scholarly journals Comparison of Ileum Microflora of Pigs Fed Corn-, Wheat-, or Barley-Based Diets by Chaperonin-60 Sequencing and Quantitative PCR

2005 ◽  
Vol 71 (2) ◽  
pp. 867-875 ◽  
Author(s):  
Janet E. Hill ◽  
Sean M. Hemmingsen ◽  
Blair G. Goldade ◽  
Tim J. Dumonceaux ◽  
Jonathan Klassen ◽  
...  
Keyword(s):  
Quantitative Pcr ◽  
High Throughput Sequencing ◽  
Pcr Analysis ◽  
Reference Database ◽  
Pcr Product ◽  
Culture Independent ◽  
Chaperonin 60 ◽  
Small Intestinal ◽  
Primer Sets ◽  
Taxonomic Assignments

ABSTRACT We have combined the culture-independent methods of high-throughput sequencing of chaperonin-60 PCR product libraries and quantitative PCR to profile and quantify the small-intestinal microflora of pigs fed diets based on corn, wheat, or barley. A total of 2,751 chaperonin-60 PCR product clones produced from samples of ileum digesta were examined. The majority (81%) of these clones contained sequences independently recovered from all three libraries; 372 different nucleotide sequences were identified, but only 14% of the 372 different sequences were recovered from all three libraries. Taxonomic assignments of the library sequences were made by comparison to a reference database of chaperonin-60 sequences combined with phylogenetic analysis. The taxa identified are consistent with previous reports of pig ileum microflora. Frequencies of each sequence in each library were calculated to identify taxa that varied in frequency between the corn, barley, and wheat libraries. The chaperonin-60 sequence inventory was used as a basis for designing PCR primer sets for taxon-specific quantitative PCR. Results of quantitative PCR analysis of ileum digesta confirmed the relative abundances of targeted taxa identified with the library sequencing approach. The results of this study indicate that chaperonin-60 clone libraries can be valid profiles of complex microbial communities and can be used as the basis for producing quantitative PCR assays to measure the abundance of taxa of interest during experimentally induced or natural changes in a community.

scholarly journals TaxMapper: An Analysis Tool, Reference Database and Workow for Metatranscriptome Analysis of Eukaryotic Microorganisms

2017 ◽  
Author(s):  
Daniela Beisser ◽  
Nadine Graupner ◽  
Lars Grossmann ◽  
Henning Timm ◽  
Jens Boenigk ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Environmental Data ◽  
Superior Performance ◽  
Reference Database ◽  
Analysis Tool ◽  
Multivariate Statistical ◽  
Sequencing Project ◽  
Link Type ◽  
Eukaryotic Microorganisms ◽  
Taxonomic Assignments

AbstractBackgroundHigh-throughput sequencing (HTS) technologies are increasingly applied to analyse complex microbial ecosystems by mRNA sequencing of whole communities, also known as metatranscriptome sequencing. This approach is at the moment largely limited to prokaryotic communities and communities of few eukaryotic species with sequenced genomes. For eukaryotes the analysis is hindered mainly by a low and fragmented coverage of the reference databases to infer the community composition, but also by lack of automated workflows for the task.ResultsFrom the databases of the National Center for Biotechnology Information and Marine Microbial Eukaryote Transcriptome Sequencing Project, 142 references were selected in such a way that the taxa represent the main lineages within each of the seven supergroups of eukaryotes and possess predominantly complete transcriptomes or genomes. From these references, we created an annotated microeukaryotic reference database. We developed a tool called TaxMapper for a reliably mapping of sequencing reads against this database and filtering of unreliable assignments. For filtering, a classifier was trained and tested on sequences in the database, sequences of related taxa to those in the database and randomly generated sequences. Additionally, TaxMapper is part of a metatranscriptomic Snakemake workflow developed to perform quality assessment, functional and taxonomic annotation and (multivariate) statistical analysis including environmental data. The workflow is provided and described in detail to empower researchers to easily apply it for metatranscriptome analysis of any environmental sample.ConclusionsTaxMapper shows superior performance compared to standard approaches, resulting in a higher number of true positive taxonomic assignments. Both the TaxMapper tool and the workflow are available as open-source code at Bitbucket under the MIT license: https://bitbucket.org/dbeisser/taxmapper and as a Bioconda package: https://bioconda.github.io/recipes/taxmapper/README.html.

scholarly journals Assessing Genotypic and Environmental Effects on Endophyte Communities of Fraxinus (Ash) Using Culture Dependent and Independent DNA Sequencing

2021 ◽  
Vol 7 (7) ◽  
pp. 565
Author(s):  
Anindita Lahiri ◽  
Brian R. Murphy ◽  
Trevor R. Hodkinson
Keyword(s):  
Community Composition ◽  
Environmental Effects ◽  
High Throughput Sequencing ◽  
Fungal Community Composition ◽  
Species Identity ◽  
Ash Dieback ◽  
Hymenoscyphus Fraxineus ◽  
Culture Independent ◽  
The Impact ◽  
Culture Dependent

Fraxinus excelsior populations are in decline due to the ash dieback disease Hymenoscyphus fraxineus. It is important to understand genotypic and environmental effects on its fungal microbiome to develop disease management strategies. To do this, we used culture dependent and culture independent approaches to characterize endophyte material from contrasting ash provenances, environments, and tissues (leaves, roots, seeds). Endophytes were isolated and identified using nrITS, LSU, or tef DNA loci in the culture dependent assessments, which were mostly Ascomycota and assigned to 37 families. Few taxa were shared between roots and leaves. The culture independent approach used high throughput sequencing (HTS) of nrITS amplicons directly from plant DNA and detected 35 families. Large differences were found in OTU diversity and community composition estimated by the contrasting approaches and these data need to be combined for estimations of the core endophyte communities. Species richness and Shannon index values were highest for the leaf material and the French population. Few species were shared between seed and leaf tissue. PCoA and NMDS of the HTS data showed that seed and leaf microbiome communities were highly distinct and that there was a strong influence of Fraxinus species identity on their fungal community composition. The results will facilitate a better understanding of ash fungal ecology and are a step toward identifying microbial biocontrol systems to minimize the impact of the disease.

scholarly journals Recommended Reference Genes for Quantitative PCR Analysis in Soybean Have Variable Stabilities during Diverse Biotic Stresses

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134890 ◽  
Author(s):  
Raman Bansal ◽  
Priyanka Mittapelly ◽  
Bryan J. Cassone ◽  
Praveen Mamidala ◽  
Margaret G. Redinbaugh ◽  
...  
Keyword(s):  
Quantitative Pcr ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Biotic Stresses

scholarly journals Selection of Valid Reference Genes for Reverse Transcription Quantitative PCR Analysis inHeliconius numata(Lepidoptera: Nymphalidae)

2016 ◽  
Vol 16 (1) ◽  
pp. 50 ◽  
Author(s):  
Florence Piron Prunier ◽  
Mathieu Chouteau ◽  
Annabel Whibley ◽  
Mathieu Joron ◽  
Violaine Llaurens
Keyword(s):  
Quantitative Pcr ◽  
Reverse Transcription ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Reverse Transcription Quantitative Pcr ◽  
Selection Of

scholarly journals A Strategy to Find Suitable Reference Genes for miRNA Quantitative PCR Analysis and Its Application to Cervical Specimens

2017 ◽  
Vol 19 (5) ◽  
pp. 625-637 ◽  
Author(s):  
Iris Babion ◽  
Barbara C. Snoek ◽  
Mark A. van de Wiel ◽  
Saskia M. Wilting ◽  
Renske D.M. Steenbergen
Keyword(s):  
Quantitative Pcr ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Suitable Reference

scholarly journals Suitability of different tissue fixatives for subsequent PCR analysis of Cysticercus ovis

2012 ◽  
Vol 49 (2) ◽  
pp. 67-70 ◽  
Author(s):  
M. Kolesárová ◽  
R. Herich ◽  
M. Levkut ◽  
J. Čurlík ◽  
M. Levkut
Keyword(s):  
Retrospective Studies ◽  
Pcr Amplification ◽  
Pcr Analysis ◽  
Chain Reaction ◽  
Fresh Tissue ◽  
Carnoy’S Solution ◽  
Negative Results ◽  
Pcr Product ◽  
Polymerase Chain ◽  
Cysticercus Ovis

AbstractPCR amplification of specific DNA regions is a powerful tool for retrospective studies, but not all preservation or fixation methods render DNA that is suitable for subsequent amplification. Several factors affect sensitivity of polymerase chain reaction (PCR) amplification. There were reported the effects of commonly used fixation solutions — 10 % neutral buffered formalin, 20 % neutral buffered formalin and Carnoy’s solution and the efficiency of PCR amplification in fresh tissue and paraffin (or wax) embedded samples of Cysticercus ovis. DNA from samples was isolated and PCR product of 1300 bp was amplified. Results indicated that the samples fixed in Carnoy’s solution produced reliable amplification of desired fragments. The samples that were fixed in 10 % and 20 % neutral buffered formalin brought negative results.

scholarly journals Bioconductor workflow for microbiome data analysis: from raw reads to community analyses

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 1492 ◽  
Author(s):  
Ben J. Callahan ◽  
Kris Sankaran ◽  
Julia A. Fukuyama ◽  
Paul J. McMurdie ◽  
Susan P. Holmes
Keyword(s):  
High Throughput Sequencing ◽  
Linear Models ◽  
Reference Database ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Nonparametric Testing ◽  
Abundance Estimates ◽  
Taxonomic Markers ◽  
Microbiome Data ◽  
Microbiome Data Analysis

High-throughput sequencing of PCR-amplified taxonomic markers (like the 16S rRNA gene) has enabled a new level of analysis of complex bacterial communities known as microbiomes. Many tools exist to quantify and compare abundance levels or microbial composition of communities in different conditions. The sequencing reads have to be denoised and assigned to the closest taxa from a reference database. Common approaches use a notion of 97% similarity and normalize the data by subsampling to equalize library sizes. In this paper, we show that statistical models allow more accurate abundance estimates. By providing a complete workflow in R, we enable the user to do sophisticated downstream statistical analyses, including both parameteric and nonparametric methods. We provide examples of using the R packages dada2, phyloseq, DESeq2, ggplot2 and vegan to filter, visualize and test microbiome data. We also provide examples of supervised analyses using random forests, partial least squares and linear models as well as nonparametric testing using community networks and the ggnetwork package.

scholarly journals Key Regulatory Pathways, MicroRNAs, and Target Genes Participate in Adventitious Root Formation of Acer Rubrum L

2021 ◽  
Author(s):  
Wenpeng Zhu ◽  
Manyu Zhang ◽  
Jianyi Li ◽  
Hewen Zhao ◽  
Kezhong Zhang ◽  
...  
Keyword(s):  
Transcriptional Activation ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Seedling Survival ◽  
Expression Patterns ◽  
Economic Value ◽  
Acer Rubrum ◽  
Pcr Analysis ◽  
Asexual Propagation ◽  
Regulatory Pathways

Abstract BackgroundAcer rubrum L. is a colorful ornamental tree with great economic value. Because this tree is difficult to root under natural conditions and the seedling survival rate is low, vegetative propagation methods are often used. Because the formation of adventitious roots (ARs) is essential for the survival of asexual propagation of A. rubrum, it is necessary to investigate the molecular regulatory mechanisms in the formation of ARs of A. ruburm. To address this knowledge gap, we sequenced the transcriptome and sRNA of the A. rubrum variety ‘Autumn Fantasy’ using high-throughput sequencing and explored changes in gene and microRNA (miRNA) expression in response to exogenous auxin treatment. ResultsWe identified 82,468 differentially expressed genes between the treated and untreated ARs, as well as 48 known and 95 novel miRNAs. We also identified 172 target genes of the known miRNAs using degradome sequencing. Two regulatory pathways (ubiquitin mediated proteolysis and plant hormone signal transduction), Ar-miR160a and the target gene ArARF10 were shown to be involved in the auxin response. We further investigated the expression patterns and regulatory roles of ArARF10 through subcellular localization, transcriptional activation, plant transformation, qRT-PCR analysis, and GUS staining. ConclusionsDifferential expression patterns indicated the Ar-miR160a-ArARF10 interaction might play a significant role in the regulation of AR formation in A. rubrum. Our study provided new insights into mechanisms underlying the regulation of AR formation in A. rubrum.

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