Did you mean: metagenomic
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Methods in Molecular Biology (Clifton,... 2022Microbial communities' taxonomic and functional diversity has been broadly studied since sequencing technologies enabled faster and cheaper data obtainment....
Microbial communities' taxonomic and functional diversity has been broadly studied since sequencing technologies enabled faster and cheaper data obtainment. Nevertheless, the programming skills needed and the amount of software available may be overwhelming to someone trying to analyze these data. Here, we present a comprehensive and straightforward pipeline that takes shotgun metagenomics data through the needed steps to obtain valuable results. The raw data goes through a quality control process, metagenomic assembly, binning (the obtention of single genomes from a metagenome), taxonomic assignment, and taxonomic diversity analysis and visualization.
Topics: Computational Biology; Metagenome; Metagenomics; Microbiota; Sequence Analysis, DNA; Software
PubMed: 35818005
DOI: 10.1007/978-1-0716-2429-6_10 -
Cell Aug 2019Metagenomic sequencing is revolutionizing the detection and characterization of microbial species, and a wide variety of software tools are available to perform... (Review)
Review
Metagenomic sequencing is revolutionizing the detection and characterization of microbial species, and a wide variety of software tools are available to perform taxonomic classification of these data. The fast pace of development of these tools and the complexity of metagenomic data make it important that researchers are able to benchmark their performance. Here, we review current approaches for metagenomic analysis and evaluate the performance of 20 metagenomic classifiers using simulated and experimental datasets. We describe the key metrics used to assess performance, offer a framework for the comparison of additional classifiers, and discuss the future of metagenomic data analysis.
Topics: Bacteria; Benchmarking; Databases, Genetic; Fungi; Metagenome; Metagenomics; Phylogeny; Polymerase Chain Reaction; Sequence Analysis, DNA; Software; Viruses
PubMed: 31398336
DOI: 10.1016/j.cell.2019.07.010 -
Journal of Food Protection Mar 2022Advancements in next-generation sequencing technology have dramatically reduced the cost and increased the ease of microbial whole genome sequencing. This approach is... (Review)
Review
ABSTRACT
Advancements in next-generation sequencing technology have dramatically reduced the cost and increased the ease of microbial whole genome sequencing. This approach is revolutionizing the identification and analysis of foodborne microbial pathogens, facilitating expedited detection and mitigation of foodborne outbreaks, improving public health outcomes, and limiting costly recalls. However, next-generation sequencing is still anchored in the traditional laboratory practice of the selection and culture of a single isolate. Metagenomic-based approaches, including metabarcoding and shotgun and long-read metagenomics, are part of the next disruptive revolution in food safety diagnostics and offer the potential to directly identify entire microbial communities in a single food, ingredient, or environmental sample. In this review, metagenomic-based approaches are introduced and placed within the context of conventional detection and diagnostic techniques, and essential considerations for undertaking metagenomic assays and data analysis are described. Recent applications of the use of metagenomics for food safety are discussed alongside current limitations and knowledge gaps and new opportunities arising from the use of this technology.
Topics: Food Safety; High-Throughput Nucleotide Sequencing; Metagenome; Metagenomics; Whole Genome Sequencing
PubMed: 34706052
DOI: 10.4315/JFP-21-301 -
Nature Oct 2023Metagenomes encode an enormous diversity of proteins, reflecting a multiplicity of functions and activities. Exploration of this vast sequence space has been limited to...
Metagenomes encode an enormous diversity of proteins, reflecting a multiplicity of functions and activities. Exploration of this vast sequence space has been limited to a comparative analysis against reference microbial genomes and protein families derived from those genomes. Here, to examine the scale of yet untapped functional diversity beyond what is currently possible through the lens of reference genomes, we develop a computational approach to generate reference-free protein families from the sequence space in metagenomes. We analyse 26,931 metagenomes and identify 1.17 billion protein sequences longer than 35 amino acids with no similarity to any sequences from 102,491 reference genomes or the Pfam database. Using massively parallel graph-based clustering, we group these proteins into 106,198 novel sequence clusters with more than 100 members, doubling the number of protein families obtained from the reference genomes clustered using the same approach. We annotate these families on the basis of their taxonomic, habitat, geographical and gene neighbourhood distributions and, where sufficient sequence diversity is available, predict protein three-dimensional models, revealing novel structures. Overall, our results uncover an enormously diverse functional space, highlighting the importance of further exploring the microbial functional dark matter.
Topics: Cluster Analysis; Metagenome; Metagenomics; Proteins; Databases, Protein; Protein Conformation; Microbiology
PubMed: 37821698
DOI: 10.1038/s41586-023-06583-7 -
Clinical Microbiology and Infection :... Jul 2012The development of extensive sequencing methods has allowed metagenomic studies on the human gut microbiome to be carried out. This has tremendously increased our... (Review)
Review
The development of extensive sequencing methods has allowed metagenomic studies on the human gut microbiome to be carried out. This has tremendously increased our knowledge on gut microbiota composition and activity, allowing microbiota aberrations related to different diseases to be identified. These aberrations constitute targets for the development of probiotics directed to correct them. Probiotics are extensively used to modulate gut microbiota. Nevertheless, metagenomic studies on the effects of probiotics are still very scarce. In the near future, the use of metagenomics promises to expand our understanding of probiotic action.
Topics: Biota; Gastrointestinal Tract; Humans; Metagenome; Metagenomics; Probiotics
PubMed: 22647045
DOI: 10.1111/j.1469-0691.2012.03873.x -
Applied and Environmental Microbiology Aug 2020Many biological contaminants are disseminated through water, and their occurrence has potential detrimental impacts on public and environmental health. Conventional... (Review)
Review
Many biological contaminants are disseminated through water, and their occurrence has potential detrimental impacts on public and environmental health. Conventional monitoring tools rely on cultivation and are not robust in addressing modern water quality concerns. This review proposes metagenomics as a means to provide a rapid, nontargeted assessment of biological contaminants in water. When further coupled with appropriate methods (e.g., quantitative PCR and flow cytometry) and bioinformatic tools, metagenomics can provide information concerning both the abundance and diversity of biological contaminants in reclaimed waters. Further correlation between the metagenomic-derived data of selected contaminants and the measurable parameters of water quality can also aid in devising strategies to alleviate undesirable water quality. Here, we review metagenomic approaches (i.e., both sequencing platforms and bioinformatic tools) and studies that demonstrated their use for reclaimed-water quality monitoring. We also provide recommendations on areas of improvement that will allow metagenomics to significantly impact how the water industry performs reclaimed-water quality monitoring in the future.
Topics: Environmental Monitoring; Metagenome; Metagenomics; Waste Disposal, Fluid; Water Quality
PubMed: 32503906
DOI: 10.1128/AEM.00724-20 -
Functional & Integrative Genomics Feb 2022This humble effort highlights the intricate details of metagenomics in a simple, poetic, and rhythmic way. The paper enforces the significance of the research area,... (Review)
Review
This humble effort highlights the intricate details of metagenomics in a simple, poetic, and rhythmic way. The paper enforces the significance of the research area, provides details about major analytical methods, examines the taxonomy and assembly of genomes, emphasizes some tools, and concludes by celebrating the richness of the ecosystem populated by the "metagenome."
Topics: High-Throughput Nucleotide Sequencing; Metagenome; Metagenomics; Software
PubMed: 34657989
DOI: 10.1007/s10142-021-00810-y -
Virus Research Jul 2017Viruses are the most abundant biological entities on Earth, exceeding bacteria in most of the ecosystems. Specially in oceans, viruses are thought to be the major... (Review)
Review
Viruses are the most abundant biological entities on Earth, exceeding bacteria in most of the ecosystems. Specially in oceans, viruses are thought to be the major planktonic predators shaping microorganism communities and controlling ocean biological capacity. Plankton lysis by viruses plays an important role in ocean nutrient and energy cycles. Viral metagenomics has emerged as a powerful tool to uncover viral diversity in aquatic ecosystems through the use of Next Generation Sequencing. However, many of the commonly used viral sample preparation steps have several important biases that must be considered to avoid a misinterpretation of the results. In addition to biases caused by the purification of virus particles, viral DNA/RNA amplification and the preparation of genomic libraries could also introduce biases, and a detailed knowledge about such protocols is required. In this review, the main steps in the viral metagenomic workflow are described paying special attention to the potential biases introduced by each one.
Topics: Genetic Variation; Genome, Viral; Geography; Metagenome; Metagenomics; Viruses; Water Microbiology
PubMed: 27889617
DOI: 10.1016/j.virusres.2016.11.021 -
NeoReviews May 2019The human microbiota includes the trillions of microorganisms living in the human body whereas the human microbiome includes the genes and gene products of this... (Review)
Review
The human microbiota includes the trillions of microorganisms living in the human body whereas the human microbiome includes the genes and gene products of this microbiota. Bacteria were historically largely considered to be pathogens that inevitably led to human disease. However, because of advances in both cultivation-based methods and the advent of metagenomics, bacteria are now recognized to be largely beneficial commensal organisms and thus, key to normal and healthy human development. This relatively new area of medical research has elucidated insights into diseases such as inflammatory bowel disease and obesity, as well as metabolic and atopic disorders. However, much remains unknown about the complexity of microbe-microbe and microbe-host interactions. Future efforts aimed at answering key questions pertaining to the early establishment of the microbiome, alongside what defines its dysbiosis, will likely lead to long-term health and mitigation of disease. Here, we review the relevant literature pertaining to modulations in the perinatal and neonatal microbiome, the impact of environmental and maternal factors in shaping the neonatal microbiome, and future questions and directions in the exciting emerging arena of metagenomic medicine.
Topics: Female; Forecasting; Humans; Infant Health; Infant, Newborn; Metagenome; Metagenomics; Microbiota; Pregnancy
PubMed: 31261078
DOI: 10.1542/neo.20-5-e258 -
Journal of Microbiology (Seoul, Korea) Mar 2021The environment is under siege from a variety of pollution sources. Fecal pollution is especially harmful as it disperses pathogenic bacteria into waterways. Unraveling... (Review)
Review
The environment is under siege from a variety of pollution sources. Fecal pollution is especially harmful as it disperses pathogenic bacteria into waterways. Unraveling origins of mixed sources of fecal bacteria is difficult and microbial source tracking (MST) in complex environments is still a daunting task. Despite the challenges, the need for answers far outweighs the difficulties experienced. Advancements in qPCR and next generation sequencing (NGS) technologies have shifted the traditional culture-based MST approaches towards culture independent technologies, where community-based MST is becoming a method of choice. Metagenomic tools may be useful to overcome some of the limitations of community-based MST methods as they can give deep insight into identifying host specific fecal markers and their association with different environments. Adoption of machine learning (ML) algorithms, along with the metagenomic based MST approaches, will also provide a statistically robust and automated platform. To compliment that, ML-based approaches provide accurate optimization of resources. With the successful application of ML based models in disease prediction, outbreak investigation and medicine prescription, it would be possible that these methods would serve as a better surrogate of traditional MST approaches in future.
Topics: Animals; Bacteria; Feces; High-Throughput Nucleotide Sequencing; Humans; Metagenome; Metagenomics
PubMed: 33565053
DOI: 10.1007/s12275-021-0668-9