genetic background as another variable into the niche space. Diana Marco is a member of the Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET).     

Identification of the bacterial community involved in methane-dependent denitrification in activated sludge using DNA stable-isotope probing

Methane is used as an alternative carbon source in the denitrification of wastewater lacking organic carbon sources because it is nontoxic and may be efficiently produced by anaerobic biological processes. Methane-dependent denitrification (MDD) in the presence of oxygen requires the co-occurrence of methanotrophy and denitrification. Activated sludge was incubated with 13C-labeled methane in either a nitrate-containing medium or a nitrate-free medium. Then, bacterial and methanotrophic populations were analyzed by cloning analysis and terminal restriction fragment length polymorphism analysis targeting 16S rRNA gene and cloning analysis targeting pmoA genes. DNA-based stable-isotope probing (DNA-SIP) analysis of the 16S rRNA gene revealed an association of the Methylococcaceae and the Hyphomicrobiaceae in a MDD ecosystem. Furthermore, supplementation of nitrate stimulated methane consumption and the activity of methanotrophic populations (i.e. the stimulation of uncultivated relatives of distinct groups of the Methylococcaceae). In particular, uncultured type-X methanotrophs of Gammaproteobacteria were dominant when nitrate was added, i.e. in the MDD incubations. On the other hand, most methanotrophs (types I, II, and X methanotrophs) were found to have been labeled with 13C under nitrate-free conditions. This DNA-SIP study identifies key bacterial populations involved in a MDD ecosystem.