基于宏基因组研究植物乳酸菌或博落回提取物对山羊回肠微生物合成维生素B12的影响

【目的】探索研究反刍动物胃肠道微生物合成维生素B₁₂的方法,并评估植物乳酸菌或博落回提取物对断奶山羊回肠食靡微生物合成维生素B₁₂的影响。【方法】选取体重相近年龄相仿的断奶黑山羊20只,随机分为对照组(CON, n=7)、乳酸菌组(LAC, n=7)和博落回组(MAC, n=6)。CON组饲喂普通的日粮,LAC组饲喂基础日粮+10 g/d的植物乳酸菌(Lactobacillus plantarum P-8 strains, 4.0×10⁹ CFU/g),MAC组饲喂基础日粮+0.3 g/d的博落回提取物(Macleaya cordata 3.75%)。试验结束后,采集回肠中段食靡样品。利用宏基因组测序技术,比对最新功能基因数据库VB12Path和公共数据库KEGG,分析植物乳酸菌和博落回提取物对山羊回肠食靡微生物合成维生素B₁₂的影响。【结果】结果显示,比对VB12Path数据库共注释到55个与维生素B₁₂合成相关的基因。与CON组相比,LAC组和MAC组中合成维生素B₁₂基因的丰富度和均匀度降低(P<0.05）。3组间基因的β多样性也有显著的差异(P<0.05);比对KEGG数据库共注释到49个与维生素B₁₂合成相关的基因,LAC组的多样性与CON组没有差异,但MAC组的α多样性显著降低(P<0.05)。值得注意的是,比对VB12Path数据库和KEGG数据库均发现LAC组和MAC组中参与前咕啉2合成途径、参与无氧合成途径、有氧合成途径、参与重排转换途径以及腺苷钴胺素合成途径的部分基因(gltX、cbiT、cobT和btuD等)的丰度均显著地高于CON组(P<0.05)。【结论】2个数据库比对后的相似结果表明博落回提取物在对断奶山羊回肠微生物合成维生素B₁₂相关代谢上与植物乳酸菌的作用相似,均可以通过改变其多样性和提高部分关键基因的丰度,从而影响微生物合成维生素B₁₂的潜能,为后期博落回提取物和植物乳酸菌在畜牧养殖中的运用提供一定的理论支撑。此外,2个数据库比对的差异提示未来研究胃肠道微生物维生素B₁₂相关代谢时,应用多个数据库比对,能更全面精确地进行评价,为后期分析过程奠定研究基础和提供新的思路。     

Inferring microbial interaction networks based on consensus similarity network fusion

With the rapid accumulation of high-throughput metagenomic sequencing data, it is possible to infer microbial species relations in a microbial community systematically. In recent years, some approaches have been proposed for identifying microbial interaction network. These methods often focus on one dataset without considering the advantage of data integration. In this study, we propose to use a similarity network fusion (SNF) method to infer microbial relations. The SNF efficiently integrates the similarities of species derived from different datasets by a cross-network diffusion process. We also introduce consensus k-nearest neighborhood (Ck-NN) method instead of k-NN in the original SNF (we call the approach CSNF). The final network represents the augmented species relationships with aggregated evidence from various datasets, taking advantage of complementarity in the data. We apply the method on genus profiles derived from three microbiome datasets and we find that CSNF can discover the modular structure of microbial interaction network which cannot be identified by analyzing a single dataset.     

生物元件的挖掘、改造与标准化

生物元件是合成生物学中的三大基本要素之一,是合成生物学的基石。现阶段,生物元件的挖掘、鉴定和改造仍然是合成生物学领域的重要研究方向之一。合成生物学与基因工程和代谢工程最显著的差别在于能够将大量的生物元件进行快速、随意的组装,而实现这一目标的前提是将生物元件标准化。目前,已经有大量基因组被解析,通过这些基因组数据库的注释与功能验证,并借助于各种生物信息学软件预测启动子、终止子、操纵了、转录因子和转录因子结合位点、核糖体结合位点以及蛋白质编码区等部件,为合成生物学提供丰富的生物元件信息资源。随着元基因组技术的兴起,大量未培养微生物中的基因和基因簇信息被解析,使得我们可以从占自然界中实际存在微生物总数99％的未知微生物中挖掘更多的生物元件。另外,生物元件可以从自然界分离出来,也可以对天然生物元件进行修饰、重组和改造后得到新的元件。酵母是异源蛋白表达的通用宿主和生物基产品生产的细胞工厂,但其本身可用的启动子非常有限,近年来各国学者在酵母启动子改造和文库构建方面做了很多工作,该文也将概述酵母启动子改造和在合成生物生物学研究领域中的应用方面的研究进展。     

An Acidic Polysaccharide in Seeds of Pisum sativum L.

A phenanthrene-assimilating bacterium which belongs to the genus Aeromonas was isolated from soil. The cells which adapted to phenanthrene required a growth lag time on a naphthalene medium. The cells oxidized l-hydroxy-2-naphthoate (1H2NA), 2-carboxybenzaldehyde (2CBAL), o-phthalate (OPA) and protocatechuate (PCA) but did not oxidize salicylaldehyde (SAL), salicylate (SA) and catechol (CAT) which are intermediates in naphthalene catabolism. Using the cell-free extract, the same results were obtained in oxidative capacity. The intact cells metabolized 1H2NA and 2CBAL without the lag time, giving 2CBAL and PCA, respectively. The ammonium sulfate-treated extract prepared from the cells grown in phenanthrene medium, converted 1H2NA to 2CBAL and 2CBAL to OPA. It was suggested that the Aeromonas sp. degraded phenanthrene through OPA.     

2020微生物组测序与分析专题序言

微生物是人体、动植物、土壤、沉积物、水体、空气等生境中最重要的生命体。对这些生境中微生物的分析已经成为一项基础的研究技术。微生物组测序与分析作为近年来快速发展的技术,已经在人类健康、环境污染治理、食品工业以及农牧业等领域得到了广泛应用。为了梳理和总结微生物组测序与分析技术的现状、发展状况和应用前景,本专题收录了16篇本领域的论文,分别从样本保存和处理、单菌基因组测序与分析、特殊生境中的微生物组特征分析、微生物组相关数据库和算法以及微生物组测序与分析专家共识等方面,详细介绍了微生物组测序与分析领域的发展态势,为推动我国微生物组测序与分析产业和科研的快速发展、促进微生物组相关产业的良性发展提供必要的参考。     

Viral metagenome analysis to guide human pathogen monitoring in environmental samples

Aims: The aim of this study was to develop and demonstrate an approach for describing the diversity of human pathogenic viruses in an environmentally isolated viral metagenome. Methods and Results: In silico bioinformatic experiments were used to select an optimum annotation strategy for discovering human viruses in virome data sets and applied to annotate a class B biosolid virome. Results from the in silico study indicated that <1% errors in virus identification could be achieved when nucleotide‐based search programs (BLASTn or tBLASTx), viral genome only databases and sequence reads >200 nt were considered. Within the 51 925 annotated sequences, 94 DNA and 19 RNA sequences were identified as human viruses. Virus diversity included environmentally transmitted agents such as parechovirus, coronavirus, adenovirus and aichi virus, as well as viruses associated with chronic human infections such as human herpes and hepatitis C viruses. Conclusions: This study provided a bioinformatic approach for identifying pathogens in a virome data set and demonstrated the human virus diversity in a relevant environmental sample. Significance and Impact of the Study: As the costs of next‐generation sequencing decrease, the pathogen diversity described by virus metagenomes will provide an unbiased guide for subsequent cell culture and quantitative pathogen analyses and ensures that highly enriched and relevant pathogens are not neglected in exposure and risk assessments.     

Differential selection pressure exerted by root rot disease on the microbial communities in the rhizosphere of avocado (Persea americana Mill.)

Despite the high economic impact of root rot disease, knowledge regarding the rhizosphere microflora of avocado trees affected by root rot is limited. Metagenomics was applied to identify the difference in the rhizosphere microflora of avocado trees with and without visible symptoms of root rot. Approximately, 446,970 common gene catalogues differed between them, confirming that root rot affected the bacterial and fungal communities in the rhizosphere. The proportion of bacterial genera, namely, Labilithrix, Sorangium, Sandaracinus and Pedosphaera showed a decrease while Phenylobacterium, Rhizomicrobium, Candidatus Solibacter and Silvibacterium genera were increased by root rot. The proportion of fungal genera, namely, Pseudogymnoascus, Moelleriella, Mortierella, Lepidopterella, Babjeviella, Lachancea, Macrophomina, Pneumocystis, Sugiyamaella and Cyphellophora showed an increase while Cryptococcus, Verticillium, Bipolaris, Pyrenochaeta, Rhizophagus, Cenococcum and Neonectria genera were inhibited by root rot. Moreover, the proportion of the top 10 bacteria in the rhizosphere of symptomatic trees was significantly higher, and that of the top 10 fungi was significantly lower, compared to the asymptomatic trees. Principal component analysis based on abundance analysis and function prediction showed that in symptomatic trees, the bacterial community was more concentrated, while the fungal community was more dispersed. The differences in the responses of bacterial and fungal genera suggested that the pathogenic fungi exert varying selection pressure on the microflora. Moreover, root rot affected the metabolism of carbohydrates, lipids and amino acids in bacteria, and the global and overview maps, carbon metabolism and processing of genetic and environmental information in fungi, which might result in differential selection pressure.     

Human and Extracellular DNA Depletion for Metagenomic Analysis of Complex Clinical Infection Samples Yields Optimized Viable Microbiome Profiles

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Why we need more algal metagenomes1

A recent perspective article ably argued that fully sequencing more algal genomes would enable progress in diverse areas of fundamental and applied studies. More algal genomes would add resources needed to build well‐supported phylogenies, improve our understanding of how horizontal gene transfer has influenced the evolution of algal genomes, provide useful ecological insights, and generate information essential to manipulating the genomes of industrially useful algae (J. Phycol. 51:1). We agree that more algal genomes would be quite beneficial, and also propose that more algal metagenomes would enable progress in both predictable and unforeseen directions.     

Global biogeography of SAR11 marine bacteria

The ubiquitous SAR11 bacterial clade is the most abundant type of organism in the world's oceans, but the reasons for its success are not fully elucidated. We analysed 128 surface marine metagenomes, including 37 new Antarctic metagenomes. The large size of the data set enabled internal transcribed spacer (ITS) regions to be obtained from the Southern polar region, enabling the first global characterization of the distribution of SAR11, from waters spanning temperatures ?2 to 30°C. Our data show a stable co‐occurrence of phylotypes within both ‘tropical’ (>20°C) and ‘polar’ (<10°C) biomes, highlighting ecological niche differentiation between major SAR11 subgroups. All phylotypes display transitions in abundance that are strongly correlated with temperature and latitude. By assembling SAR11 genomes from Antarctic metagenome data, we identified specific genes, biases in gene functions and signatures of positive selection in the genomes of the polar SAR11—genomic signatures of adaptive radiation. Our data demonstrate the importance of adaptive radiation in the organism's ability to proliferate throughout the world's oceans, and describe genomic traits characteristic of different phylotypes in specific marine biomes.