PCR-DGGE指纹图谱技术分析2型糖尿病模型小鼠胃微生物菌群结构

糖尿病患者多出现胃肠道功能紊乱,如急性胃炎、胃溃疡,以及胃动力低下,胃排空延迟、胃内细菌过度滋长等,进一步导致肠道疾病。研究糖尿病胃内容物菌群结构变化对研究糖尿病发病机理及并发症治疗具有重要意义。该项研究采用变性梯度凝胶电泳技术,对10只2型糖尿病模型小鼠及10只正常对照小鼠进行胃内容物和粘膜样本菌群结构研究。结果表明,实验组小鼠与对照组小鼠胃内容物和粘膜菌群条带数、多样性指数、丰富度指数、均匀度指数与优势度指数均无显著差异,且相似度系数差异不明显。而特异条带测序结果显示正常小鼠胃内含乳杆菌,实验组小鼠胃内乳杆菌含量很低甚至检测不到。提示胃内乳杆菌与2型糖尿病密切相关。     

口腔微生物多样性研究进展

口腔微生物多样性的改变是口腔常见感染性疾病的发病机制之一,随着分子生物学技术的普遍应用,研究者能够不通过纯培养技术即可对人类口腔不同生态系的微生物组成及变化进行研究。本文综述了当前口腔微生物多样性研究的常用方法及各自的特点,从而为口腔微生物生态方面的进一步深入研究提供参考。     

不同妊娠状态下女性口腔微生物的结构差异性

【背景】妊娠期妇女口腔微生物改变与口腔疾病及全身性疾病之间有显著相关性。【目的】比较不同妊娠状态下女性口腔微生物结构的差异,探讨该差异与不同妊娠状态间的关联性。【方法】选取18名孕妇和9名非孕妇为研究对象[（28.2±3）岁],分为妊娠期糖尿病组[gestational diabetes mellitus,GDM,年龄（28.9±3.6）岁,孕周（30.1±3.2）周]、妊娠期非糖尿病组[non-diabetic pregnant women,PW,年龄（27.9±3.0）岁,孕周（28.6±4.7）周]和非妊娠期非糖尿病组[non-pregnant women,NPW,年龄（27.7±2.1）岁],每组9名,收集口腔唾液（saliva,S）和龈上牙菌斑（supragingival dental plaque,D）,采取Illumina Novaseq测序平台针对细菌16S rRNA基因的V3-V4可变区进行测序,以SILVA为参考数据库使用朴素贝叶斯分类器对特征序列进行分类学注释,利用QIIME软件对样本进行生物信息学分析。【结果】三组中唾液及牙菌斑微生物差异比较显示：D-GDM中二氧化碳嗜纤维菌属检出量高于D-PW,而月形单胞菌属检出量显著低于D-PW;S-GDM中产气单胞菌属、拟杆菌属等厌氧菌属检出量高于S-PW,韦荣氏菌属检出量低于S-PW;D-PW中纤毛菌属、普氏菌属和月形单胞菌属检出量显著高于D-NPW;D-NPW中产气单胞菌属、放线杆菌属、二氧化碳嗜纤维杆菌属、奈瑟菌属、链球菌属和劳特罗氏菌属等检出量高于D-PW;S-PW中韦荣菌属、普氏菌属、链球菌属和卟啉单胞菌属检出量低于S-NPW;D-GDM中福赛斯坦纳菌属、纤毛菌属检出量高于D-NPW,劳特罗氏菌属检出量低于D-NPW;S-GDM中密螺旋体属、弯曲杆菌属检出量高于S-NPW,链球菌属低于S-NPW。在种水平上,S-GDM菌群中具核梭杆菌检出量显著高于S-PW,S-GDM菌群中牙龈卟啉单胞菌及福赛斯坦纳菌检出量与S-PW差异无统计学意义,产黑普氏菌检出量低于S-PW;S-PW中牙龈卟啉单胞菌、产黑普氏菌和福赛斯坦纳菌检出量均显著高于S-NPW。【结论】孕妇妊娠期糖尿病将增加口腔微生物群厌氧菌检出率,GDM与牙龈卟啉单胞菌、福赛斯坦纳菌和产黑普氏菌等牙周炎致病菌相关性不能确定。     

DGGE技术在动物胃肠道微生物研究中的应用

变性梯度凝胶电泳(DGGE)是通过聚丙烯酰胺凝胶中变性剂浓度梯度的不同,将序列不同的DNA分开。目前,该技术已广泛应用于瘤胃微生物、肠道微生物等多样性研究。综述了变性梯度凝胶电泳技术的基本原理、优缺点及其在动物营养中的应用。     

变性梯度凝胶电泳在堆肥微生物研究中的应用

对当前堆肥中微生物种群分布及其对有机物分解作用的研究进行分析,论述了分子生物技术中的变性梯度凝胶电泳(DGGE)的特点。将DGCE与PCR扩增技术相结合,可用于研究自然菌种堆肥和人工培养驯化菌种堆肥过程中微生物的演替规律,为研究和筛选堆肥中的微生物提供更加有效、快速的信息,促进堆肥技术的发展。     

DGGE/TGGE技术及其在微生物分子生态学中的应用

变性梯度凝胶电泳(DGGE)和温度梯度凝胶电泳(TGGE)是近些年微生物分子生态学研究中的热点技术之一。由于DGGE／TGGE技术具有可靠性强、重现性高、方便快捷等优点,被广泛地应用于微生物群落多样性和动态性分析。文章对DGGE／TGGE技术原理与关键环节、局限性和应用前景进行了综述。     

利用PCR-DGGE方法分析不同鸡群的盲肠微生物菌群结构变化

研究不同品种、饲养阶段的健康和不良鸡群对盲肠细菌种群结构和多样性的影响。使用基于16S rDNA的PCR-DGGE技术,结合割胶回收DNA进行克隆和测序,分别以4、6、10、16、20、40周龄蛋鸡及1、2、4、6、7、8周龄肉鸡健康、不良鸡群盲肠内容物为样本,研究其中特定细菌类群的16S rDNA序列片段指纹图谱,并进行聚类分析,鉴定特异性和共性种群。在两品种健康鸡群盲肠内容物的细菌群落中,Lactobacillus属菌株的相似性均高于不良鸡群,并且在不同饲养阶段的健康、不良鸡群间指纹图谱平均条带数差异显著(P<0.05);而Bacteroides属菌株在健康鸡群盲肠内容物细菌的相似性与不良鸡群较为相近,健康、不良鸡群间平均条带数差异显著(P<0.05);Clostridium属菌株在蛋鸡20、40周龄的平均条带数差异不显著(P>0.05),但肉鸡各周龄健康、不良鸡群间的平均条带数差异显著(P<0.05)。序列测序结果,在蛋鸡产蛋期健康、不良鸡群样本中均检测到能动乳杆菌(Lactobacillus agilis),而育雏和育成期中均检测到鸟乳杆菌(Lactobacillus aviaries)和不可培养细菌;两品种的健康、不良鸡群样本中均检测到Bacteroides属的生酸拟杆菌(Bacteroides acidifaciens)、不可培养物细菌(Uncultured bacterium);而健康、不良蛋鸡群样本中均检测到Clostridium属不可培养的变形菌(Uncultured proteobacterium),健康肉鸡群中检测到索氏志贺菌(Shigella sonnei),而两品种不良鸡群中均缺乏此类菌种。结果显示,不同品种、饲养阶段的鸡群,其盲肠细菌群落的组成差异显著,并且细菌种群结构对鸡群的生长发育影响较大。     

PCR-DGGE技术用于湖泊沉积物中微生物群落结构多样性研究

采用PCR-DGGE分子指纹图谱技术比较南京市玄武湖、奠愁湖和太湖不同位置的表层沉积物微生物群落结构,研究结果表明,三湖泊沉积物微生物的16SrDNA的PCR扩增结果约为626bp,为16S rDNA V3～V5区特异性片段。玄武湖和莫愁湖表层沉积物中大约有20种优势菌群,且同一湖泊不同采样点DGGE图谱的差异性不大,细菌群落结构具有较高的相似性,而太湖样品DGGE条带的数目和位置表现出明显差异,且不同采样点图谱的差异性较大。三湖泊除具有特征性的微生物种属外,还分布约5个相同的细菌种群,可能与沉积物的理化性质和水生植被的影响相关。对DGGE图谱中7条主带进行回收、扩增和测序,结果显示其优势菌群具有不同的序列组成,其中5个序列与Genebank中已登录的细菌种群的同源性≥99％,2个序列的同源性为96％和93％,其中2个相似的细菌类群目前尚未获得纯培养。     

用于分析土壤微生物结构变化规律的变性梯度凝胶电泳条件研究

研究确定土壤微生物基因组DNA提取方法、PCR扩增条件、DGGE电泳条件,为进一步研究分析土壤中微生物结构变化规律提供理论依据。土壤微生物基因组DNA提取采用直接法和间接法进行比较; PCR扩增条件调整扩增体系、DGGE电泳条件调整变性剂范围,并对其结果进行比较分析。通过对DGGE电泳相关条件的研究,结果显示,土壤中粗基因组DNA采用直接法提取,然后进行纯化; PCR扩增体系中加入BSA,DGGE电泳系统组成中变性剂浓度范围为35%～55%。确定了土壤微生物基因组DNA提取方法、PCR扩增条件、DGGE电泳条件,为后续的相关研究提供理论依据。     

口腔微生物群和人体健康

口腔微生物群作为人体微生物群的重要组成部分,其与人体健康之间的关系已成为各领域研究的焦点。口腔微生物群种类繁多、组成复杂,涵盖了细菌、真菌、古细菌和病毒等。近年来的研究显示,口腔微生物群的组成和比例与人体健康密切相关,会影响口腔疾病如龋齿、牙周病的发生。同时口腔微生物也是全身系统性疾病如肺炎、肿瘤和糖尿病等发生的危险因素之一。大量研究认为,口腔微生物群组成的改变、口腔微生物群之间的相互作用对疾病的发生有协同促进作用。本文聚焦于口腔微生物群的组成相关研究、口腔微生物组的最新进展,并对其与人体健康之间的关系进行综述。     

Temporal patterns of microbial community structure in the Mid-Atlantic Bight

Although open ocean time-series sites have been areas of microbial research for years, relatively little is known about the population dynamics of bacterioplankton communities in the coastal ocean on kilometer spatial and seasonal temporal scales. To gain a better understanding of microbial community variability, monthly samples of bacterial biomass were collected in 1995-1996 along a 34-km transect near the Long-Term Ecosystem Observatory (LEO-15) off the New Jersey coast. Surface and bottom sampling was performed at seven stations along a transect line with depths ranging from 1 to 35 m (n=178). Microbial populations were fingerprinted using ribosomal 16S rRNA genes and terminal restriction fragment length polymorphism analysis. Results from cluster analysis revealed distinct temporal patterns among the bacterioplankton communities in the Mid-Atlantic Bight rather than grouping by sample location or depth. Principal components analysis models supported the temporal patterns. In addition, partial least squares regression modeling could not discern a significant correlation from traditional oceanographic physical and phytoplankton nutrient parameters on overall bacterial community variability patterns at LEO-15. These results suggest factors not traditionally measured during oceanographic studies are structuring coastal microbial communities.     

Turkey fecal microbial community structure and functional gene diversity revealed by 16S rRNA gene and metagenomic sequences

The primary goal of this study was to better understand the microbial composition and functional genetic diversity associated with turkey fecal communities. To achieve this, 16S rRNA gene and metagenomic clone libraries were sequenced from turkey fecal samples. The analysis of 382 16S rRNA gene sequences showed that the most abundant bacteria were closely related to Lactobacillales (47%), Bacillales (31%), and Clostridiales (11%). Actinomycetales, Enterobacteriales, and Bacteroidales sequences were also identified, but represented a smaller part of the community. The analysis of 379 metagenomic sequences showed that most clones were similar to bacterial protein sequences (58%). Bacteriophage (10%) and avian viruses (3%) sequences were also represented. Of all metagenomic clones potentially encoding for bacterial proteins, most were similar to low G+C Gram-positive bacterial proteins, particularly from Lactobacillales (50%), Bacillales (11%), and Clostridiales (8%). Bioinformatic analyses suggested the presence of genes encoding for membrane proteins, lipoproteins, hydrolases, and functional genes associated with the metabolism of nitrogen and sulfur containing compounds. The results from this study further confirmed the predominance of Firmicutes in the avian gut and highlight the value of coupling 16S rRNA gene and metagenomic sequencing data analysis to study the microbial composition of avian fecal microbial communities.     

Stability and microbial community structure of a partial nitrifying fixed-film bioreactor in long run

A partial nitrification system was investigated for 471 days under DO varying concentrations for assessing its stability and population dynamics. Within 130 days of operation at feed DO concentration of 1.0 ± 0.1 mg/L, more than 85% of nitrite was accumulated. Efficiency deteriorated when the feed DO concentration was increased to 4.2 ± 0.3 mg/L. Nitrite accumulation could not be re-established on decreasing feed DO to 1.0 ± 0.1 mg/L. Even at DO concentration of <0.05 mg/L, nitrate production was observed; a condition termed as anoxic nitrification. NOB was detected in the biomass even under this condition by Fluorescence in-situ hybridization (FISH) analysis. Through 16S rRNA gene sequencing a major fraction of unknown bacterial sequences closely resembling haloalkalophilic bacteria of marine origin were detected. The study indicated that these bacterial species might play a role in anoxic nitrification and that NOB could survive extreme low DO condition.     

Determining the genetic diversity of lactobacilli from the oral cavity

Several methods for determining the diversity of Lactobacillus spp were evaluated with the purpose of developing a realistic approach for further studies. The patient population was comprised of young children with an oral disease called severe early childhood caries. The ultimate goal of these studies was to ascertain the role of lactobacilli in the caries process. To accomplish that goal, we evaluated several methods and approaches for determining diversity including AP-PCR, chromosomal DNA fingerprinting, denaturing gradient gel electrophoresis, and 16S rRNA gene sequencing. Central to these methods was the gathering and screening of isolates from cultivation medium. Using various estimates of diversity, we addressed the question as to how many isolates represent the overall diversity and how cultivation compares to non-cultivation techniques. Finally, we proposed a working approach for achieving the goals outlined framed by both practical constraints in terms of time, effort and efficacy while yielding a reliable outcome.     

Defining seasonal marine microbial community dynamics

Here we describe, the longest microbial time-series analyzed to date using high-resolution 16S rRNA tag pyrosequencing of samples taken monthly over 6 years at a temperate marine coastal site off Plymouth, UK. Data treatment effected the estimation of community richness over a 6-year period, whereby 8794 operational taxonomic units (OTUs) were identified using single-linkage preclustering and 21 130 OTUs were identified by denoising the data. The Alphaproteobacteria were the most abundant Class, and the most frequently recorded OTUs were members of the Rickettsiales (SAR 11) and Rhodobacteriales. This near-surface ocean bacterial community showed strong repeatable seasonal patterns, which were defined by winter peaks in diversity across all years. Environmental variables explained far more variation in seasonally predictable bacteria than did data on protists or metazoan biomass. Change in day length alone explains >65% of the variance in community diversity. The results suggested that seasonal changes in environmental variables are more important than trophic interactions. Interestingly, microbial association network analysis showed that correlations in abundance were stronger within bacterial taxa rather than between bacteria and eukaryotes, or between bacteria and environmental variables.     

A comparison of DNA- and RNA-based clone libraries from the same marine bacterioplankton community

Clones from the same marine bacterioplankton community were sequenced, 100 clones based on DNA (16S rRNA genes) and 100 clones based on RNA (16S rRNA). This bacterioplankton community was dominated by alpha-Proteobacteria in terms of repetitive DNA clones (52%), but gamma-Proteobacteria dominated in terms of repetitive RNA clones (44%). The combined analysis led to a characterization of phylotypes otherwise uncharacterized if only the DNA or RNA libraries would have been analyzed alone. Of the DNA clones, 25.5% were found only in this library and no close relatives were detected in the RNA library. For clones from the RNA library, 21.5% of RNA clones did not indicate close relatives in the DNA library. Based on the comparisons between DNA and RNA libraries, our data indicate that the characterization of the bacterial community based on RNA has the potential to characterize distinct phylotypes from the marine environment, which remain undetected on the DNA level.     

Comparison of DNA extraction methods for human gut microbial community profiling

The human gut harbors a vast range of microbes that have significant impact on health and disease. Therefore, gut microbiome profiling holds promise for use in early diagnosis and precision medicine development. Accurate profiling of the highly complex gut microbiome requires DNA extraction methods that provide sufficient coverage of the original community as well as adequate quality and quantity. We tested nine different DNA extraction methods using three commercial kits (TianLong Stool DNA/RNA Extraction Kit (TS), QIAamp DNA Stool Mini Kit (QS), and QIAamp PowerFecal DNA Kit (QP)) with or without additional bead-beating step using manual or automated methods and compared them in terms of DNA extraction ability from human fecal sample. All methods produced DNA in sufficient concentration and quality for use in sequencing, and the samples were clustered according to the DNA extraction method. Inclusion of bead-beating step especially resulted in higher degrees of microbial diversity and had the greatest effect on gut microbiome composition. Among the samples subjected to bead-beating method, TS kit samples were more similar to QP kit samples than QS kit samples. Our results emphasize the importance of mechanical disruption step for a more comprehensive profiling of the human gut microbiome.     

Analysis of the microbial community in moderately acidic drainage from the Yanahara pyrite mine in Japan

Acid rock drainage (ARD) originating from the Yasumi-ishi tunnel near the main tunnel of the Yanahara mine in Japan was characterized to be moderately acidic (pH 4.1) and contained iron at a low concentration (51?mg/L). The composition of the microbial community was determined by sequence analysis of 16S rRNA genes using PCR and denaturing gradient gel electrophoresis. The analysis of the obtained sequences showed their similarity to clones recently detected in other moderately acidic mine drainages. Uncultured bacteria related to Ferrovum- and Gallionella-like clones were dominant in the microbial community. Analyses using specific primers for acidophilic iron- or sulfur-oxidizing bacteria, Acidithiobacillus ferrooxidans, Leptospirillum spp., Acidithiobacillus caldus, Acidithiobacillus thiooxidans, and Sulfobacillus spp. revealed the absence of these bacteria in the microbial community in ARD from the Yasumi-ishi tunnel. Clones affiliated with a member of the order Thermoplasmatales were detected as the dominant archaea in the ARD microbial population.