Metagenomic Data Assembly – The Way of Decoding Unknown Microorganisms DOI Creative Commons
Alla Lapidus, Anton Korobeynikov

Frontiers in Microbiology, Год журнала: 2021, Номер 12

Опубликована: Март 23, 2021

Metagenomics is a segment of conventional microbial genomics dedicated to the sequencing and analysis combined genomic DNA entire environmental samples. The most critical step metagenomic data reconstruction individual genes genomes microorganisms in communities using assemblers – computational programs that put together small fragments sequenced generated by instruments. Here, we describe challenges assembly, wide spectrum applications which assemblies were used better understand ecology evolution ecosystems, present one efficient assemblers, SPAdes was upgraded become applicable for metagenomics.

Язык: Английский

Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infection DOI
Themoula Charalampous, Gemma L. Kay,

Hollian Richardson

и другие.

Nature Biotechnology, Год журнала: 2019, Номер 37(7), С. 783 - 792

Опубликована: Июнь 24, 2019

Язык: Английский

Процитировано

543

Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids DOI
Wei Gu, Xianding Deng, Marco Lee

и другие.

Nature Medicine, Год журнала: 2020, Номер 27(1), С. 115 - 124

Опубликована: Ноя. 9, 2020

Язык: Английский

Процитировано

478

Benchmarking Metagenomics Tools for Taxonomic Classification DOI Creative Commons

Simon H. Ye,

Katherine J. Siddle, Daniel J. Park

и другие.

Cell, Год журнала: 2019, Номер 178(4), С. 779 - 794

Опубликована: Авг. 1, 2019

Язык: Английский

Процитировано

463

Pneumonia DOI Open Access
Antoní Torres, Catia Cillóniz, Michael S. Niederman

и другие.

Nature Reviews Disease Primers, Год журнала: 2021, Номер 7(1)

Опубликована: Апрель 8, 2021

Язык: Английский

Процитировано

455

Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota DOI Creative Commons
Francesco Durazzi, Claudia Sala, Gastone Castellani

и другие.

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Фев. 4, 2021

Abstract In this paper we compared taxonomic results obtained by metataxonomics (16S rRNA gene sequencing) and metagenomics (whole shotgun metagenomic to investigate their reliability for bacteria profiling, studying the chicken gut as a model system. The experimental conditions included two compartments of gastrointestinal tracts sampling times. We relative abundance distributions with sequencing strategies then tested capability distinguish conditions. showed that 16S detects only part microbiota community revealed sequencing. Specifically, when sufficient number reads is available, Shotgun has more power identify less abundant taxa than Finally, genera detected are biologically meaningful, being able discriminate between much both strategies.

Язык: Английский

Процитировано

362

Bloodstream infections in critically ill patients: an expert statement DOI Open Access
Jean‐François Timsit, Étienne Ruppé, François Barbier

и другие.

Intensive Care Medicine, Год журнала: 2020, Номер 46(2), С. 266 - 284

Опубликована: Фев. 1, 2020

Язык: Английский

Процитировано

291

Genomic surveillance reveals multiple introductions of SARS-CoV-2 into Northern California DOI Creative Commons
Xianding Deng, Wei Gu, Scot Federman

и другие.

Science, Год журнала: 2020, Номер 369(6503), С. 582 - 587

Опубликована: Июнь 8, 2020

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome 2 (SARS-CoV-2) has spread globally, with >365,000 cases in California as of 17 July 2020. We investigated the genomic epidemiology SARS-CoV-2 Northern from late January to mid-March 2020, using samples 36 patients spanning nine counties and Grand Princess cruise ship. Phylogenetic analyses revealed cryptic introduction at least seven different lineages into California, including epidemic WA1 strains associated Washington state, lack a predominant lineage limited transmission among communities. Lineages outbreak clusters two were defined single base substitution viral genome. These findings support contact tracing, social distancing, travel restrictions contain other states.

Язык: Английский

Процитировано

289

Innovative and rapid antimicrobial susceptibility testing systems DOI
Alex van Belkum, Carey‐Ann D. Burnham, John W. A. Rossen

и другие.

Nature Reviews Microbiology, Год журнала: 2020, Номер 18(5), С. 299 - 311

Опубликована: Фев. 13, 2020

Язык: Английский

Процитировано

273

Next-generation sequencing: insights to advance clinical investigations of the microbiome DOI Creative Commons
Caroline R. Wensel, Jennifer L. Pluznick, Steven L. Salzberg

и другие.

Journal of Clinical Investigation, Год журнала: 2022, Номер 132(7)

Опубликована: Март 31, 2022

Next-generation sequencing (NGS) technology has advanced our understanding of the human microbiome by allowing for discovery and characterization unculturable microbes with prediction their function. Key NGS methods include 16S rRNA gene sequencing, shotgun metagenomic RNA sequencing. The choice which methodology to pursue a given purpose is often unclear clinicians researchers. In this Review, we describe fundamentals NGS, focus on We also discuss pros cons each as well important concepts in data variability, study design, clinical metadata collection. further present examples how studies have disease pathophysiology across diverse contexts, including development diagnostics therapeutics. Finally, share insights might be integrated into advance research care coming years.

Язык: Английский

Процитировано

264

mNGS in clinical microbiology laboratories: on the road to maturity DOI
Dongsheng Han, Ziyang Li, Rui Li

и другие.

Critical Reviews in Microbiology, Год журнала: 2019, Номер 45(5-6), С. 668 - 685

Опубликована: Ноя. 2, 2019

Metagenomic next-generation sequencing (mNGS) is increasingly being applied in clinical laboratories for unbiased culture-independent diagnosis. Whether it can be a next routine pathogen identification tool has become topic of concern. We review the current implementation this new technology infectious disease diagnostics and discuss feasibility transforming mNGS into diagnostic test. Since 2008, numerous studies from over 20 countries have revealed practicality work-up undiagnosed diseases. performs well identifying rare, novel, difficult-to-detect coinfected pathogens directly samples presents great potential resistance prediction by antibiotic genes, providing evidence that used to guide treatment options improve stewardship. Many physicians recognized as last resort method address infection problems. Although several hurdles, such workflow validation, quality control, standardisation, data interpretation, remain before implemented routinely laboratories, they are temporary overcome rapidly evolving technologies. With more validated workflows, lower cost turnaround time, simplified interpretation criteria, will widely accepted practice. Overall, landscape microbiology ensure properly utilised diagnosis, both microbiologists should thorough understanding power limitations method.

Язык: Английский

Процитировано

263