肠道微生物功能宏基因组学与代谢组学关联分析方法研究进展

近年来基于高通量基因测序的微生物组学研究极大加深了人们对微生物与健康和疾病关系的认识。然而基因测序方法不能直接测定微生物的功能活性,难以鉴定微生物中的关键功能分子,单独使用无法回答肠道微生物何种成员通过何种方式影响宿主等关键科学问题。单一组学研究弊端尽显,多组学联用势在必行。肠道微生物代谢组学以微生物群落所有小分子代谢物为研究对象,可发现肠道微生物随宿主病理生理变化的关键代谢物,为微生物组-宿主互作机制研究提供线索,成为微生物组学研究的重要补充。肠道微生物功能基因组学与代谢组学关联分析在宿主生理、疾病病理、药物药理等方面取得众多进展,展现良好应用前景。然而目前肠道微生物功能基因组学与代谢组学关联分析存在方法滥用、相关性结论与生物学知识相悖等突出问题。为帮助正确应用肠道微生物功能宏基因组学与代谢组学关联分析,本文综述了各种多组学数据整合分析方法的原理、优缺点与适用范围,并给出了应用建议。     

Classification and quantification of bacteriophage taxa in human gut metagenomes

Bacteriophages have key roles in microbial communities, to a large extent shaping the taxonomic and functional composition of the microbiome, but data on the connections between phage diversity and the composition of communities are scarce. Using taxon-specific marker genes, we identified and monitored 20 viral taxa in 252 human gut metagenomic samples, mostly at the level of genera. On average, five phage taxa were identified in each sample, with up to three of these being highly abundant. The abundances of most phage taxa vary by up to four orders of magnitude between the samples, and several taxa that are highly abundant in some samples are absent in others. Significant correlations exist between the abundances of some phage taxa and human host metadata: for example, ‘Group 936 lactococcal phages'' are more prevalent and abundant in Danish samples than in samples from Spain or the United States of America. Quantification of phages that exist as integrated prophages revealed that the abundance profiles of prophages are highly individual-specific and remain unique to an individual over a 1-year time period, and prediction of prophage lysis across the samples identified hundreds of prophages that are apparently active in the gut and vary across the samples, in terms of presence and lytic state. Finally, a prophage–host network of the human gut was established and includes numerous novel host–phage associations.     

元基因组学及其在转化医学中的应用

微生物群落遍布于人体的每个角落,与人共生并对人体健康产生重要和深刻的影响。与人类共生的全部微生物的基因组总和称为“元基因组”或“人类第二基因组”。研究人体微生物群落及相关元基因组数据,对转化医学领域的基础研究和临床应用具有重要的价值。通过对生物医学相关的高通量元基因组数据进行分析,不仅能为基础医学研究向医学临床应用转化提供新思路和新方法,而且具有广阔的应用前景。基于新一代测序技术产生的数据,元基因组分析技术和方法能够弥补以往人体微生物先培养后鉴定方法的缺陷,同时能有效鉴定和分析微生物群落的组成及功能,从而进一步探究和揭示微生物群落与机体生理状态之间的关系,为解决许多医学领域的难题提供了全新的切入角度和思维方法。文章系统介绍了元基因组研究的现状,包括元基因组的方法概念和研究进展,并以元基因组在医学研究中的应用为着眼点,综述了元基因组在转化医学方面的研究进展,进一步阐述了元基因组研究在转化医学应用领域中具有的重要地位。     

The human gut resistome

In recent decades, the emergence and spread of antibiotic resistance among bacterial pathogens has become a major threat to public health. Bacteria can acquire antibiotic resistance genes by the mobilization and transfer of resistance genes from a donor strain. The human gut contains a densely populated microbial ecosystem, termed the gut microbiota, which offers ample opportunities for the horizontal transfer of genetic material, including antibiotic resistance genes. Recent technological advances allow microbiota-wide studies into the diversity and dynamics of the antibiotic resistance genes that are harboured by the gut microbiota (‘the gut resistome’). Genes conferring resistance to antibiotics are ubiquitously present among the gut microbiota of humans and most resistance genes are harboured by strictly anaerobic gut commensals. The horizontal transfer of genetic material, including antibiotic resistance genes, through conjugation and transduction is a frequent event in the gut microbiota, but mostly involves non-pathogenic gut commensals as these dominate the microbiota of healthy individuals. Resistance gene transfer from commensals to gut-dwelling opportunistic pathogens appears to be a relatively rare event but may contribute to the emergence of multi-drug resistant strains, as is illustrated by the vancomycin resistance determinants that are shared by anaerobic gut commensals and the nosocomial pathogen Enterococcus faecium.     

Comparative metagenomics analysis reveals how the diet shapes the gut microbiota in several small mammals

The gut microbiomes of the host are large and complex communities, which helps to maintain homeostasis, improves digestive efficiency, and promotes the development of the immune system. The small mammals distributed in Sichuan Province are the most popular species for biodiversity research in Southwest China. However, the effects of different diets on the structure and function of the gut microbial community of these small mammals are poorly understood. In this study, whole‐metagenome shotgun sequencing has been used to analyze the composition and functional structures of the gut microbiota of seven small mammals in Laojunshan National Nature Reserve, Sichuan Province, China. Taxonomic classification revealed that the most abundant phyla in the gut of seven small mammals were Bacteroides, Proteobacteria, and Firmicutes. Moreover, Hafnia, Lactobacillus, and Yersinia were the most abundant genus in the gut microbiomes of these seven species. At the functional level, we annotated a series of KEGG functional pathways, six Cazy categories, and 46,163 AROs in the gut microbiomes of the seven species. Comparative analysis found that the difference in the gut microbiomes between the Soricidea and Muridae concentrated on the increase in the F/B (Firmicutes/Bacteroides) ratio in the Soricidea group, probably driven by the high‐fat and ‐calorie digestive requirements due to their insectivorous diet. The comparative functional profiling revealed that functions related to metabolism and carbohydrates were significantly more abundant in Muridae group, which may be attributed to their high carbohydrate digestion requirements caused by their herbivorous diet. These data suggested that different diets in the host may play an important role in shaping the gut microbiota, and lay the foundation for teasing apart the influences of heritable and environmental factors on the evolution of gut microbial communities.     

Massive expansion of human gut bacteriophage diversity

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Proteomics,human gut microbiota and probiotics

The various bacterial communities associated with humans have many functions and the gut microbiota has a major role in the host. Bacterial imbalance in the gut, known as dysbiosis, has therefore been linked to several diseases. Probiotics, that is, microbial strains that have beneficial effects on the host, are thought to benefit this intestinal ecosystem. Hence, knowledge of the gut microbiota composition and an understanding of its functionalities are of interest. Recently, efforts have focused on developing new high-throughput techniques for studying microbial cells and complex communities. Among them, proteomics is increasingly being used. The purpose of this article is to focus on the recent development of this technology and its usefulness in analyzing the human gut ecosystem and probiotic strains.     

Evolutionary signal in the gut microbiomes of 74 bird species from Equatorial Guinea

How the microbiome interacts with hosts across evolutionary time is poorly understood. Data sets including many host species are required to conduct comparative analyses. Here, we analyzed 142 intestinal microbiome samples from 92 birds belonging to 74 species from Equatorial Guinea, using the 16S rRNA gene. Using four definitions for microbial taxonomic units (97%OTU, 99%OTU, 99%OTU with singletons removed, ASV), we conducted alpha and beta diversity analyses. We found that raw abundances and diversity varied between the data sets but relative patterns were largely consistent across data sets. Host taxonomy, diet and locality were significantly associated with microbiomes, at generally similar levels using three distance metrics. Phylogenetic comparative methods assessed the evolutionary relationship between the microbiome as a trait of a host species and the underlying bird phylogeny. Using multiple ways of defining “microbiome traits”, we found that a neutral Brownian motion model did not explain variation in microbiomes. Instead, we found a White Noise model (indicating little phylogenetic signal), was most likely. There was some support for the Ornstein‐Uhlenbeck model (that invokes selection), but the level of support was similar to that of a White Noise simulation, further supporting the White Noise model as the best explanation for the evolution of the microbiome as a trait of avian hosts. Our study demonstrated that both environment and evolution play a role in the gut microbiome and the relationship does not follow a neutral model; these biological results are qualitatively robust to analytical choices.     

Improving microbial fitness in the mammalian gut by in vivo temporal functional metagenomics

Elucidating functions of commensal microbial genes in the mammalian gut is challenging because many commensals are recalcitrant to laboratory cultivation and genetic manipulation. We present Temporal FUnctional Metagenomics sequencing (TFUMseq), a platform to functionally mine bacterial genomes for genes that contribute to fitness of commensal bacteria in vivo. Our approach uses metagenomic DNA to construct large‐scale heterologous expression libraries that are tracked over time in vivo by deep sequencing and computational methods. To demonstrate our approach, we built a TFUMseq plasmid library using the gut commensal Bacteroides thetaiotaomicron (Bt) and introduced Escherichia coli carrying this library into germfree mice. Population dynamics of library clones revealed Bt genes conferring significant fitness advantages in E. coli over time, including carbohydrate utilization genes, with a Bt galactokinase central to early colonization, and subsequent dominance by a Bt glycoside hydrolase enabling sucrose metabolism coupled with co‐evolution of the plasmid library and E. coli genome driving increased galactose utilization. Our findings highlight the utility of functional metagenomics for engineering commensal bacteria with improved properties, including expanded colonization capabilities in vivo.     

银杏双黄酮和银杏内酯B与人体肠道菌群体外互作研究

[目的]银杏提取物在防治心血管系统和神经系统疾病方面发挥重要功能.鉴于肠道菌群已被认定为一个新兴的药物作用靶标,研究银杏双黄酮和银杏内酯与人体肠道菌群之间的相互作用具有非常重要的意义,这将为进一步理解银杏提取物的功能和作用机制奠定基础.[方法]本研究使用人体肠道菌群体外批量发酵、细菌总量测定、细菌16S rDNA高通量...     

Dosing a synbiotic of human milk oligosaccharides and B. infantis leads to reversible engraftment in healthy adult microbiomes without antibiotics

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基于16S rRNA基因扩增子测序分析日本囊对虾肠道菌群结构与功能的特征

【背景】肠道菌群在对虾的生理活动中起关键作用。日本囊对虾是我国海水养殖虾类中的主要品种之一,迄今为止有关其肠道菌群结构与功能的研究还鲜有报道。【目的】利用高通量测序技术探究日本囊对虾肠道菌群的组成结构与功能作用,揭示虾体肠道菌群与外源菌群结构间的相关性。【方法】60 d的养殖周期结束后,分别采集日本囊对虾肠道样品(归为虾肠组,n=3)、养殖水体样品(归为水体组,n=3)和对虾饲料样品(归为饲料组,n=3),提取各样品总DNA进行16SrRNA基因扩增子测序,基于生物信息学方法分析与比较样品间的菌群结构特征,并使用PICRUSt软件预测日本囊对虾肠道菌群功能。【结果】3组样品测序共获得822 713条有效序列,抽平处理后可聚类为3 416个OTU。虾肠组样品中有28.49%、59.30%的OTU可以依次在水体组、饲料组样品中检测到。门水平上,虾肠组样品中的优势菌门为变形菌门(Proteobacteria)、拟杆菌门(Bacteroidetes)、厚壁菌门(Firmicutes)和梭杆菌门(Fusobacteria)。水体组、饲料组与虾肠组样品中的优势菌门结构不尽相同,但均由变形菌门和拟杆菌门组成。属水平上,虾肠组样品中的优势菌属包括弧菌属(Vibrio)、另类弧菌属(Aliivibrio)、假交替单胞菌属(Pseudoalteromonas)、假黄棕杆菌属(Pseudofulvibacter)、科尔韦尔氏菌属(Colwellia)、小纺锤状菌属(Fusibacter)、发光杆菌属(Photobacterium)、脱硫弧菌属(Desulfovibrio)、嗜冷杆菌属(Psychrobacter)以及弓形杆菌属(Arcobacter)。水体组和饲料组中检出的核心菌属结构与虾肠组相比有明显差异,其中海命菌属(Marivita)和假单胞菌属(Pseudomonas)分别为养殖水体及对虾饲料样品中的最优势菌属。PICRUSt预测结果显示,日本囊对虾肠道菌群的基因功能主要与新陈代谢类功能有关,包含氨基酸代谢、碳水化合物代谢与能量代谢等。【结论】日本囊对虾肠道菌群与其他种类对虾肠道菌群的结构间存在共性,其形成在一定程度上受到了外源菌群的干预,并在虾体的日常代谢活动中发挥了一定的作用。     

(S)-雌马酚对肠道菌群的体外调控作用及其可代谢性研究

[目的]研究(S)-雌马酚对人体肠道菌群的体外调控作用和人体肠道菌群对(S)-雌马酚的代谢衍生作用。[方法]采用人体肠道菌群体外批量发酵、细菌16S rRNA基因高通量测序、气相色谱、液相色谱和质谱等检测(S)-雌马酚与人体肠道菌群体外相互作用。[结果]体外添加(S)-雌马酚对总体人肠道菌群结构和短链脂肪酸产量影响不明显。添加0.45 mmol/L (S)-雌马酚组与对照组相比,未检测到相对丰度发生显著变化的细菌;添加0.90 mmol/L (S)-雌马酚组与对照组相比,显著增加了肠杆菌科(Enterobacteriaceae)等条件致病菌的相对丰度,减少了潜在益生菌粪球菌属(Coprococcus)的比例。代谢分析发现,发酵培养液中(S)-雌马酚的浓度降低了约15%−30%,推测可能被微生物进一步降解或衍生修饰。[结论]从体外调控肠道菌群的角度判断,0.45 mmol/L (S)-雌马酚相对较安全,而0.90 mmol/L (S)-雌马酚可能会破坏肠道菌群平衡。(S)-雌马酚可以被人体肠道菌群进一步代谢,其特定代谢产物的结构与功能及其体内生物安全性有待进一步研究。     

人体肠道病毒组学研究进展

人体微生物组计划开展近10年来,大量的研究显示人体微生物通过各种方式深刻地影响着人体健康。人体肠道内丰富多样的病毒构成了肠道病毒组,是人体微生物组的重要组成部分,和人体健康密切相关。本文综述了近些年国际上人体肠道病毒组研究的最新进展,分别从人体肠道病毒组的组成特征、肠道病毒组-细菌组-人体间的相互作用及其对人体健康的影响、病毒组研究的技术策略及挑战等方面进行了论述,探讨了肠道病毒组在人体疾病预防和治疗领域应用的可行性。     

Interactive relationship between Trp metabolites and gut microbiota: The impact on human pathology of disease

Tryptophan (Trp), an α-amino acid, is the precursor of serotonin (5-hydroxytryptamine, 5-HT), which is involved in a variety of features of metabolic function and human nutrition. Evidence highlights the role of Trp metabolites (exclusively 5-HT) in the gastrointestinal (GI) tract; however, the mechanisms of action involved in the release of 5-HT in the GI tract are still unknown. Considering the fact that variations of 5-HT may facilitate the growth of certain GI disorders, gaining a better understanding of the function and release of 5-HT in the GI tract would be beneficial. Additionally, investigating Trp metabolism may clarify the relationship between Trp and gut microbiota. It is believed that other metabolites of Trp (mostly that of the kynurenine pathway) may play a significant role in controlling gut microbiota function. In this review, we have attempted to summarize the current research investigating the relationship of gut microbiota, Trp and 5-HT metabolism (with particular attention paid to their metabolite type, as well as a discussion of the research methods used in each study). Taking together, regarding the role that Trp/5-HT plays in a range of physical and mental diseases, the gut bacterial types, as well as the related disorders, have been exclusively considered.     

Phylogenetic analysis of the human gut microbiota using 16S rDNA clone libraries and strictly anaerobic culture-based methods

The human gut microbiota from three healthy subjects were compared by the use of a sequence analysis of 16S rDNA libraries and a culture-based method. Direct counts ranged from 1.9 X 10" to 4.0 X 10" cells/g (wet weight), and plate counts totaled 6.6 X 10(10) to 1.2 X 10(11) CFU/g (wet weight). Sixty to seventy percent of the bacteria in the human intestinal tract cannot be cultured with currently available methods. The 16S rDNA libraries from three subjects were generated from total community DNA in the intestinal tract with universal primer sets. Randomly selected clones were partially sequenced. All purified colonies detected from the surface of the agar plate were used for a partial sequencing of 16S rDNA. On the basis of sequence similarities, the clones and colonies were classified into several clusters corresponding to the major phylum of the domain Bacteria. Among a total of 744 clones obtained, approximately 25% of them belonged to 31 known species. About 75% of the remaining clones were novel "phylotypes" (at least 98% similarity of clone sequence). The predominant intestinal microbial community consisted of 130 species or phylotypes according to the sequence data in this study. The 16S rDNA libraries and colonies included the Bacteroides group, Streptococcus group, Bifidobacterium group, and Clostridium rRNA clusters IV, IX, XIVa, and XVIII. Moreover, several previously uncharacterized and uncultured microorganisms were recognized in clone libraries and colonies. Our results also showed marked individual differences in the composition of intestinal microbiota.     

人体肠道4 644株代表菌次级代谢产物生物合成基因簇挖掘与耐药及毒力基因分析

为了更好地从肠道微生物组中挖掘新的次级代谢产物、了解肠道微生物组编码的抗生素耐药基因和毒力因子情况,本研究基于4 644株人体肠道微生物代表菌的基因组序列,对其编码的次级代谢产物基因簇、抗生素耐药基因和毒力因子进行了预测分析。经antiSMASH预测分析发现,超过60%的代表菌编码至少1个次级代谢产物基因簇,并从8个未可培养菌中发现了8个潜在的新颖次级代谢产物基因簇。人体肠道中的次级代谢产物主要由梭菌纲（Clostridia）、芽孢杆菌纲（Bacilli）、γ-变形菌纲（Gammaproteobacteria）、拟杆菌纲（Bacteroidia）、放线菌纲（Actinobacteria）和厚壁菌纲（Negativicutes）6类细菌编码的非核糖体多肽合成酶（nonribosomal peptide synthetase,NRPS）、细菌素、芳基多烯类化合物、萜烯、β-丙内酯、NRPS-样蛋白组成。经PathoFact预测分析发现,抗生素耐药基因和毒力因子在代表性菌株中分布广泛,但潜在病原菌编码频率更高。潜在病原菌中编码外膜蛋白、PapC N-端结构域、PapC C-端结构域、肽酶M16失活结构域等分泌型毒素和硝基还原酶家族、AcrB/AcrD/AcrF家族、PLD-样结构域、Cupin结构域、假定溶血素、S24-样肽酶、磷酸转移酶家族、内切核酸酶/外切核酸酶/磷酸酶家族、乙二醛酶/博莱霉素抗性等非分泌型毒素的频率较高。该研究将为进一步从肠道微生物组中挖掘新的微生物天然产物、了解肠道微生物的定殖与感染机制,为肠道微生物相关疾病提供靶向防治策略等奠定基础。