mRNA-targeted fluorescent in situ hybridization (FISH) of Gram-negative bacteria without template amplification or tyramide signal amplification

Technologies are needed to study gene expression at the level of individual cells within a population or microbial community. Fluorescent in situ hybridization (FISH) supplies high-resolution spatial information and has been widely applied to study microbial communities at the rRNA level. While mRNA-targeted FISH has been popular for studying gene expression in eukaryotic cells, very little success has been achieved with prokaryotes. At present, detection of specific mRNAs in individual prokaryotic cells requires the use of in situ RT-PCR or tyramide signal amplification (TSA). In this study we used DNA oligonucleotide probes labeled with a single near-infrared dye in FISH assays to detect multi-copy plasmid-based and endogenous mRNA molecules in Escherichia coli and Shewanella oneidensis MR-1. We took advantage of the fact that there is much less background signal produced by biological materials and support matrices in the near-infrared spectrum and thus long camera exposure times could be used. In addition, we demonstrate that a combination of probes targeting both rRNA and mRNA could be successfully employed within the same FISH assay. These results, as well as ongoing R&D improvements in NIR and infrared dyes, indicate that the FISH approach we demonstrated could be applied in certain environmental settings to monitor gene expression in mixed populations.     

An eco-informatics tool for microbial community studies: supervised classification of Amplicon Length Heterogeneity (ALH) profiles of 16S rRNA

Support vector machines (SVM) and K-nearest neighbors (KNN) are two computational machine learning tools that perform supervised classification. This paper presents a novel application of such supervised analytical tools for microbial community profiling and to distinguish patterning among ecosystems. Amplicon length heterogeneity (ALH) profiles from several hypervariable regions of 16S rRNA gene of eubacterial communities from Idaho agricultural soil samples and from Chesapeake Bay marsh sediments were separately analyzed. The profiles from all available hypervariable regions were concatenated to obtain a combined profile, which was then provided to the SVM and KNN classifiers. Each profile was labeled with information about the location or time of its sampling. We hypothesized that after a learning phase using feature vectors from labeled ALH profiles, both these classifiers would have the capacity to predict the labels of previously unseen samples. The resulting classifiers were able to predict the labels of the Idaho soil samples with high accuracy. The classifiers were less accurate for the classification of the Chesapeake Bay sediments suggesting greater similarity within the Bay's microbial community patterns in the sampled sites. The profiles obtained from the V1+V2 region were more informative than that obtained from any other single region. However, combining them with profiles from the V1 region (with or without the profiles from the V3 region) resulted in the most accurate classification of the samples. The addition of profiles from the V 9 region appeared to confound the classifiers. Our results show that SVM and KNN classifiers can be effectively applied to distinguish between eubacterial community patterns from different ecosystems based only on their ALH profiles.     

Spatial heterogeneity in sediment-associated bacterial and eukaryotic communities in a landfill leachate-contaminated aquifer

Heterogeneity in eukaryotic and bacteria community structure in surface and subsurface sediment samples downgradient of the Banisveld landfill (The Netherlands) was studied using a culturing-independent molecular approach. Along a transect covering the part of the aquifer most polluted by landfill leachate, sediment was sampled at 1-m depth intervals, until a depth of 5.5 m, at four distances from the landfill. Two drillings were placed in a nearby clean area as a reference. Denaturing gradient gel electrophoresis banding patterns revealed high bacterial and eukaryotic diversity and complex community structures. Bacteria and eukaryotic community profiles in polluted samples grouped different from those in clean samples. Bacteria community profiles in surface samples clustered together and separately from subsurface community profiles. Subsurface bacteria profiles clustered in a location-specific manner. Eukaryotic community structure did not significantly relate to distance from the landfill or depth. No significant spatial autocorrelation of bacteria or eukaryotic communities was observed over 1-m depth intervals per sampling location. Spatial heterogeneity in sediment-associated bacterial communities appears to be much larger than in groundwater. We discuss how on the one hand, spatial heterogeneity may complicate the assessment of microbial community structure and functioning, while on the other it may provide better opportunities for natural attenuation.     

用ERIC-PCR结合分子杂交监测焦化废水处理系统(A2/O)中微生物群落结构的变化

建立一种不依赖纯培养 ,可以在废水处理工业现场使用的监测微生物群落结构变化的分子技术。以处理焦化工业废水(A2 /O生物膜工艺 )不同构筑物中的悬浮污泥的微生物群落为研究对象 ,每周采样 1次 ,连续 4周。获得悬浮污泥总 DNA的ERIC- PCR指纹图谱 ,结合分子杂交进一步区分相同条带间的不同序列信息。结果表明 ,在缺氧池 (A2池 )和好氧池 (O池 )之间 ,各个采样点的 ERIC- PCR图谱差异不大 ,悬浮污泥在各构筑物之间交流充分 ;同一采样点的图谱在不同采样时期具有明显差异 ,显示了在此期间微生物群落的连续动态变化过程。通过对生物膜系统中悬浮污泥的微生物群落结构的指纹图谱分析 ,可开发出对该系统微生物群落结构动态变化进行检测的技术     

人激活转录因子5基因真核表达载体的构建及其生物学功能研究简

目的：构建带myc标签的人激活转录因子5（ATF5）的真核表达载体,获得myc-ATF5融合蛋白,并对其生物学功能进行初步检测。方法：以本实验室保存的带有XL5标签的ATF5质粒为模板,采用PCR技术扩增ATF5编码序列,将其插入pXJ-40-myc载体中,Western印迹检测其表达;将重组质粒与空载体分别转染人胚肾293T细胞,通过Western印迹和qRT-PCR检测其下游基因哺乳动物雷帕霉素靶蛋白（mTOR）在蛋白和mRNA水平的变化。结果：双酶切和测序结果表明myc-ATF5真核表达质粒构建成功,转染293T细胞后获得表达;Western印迹和qRT-PCR证明myc-ATF5可升高roTOR的转录和蛋白水平。结论：构建了带myc标签的人ATF5真核表达载体,为进一步研究ATF5在自噬中的功能奠定了基础。     

REVEALING GENETIC DIVERSITY OF EUKARYOTIC MICROORGANISMS IN AQUATIC ENVIRONMENTS BY DENATURING GRADIENT GEL ELECTROPHORESIS

A new Eucarya-specific 18S rDNA primer set was constructed and tested using denaturing gradient gel electrophoresis to analyze the genetic diversity of eukaryotic microorganisms in aquatic environments. All eukaryal lines of descent exhibited four or fewer nucleotide mismatches in the forward primer sequence, except for the Microspora line of descent. The reverse primer annealed to a more conserved region with fewer than two nucleotide mismatches. Genomic DNA from test organisms with different numbers of nucleotide mismatches were amplified to test primer specificity. Relatively low annealing temperatures allowed the amplification of sequences with up to four nucleotide mismatches while still maintaining specificity for the eukaryal domain. Denaturing gradient gel electrophoresis was used to separate similarly sized PCR products of environmental samples, and the obtained banding patterns were converted to a binary format for statistical comparisons. Cluster analysis of these patterns showed similar results to a cluster analysis based on environmental variables. This approach provides an analytical tool to study the population structure and molecular ecology of eukaryotic microbial communities inhabiting aquatic environments.     

Buccal Swabbing as a Noninvasive Method To Determine Bacterial,Archaeal, and Eukaryotic Microbial Community Structures in the Rumen

Analysis of rumen microbial community structure based on small-subunit rRNA marker genes in metagenomic DNA samples provides important insights into the dominant taxa present in the rumen and allows assessment of community differences between individuals or in response to treatments applied to ruminants. However, natural animal-to-animal variation in rumen microbial community composition can limit the power of a study considerably, especially when only subtle differences are expected between treatment groups. Thus, trials with large numbers of animals may be necessary to overcome this variation. Because ruminants pass large amounts of rumen material to their oral cavities when they chew their cud, oral samples may contain good representations of the rumen microbiota and be useful in lieu of rumen samples to study rumen microbial communities. We compared bacterial, archaeal, and eukaryotic community structures in DNAs extracted from buccal swabs to those in DNAs from samples collected directly from the rumen by use of a stomach tube for sheep on four different diets. After bioinformatic depletion of potential oral taxa from libraries of samples collected via buccal swabs, bacterial communities showed significant clustering by diet (R = 0.37; analysis of similarity [ANOSIM]) rather than by sampling method (R = 0.07). Archaeal, ciliate protozoal, and anaerobic fungal communities also showed significant clustering by diet rather than by sampling method, even without adjustment for potentially orally associated microorganisms. These findings indicate that buccal swabs may in future allow quick and noninvasive sampling for analysis of rumen microbial communities in large numbers of ruminants.     

Seasonal changes in bacterial and archaeal gene expression patterns across salinity gradients in the Columbia River coastal margin

Through their metabolic activities, microbial populations mediate the impact of high gradient regions on ecological function and productivity of the highly dynamic Columbia River coastal margin (CRCM). A 2226-probe oligonucleotide DNA microarray was developed to investigate expression patterns for microbial genes involved in nitrogen and carbon metabolism in the CRCM. Initial experiments with the environmental microarrays were directed toward validation of the platform and yielded high reproducibility in multiple tests. Bioinformatic and experimental validation also indicated that >85% of the microarray probes were specific for their corresponding target genes and for a few homologs within the same microbial family. The validated probe set was used to query gene expression responses by microbial assemblages to environmental variability. Sixty-four samples from the river, estuary, plume, and adjacent ocean were collected in different seasons and analyzed to correlate the measured variability in chemical, physical and biological water parameters to differences in global gene expression profiles. The method produced robust seasonal profiles corresponding to pre-freshet spring (April) and late summer (August). Overall relative gene expression was high in both seasons and was consistent with high microbial abundance measured by total RNA, heterotrophic bacterial production, and chlorophyll a. Both seasonal patterns involved large numbers of genes that were highly expressed relative to background, yet each produced very different gene expression profiles. April patterns revealed high differential gene expression in the coastal margin samples (estuary, plume and adjacent ocean) relative to freshwater, while little differential gene expression was observed along the river-to-ocean transition in August. Microbial gene expression profiles appeared to relate, in part, to seasonal differences in nutrient availability and potential resource competition. Furthermore, our results suggest that highly-active particle-attached microbiota in the Columbia River water column may perform dissimilatory nitrate reduction (both dentrification and DNRA) within anoxic particle microniches.     

Multi-target Chromogenic Whole-mount In Situ Hybridization for Comparing Gene Expression Domains in Drosophila Embryos

To analyze gene regulatory networks active during embryonic development and organogenesis it is essential to precisely define how the different genes are expressed in spatial relation to each other in situ. Multi-target chromogenic whole-mount in situ hybridization (MC-WISH) greatly facilitates the instant comparison of gene expression patterns, as it allows distinctive visualization of different mRNA species in contrasting colors in the same sample specimen. This provides the possibility to relate gene expression domains topographically to each other with high accuracy and to define unique and overlapping expression sites. In the presented protocol, we describe a MC-WISH procedure for comparing mRNA expression patterns of different genes in Drosophila embryos. Up to three RNA probes, each specific for another gene and labeled by a different hapten, are simultaneously hybridized to the embryo samples and subsequently detected by alkaline phosphatase-based colorimetric immunohistochemistry. The described procedure is detailed here for Drosophila, but works equally well with zebrafish embryos.     

人Six1基因真核表达载体的构建及其生物学功能研究简

目的：构建带myc标签的Sixl基因的真核表达载体,获得myc-Sixl融合蛋白,并对其生物学功能进行初步检测。方法：以本实验室保存的乳腺文库为模板,采用PCR技术扩增Sixl编码序列,将其插入pXJ-40-myc载体,West-ern印迹检测其在人293T细胞中的表达;将重组质粒-9空载体分别转染乳腺癌细胞ZR75-1,通过qRT-PCR检测细胞中VEGF-C在mRNA水平的变化。结果：双酶切和测序结果表明myc-Six1真核表达质粒构建成功;Western印迹证明转染293T细胞后成功表达;qRT—PCR结果表明myc-Sixl可升高乳腺癌细胞ZR75-1的VEGF-C转录水平。结论：构建了带myc标签的Six1表达载体,为进一步研究Six1在乳腺癌转移中的作用奠定了基础。     

Design and Experimental Application of a Novel Non-Degenerate Universal Primer Set that Amplifies Prokaryotic 16S rRNA Genes with a Low Possibility to Amplify Eukaryotic rRNA Genes

The deep sequencing of 16S rRNA genes amplified by universal primers has revolutionized our understanding of microbial communities by allowing the characterization of the diversity of the uncultured majority. However, some universal primers also amplify eukaryotic rRNA genes, leading to a decrease in the efficiency of sequencing of prokaryotic 16S rRNA genes with possible mischaracterization of the diversity in the microbial community. In this study, we compared 16S rRNA gene sequences from genome-sequenced strains and identified candidates for non-degenerate universal primers that could be used for the amplification of prokaryotic 16S rRNA genes. The 50 identified candidates were investigated to calculate their coverage for prokaryotic and eukaryotic rRNA genes, including those from uncultured taxa and eukaryotic organelles, and a novel universal primer set, 342F-806R, covering many prokaryotic, but not eukaryotic, rRNA genes was identified. This primer set was validated by the amplification of 16S rRNA genes from a soil metagenomic sample and subsequent pyrosequencing using the Roche 454 platform. The same sample was also used for pyrosequencing of the amplicons by employing a commonly used primer set, 338F-533R, and for shotgun metagenomic sequencing using the Illumina platform. Our comparison of the taxonomic compositions inferred by the three sequencing experiments indicated that the non-degenerate 342F-806R primer set can characterize the taxonomic composition of the microbial community without substantial bias, and is highly expected to be applicable to the analysis of a wide variety of microbial communities.     

Application of cDNA arrays to monitor mRNA profiles in single preimplantation mouse embryos

Array technology is a widely used tool for gene expression profiling in various biological systems. However, the application of this method to mammalian preimplantation embryos is limited by the small amount of mRNA that can be extracted from a single embryo, which is not sufficient for array analysis. Here we report a protocolfor the rapid global amplification of embryonic mRNA that permits the generation of expression profiles from single murine blastocysts. The approach combines global PCR and 77 RNA polymerase amplification and allows the preparation of labeled, amplified RNA for array hybridization from single murine blastocysts containing approximately 1.5 pg mRNA in less than 12 h. We demonstrate that this amplification procedure is highly reproducible and does not bias original relative mRNA levels. Signal patterns from various embryonic stages of murine development revealed marked differences in mRNA expression that were in accordance with previously published data. We found genes known to be involved in embryonic apoptosis expressed at different levels in individual murine day 3.5 blastocysts. This technique can thus be used to assess embryonic viability and investigate molecular mechanisms of embryonic development.     

Patterns in the Composition of Microbial Communities from a Subtropical River: Effects of Environmental,Spatial and Temporal Factors

Microbes are key components of aquatic ecosystems and play crucial roles in global biogeochemical cycles. However, the spatiotemporal dynamics of planktonic microbial community composition in riverine ecosystems are still poorly understood. In this study, we used denaturing gradient gel electrophoresis of PCR-amplified 16S and 18S rRNA gene fragments and multivariate statistical methods to explore the spatiotemporal patterns and driving factors of planktonic bacterial and microbial eukaryotic communities in the subtropical Jiulong River, southeast China. Both bacterial and microbial eukaryotic communities varied significantly in time and were spatially structured according to upper stream, middle-lower stream and estuary. Among all the environmental factors measured, water temperature, conductivity, PO₄-P and TN/TP were best related to the spatiotemporal distribution of bacterial community, while water temperature, conductivity, NO_x-N and transparency were closest related to the variation of eukaryotic community. Variation partitioning, based on partial RDA, revealed that environmental factors played the most important roles in structuring the microbial assemblages by explaining 11.3% of bacterial variation and 17.5% of eukaryotic variation. However, pure spatial factors (6.5% for bacteria and 9.6% for eukaryotes) and temporal factors (3.3% for bacteria and 5.5% for eukaryotes) also explained some variation in microbial distribution, thus inherent spatial and temporal variation of microbial assemblages should be considered when assessing the impact of environmental factors on microbial communities.