The metagenome Flashcards

1
Q

What is genomics?

A

Whole cell gene content

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2
Q

What is transcriptomics?

A

Whole cell gene expression

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3
Q

What is proteomics?

A

Whole cell protein content

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4
Q

What is metabolomics?

A

Whole cell metabolite content

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5
Q

What is metagenomics?

A

It’s the study of genetic material recovered directly from environmental or biological systems

  • Gives an unbiased view of taxonomic diversity in a sample
  • Not limited by ability to culture
  • Overall view of gene content in a sample
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6
Q

What is microbiota?

A

It is the ecological community of commensal and pathogenic microorganisms Includes: bacteria, archare, protists and fungi

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7
Q

What is microbiome?

A

It is the collective genomes of the microorganisms in microbiota

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8
Q

How is microbiomes to each individual and so what can we deduce?

A

Reminder= Microbiome is the collective genomes of micro-organisms in microbiota

Microbiome are unique to each individual (even in twins), so more to do with environmental factors

Changes in the gut microbiome have been associated with multiple human illnesses (IBS, depression, cancer)

  • The gut microbiome can classify individuals as lean or obese with 90% accuracy.
  • Early life gut microbiomes are linked to the development of asthma
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9
Q

What can gut microbiome in individuals classify?

A

Gut microbiome can classify individuals as lean or obese with >90% accuracy

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10
Q

Describe the human stool microbiome when infected with CDI

A
  • Stool microbiome when infected with CDI (clostridium dificle) is different to a healthy stool microbiome
  • CDI has a greater effect on the stool microbiome than host genetic factors
  • Faecal microbiota transplant is able to cure CDI
    • Restoration of the stool microbiome to that of healthy state is rapid following transplantation
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11
Q

What does CDI have a greater effect on?

A

CDI has a greater effect on stool microbiome than host genetic factors

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12
Q

List the technological approaches used in metagenomics

A
  • Targeted PCR amplification
    • 16S RNA bacteria
    • Internal transcribed Spacer (ITS), 18S rRNA eukaryotes
  • Whole Genome Shotgun Sequencing
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13
Q

What is 16s rRNA?

A

16s rRNA is a component of 30s small subunit of prokaryotic ribosome

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14
Q

What do we use to diversify between species in targeted 16S PCR amplification?

A

We can use the variable region to identify the phylogenetics of different species present in a sample

  • This is because the variable regions are conserved within a phylum (genetic group) but converge within a species
  • These regions are used to seperate species based on these sequences
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15
Q

Describe how 16S targeted amplification works?

A
  • We collect a mixed sample collection
  • Then carry out DNA extraction of all bacteria
  • Afterwards we do 16s PCR amplification
  • Sequencing
  • Analysis

By matching sequenced samples, you are abel to identify how many species or genus is present in the sample. This can then be converted into data

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16
Q

What factors do we take into account when choosing the variable regions (V1-V9) to choose in 16s PCR amplification?

A
  • Phylogenetic signal - does the variable region contain enough information to seperate the species that you’re interested in seperating
  • Amplicon length - how big can the PCR product be?
17
Q

How do you prevent contamination of a sample in 16S targeted amplification?

A

The method is very sensitive to the contamination from the environment, operator and reagents = this is important for low biomass samples

contamination can be avoided by:

  1. Randomise samples avoids bias!!!!
  2. Note batch numbers of reagents!!!!
  3. Sequence negative controls e.g sequencing water!!
18
Q

Describe whole genome shotgun sequencing?

A

Has the same steps as 16s PCR amplification but the whole genome is sequenced instead of only 16s rRNA. = NO BIAS

These reads can be assembled, a phylogenetic tree is constructed and taxonomic diversity is analysed, the relative bacterial abundance can be looked at.

  • By finding out which genes are present, we infer which metabolic pathway is present in the sample.
    • Comparing with other samples you are able to look for enrichment, decreasing metabolic pathways between different environments, niches
19
Q

What do we to do the data we obtain from whole genome shotgun technique and how can we use this data?

A

The sequence from the sequencing machine is reassembled to make sense -Can use the data to do a taxonomic diversity assessment -Can also use the data for gene prediction

20
Q

How do we enrich without amplification?(Pre extraction)

A
  • Different lysis of mammalian cells
  • Enrichs for intact microbial cells
  • However potential bias towards gram positive bacteria
21
Q

How do we enrich without amplification?(Post extraction)

A
  • Enzymatic degradation of methylated nucleotides targets mammalian DNA
  • Bias against AT rich bacterial genome
22
Q

How does 16S targeted amplification cope with hard reads?

A
  • Choice of variable region determines resolution. It is less reliable below genus level
  • Thus 16S is hard with long reads
    • New Technology enables full length 16S sequencing
      • PacBio + Nanopore
  • However, higher error rates of long read technologies introduce noiseee. Development of this technology is ongoing.
23
Q

What is an issue with whole genome shotgun sequencing?

A
  • Host cells are often in excess in the sample, no amplification step which enriches for bacterial DNA
  • It is sample dependant, typical yields of contaminating human reads are:
    • Faecal: <10% human reads
    • Salivia, nasal, skin samples >90% human reads

The sample can be enriched so that there is less patient DNA/host cells without amplification through pre-extraction or post-extraction

24
Q

What is the difference between targeted 16S PCR amplification and whole genome shotgun sequencing?

A
  • Targeted 16S PCR amplification
    • Assess taxanomic diversity in sample
    • Biased, only bacteria
  • Whole genome shotgun sequencing
    • Assess taxanomic diversity in sample
    • Assess composite gene functions in sample
    • Unbiased, all micro-organisms