Quantitative Measurement How many of each taxa are present - PowerPoint PPT Presentation

1 / 12
About This Presentation
Title:

Quantitative Measurement How many of each taxa are present

Description:

Can be used to quantify different species present in a community. ... We need mathematical algorithms to convert percentage DIFFERENCE to GENETIC DISTANCE. ... – PowerPoint PPT presentation

Number of Views:47
Avg rating:3.0/5.0
Slides: 13
Provided by: gillb7
Category:

less

Transcript and Presenter's Notes

Title: Quantitative Measurement How many of each taxa are present


1
Quantitative MeasurementHow many of each taxa
are present?
  • Methods
  • T-RFLP
  • FisH
  • Real-time PCR
  • ARDRA and DGGE also give an idea of which
    organisms are most abundant.
  • WARNING true quantitation is virtually
    impossible!
  • PCR bias leads to unfair representation of
    quantity of each species present.

2
T-RFLPTerminal-Random Fragment Length
Polymorphisms
  • PCR with fluorescently labelled primers, so all
    PCR products have fluorescent terminal.
  • Digest PCR products with restriction enzymes.
  • Run restriction digest on a gel and read with a
    laser.
  • The brighter the signal the more copies of DNA.
  • We can identify individual species by checking
    T-RFLP pattern of pure culture.

Brightness of Fluor.
Size of fragment
3
FisHFluorescence in situ Hybridisation
  • Purpose To check whether a particular organism
    exists in a
  • sample and in what proportion.
  • 1) Find out the sequence of your organism (from
    database).
  • 2) Make a probe (oligonucleotide) that is
    complementary to the RNA of the organism and
    label it with fluorescent probe.
  • 3) Fix your sample on a microscope slide and wash
    with labelled probe.
  • 4) Look down a fluorescence microscope and see in
    which cells the fluorescent probe has bound.

4
Real-time PCR
  • Purpose to quantify the amount of template
    that
  • is amplified in a PCR reaction.
  • Can be used to quantify different species present
    in a community.
  • Need Primers specific for the organisms you
    want to quantify.
  • A damned expensive machine that
  • measures the PCR product as it is
  • amplified.

5
Systematics/Taxonomy
  • Cladistics - discrete character data
  • a series of discrete variables (characters) with
    multiple character states.
  • Example in higher organisms - Character 1
    toes
  • character states humans 5 toes
  • lions 4 toes
  • tigers 4 toes
  • Character 2 whiskers
  • character states humans absent
  • lions present
  • tigers present
  • Character 3 ears
  • character states humans 2 ears
  • lions 2 ears
  • tigers 2 ears

H L T 4 Toes - Whiskers - 2
Ears Tigers and Lions are more closely
related to each other than they are to humans
6
Cladistics continued .
  • Problem many characters have evolved more than
    once in separate lineages e.g. wings in bats and
    birds
  • Molecular Cladistics (Discrete character data)
  • examples of characters presence/absence of
    gene
  • presence/absence of RFLP band
  • A/G/C/T at a particular position
  • Example of Discrete Character Method
  • Maximum Parsimony.

7
Phenetics
  • Phenetics - distance data
  • a single variable (e.g. DNA hybridisation data)
  • Discrete character data can be converted in
    distance data, but distance data can not tell us
    about discrete characters.
  • DNA Sequence Data - the percent of base
    differences between sequences can put into a
    distance matrix.
  • A B C D
  • A 0 10 20 30
  • B 0 10 20
  • C 0 10

8
  • A B C D
  • A 0 10 20 30
  • B 0 20 20
  • C 0 20
  • A AGGGCCTTAA
  • B AGGGCCTTAG
  • C AGGGCCTTCC
  • D AGGGCCTACG

A B A C C D D B A D
B C
9
A B C DA 0 10 20 30B 0 20 20C 0 20
A B AB CD BD AC 10 20 20 20
70 C D A C AC DB CB AD 20 20 20
30 90 D B A D AD BC DB AC 30
20 20 10 80 B C
10
Rooted and Unrooted Trees
A B
A B A B
C D
C D C D
A B C D
A B C D
A B C D
11
ROOTED TREE TO SCALE
A B C
D
A B C D A 10 20 30 B
20 20 C
20
12
Maths
  • Phylogeny is not really all that simple!
  • A AGGGCCTTAA
  • B AGGGCCTTAG
  • We need mathematical algorithms to convert
    percentage DIFFERENCE to GENETIC DISTANCE. Also
    most trees have more than 4 branches. These
    algorithms can be computationally difficult. Get
    a computer to do it!!

How do we know that this is one base change? It
could have changed from A to C then C to G
Write a Comment
User Comments (0)
About PowerShow.com