南极海洋生物肠道微生物研究进展

生物的胃肠道微生物数量众多,各种菌群之间互相制约,与宿主共同进化。南大洋作为一个巨大的生物资源库,繁衍生存着大量的生物,其生活环境的多样性及特殊性,使得其胃肠道微生物较为特殊,肠道微生物群落也进化到适应宿主的各种营养生活方式。从不同营养级具有代表性的南极海洋生物出发,以南极磷虾,鱼类,企鹅,海豹为主线,综述这些生物胃肠道微生物的研究概况以及相关研究方法的优势与局限性,以期揭示肠道微生物与宿主的关系,为更加有效开发利用微生物资源提供借鉴。     

肠道微生物与认知功能

近年来大量研究表明肠道微生物的改变与认知行为之间存在明显的相关性。通过无菌动物、细菌感染以及益生菌或抗生素干预等方式改变宿主的肠道菌群,可以调节宿主的认知行为,包括学习和记忆能力。应激和饮食结构的变化也会改变宿主的肠道微生物,进而影响宿主行为。同时在胃肠道疾病和某些非肠道疾病状态下也会伴随着宿主认知行为的改变。本研究将重点讨论在人类和动物研究中发现的肠道微生物多样性的改变如何影响大脑功能和认知行为。     

基于高通量测序技术马肠道菌群研究进展

马肠道非常发达,其中定居着丰富又复杂的微生物菌群,这些微生物在宿主的生理、代谢、营养和免疫功能等方面有着重要作用.基于高通量测序的宏基因组学技术和分析手段的改进,对复杂环境中微生物的研究更加方便、透彻.本文就基于高通量测序的宏基因组技术在马肠道核心菌群、不同肠道段菌群结构、不同因素对肠道菌群结构的影响,以及马肠道微生物...     

肠道微生物及其代谢产物与宿主脂质代谢研究进展

近年来,肠道微生物与宿主脂质代谢研究受到国内外的广泛关注.首先,肠道微生物多样性和组成在脂肪代谢紊乱动物模型、肥胖患者中均发生显著改变,而利用粪菌移植、益生菌以及营养干预重塑肠道菌群结构可以调控宿主脂质代谢.本文重点介绍了肠道微生物与宿主脂代谢的联系,并从短链脂肪酸、胆汁酸、氨基酸、内毒素和微生物节律等方面探讨了肠道微生物调控宿主脂代谢的潜在机制,以期为脂质代谢引起的疾病提供干预靶点.     

microRNA 对宿主和肠道微生物互作的调控

摘要:肠道内环境是宿主和肠道微生物菌群互作的结果,肠道菌群一方面通过抗原物质调节肠道组织的免疫稳定,另一方面,肠道菌群参与糖、脂、蛋白质代谢,产生的代谢产物能够调控细菌营养代谢、群体结构和肠道组织的营养吸收等。microRNA是宿主细胞内调控基因表达的重要因子,肠道微生物菌群不仅调控宿主mRNA的转录,同时也影响某些基因的转录后修饰。研究表明,肠道菌群通过与宿主肠道组织互作,调节肠上皮组织内某些参与炎症应答和屏障功能的microRNA 的表达。本文介绍了肠道微生物与宿主互作的基本内容,对microRNA在肠道微生物与宿主互作和肠道健康中的调节进行综述。     

哺乳动物肠道微生物与碳水化合物的互作及其影响

肠道微生物具有调节宿主营养、免疫以及能量代谢等生理功能。饮食是影响哺乳动物的肠道微生物的一个重要因素。碳水化合物是哺乳动物食物能量的主要来源,因此研究肠道微生物与碳水化合物的代谢之间的关系及其影响具有重要意义。基于近年相关研究,本文从碳水化合物对肠道微生物组成的影响、肠道微生物对碳水化合物的代谢机制以及碳水化合物发酵产物短链脂肪酸对宿主的影响3个方面进行了综述。研究表明,肠道微生物可用于发酵的碳水化合物类型主要是抗性淀粉和非淀粉多糖;不同类型的碳水化合物会导致肠道菌群发生适应性变化;复杂多糖发酵产生的短链脂肪酸在调节宿主能量平衡和免疫应答方面发挥了重要作用。总结近年来相关研究,可加深对肠道菌群对宿主碳水化合物代谢贡献的理解,为哺乳动物机体健康状况的营养调控策略提供参考。     

肠道和呼吸道菌群与肺部疾病的研究新进展

宿主微生物群落对机体局部以及系统免疫的影响已逐渐引起人们的关注,目前发现局部的微生物群落能够对机体远端部位的免疫能力造成影响。肠道和呼吸道菌群稳态对机体免疫系统发育以及抗病原微生物感染至关重要,肠道和呼吸道菌群失衡与炎症性疾病、代谢性疾病以及过敏性疾病密切相关。肠道和呼吸道菌群失衡会通过"肠—肺轴"的相互作用,引起免疫系统改变与急性、慢性肺部疾病的发生。在这篇综述中,我们对肠道微生物和呼吸道微生物在肠-肺轴中发挥作用的研究进展作一总结,并对从微生物角度进行疾病治疗干预的可能性进行分析。     

肠道菌群与代谢研究进展

从出生伊始肠道菌群就依赖于宿主的基因组、营养和生活方式而变化的,与宿主共同进化发展.肠道菌群参与调控其宿主的多种代谢途径,包括宿主的免疫、营养,并且极大地影响宿主的物质能量代谢及与物质能量代谢相关疾病的发生与发展过程.同时又与多个器官共同作用,在宿主的代谢、信息传递,疾病的感染与防御方面起非常重要的作用.深入了解肠道菌群在其参与代谢的具体作用,对理解物质能量代谢相关疾病病因、优化治疗策略、调节肠道菌群、防治疾病和提高宿主健康水平具有重要作用.本研究对人类肠道菌群的形成、物质能量代谢、代谢相关疾病及其防治等方面的研究进展加以综述.     

肠道菌群代谢产物在鼠伤寒沙门菌感染中的作用研究进展

人和动物肠道内生存着多种多样的微生物群体,它们与宿主共同进化,对宿主的健康至关重要。肠道菌群可以发酵宿主难以消化的复杂碳水化合物,为宿主肠道细胞提供能量,同时其代谢产物对肠道病原菌沙门菌的感染产生着重要影响。正常情况下,肠道菌群代谢产物如丁酸与丙酸可以抑制沙门菌在肠道中的定植或者毒力基因的表达,而在肠道菌群受到扰乱时,其代谢的琥珀酸盐和1,2-丙二醇等物质却能促进沙门菌增殖。近年来,越来越多的研究揭示了肠道菌群代谢产物对沙门菌感染的影响。本综述通过总结近年来关于鼠伤寒沙门菌入侵时肠道菌群代谢产物改变的研究,综合阐述了肠道菌群代谢产物影响沙门菌感染的机制。     

肠道微生物、精准营养与健康

肠道微生物对人体健康和疾病发生发展都有着重要的影响。健康的肠道菌群不仅可以保护宿主免受病原菌的侵袭,还可以参与人体多项生理过程,包括生物活性代谢物的产生、免疫调节、糖脂代谢、维持体内平衡等。膳食中的脂肪、蛋白质和碳水化合物作为主要的营养素,在为人类机体提供能量的同时,也对肠道菌群的组成产生重要影响。精准营养旨在结合膳食指南,根据不同个体对营养的需求以及自身基因、肠道菌群的差异,提供科学的个性化膳食建议,以期实现对疾病的预防和控制。但精准营养的发展还存在着诸多方法学上的局限。本文主要回顾了肠道菌群、膳食与健康三者之间的相互关系,指出肠道菌群在精准营养与健康研究中的重要作用和发展前景,重点提出在人群队列水平将人工智能算法应用于肠道微生物组等多组学大数据的必要性及其对精准营养研究的关键作用。     

The Evolution of Mutualism in Gut Microbiota Via Host Epithelial Selection

The human gut harbours a large and genetically diverse population of symbiotic microbes that both feed and protect the host. Evolutionary theory, however, predicts that such genetic diversity can destabilise mutualistic partnerships. How then can the mutualism of the human microbiota be explained? Here we develop an individual-based model of host-associated microbial communities. We first demonstrate the fundamental problem faced by a host: The presence of a genetically diverse microbiota leads to the dominance of the fastest growing microbes instead of the microbes that are most beneficial to the host. We next investigate the potential for host secretions to influence the microbiota. This reveals that the epithelium–microbiota interface acts as a selectivity amplifier: Modest amounts of moderately selective epithelial secretions cause a complete shift in the strains growing at the epithelial surface. This occurs because of the physical structure of the epithelium–microbiota interface: Epithelial secretions have effects that permeate upwards through the whole microbial community, while lumen compounds preferentially affect cells that are soon to slough off. Finally, our model predicts that while antimicrobial secretion can promote host epithelial selection, epithelial nutrient secretion will often be key to host selection. Our findings are consistent with a growing number of empirical papers that indicate an influence of host factors upon microbiota, including growth-promoting glycoconjugates. We argue that host selection is likely to be a key mechanism in the stabilisation of the mutualism between a host and its microbiota.     

Kinship,inbreeding and fine‐scale spatial structure influence gut microbiota in a hindgut‐fermenting tortoise

Herbivorous vertebrates rely on complex communities of mutualistic gut bacteria to facilitate the digestion of celluloses and hemicelluloses. Gut microbes are often convergent based on diet and gut morphology across a phylogenetically diverse group of mammals. However, little is known about microbial communities of herbivorous hindgut‐fermenting reptiles. Here, we investigate how factors at the individual level might constrain the composition of gut microbes in an obligate herbivorous reptile. Using multiplexed 16S rRNA gene sequencing, we characterized the faecal microbial community of a population of gopher tortoises (Gopherus polyphemus) and examined how age, genetic diversity, spatial structure and kinship influence differences among individuals. We recovered phylotypes associated with known cellulolytic function, including candidate phylum Termite Group 3, suggesting their importance for gopher tortoise digestion. Although host genetic structure did not explain variation in microbial composition and community structure, we found that fine‐scale spatial structure, inbreeding, degree of relatedness and possibly ontogeny shaped patterns of diversity in faecal microbiomes of gopher tortoises. Our findings corroborate widespread convergence of faecal‐associated microbes based on gut morphology and diet and demonstrate the role of spatial and demographic structure in driving differentiation of gut microbiota in natural populations.     

人类肠道微生物组与相关疾病研究进展

人体肠道共生着数以万亿计的微生物,肠道微生物在维持宿主正常生理功能中发挥重要作用,其成分和功能变化可导致严重的肠道和全身性疾病。以新一代测序技术和生物信息学分析为基础的元基因组学研究不仅极大地推动了对人类肠道微生物的整体认识,还加深了对肠道微生物代谢产物促进人类健康机理的理解,为肠道炎症、代谢性疾病和癌症等人类疾病的诊断与治疗提供了新思路。就肠道微生物元基因组学与肠道相关疾病的研究进展作一综述。     

Dietary input of microbes and host genetic variation shape among-population differences in stickleback gut microbiota

To explain differences in gut microbial communities we must determine how processes regulating microbial community assembly (colonization, persistence) differ among hosts and affect microbiota composition. We surveyed the gut microbiota of threespine stickleback (Gasterosteus aculeatus) from 10 geographically clustered populations and sequenced environmental samples to track potential colonizing microbes and quantify the effects of host environment and genotype. Gut microbiota composition and diversity varied among populations. These among-population differences were associated with multiple covarying ecological variables: habitat type (lake, stream, estuary), lake geomorphology and food- (but not water-) associated microbiota. Fish genotype also covaried with gut microbiota composition; more genetically divergent populations exhibited more divergent gut microbiota. Our results suggest that population level differences in stickleback gut microbiota may depend more on internal sorting processes (host genotype) than on colonization processes (transient environmental effects).     

微生物组学研究的“淘金时代”

人体及动物肠道中生存着数量庞大的共生微生物;这些微生物无时无刻不参与着宿主的生命活动。揭示这些共生微生物在宿主体内的变化规律、与宿主之间的依存和博弈关系等,将使人类更加全面的认知高等生物体的生命本质。本专刊从肠道微生物与疾病、肠道微生物群落结构、肠道微生物与宿主互作、肠道微生物资源和肠道微生物研究方法 5个层面展示了我国科研工作者在肠道微生物研究领域的新进展及新观点。     

Allometry of animal–microbe interactions and global census of animal-associated microbes

Animals live in close association with microorganisms, mostly prokaryotes, living in or on them as commensals, mutualists or parasites, and profoundly affecting host fitness. Most animal–microbe studies focus on microbial community structure; for this project, allometry (scaling of animal attributes with animal size) was applied to animal–microbe relationships across a range of species spanning 12 orders of magnitude in animal mass, from nematodes to whales. Microbial abundances per individual animal were gleaned from published literature and also microscopically counted in three species. Abundance of prokaryotes/individual versus animal mass scales as a nearly linear power function (exponent = 1.07, R² = 0.94). Combining this power function with allometry of animal abundance indicates that macrofauna have an outsized share of animal-associated microorganisms. The total number of animal-associated prokaryotes in Earth''s land animals was calculated to be 1.3–1.4 × 10²⁵ cells and the total of marine animal-associated microbes was calculated to be 8.6–9.0 × 10²⁴ cells. Animal-associated microbes thus total 2.1–2.3 × 10²⁵ of the approximately 10³⁰ prokaryotes on the Earth. Microbes associated with humans comprise 3.3–3.5% of Earth''s animal-associated microbes, and domestic animals harbour 14–20% of all animal-associated microbes, adding a new dimension to the scale of human impact on the biosphere. This novel allometric power function may reflect underlying mechanisms involving the transfer of energy and materials between microorganisms and their animal hosts. Microbial diversity indices of animal gut communities and gut microbial species richness for 60 mammals did not indicate significant scaling relationships with animal body mass; however, further research in this area is warranted.     

Gut microbial diversity across a contact zone for California voles: Implications for lineage divergence of hosts and mitonuclear mismatch in the assembly of the mammalian gut microbiome

Gut microbial diversity is thought to reflect the co‐evolution of microbes and their hosts as well as current host‐specific attributes such as genetic background and environmental setting. To explore interactions among these parameters, we characterized variation in gut microbiome composition of California voles (Microtus californicus) across a contact zone between two recently diverged lineages of this species. Because this contact zone contains individuals with mismatched mitochondrial‐nuclear genomes (cybrids), it provides an important opportunity to explore how different components of the genotype contribute to gut microbial diversity. Analyses of bacterial 16S rRNA sequences and joint species distribution modelling revealed that host genotypes and genetic differentiation among host populations together explained more than 50% of microbial community variation across our sampling transect. The ranked importance (most to least) of factors contributing to gut microbial diversity in our study populations were: genome‐wide population differentiation, local environmental conditions, and host genotypes. However, differences in microbial communities among vole populations (β‐diversity) did not follow patterns of lineage divergence (i.e., phylosymbiosis). Instead, among‐population variation was best explained by the spatial distribution of hosts, as expected if the environment is a primary source of gut microbial diversity (i.e., dispersal limitation hypothesis). Across the contact zone, several bacterial taxa differed in relative abundance between the two parental lineages as well as among individuals with mismatched mitochondrial and nuclear genomes. Thus, genetic divergence among host lineages and mitonuclear genomic mismatches may also contribute to microbial diversity by altering interactions between host genomes and gut microbiota (i.e., hologenome speciation hypothesis).     

Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model

Recent population studies have significantly advanced our understanding of how age shapes the gut microbiota. However, the actual role of age could be inevitably confounded due to the complex and variable environmental factors in human populations. A well-controlled environment is thus necessary to reduce undesirable confounding effects, and recapitulate age-dependent changes in the gut microbiota of healthy primates. Herein we performed 16S rRNA gene sequencing, characterized the age-associated gut microbial profiles from infant to elderly crab-eating macaques reared in captivity, and systemically revealed the lifelong dynamic changes of the primate gut microbiota. While the most significant age-associated taxa were mainly found as commensals such as Faecalibacterium, the abundance of a group of suspicious pathogens such as Helicobacter was exclusively increased in infants, underlining their potential role in host development. Importantly, topology analysis indicated that the network connectivity of gut microbiota was even more age-dependent than taxonomic diversity, and its tremendous decline with age could probably be linked to healthy aging. Moreover, we identified key driver microbes responsible for such age-dependent network changes, which were further linked to altered metabolic functions of lipids, carbohydrates, and amino acids, as well as phenotypes in the microbial community. The current study thus demonstrates the lifelong age-dependent changes and their driver microbes in the primate gut microbiota, and provides new insights into their roles in the development and healthy aging of their hosts.     

肠道微生物与昆虫的共生关系

昆虫肠道栖息着大量的微生物。随着近年来研究肠道微生物的方法不断进步,尤其是基于16S rDNA的分子生物学方法的应用,人们对肠道微生物的了解逐渐加深。昆虫肠道对于微生物的拓殖存在一定的选择作用。肠道微生物对昆虫寄主的作用包括提供营养、利用拓殖抗性抵抗外来微生物侵袭、参与多重营养关系、引起昆虫免疫反应。长期进化过程中肠道微生物与昆虫发展出紧密的共生关系,微生物发展出一系列手段适应昆虫肠道环境。文章从以上几个方面对近年来的研究进展进行总结,并对昆虫肠道微生态学的实践意义和将来可能的研究热点进行展望。     

Bacteriophage Latent-Period Evolution as a Response to Resource Availability

Bacteriophages (phages) modify microbial communities by lysing hosts, transferring genetic material, and effecting lysogenic conversion. To understand how natural communities are affected it is important to develop predictive models. Here we consider how variation between models—in eclipse period, latent period, adsorption constant, burst size, the handling of differences in host quantity and host quality, and in modeling strategy—can affect predictions. First we compare two published models of phage growth, which differ primarily in terms of how they model the kinetics of phage adsorption; one is a computer simulation and the other is an explicit calculation. At higher host quantities (~10⁸ cells/ml), both models closely predict experimentally determined phage population growth rates. At lower host quantities (10⁷ cells/ml), the computer simulation continues to closely predict phage growth rates, but the explicit model does not. Next we concentrate on predictions of latent-period optima. A latent-period optimum is the latent period that maximizes the population growth of a specific phage growing in the presence of a specific quantity and quality of host cells. Both models predict similar latent-period optima at higher host densities (e.g., 17 min at 10⁸ cells/ml). At lower host densities, however, the computer simulation predicts latent-period optima that are much shorter than those suggested by explicit calculations (e.g., 90 versus 1,250 min at 10⁵ cells/ml). Finally, we consider the impact of host quality on phage latent-period evolution. By taking care to differentiate latent-period phenotypic plasticity from latent-period evolution, we argue that the impact of host quality on phage latent-period evolution may be relatively small.