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Microbial bioinformatics

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https://www.readbyqxmd.com/read/28211005/resequencing-and-annotation-of-the-nostoc-punctiforme-attc-29133-genome-facilitating-biofuel-and-high-value-chemical-production
#1
Luis E Moraes, Matthew J Blow, Erik R Hawley, Hailan Piao, Rita Kuo, Jennifer Chiniquy, Nicole Shapiro, Tanja Woyke, James G Fadel, Matthias Hess
Cyanobacteria have the potential to produce bulk and fine chemicals and members belonging to Nostoc sp. have received particular attention due to their relatively fast growth rate and the relative ease with which they can be harvested. Nostoc punctiforme is an aerobic, motile, Gram-negative, filamentous cyanobacterium that has been studied intensively to enhance our understanding of microbial carbon and nitrogen fixation. The genome of the type strain N. punctiforme ATCC 29133 was sequenced in 2001 and the scientific community has used these genome data extensively since then...
December 2017: AMB Express
https://www.readbyqxmd.com/read/28188552/enhanced-biodegradation-of-low-and-high-density-polyethylene-by-novel-bacterial-consortia-formulated-from-plastic-contaminated-cow-dung-under-thermophilic-conditions
#2
Sinosh Skariyachan, Anagha Shamsundar Setlur, Sujay Yashwant Naik, Ashwini Amaresh Naik, Makam Usharani, Kiran S Vasist
The current study aimed to devise eco-friendly, safe, and cost-effective strategies for enhanced degradation of low- and high-density polyethylene (LDPE and HDPE) using newly formulated thermophilic microbial consortia from cow dung and to assess the biodegradation end products. The plastic-degrading bacteria from cow dung samples gathered from highly plastic-acclimated environments were enriched by standard protocols. The degradation ability was comprehended by zone of clearance method, and the percentage of degradation was monitored by weight reduction process...
February 10, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28187415/estimation-of-biomass-composition-from-genomic-and-transcriptomic-information
#3
Sophia Santos, Isabel Rocha
Given the great potential impact of the growing number of complete genome-scale metabolic network reconstructions of microorganisms, bioinformatics tools are needed to simplify and accelerate the course of knowledge in this field. One essential component of a genome-scale metabolic model is its biomass equation, whose maximization is one of the most common objective functions used in Flux Balance Analysis formulations. Some components of biomass, such as amino acids and nucleotides, can be estimated from genome information, providing reliable data without the need of performing lab experiments...
November 27, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28184370/metaproteomics-as-a-complementary-approach-to-gut-microbiota-in-health-and-disease
#4
REVIEW
Bernardo A Petriz, Octávio L Franco
Classic studies on phylotype profiling are limited to the identification of microbial constituents, where information is lacking about the molecular interaction of these bacterial communities with the host genome and the possible outcomes in host biology. A range of OMICs approaches have provided great progress linking the microbiota to health and disease. However, the investigation of this context through proteomic mass spectrometry-based tools is still being improved. Therefore, metaproteomics or community proteogenomics has emerged as a complementary approach to metagenomic data, as a field in proteomics aiming to perform large-scale characterization of proteins from environmental microbiota, such as the human gut...
2017: Frontiers in Chemistry
https://www.readbyqxmd.com/read/28174747/a-disease-associated-microbial-and-metabolomics-state-in-relatives-of-pediatric-inflammatory-bowel-disease-patients
#5
Jonathan P Jacobs, Maryam Goudarzi, Namita Singh, Maomeng Tong, Ian H McHardy, Paul Ruegger, Miro Asadourian, Bo-Hyun Moon, Allyson Ayson, James Borneman, Dermot P B McGovern, Albert J Fornace, Jonathan Braun, Marla Dubinsky
BACKGROUND & AIMS: Microbes may increase susceptibility to inflammatory bowel disease (IBD) by producing bioactive metabolites that affect immune activity and epithelial function. We undertook a family based study to identify microbial and metabolic features of IBD that may represent a predisease risk state when found in healthy first-degree relatives. METHODS: Twenty-one families with pediatric IBD were recruited, comprising 26 Crohn's disease patients in clinical remission, 10 ulcerative colitis patients in clinical remission, and 54 healthy siblings/parents...
November 2016: Cellular and Molecular Gastroenterology and Hepatology
https://www.readbyqxmd.com/read/28174738/microgeographic-proteomic-networks-of-the-human-colonic-mucosa-and-their-association-with-inflammatory-bowel-disease
#6
Xiaoxiao Li, James LeBlanc, David Elashoff, Ian McHardy, Maomeng Tong, Bennett Roth, Andrew Ippoliti, Gildardo Barron, Dermot McGovern, Keely McDonald, Rodney Newberry, Thomas Graeber, Steve Horvath, Lee Goodglick, Jonathan Braun
BACKGROUND & AIMS: Interactions between mucosal cell types, environmental stressors, and intestinal microbiota contribute to pathogenesis in inflammatory bowel disease (IBD). Here, we applied metaproteomics of the mucosal-luminal interface to study the disease-related biology of the human colonic mucosa. METHODS: We recruited a discovery cohort of 51 IBD and non-IBD subjects endoscopically sampled by mucosal lavage at 6 colonic regions, and a validation cohort of 38 no-IBD subjects...
September 2016: Cellular and Molecular Gastroenterology and Hepatology
https://www.readbyqxmd.com/read/28167213/metagenomics-approach-to-the-study-of-the-gut-microbiome-structure-and-function-in-zebrafish-danio-rerio-fed-with-gluten-formulated-diet
#7
Hyunmin Koo, Joseph A Hakim, Mickie L Powell, Ranjit Kumar, Peter G Eipers, Casey D Morrow, Michael Crowley, Elliot J Lefkowitz, Stephen A Watts, Asim K Bej
In this study, we report the gut microbial composition and predictive functional profiles of zebrafish, Danio rerio, fed with a control formulated diet (CFD), and a gluten formulated diet (GFD) using metagenomics approach and bioinformatics tools. The microbial communities of the GFD-fed D. rerio displayed heightened abundances of Legionellales, Rhizobiaceae, and Rhodobacter, as compared to the CFD-fed counterparts. Predicted metagenomics of microbial communities (PICRUSt) in GFD-fed D. rerio showed KEGG functional categories corresponding to bile secretion, secondary bile acid biosynthesis, and the metabolism of glycine, serine, and threonine...
February 3, 2017: Journal of Microbiological Methods
https://www.readbyqxmd.com/read/28140393/archaea-and-bacteria-mediate-the-effects-of-native-species-root-loss-on-fungi-during-plant-invasion
#8
Steven D Mamet, Eric G Lamb, Candace L Piper, Tristrom Winsley, Steven D Siciliano
Although invasive plants can drive ecosystem change, little is known about the directional nature of belowground interactions between invasive plants, native roots, bacteria, archaea and fungi. We used detailed bioinformatics and a recently developed root assay on soils collected in fescue grassland along a gradient of smooth brome (Bromus inermis Leyss) invasion to examine the links between smooth brome shoot litter and root, archaea, bacteria and fungal communities. We examined (1) aboveground versus belowground influences of smooth brome on soil microbial communities, (2) the importance of direct versus microbe-mediated impacts of plants on soil fungal communities, and (3) the web of roots, shoots, archaea, bacteria and fungi interactions across the A and B soil horizons in invaded and non-invaded sites...
January 31, 2017: ISME Journal
https://www.readbyqxmd.com/read/28138347/propelling-the-paradigm-shift-from-reductionism-to-systems-nutrition
#9
EDITORIAL
Jim Kaput, Giuditta Perozzi, Marijana Radonjic, Fabio Virgili
The complex physiology of living organisms represents a challenge for mechanistic understanding of the action of dietary bioactives in the human body and of their possible role in health and disease. Animal, cell, and microbial models have been extensively used to address questions that could not be pursued experimentally in humans, posing an additional level of complexity in translation of the results to healthy and diseased metabolism. The past few decades have witnessed a surge in development of increasingly sensitive molecular techniques and bioinformatic tools for storing, managing, and analyzing increasingly large datasets...
2017: Genes & Nutrition
https://www.readbyqxmd.com/read/28131445/in-vitro-fermentation-of-key-dietary-compounds-with-rumen-fluid-a-genome-centric-perspective
#10
Stefano Campanaro, Laura Treu, Mirko Cattani, Panagiotis G Kougias, Veronica Vendramin, Stefano Schiavon, Franco Tagliapietra, Alessio Giacomini, Viviana Corich
The anaerobic decomposition of organic substrates leads to the generation of gases, such as methane, which can either be a valuable energy carrier in industrial applications or can be considered as a main greenhouse gas when it is naturally emitted. In this study we investigated in vitro the effect of dietary compounds, such as starch and proteins, on the microbial community present in the rumen fluid. High throughput shotgun sequencing, followed by metagenomic assembly and binning allowed the extraction of 18 genome bins...
January 25, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28130242/hierarchical-sets-analyzing-pangenome-structure-through-scalable-set-visualizations
#11
Thomas Lin Pedersen
MOTIVATION: The increase in available microbial genome sequences has resulted in an increase in the size of the pangenomes being analyzed. Current pangenome visualizations are not intended for the pangenome sizes possible today and new approaches are necessary in order to convert the increase in available information to increase in knowledge. As the pangenome data structure is essentially a collection of sets we explore the potential for scalable set visualization as a tool for pangenome analysis...
January 27, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28130240/locust-a-custom-sequence-locus-typer-for-classifying-microbial-isolates
#12
Lauren M Brinkac, Erin Beck, Jason Inman, Pratap Venepally, Derrick E Fouts, Granger Sutton
: LOCUST is a custom sequence locus typer tool for classifying microbial genomes. It provides a fully automated opportunity to customize the classification of genome-wide nucleotide variant data most relevant to biological research. AVAILABILITY: Source code, demo data, and detailed documentation are freely available at http://sourceforge.net/projects/locustyper CONTACT: lbrinkac@jcvi.org or gsutton@jcvi.orgSupplementary information: Supplementary data are available at Bioinformatics online...
January 27, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28128554/discovery-of-c-glycosylpyranonaphthoquinones-in-streptomyces-sp-mbt76-by-a-combined-nmr-based-metabolomics-and-bioinformatics-workflow
#13
Changsheng Wu, Chao Du, Koji Ichinose, Young Hae Choi, Gilles P van Wezel
Mining of microbial genomes has revealed that actinomycetes harbor far more biosynthetic potential for bioactive natural products than anticipated. Activation of (cryptic) biosynthetic gene clusters and identification of the corresponding metabolites has become a focal point for drug discovery. Here, we applied NMR-based metabolomics combined with bioinformatics to identify novel C-glycosylpyranonaphthoquinones in Streptomyces sp. MBT76 and to elucidate the biosynthetic pathway. Following activation of the cryptic qin gene cluster for a type II polyketide synthase (PKS) by constitutive expression of its pathway-specific activator, bioinformatics coupled to NMR profiling facilitated the chromatographic isolation and structural elucidation of qinimycins A-C (1-3)...
January 27, 2017: Journal of Natural Products
https://www.readbyqxmd.com/read/28119518/molecular-beacons-to-identify-gifted-microbes-for-genome-mining
#14
Richard H Baltz
Microbial genome mining is a promising technology that is revitalizing natural product discovery. It is now well documented that many bacteria with large genomes, particularly actinomycetes, encode many more secondary metabolites (SMs) than was previously known from their expressed secondary metabolomes. There are effective bioinformatics tools for counting the numbers and nature of SMs, and determining the total coding capacity from finished microbial genomes. However, these methods do not translate well to draft genomes, particularly for large SM gene clusters that contain nonribosomal peptide synthetase (NRPS) or type I polyketide synthase (PKS-I) mega-genes which are prone to fragmentation and misassembly...
January 25, 2017: Journal of Antibiotics
https://www.readbyqxmd.com/read/28117801/metagenomic-analysis-of-silage
#15
Richard K Tennant, Christine M Sambles, Georgina E Diffey, Karen A Moore, John Love
Metagenomics is defined as the direct analysis of deoxyribonucleic acid (DNA) purified from environmental samples and enables taxonomic identification of the microbial communities present within them. Two main metagenomic approaches exist; sequencing the 16S rRNA gene coding region, which exhibits sufficient variation between taxa for identification, and shotgun sequencing, in which genomes of the organisms that are present in the sample are analyzed and ascribed to "operational taxonomic units"; species, genera or families depending on the extent of sequencing coverage...
January 13, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28112173/metasort-untangles-metagenome-assembly-by-reducing-microbial-community-complexity
#16
Peifeng Ji, Yanming Zhang, Jinfeng Wang, Fangqing Zhao
Most current approaches to analyse metagenomic data rely on reference genomes. Novel microbial communities extend far beyond the coverage of reference databases and de novo metagenome assembly from complex microbial communities remains a great challenge. Here we present a novel experimental and bioinformatic framework, metaSort, for effective construction of bacterial genomes from metagenomic samples. MetaSort provides a sorted mini-metagenome approach based on flow cytometry and single-cell sequencing methodologies, and employs new computational algorithms to efficiently recover high-quality genomes from the sorted mini-metagenome by the complementary of the original metagenome...
January 23, 2017: Nature Communications
https://www.readbyqxmd.com/read/28110145/virusseeker-a-computational-pipeline-for-virus-discovery-and-virome-composition-analysis
#17
Guoyan Zhao, Guang Wu, Efrem S Lim, Lindsay Droit, Siddharth Krishnamurthy, Dan H Barouch, Herbert W Virgin, David Wang
The advent of Next Generation Sequencing (NGS) has vastly increased our ability to discover novel viruses and to systematically define the spectrum of viruses present in a given specimen. Such studies have led to the discovery of novel viral pathogens as well as broader associations of the virome with diverse diseases including inflammatory bowel disease, severe acute malnutrition and HIV/AIDS. Critical to the success of these efforts are robust bioinformatic pipelines for rapid classification of microbial sequences...
January 18, 2017: Virology
https://www.readbyqxmd.com/read/28101269/metagenomic-approaches-to-identify-novel-organisms-from-the-soil-environment-in-a-classroom-setting
#18
Sadia J Rahman, Trevor C Charles, Parjit Kaur
Molecular Microbial Metagenomics is a research-based undergraduate course developed at Georgia State University. This semester-long course provides hands-on research experience in the area of microbial diversity and introduces molecular approaches to study diversity. Students are part of an ongoing research project that uses metagenomic approaches to isolate clones containing 16S ribosomal ribonucleic acid (rRNA) genes from a soil metagenomic library. These approaches not only provide a measure of microbial diversity in the sample but may also allow discovery of novel organisms...
December 2016: Journal of Microbiology & Biology Education: JMBE
https://www.readbyqxmd.com/read/28092471/genomics-pipelines-and-data-integration-challenges-and-opportunities-in-the-research-setting
#19
Jeremy Davis-Turak, Sean M Courtney, E Starr Hazard, W Bailey Glen, Willian da Silveira, Timothy Wesselman, Larry P Harbin, Bethany J Wolf, Dongjun Chung, Gary Hardiman
The emergence and mass utilization of high-throughput (HT) technologies, including sequencing technologies (genomics) and mass spectrometry (proteomics, metabolomics, lipids), has allowed geneticists, biologists, and biostatisticians to bridge the gap between genotype and phenotype on a massive scale. These new technologies have brought rapid advances in our understanding of cell biology, evolutionary history, microbial environments, and are increasingly providing new insights and applications towards clinical care and personalized medicine...
January 16, 2017: Expert Review of Molecular Diagnostics
https://www.readbyqxmd.com/read/28066818/microbiome-helper-a-custom-and-streamlined-workflow-for-microbiome-research
#20
André M Comeau, Gavin M Douglas, Morgan G I Langille
Sequence-based approaches to study microbiomes, such as 16S rRNA gene sequencing and metagenomics, are uncovering associations between microbial taxa and a myriad of factors. A drawback of these approaches is that the necessary sequencing library preparation and bioinformatic analyses are complicated and continuously changing, which can be a barrier for researchers new to the field. We present three essential components to conducting a microbiome experiment from start to finish: first, a simplified and step-by-step custom gene sequencing protocol that requires limited lab equipment, is cost-effective, and has been thoroughly tested and utilized on various sample types; second, a series of scripts to integrate various commonly used bioinformatic tools that is available as a standalone installation or as a single downloadable virtual image; and third, a set of bioinformatic workflows and tutorials to provide step-by-step guidance and education for those new to the microbiome field...
January 2017: MSystems
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