南明河城区河段细菌多样性与环境因子的关系

摘要:【目的】了解南明河城区河段细菌群落结构及多样性变化,探讨城区河段环境因子对细菌群落结构的影响。【方法】应用对细菌16S rDNA V4区的高通量测序技术,分析和比较了南明河流经城区的5个样点的细菌群落多样性;然后采用冗余分析(RDA)探讨了水体环境因子与细菌多样性的关系。【结果】南明河贵阳区段细菌多样性指数( Shannon-Wiener 指数)分析结果显示,多样性指数平均达7.5,乌当桥采样点的细菌多样性＞水口寺采样点＞五眼桥采样＞花溪大桥采样点＞冠洲桥采样点。序列比对结果显示,南明河内细菌除了部分分类地位不明确的菌群和稀有菌群外,其余分布于11个门包含327个属的细菌,优势菌门为变形菌门(Proteobacterice,66.1%±3.30%),其中γ-变形菌纲(Gammaproteobacteria,54.76%±4.86%)为优势亚群,假单胞菌属(Pseudomonas,16.92%±0.02%)为优势菌属;RDA结果表明不同菌群受不同环境因子的影响 不同,菌属群落Ⅳ和环境中总氮、总磷显著正相关。【结论】高通量测序分析能获得更为全面的细菌群落多样性信息。河流经过城区后环境因子发生较大变化,影响河流细菌群落结构改变。这为研究河流城市区段的细菌结构多样性及与环境因子的关系提供了新的科学数据。     

基于不同通用引物比较分析肠道微生物群落变化

肠道微生物对于人体健康的重要作用已经得到广泛证实,目前,对肠道微生物的研究大多采用基于扩增细菌16S rRNA基因V3-V4区的高通量测序分析,对古菌的关注较少。本研究选择了一对可以同时扩增细菌和古菌16S rRNA基因的引物,通过比较人为干扰肠道微生物前后的群落变化,说明这对引物适宜分析人类肠道细菌和古菌群落变化并具有一定优越性。采集志愿者粪便样品,同时用仅能扩增细菌引物 (B引物) 和细菌古菌通用引物 (AB引物) 进行扩增和高通量测序;使用几个常用的rRNA数据库判断引物对细菌的覆盖度和对古菌的扩增能力。结果表明,AB引物在可以展示B引物扩增出的细菌群落的基础上,可以得到肠道中常见的产甲烷古菌的序列,同时也展示出人为干扰肠道微生物前后的群落结构变化。AB引物可以仅通过一次扩增和测序同时分析肠道中的细菌和古菌群落,更加全面展示肠道微生物群落结构,适用于肠道微生物相关研究。     

新疆北部主要盐生植物根部内生细菌群落结构的高通量分析

【目的】揭示同一盐渍环境中不同种盐生植物根部内生细菌群落多样性特征和分布规律,结合根际土壤理化因子探讨其对内生细菌群落结构的影响。【方法】通过罗氏454高通量测序获得内生细菌16S r RNA片段,然后进行生物信息分析。【结果】研究的16种盐生植物其内生细菌群落主要由Proteobacteria、Tenericutes、Actinobacteria和Firmicutes 4个门的细菌组成。从植物"种"的水平来看,不同种盐生植物内生细菌群落存在差异;从植物"属"的水平来看,同一属的盐生植物内生细菌相似;从植物"科"的水平来看,藜科盐生植物内生细菌以Actinobacteria和Proteobacteria门为主;蒺藜科盐生植物内生细菌以Proteobacteria门为主;柽柳科盐生植物内生细菌以Tenericutes门为主;白花丹科盐生植物内生细菌以Proteobacteria、Fimicutes和Actinobacteria门为主。根际土壤中Cl~–含量对盐生植物内生细菌群落变化具有显著影响;而Cl~–、Mg~(2+)和总氮组成的集合与内生细菌群落结构相关性最高。【结论】盐生植物内生细菌多样性丰富。在同一盐渍生境中,盐生植物内生细菌群落分布呈现宿主的种属特异性,根际土壤中Cl~–是影响其内生细菌群落变化的主要驱动因素之一。     

基于高通量测序的稀释平板计数细菌群落变化研究

【目的】明确平板计数法中不同稀释梯度对土壤细菌数量和组成的影响规律,比较稀释平板计数法和高通量测序研究土地利用方式变化下土壤细菌群落的差异。【方法】针对不同土地利用方式下的4种土壤(次生林、健康蕉园、发病蕉园和水稻土),设置5个土壤悬液10^-1-10^-5稀释梯度开展平板计数,获得平板上可培养细菌富集物并提取总DNA;同时直接提取原位土壤微生物总DNA,高通量测序细菌富集物DNA和土壤总DNA中的16S rRNA基因,研究不同土壤悬液稀释梯度下的可培养细菌群落和背景土壤细菌多样性,明确可培养细菌占土壤总细菌的比例以及多样性差异。【结果】次生林垦殖为蕉园土壤后土壤呼吸增幅最高,细菌数量降幅最高,稀释平板计数与实时荧光定量PCR (real-time fluorescent quantitative PCR)结果一致,但其他土地利用方式变化的稀释平板计数与实时荧光定量细菌数量的结果并不完全一致。连续稀释显著降低了可培养细菌多样性。与原位土壤总细菌相比,土壤可培养细菌群落Chao 1指数降幅高达86%-98%。与土壤悬液稀释10倍(10^-1...     

甘肃省野生羊肚菌根际细菌群落与土壤环境因子相关性研究

[背景]羊肚菌是全球广泛分布的物种,具有重要的经济和科研价值,其根际微生态系统各要素间的相关性研究相对较少.[目的]探究甘肃省不同地区野生羊肚菌根际土壤中细菌群落-土壤理化性质及细菌群落-酶活性相关性.[方法]采用Illumina MiSeq高通量测序技术,对细菌群落组成进行测量,进而分析其多样性,最终揭示细菌群落-土...     

大豆不同生育期根际土壤细菌群落结构的变化

为了解大豆根际细菌群落结构多样性及根际细菌群落结构的变化,该研究以大豆苗期和成熟期的根际土壤为材料,采用Illumina高通量测序技术测定细菌16S rRNA V3+V4区序列,探究大豆不同生育期根际土壤细菌群落结构的变化。对原始数据进行拼接、过滤、去除嵌合体序列和聚类分析等数据处理,并对OTU进行分类学注释。在此基础上运用ANOVA分析物种组成变化,Alpha多样性指数研究细菌多样性变化。结果表明:细菌丰富度和多样性在不同生育期有显著变化,其中成熟期土壤中的细菌丰富度和多样性指数均明显高于苗期; 变形菌、放线菌、酸杆菌是大豆根际的优势菌门,其含量在不同生育期也有显著变化; 假诺卡氏菌属、糖丝菌属、鞘氨醇单胞菌属是大豆根际的优势菌属,这些菌属中的部分菌群属于根际促生菌,具有潜在的促生效应。这些结果证实大豆的生育期对根际土壤细菌群落结构有重要影响。     

典型农田退耕后土壤真菌与细菌群落的演替

土壤真菌和细菌作为地下生态系统的重要组成部分,其群落的恢复状况是评价农田退耕还林生态效益的重要指标。以云南省维西县典型退耕还林农田为对象,利用高通量测序等方法比较了不同退耕年限的农田土壤中真菌和细菌群落随植被演替的变化特征。结果发现,农田撂荒后土壤细菌多样性先显著降低后缓慢上升,真菌多样性变化不明显;地上部植被由草本经灌丛再向林地演替的过程中,土壤真菌的群落组成随植被变化呈现明显的改变,主要体现在粪壳菌纲(Sordariomycetes)所占比例的减少(由30%减至10%左右)和伞菌纲(Agaricomycetes)所占比例的增加(由5%以下增至20%以上);而细菌的群落组成无明显变化。聚类分析的结果显示,真菌的群落组成变化与植物群落的演替规律更为同步。不同演替阶段的退耕农田土壤真菌和细菌群落均明显区别于未经扰动的天然林,表明人为扰动对土壤微生物群落的影响可能在较长时间内持续存在。研究揭示了云南典型农田退耕后地下土壤真菌和细菌群落随植被演替的变化特征,为全面评价该地区退耕还林的生态效益提供了数据支撑。     

高通量测序技术在线虫多样性研究中的应用

土壤线虫多样性是土壤生态学研究的热点之一, 然而对土壤线虫群落组成及多样性的研究通常受到分类学和方法学的限制。当前, 分子生物学技术的快速发展丰富了我们对土壤线虫多样性的认识, 但也存在一定的局限性。本文综述了常用分子生物学技术如变性梯度凝胶电泳(denaturing gradient gel electrophoresis, DGGE)、末端限制性片段长度多态性分析(terminal restriction fragment length polymorphism, T-RFLP)、实时荧光定量PCR (quantitative real-time PCR, qPCR)和高通量测序(high-throughput sequencing, HTS)技术近年来在线虫多样性研究中的应用, 重点从土壤线虫DNA提取方法、引物和数据库的选择、高通量测序技术和形态学鉴定结果的比较等方面阐述了高通量测序技术在线虫多样性研究中的优势与不足, 并提出选择合适的线虫DNA提取方法结合特定引物和数据库进行注释分析, 仍是今后使用高通量测序技术开展线虫多样性研究的重点。当研究目标是土壤线虫多样性时, 优先推荐富集线虫悬液提取DNA的方法, 因此, 研究人员应根据具体目标选择最优组合开展实验研究。     

古大湖湿地盐碱土壤微生物群落结构及多样性分析

以黑龙江省古大湖湿地原生、林地、耕地及湖岸盐碱土壤微生物为研究对象,基于高通量测序方法,分析4种生境类型条件下土壤细菌和真菌群落结构及多样性。结合土壤理化指标,进一步分析影响微生物群落多样性的环境因子。结果表明:细菌群落中变形菌门的相对丰度值最高,真菌群落中为子囊菌门。同一生境细菌群落多样性具有相似性,而真菌具有一定的差异;不同生境间两者均具有差异。耕地土壤和林地土壤的细菌群落多样性接近,但与湖岸土壤真菌的更相近。前两者中细菌群落多样性较高,其次为原生土壤,而湖岸土壤中的最低。耕地土壤与湖岸土壤真菌群落多样性较高,原生土壤较低,而林地土壤中最低。与真菌相比,细菌的群落多样性受土壤环境因子影响更大,其中pH值、含水量对土壤细菌和真菌群落多样性均具有显著影响。     

乌梁素海富营养化湖泊湖滨湿地过渡带细菌群落结构的高通量分析

摘要:【目的】揭示乌梁素海富营养化湖泊湖滨湿地沉积物与土壤过渡带细菌群落的组成、丰度以及多样性变化,结合土壤理化因子探讨其对细菌群落结构的影响。【方法】采用湿地土壤总DNA提取方法提取沉积物和土壤总DNA,对细菌群落的16S rRNA 基因的V1-V3区进行高通量测序,分析各样品中细菌群落结构的组成、丰度以及多样性指标;土壤理化性质采用标准方法测定,分析其对细菌群落结构的驱动作用。【结果】富营养化湖泊湖滨湿地水陆过渡带的芦苇沼泽沉积物、碱蓬群落盐碱化土壤和白刺群落荒漠化土壤中,细菌群落组成和各类群细菌的相对丰度差异较大,门水平上的细菌类群主要有Proteobacteria、Bacteroidetes、Chloroflexi、Actinobacteria、Planctomycetes和Gemmatimonadetes,细菌群落多样性指数随陆向分布依次在增高,门水平上Proteobacteria和属水平上Sulfurimonas对湖泊退化演化敏感;环境因子最佳子集为总磷、水溶盐总量和铵态氮的组合对整个细菌群落结构的影响最为明显,相关系数最高(R=0.8857),Mantel检验结果表明这种相关关系为显著相关(P=0.037)。【结论】乌梁素海富营养化湖泊湖滨湿地过渡带细菌群落结构差异较大,Sulfurimonas属在乌梁素海富营养化湖泊沉积物的生物地球化学循环中扮演着重要的角色,应在以后的研究中得到更多的关注。     

High-throughput sequencing of 16S rRNA gene amplicons: effects of extraction procedure, primer length and annealing temperature

The analysis of 16S-rDNA sequences to assess the bacterial community composition of a sample is a widely used technique that has increased with the advent of high throughput sequencing. Although considerable effort has been devoted to identifying the most informative region of the 16S gene and the optimal informatics procedures to process the data, little attention has been paid to the PCR step, in particular annealing temperature and primer length. To address this, amplicons derived from 16S-rDNA were generated from chicken caecal content DNA using different annealing temperatures, primers and different DNA extraction procedures. The amplicons were pyrosequenced to determine the optimal protocols for capture of maximum bacterial diversity from a chicken caecal sample. Even at very low annealing temperatures there was little effect on the community structure, although the abundance of some OTUs such as Bifidobacterium increased. Using shorter primers did not reveal any novel OTUs but did change the community profile obtained. Mechanical disruption of the sample by bead beating had a significant effect on the results obtained, as did repeated freezing and thawing. In conclusion, existing primers and standard annealing temperatures captured as much diversity as lower annealing temperatures and shorter primers.     

Influence of Commonly Used Primer Systems on Automated Ribosomal Intergenic Spacer Analysis of Bacterial Communities in Environmental Samples

Due to the high diversity of bacteria in many ecosystems, their slow generation times, specific but mostly unknown nutrient requirements and syntrophic interactions, isolation based approaches in microbial ecology mostly fail to describe microbial community structure. Thus, cultivation independent techniques, which rely on directly extracted nucleic acids from the environment, are a well-used alternative. For example, bacterial automated ribosomal intergenic spacer analysis (B-ARISA) is one of the widely used methods for fingerprinting bacterial communities after PCR-based amplification of selected regions of the operon coding for rRNA genes using community DNA. However, B-ARISA alone does not provide any taxonomic information and the results may be severely biased in relation to the primer set selection. Furthermore, amplified DNA stemming from mitochondrial or chloroplast templates might strongly bias the obtained fingerprints. In this study, we determined the applicability of three different B-ARISA primer sets to the study of bacterial communities. The results from in silico analysis harnessing publicly available sequence databases showed that all three primer sets tested are specific to bacteria but only two primers sets assure high bacterial taxa coverage (1406f/23Sr and ITSF/ITSReub). Considering the study of bacteria in a plant interface, the primer set ITSF/ITSReub was found to amplify (in silico) sequences of some important crop species such as Sorghum bicolor and Zea mays. Bacterial genera and plant species potentially amplified by different primer sets are given. These data were confirmed when DNA extracted from soil and plant samples were analyzed. The presented information could be useful when interpreting existing B-ARISA results and planning B-ARISA experiments, especially when plant DNA can be expected.     

不同扩增引物对高通量测序分析盐角草内生真菌多样性的影响

【背景】高通量测序分析作为深入了解环境微生物群落组成的重要方法,已成为植物内生真菌多样性研究的有效手段,然而由于引物的扩增差异,采用不同引物可对实验结果分析造成影响。同时,盐角草作为世界上最耐盐的植物之一,存在着多种功能性的内生真菌,而较为全面介绍其内生真菌组成和多样性的报道鲜见。【目的】为了揭示盐角草内生真菌的多样性,解析不同扩增引物对内生菌多样性分析的影响。【方法】分别采用真菌高通量测序常用引物对ITS1-5F、ITS1-1F、ITS2对采自乌鲁木齐达坂城盐湖的盐角草内生真菌进行扩增,开展其内生真菌OTU的分析。【结果】通过不同引物对扩增并测序共获得102个盐角草内生真菌OTU,涉及真菌界8个门和未分类菌群,其中子囊菌门(Ascomycota)占绝对优势,其次为担子菌门(Basidiomycota);在属层次上,盐角草内生真菌共涉及64个属及20个未分类属,其中Alternaria、Cladosporium、Podospora等3个属为盐角草内生真菌优势菌群。对不同引物对扩增测序结果分析表明,不同引物对扩增对分析内生真菌OTU数量和种类具有明显的影响,在全部所得的102个OTU中,...     

The Choice of PCR Primers Has Great Impact on Assessments of Bacterial Community Diversity and Dynamics in a Wastewater Treatment Plant

Assessments of bacterial community diversity and dynamics are fundamental for the understanding of microbial ecology as well as biotechnological applications. We show that the choice of PCR primers has great impact on the results of analyses of diversity and dynamics using gene libraries and DNA fingerprinting. Two universal primer pairs targeting the 16S rRNA gene, 27F&1492R and 63F&M1387R, were compared and evaluated by analyzing the bacterial community in the activated sludge of a large-scale wastewater treatment plant. The two primer pairs targeted distinct parts of the bacterial community, none encompassing the other, both with similar richness. Had only one primer pair been used, very different conclusions had been drawn regarding dominant phylogenetic and putative functional groups. With 27F&1492R, Betaproteobacteria would have been determined to be the dominating taxa while 63F&M1387R would have described Alphaproteobacteria as the most common taxa. Microscopy and fluorescence in situ hybridization analysis showed that both Alphaproteobacteria and Betaproteobacteria were abundant in the activated sludge, confirming that the two primer pairs target two different fractions of the bacterial community. Furthermore, terminal restriction fragment polymorphism analyses of a series of four activated sludge samples showed that the two primer pairs would have resulted in different conclusions about community stability and the factors contributing to changes in community composition. In conclusion, different PCR primer pairs, although considered universal, target different ranges of bacteria and will thus show the diversity and dynamics of different fractions of the bacterial community in the analyzed sample. We also show that while a database search can serve as an indicator of how universal a primer pair is, an experimental assessment is necessary to evaluate the suitability for a specific environmental sample.     

The Largest Subunit of RNA Polymerase II as a New Marker Gene to Study Assemblages of Arbuscular Mycorrhizal Fungi in the Field

Due to the potential of arbuscular mycorrhizal fungi (AMF, Glomeromycota) to improve plant growth and soil quality, the influence of agricultural practice on their diversity continues to be an important research question. Up to now studies of community diversity in AMF have exclusively been based on nuclear ribosomal gene regions, which in AMF show high intra-organism polymorphism, seriously complicating interpretation of these data. We designed specific PCR primers for 454 sequencing of a region of the largest subunit of RNA polymerase II gene, and established a new reference dataset comprising all major AMF lineages. This gene is known to be monomorphic within fungal isolates but shows an excellent barcode gap between species. We designed a primer set to amplify all known lineages of AMF and demonstrated its applicability in combination with high-throughput sequencing in a long-term tillage experiment. The PCR primers showed a specificity of 99.94% for glomeromycotan sequences. We found evidence of significant shifts of the AMF communities caused by soil management and showed that tillage effects on different AMF taxa are clearly more complex than previously thought. The high resolving power of high-throughput sequencing highlights the need for quantitative measurements to efficiently detect these effects.     

Biased Diversity Metrics Revealed by Bacterial 16S Pyrotags Derived from Different Primer Sets

In recent years, PCR-based pyrosequencing of 16S rRNA genes has continuously increased our understanding of complex microbial communities in various environments of the Earth. However, there is always concern on the potential biases of diversity determination using different 16S rRNA gene primer sets and covered regions. Here, we first report how bacterial 16S rRNA gene pyrotags derived from a series of different primer sets resulted in the biased diversity metrics. In total, 14 types of pyrotags were obtained from two-end pyrosequencing of 7 amplicon pools generated by 7 primer sets paired by 1 of 4 forward primers (V1F, V3F, V5F, and V7F) and 1 of 4 reverse primers (V2R, V4R, V6R, and V9R), respectively. The results revealed that: i) the activated sludge exhibited a large bacterial diversity that represented a broad range of bacterial populations and served as a good sample in this methodology research; ii) diversity metrics highly depended on the selected primer sets and covered regions; iii) paired pyrotags obtained from two-end pyrosequencing of each short amplicon displayed different diversity metrics; iv) relative abundance analysis indicated the sequencing depth affected the determination of rare bacteria but not abundant bacteria; v) the primer set of V1F and V2R significantly underestimated the diversity of activated sludge; and vi) the primer set of V3F and V4R was highly recommended for future studies due to its advantages over other primer sets. All of these findings highlight the significance of this methodology research and offer a valuable reference for peer researchers working on microbial diversity determination.     

Comparative metagenomic and rRNA microbial diversity characterization using archaeal and bacterial synthetic communities

Next‐generation sequencing has dramatically changed the landscape of microbial ecology, large‐scale and in‐depth diversity studies being now widely accessible. However, determining the accuracy of taxonomic and quantitative inferences and comparing results obtained with different approaches are complicated by incongruence of experimental and computational data types and also by lack of knowledge of the true ecological diversity. Here we used highly diverse bacterial and archaeal synthetic communities assembled from pure genomic DNAs to compare inferences from metagenomic and SSU rRNA amplicon sequencing. Both Illumina and 454 metagenomic data outperformed amplicon sequencing in quantifying the community composition, but the outcome was dependent on analysis parameters and platform. New approaches in processing and classifying amplicons can reconstruct the taxonomic composition of the community with high reproducibility within primer sets, but all tested primers sets lead to significant taxon‐specific biases. Controlled synthetic communities assembled to broadly mimic the phylogenetic richness in target environments can provide important validation for fine‐tuning experimental and computational parameters used to characterize natural communities.