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16S, why is used, what its used for, and weaknesses (Ken)

Jordan Ward Microbiomes (Ken) Highers Inglés 17 fichas

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  1. 1Microbial communityall microbes in a particular “sample”/environment
  2. 2Microbiotawhich means the living organisms of an ecosystem or a particular area
  3. 3great plate count anomaly– up to 10% of the total population can be cultured
    – the CFUs (on agar plates) are usually less than 10% of the total number of
    cells that we see under the microscope.
  4. 416S rRNA gene is a good phylogenetic gene marker because?-it is universal (=present in all Bacteria and Archaea)
    - encodes for an important cellular function (encodes for 16S ribosomal RNA)
    - Rare/limited horizontal transfer
    - sufficient length (to document evolutionary history) -- c. 1500 bp
    - with both highly conserved areas (= identical for all
    bacteria) and variable areas
    - Allows “broad-range/”universal” primers, and differentiation of taxa by sequence variability
    - Good available databases (curated) allow classification.
  5. 5hypervariable regions in 16s?V1-V9
  6. 6Primers used in microbial ecology studies?In microbial ecology studies, universal primers that target 1 or 2
    hypervariable regions are usually used. For example:– 533F and 904R = 370 bp (V4-5)
  7. 7why cant 16s be used for fungi? and how are fungi sequenced?because fungi do not have the 16S gene however they do have the 18S gene however its practically identical in all fungi. so Sequencing of Intergenic Transcribed Spacer (ITS) is used due to high variability due to no structural constraints.
  8. 8why can 16s rRNA gene sequence identities be Microbial taxonomic definitions can be blurry/debated?Historically = sequences of > 97% identity represent the same species.
    > 95% identity represent the same genus
    Current = sequences of
    > 99-100% identity represent the same species
    > 94.5% identity represent the same genus
    ➢ Some prokaryotes may have 100% identical 16S rRNA genes, but rest of genome
    clearly differs --> different species
  9. 9Approach 1: DNA amplification, cloning and sequencingApproach 1: DNA amplification, cloning and sequencing
  10. 10Approach 2: DNA “meta-barcoding” and high-throughput amplicon sequencingApproach 2: DNA “meta-barcoding” and high-throughput amplicon sequencing
  11. 11OTU VS ASVcvcvcvcv
  12. 12Microbial compositionData = files (fasta) with sequence reads --> one read = one taxa
    ➢ Composition of taxa described as “relative abundance” (converted to a %)
    ➢ if 5000 of 10000 sequences belong to one species = 50% relative abundance
    ➢ Data is “compositional” -- if one taxa increases, something/others need to decrease
    ➢ DOES NOT equate to actual cell abundance...
    ➢ e.g., 50% relative abundance of 1 million cells,
    not same as 50% of 1 billion cells
  13. 13Alpha vs Beta DiversityAlpha diversity the diversity within a particular area or ecosystem; usually expressed by the number of species (i.e., species richness) in that ecosystem Beta diversity a comparison of of diversity between multiple microbial communities.
  14. 14Correlating community compositions with environmental conditions16S rRNA gene sequencing of 3000 soil
    samples from 606 sites in New Zealand
    ➢ Calculate correlations with soil variables
    ➢ Communities could differentiate sites grouped by key physico-chemical properties up to 83% accuracy
    ➢ i.e., if you gave them a sample
    they could sequence/analyse
    and predict the soil type
    from composition of microbes
    Remember correlation ≠ causation
    Correlating community compositions with environmental conditions
  15. 15Co-occurrence network analyses of taxa between each otherMany samples from seagrasses
    ➢ Correlations of species abundances
    represented/explored by networks
    ➢ Connected in network = more correlated
    in co-occurring abundances
    = more likely to be interacting
    (again, just an indication!)
    Co-occurrence network analyses of taxa between each other
  16. 16weaknessespotential sampling bias (sample too big or small does not represent diversity).
    DNA extraction -- some cells (e.g., Gram-positives) hard to lyse.
    PCR biases:– Any primer mismatches will reduce amplification of that species– Formation of chimeras: strange formations of two different sequences– Can be recognized by bioinformatics tools and discarded.– rRNA copy numbers --> more copies = over-represented– Contamination from
    Classification of 16S sequences limited by the reference database used:– Errors in databases (misclassified sequences) affect results– Taxonomy often changing/evolving.
    Not possible to resolve species or strains etc with short sequences, and
    what is a “species”?– Taxa with identical 16S rRNA genes often have differing
    genes/genomes.
    16S rRNA reveals the microorganisms that are present (dead or
    alive) and nothing about their functions/role in the environment.
  17. 17Ribosomal gene operonsthe production of rRNA is the rate-limiting step of ribosome synthesis [4], and fast-growing bacteria and archaea accelerate ribosome synthesis by encoding multiple rRNA operons [5].
    Some bacteria and archaea have “unlinked” rRNA genes, where the 16S and 23S rRNA genes are separated by large swaths of genomic space (Fig. 1). This unlinked rRNA gene arrangement was first discovered in the thermophilic bacterium Thermus thermophilus [6]. Reports of unlinked rRNA genes soon followed in additional bacteria, including the planctomycete Pirellula marina [7], the aphid endosymbiont Buchnera aphidicola.
    Probably fast growing microbes need these
    to be transcribed together = more efficient,
    allows more protein production

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16s microbiomes flashcards
Creado por
Jordan Ward
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26
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microbiomes
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