UNIT 5 Flashcards

1
Q

Metagenomics

A
  • Metagenomics
    • Study of genetic material from environmental samples
  • Workflow
    • Sample collection and DNA extraction
    • Sequencing
    • Preprocessing and quality control
    • Taxonomic profiling and classification
    • Functional annotation
    • Assembly (optional)
    • Data visualization and interpretation
    • Statistical analysis
  • Tools
    • QIIME/QIIME2, Kraken2, MEGAN, MetaPhlAn
    • FastQC, Trimmomatic, Cutadapt
    • Prokka, MetaGeneMark
  • Applications
    • Human health
    • Environmental studies
    • Biotechnology
    • Agriculture
  • Conclusion
    • Powerful tool for studying microbial communities
    • Provides insights into diversity, function, and interactions
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Metagenomics Raw Data Preprocessing

A
  • Metagenomics Preprocessing
    • Cleaning and preparing raw sequencing data
  • Steps
    • Quality assessment (FastQC)
    • Trimming and filtering (Trimmomatic, Cutadapt)
    • Adapter and contaminant removal (Cutadapt, BBMap, Decontam, KneadData)
    • Dereplication (USEARCH, VSEARCH)
    • Host DNA removal (Bowtie2, BBMap)
    • Merging paired-end reads (PEAR, Fastq-join)
    • Normalization (DESeq2, rarefaction)
    • Format conversion (SEQTK, FASTX-Toolkit)
  • Importance
    • Improves data quality and accuracy
    • Removes errors and biases
    • Ensures reliable downstream analysis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Metagenomic Features

A
  • Metagenomic Features
    • Characteristics derived from metagenomic data
  • Taxonomic Features
    • OTUs, ASVs
    • Taxonomic classification
    • Phylogenetic analysis
  • Functional Features
    • Gene function prediction
    • Functional annotation
    • Metabolic pathway reconstruction
    • ARGs, virulence factors
  • Diversity Metrics
    • Alpha diversity (Shannon, Chao1)
    • Beta diversity (Bray-Curtis, UniFrac)
    • Rarefaction curves
  • Other Features
    • Co-occurrence networks
    • MAGs
    • Phage and viral identification
  • Conclusion
    • Provide insights into microbial communities
    • Essential for understanding diversity, function, and interactions
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Metagenomic Taxonomy Assignment

A
  • Taxonomy Assignment
    • Classifying metagenomic sequences into taxonomic groups
  • Methods
    • Marker-gene based (16S/18S rRNA, ITS)
    • Shotgun metagenomics
  • Tools
    • Kraken, MetaPhlAn, Centrifuge
    • QIIME, FastTree
    • BLAST, UCLUST, VSEARCH
  • Challenges
    • Incomplete reference databases
    • Low resolution
    • Chimeric reads
    • Short reads
  • Conclusion
    • Essential for understanding microbial communities
    • Tools and methods are continuously improving
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Phylogenetic Trees

A
  • Phylogenetic Trees
    • Visualizing evolutionary relationships
  • Key Components
    • Taxa
    • Branches
    • Nodes
    • Root
    • Clades
  • Building Trees
    • Choosing data (DNA, protein, morphological)
    • Aligning sequences
    • Calculating distances
    • Building the tree (distance-based, character-based)
    • Evaluating the tree
  • Importance
    • Understanding evolutionary history
    • Tracing disease evolution
    • Identifying new species
    • Making predictions about future evolution
  • Conclusion
    • Essential tool for studying life on Earth
How well did you know this?
1
Not at all
2
3
4
5
Perfectly