How to submit 16s RNA sequencing in NCBI submission portal

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  • Опубліковано 29 чер 2024
  • #Microbiology
    #MicrobialEcology
    #MicrobialDiversity
    #Bacteriology
    #Microbiome
    #16SrRNA
    #16SSequencing
    #Metagenomics
    #AmpliconSequencing
    Methods and Techniques
    #NextGenSequencing
    #HighThroughputSequencing
    #PCR
    #DNASequencing
    #Bioinformatics
    Applications
    #ClinicalMicrobiology
    #EnvironmentalMicrobiology
    #GutMicrobiome
    #SoilMicrobiology
    #WaterMicrobiology
    Tools and Databases
    #SilvaDatabase
    #Greengenes
    #RDPDatabase
    #QIIME
    #DADA2
    Broader Scientific Context
    #Genomics
    #Biotechnology
    #SyntheticBiology
    #SystemsBiology
    16S rRNA Sequencing
    Definition:
    16S ribosomal RNA (rRNA) sequencing is a powerful method used to identify and compare bacteria within a given sample. It involves sequencing the 16S rRNA gene, which is present in all bacteria and contains both conserved and variable regions that can provide insights into bacterial identity and phylogeny.
    Process of 16S rRNA Sequencing
    Sample Collection: Collect a sample containing the bacterial community of interest (e.g., soil, water, gut microbiome).
    DNA Extraction: Extract total genomic DNA from the sample.
    PCR Amplification:
    Amplify the 16S rRNA gene using polymerase chain reaction (PCR) with primers targeting conserved regions flanking variable regions (V1-V9).
    Commonly used primers target regions such as V3-V4 or V4-V5.
    Sequencing:
    Perform high-throughput sequencing (e.g., Illumina MiSeq, Ion Torrent) to generate numerous reads of the 16S rRNA gene fragments.
    Sequence data can be paired-end (both ends of the DNA fragment) or single-end.
    Data Processing and Analysis:
    Quality Control: Filter and trim raw sequencing reads to remove low-quality data.
    Operational Taxonomic Units (OTUs) or Amplicon Sequence Variants (ASVs): Cluster sequences into OTUs based on similarity (usually 97% similarity) or define ASVs using error-correcting algorithms.
    Taxonomic Assignment: Compare sequences to a reference database (e.g., SILVA, Greengenes, RDP) to assign taxonomy.
    Diversity Analysis: Calculate alpha (within-sample) and beta (between-sample) diversity metrics.
    Phylogenetic Analysis: Construct phylogenetic trees to explore evolutionary relationships.
    Applications
    Microbial Community Profiling:
    Identify and characterize bacterial communities in various environments (e.g., soil, water, human microbiome).
    Study the composition and structure of microbiomes.
    Clinical Diagnostics:
    Detect and identify pathogenic bacteria in clinical samples (e.g., blood, urine).
    Monitor changes in the human microbiome associated with diseases.
    Ecological and Environmental Studies:
    Investigate microbial diversity and dynamics in natural habitats.
    Assess the impact of environmental changes or pollutants on microbial communities.
    Biotechnology and Industrial Applications:
    Optimize microbial consortia for bioremediation, fermentation, and other bioprocesses.
    Discover novel microbial species and enzymes.
    Advantages and Limitations
    Advantages:
    High-Throughput: Can analyze thousands of samples simultaneously, generating vast amounts of data.
    Broad Range: Can detect and identify a wide variety of bacteria, including those that are difficult or impossible to culture.
    Cost-Effective: Becoming increasingly affordable with advances in sequencing technologies.
    Limitations:
    Resolution: May not distinguish between closely related species or strains.
    PCR Bias: Variability in primer efficiency can lead to biased representation of certain taxa.
    Short Reads: Sequencing short fragments may not provide enough information for complete taxonomic resolution.
    Summary
    16S rRNA sequencing is a fundamental tool in microbial ecology and genomics. It allows for the identification and comparison of bacterial communities by targeting the 16S rRNA gene, providing insights into microbial diversity, evolution, and function in various environments. Despite some limitations, its widespread application continues to advance our understanding of microbial life and its role in health, industry, and the environment.
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