宏基因组学:土壤微生物研究的新策略

土壤中多数微生物不可培养,这限制了微生物资源的开发利用。宏基因组学方法在开发和利用不可培养微生物资源方面有巨大潜力,可以将其运用到土壤微生物学研究中。对土壤宏基因组DNA的提取、宏基因组文库的构建和筛选等方面的研究现状和进展进行了简要综述。     

宏基因组学研究进展

不可培养微生物占据微生物总数的99%以上, 这己成为微生物资源开发利用的一个限制性因素。宏基因组学是通过提取某一环境中的所有微生物基因组DNA、构建基因组文库及对文库进行筛选寻找和发现新的功能基因及活性代谢产物的一种方法。它避开了微生物分离培养的过程, 极大地扩展了微生物资源的利用空间, 是现代基因工程一个新的发展方向和研究热点。本文主要对宏基因组的DNA提取方法、文库的构建、筛选策略的选择及近年来宏基因组学在各领域中的应用研究现状进行了综述。     

宏基因组学在发现新基因方面的应用

现代分子微生物生态学研究表明,自然环境中约99%的微生物不能用传统的分离培养方法获得其纯培养,使得环境微生物中的多样性基因资源难以得到充分的开发和应用.宏基因组学是近年来发展起来的,通过直接提取特定环境中全部微生物的总基因组DNA并克隆到合适的可培养微生物宿主中,来筛选目的基因的方法.它已在微生物新功能基因筛选、活性物质开发和微生物多样性研究等方面取得了显著成果.该文旨在介绍宏基因组学在新功能基因发现方面的应用概况并结合我们的研究情况,对这一崭新领域中的最近研究进展进行简要综述.     

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.     

宏基因组学挖掘新型生物催化剂的研究进展

微生物蕴藏着大量具有工业应用潜力的生物催化剂。然而,传统培养方法只能从环境中获得不到1%的微生物。宏基因组学是通过提取某一特定环境中的所有微生物基因组DNA、构建基因组文库并对文库进行筛选,寻找和发现新的功能基因的一种方法。它绕过了微生物分离培养过程,成为研究环境样品中不可培养微生物的有力手段。因此,从宏基因组中挖掘新型生物催化剂一直倍受生物学家的关注。以下主要对宏基因组文库的样品来源、DNA提取方法、文库的构建和筛选策略的选择这4个方面的研究状况进行了综述,列举了近年来利用宏基因组技术所获得的新型生物催化剂,并对其今后的研究方向提出了展望。     

土壤宏蛋白质组学在土壤污染评价中的应用

土壤微生物指标是评价土壤污染程度的重要生物学指标之一.近年来,随着分子生物学的发展,应用宏基因组学、宏转录组学和宏蛋白质组学技术考察土壤微生物的生态功能成为土壤功能的研究热点.相对于宏基因组学和宏转录组学,土壤宏蛋白质组学是以土壤微生物基因的功能组分——蛋白质为直接研究对象,考察不同时空点提取出来的土壤蛋白质的变化规律,更有助于揭示土壤微生物的生态功能及其在污染物迁移转化过程中的作用,在评价土壤污染方面也更具潜力.目前,土壤宏蛋白质组学正处于起步阶段,而土壤蛋白质的提取方法是制约其发展的主要因素之一,因此本文综述了蛋白质作为土壤污染评价指标的优势,重点比较了不同土壤蛋白质提取方法的优劣,结合案例分析了蛋白质作为土壤污染评价指标的可行性及存在的问题,并对土壤宏蛋白质组学的发展进行展望.     

海洋宏基因组学研究进展

宏基因组学作为研究微生物种群生态分布、群体遗传特征和基因相互作用的新兴学科,在未培养微生物资源的开发利用上取得了突破性进展,已成为海洋等极端环境中分离与鉴定新型工业酶制剂的有效工具。综述海洋宏基因组学研究进展,以及宏基因组学领域中如新一代测序技术等,以期为从海洋环境中开发具有工业潜力和应用价值的新型生物催化剂提供参考。     

宏基因组学的研究方法进展及应用概述

宏基因组学是以某一特定环境样品中的微生物群体基因组为研究对象,通过提取DNA、构建文库、文库筛选等基本流程来研究微生物多样性、进化关系以及寻找新基因等为研究目的的新的微生物学研究方法,其总体流程包括环境样品总DNA提取、宏基因组文库构建、宏基因组文库筛选三个阶段。宏基因组学做为一个崭新的技术在微生物生态学、生物酶制剂开发以及医学等方面都取得了可喜的成绩。本文将就宏基因组学的概念、技术流程和应用三个方面作简单介绍。     

临床宏基因组学应用现状及存在问题分析

众所周知,宏基因组学是一种通过提取样品中微生物的总DNA,构建宏基因组文库,研究环境中全部微生物的遗传组成及其菌落功能的方法。而宏基因组新一代测序(metagenome next-generation sequencing, mNGS)是在宏基因组学基础上进一步发展起来的新一代测序技术,无需对患者标本进行培养,直接分析标本中的微生物DNA或RNA。本文介绍了宏基因组学在临床上的应用,包括传染病的诊断、疾病和健康状态下的微生物组分析、人类宿主反应分析和肿瘤相关病毒及其基因组鉴定,并简要探讨了临床宏基因组学研究中所遇到的挑战及解决方法。     

宏基因组学:基本策略及在医学研究领域中的可能应用

宏基因组学（metagenomics）的提出是分子生物学领域的一个重要进展。在自然生境中有大量不可培养微生物的存在,无法通过培养法进行研究,而宏基因组学的策略则突破了这一束缚。宏基因组学是从生境中取得全部微生物的基因组,并进行系统研究的方法。该文介绍宏基因组学的基本情况,并着重探讨其在医学研究领域中的可能应用。     

Life-history strategies of soil microbial communities in an arid ecosystem

The overwhelming taxonomic diversity and metabolic complexity of microorganisms can be simplified by a life-history classification; copiotrophs grow faster and rely on resource availability, whereas oligotrophs efficiently exploit resource at the expense of growth rate. Here, we hypothesize that community-level traits inferred from metagenomic data can distinguish copiotrophic and oligotrophic microbial communities. Moreover, we hypothesize that oligotrophic microbial communities harbor more unannotated genes. To test these hypotheses, we conducted metagenomic analyses of soil samples collected from copiotrophic vegetated areas and from oligotrophic bare ground devoid of vegetation in an arid-hyperarid region of the Sonoran Desert, Arizona, USA. Results supported our hypotheses, as we found that multiple ecologically informed life-history traits including average 16S ribosomal RNA gene copy number, codon usage bias in ribosomal genes and predicted maximum growth rate were higher for microbial communities in vegetated than bare soils, and that oligotrophic microbial communities in bare soils harbored a higher proportion of genes that are unavailable in public reference databases. Collectively, our work demonstrates that life-history traits can distill complex microbial communities into ecologically coherent units and highlights that oligotrophic microbial communities serve as a rich source of novel functions.Subject terms: Microbial ecology, Community ecology     

Signal Processing for Metagenomics: Extracting Information from the Soup

Traditionally, studies in microbial genomics have focused on single-genomes from cultured species, thereby limiting their focus to the small percentage of species that can be cultured outside their natural environment. Fortunately, recent advances in high-throughput sequencing and computational analyses have ushered in the new field of metagenomics, which aims to decode the genomes of microbes from natural communities without the need for cultivation. Although metagenomic studies have shed a great deal of insight into bacterial diversity and coding capacity, several computational challenges remain due to the massive size and complexity of metagenomic sequence data. Current tools and techniques are reviewed in this paper which address challenges in 1) genomic fragment annotation, 2) phylogenetic reconstruction, 3) functional classification of samples, and 4) interpreting complementary metaproteomics and metametabolomics data. Also surveyed are important applications of metagenomic studies, including microbial forensics and the roles of microbial communities in shaping human health and soil ecology.     

阴道微生态宏基因组学研究进展

女性阴道内寄居着多种微生物群落,这些微生物种群间的平衡状态与妇女阴道疾病的发生密切相关。鉴定女性阴道菌群结构多样性的特征,有助于了解其在阴道疾病发生和转归中所发挥的作用。目前基于16SrRNA的聚合酶链式反应(PCR)及宏基因组相关技术在微生物群落研究中被广泛运用,这不仅可以帮助人们最大程度地获得阴道菌群的宏基因组信息,还可有效弥补单纯微生物培养法所产生的实验数据不充足等弊端。本文对阴道微生物菌群多样性的研究中应用的宏基因组学技术如基因测序、变性/温度梯度凝胶电泳(DGGE/TGGE)、分子克隆、末端限制性酶切长度多态性(T-RFLP)等进行综述。     

Metagenomics-based drug discovery and marine microbial diversity

As the global threat of drug-resistant pathogens continues to rise, new strategies and resources are required to accelerate and advance the drug discovery process. We believe that rapid progress in metagenomics has opened up a new era in the study of marine microbial diversity that enables direct access to the genomes of numerous uncultivable microorganisms. This review outlines recent developments and future trends in metagenomics-based drug discovery in marine microbial communities and their associated chemical prosperity.     

Microbial diversity associated with ascidians: a review of research methods and application

This paper reviews research in microbial diversity associated with ascidians (commonly known as sea squirts). The application of culture-dependent and culture-independent techniques is introduced in detail and these methods are analyzed for their advantages and limitations. Because of the limitations of available media and cultivation conditions, culture-dependent methods can only reveal a limited portion of the microorganisms in ascidians. However, the acquisition of typical microbial community members in culture remains a valuable resource for exploring their bioactive potential and relationships with the ascidian hosts. The application of metagenomic library methods has greatly accelerated ascidian metabolites studies. The next-generation sequencing techniques have led to the acquisition of an unprecedented quantity of ascidian microorganism data, providing the most comprehensive information about ascidian microbial diversity. Ascidians provide unique ecological niches that harbor an unexpected diversity of microorganisms different from planktonic bacteria in the local seawater. Microbial communities associated with ascidians tend to be species-specific and tissue-specific. Different tissue of the same ascidian may be associated with different microbial communities.     

Metagenomic and small-subunit rRNA analyses reveal the genetic diversity of bacteria, archaea, fungi, and viruses in soil

Recent studies have highlighted the surprising richness of soil bacterial communities; however, bacteria are not the only microorganisms found in soil. To our knowledge, no study has compared the diversities of the four major microbial taxa, i.e., bacteria, archaea, fungi, and viruses, from an individual soil sample. We used metagenomic and small-subunit RNA-based sequence analysis techniques to compare the estimated richness and evenness of these groups in prairie, desert, and rainforest soils. By grouping sequences at the 97% sequence similarity level (an operational taxonomic unit [OTU]), we found that the archaeal and fungal communities were consistently less even than the bacterial communities. Although total richness levels are difficult to estimate with a high degree of certainty, the estimated number of unique archaeal or fungal OTUs appears to rival or exceed the number of unique bacterial OTUs in each of the collected soils. In this first study to comprehensively survey viral communities using a metagenomic approach, we found that soil viruses are taxonomically diverse and distinct from the communities of viruses found in other environments that have been surveyed using a similar approach. Within each of the four microbial groups, we observed minimal taxonomic overlap between sites, suggesting that soil archaea, bacteria, fungi, and viruses are globally as well as locally diverse.     

Metagenomic and Small-Subunit rRNA Analyses Reveal the Genetic Diversity of Bacteria, Archaea, Fungi, and Viruses in Soil

Recent studies have highlighted the surprising richness of soil bacterial communities; however, bacteria are not the only microorganisms found in soil. To our knowledge, no study has compared the diversities of the four major microbial taxa, i.e., bacteria, archaea, fungi, and viruses, from an individual soil sample. We used metagenomic and small-subunit RNA-based sequence analysis techniques to compare the estimated richness and evenness of these groups in prairie, desert, and rainforest soils. By grouping sequences at the 97% sequence similarity level (an operational taxonomic unit [OTU]), we found that the archaeal and fungal communities were consistently less even than the bacterial communities. Although total richness levels are difficult to estimate with a high degree of certainty, the estimated number of unique archaeal or fungal OTUs appears to rival or exceed the number of unique bacterial OTUs in each of the collected soils. In this first study to comprehensively survey viral communities using a metagenomic approach, we found that soil viruses are taxonomically diverse and distinct from the communities of viruses found in other environments that have been surveyed using a similar approach. Within each of the four microbial groups, we observed minimal taxonomic overlap between sites, suggesting that soil archaea, bacteria, fungi, and viruses are globally as well as locally diverse.