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Summary of 8th lesson

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Summary of 8th lesson Exotic microbes have a reduced level of genetic variability If genotypes fall on clades separated by long branches, it may be an indication ... – PowerPoint PPT presentation

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Title: Summary of 8th lesson


1
Summary of 8th lesson
  • Exotic microbes have a reduced level of genetic
    variability
  • If genotypes fall on clades separated by long
    branches, it may be an indication there is no sex
    going on between individuals belonging to the two
    branches. Formal tests like the Index of
    association can test for that
  • Anonymous multilocus analysis can be done without
    any knowledge of the genome using markers such as
    RAPDs or AFLPs
  • Need to eliminate co-segregant markers and to use
    Jaccards

2
Dealing with dominant anonymous multilocus markers
  • Need to use large numbers (linkage)
  • Repeatability
  • Graph distribution of distances
  • Calculate distance using Jaccards similarity
    index

3
Jaccards
  • Only 1-1 and 1-0 count, 0-0 do not count
  • 1010011
  • 1001011
  • 1001000

4
Jaccards
  • Only 1-1 and 1-0 count, 0-0 do not count
  • A 1010011 AB 0.6 0.4 (1-AB)
  • B 1001011 BC0.5 0.5
  • C 1001000 AC0.2 0.8

5
Now that we have distances.
  • Plot their distribution (clonal vs. sexual)

6
Now that we have distances.
  • Plot their distribution (clonal vs. sexual)
  • Analysis
  • Similarity (cluster analysis) a variety of
    algorithms. Most common are NJ and UPGMA

7
Now that we have distances.
  • Plot their distribution (clonal vs. sexual)
  • Analysis
  • Similarity (cluster analysis) a variety of
    algorithms. Most common are NJ and UPGMA
  • AMOVA requires a priori grouping

8
AMOVA groupings
  • Individuals within population
  • Among populations
  • Among regions
  • AMOVA partitions molecular variance amongst a
    priori defined groupings

9
Results Jaccard similarity coefficients
P. nemorosa
P. pseudosyringae U.S. and E.U.
10
P. pseudosyringae genetic similarity patterns are
different in U.S. and E.U.
11
Results P. nemorosa
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Have we sampled enough?
  • Resampling approaches
  • Saturation curves
  • A total of 30 polymorphic alleles
  • Our sample is either 10 or 20
  • Calculate whether each new sample is
    characterized by new alleles

14
Saturation curves
No Of New alleles
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
15
If we have codominant markers how many do I need
  • IDENTITY tests probability calculation based
    on allele frequency Multiplication of
    frequencies of alleles
  • 10 alleles at locus 1 P10.1
  • 5 alleles at locus 2 P20,2
  • Total P P1P20.02

16
White mangroves Corioloposis caperata
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Distances between study sites
White mangroves Corioloposis caperata
21
Forest fragmentation can lead to loss of gene
flow among previously contiguous populations.
The negative repercussions of such genetic
isolation should most severely affect highly
specialized organisms such as some
plant-parasitic fungi.
AFLP study on single spores
Coriolopsis caperata on Laguncularia racemosa
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Using DNA sequences
  • Obtain sequence
  • Align sequences, number of parsimony informative
    sites
  • Gap handling
  • Picking sequences (order)
  • Analyze sequences (similarity/parsimony/exhaustive
    /bayesian
  • Analyze output CI, HI Bootstrap/decay indices

24
Using DNA sequences
  • Testing alternative trees kashino hasegawa
  • Molecular clock
  • Outgroup
  • Spatial correlation (Mantel)
  • Networks and coalescence approaches

25
Good chromatogram!
Bad chromatogram
Reverse reaction suffers same problems in
opposite direction
Pull-up (too much signal)
Loss of fidelity leads to slips, skips and mixed
signals
26
Alignments (Se-Al)
27
Distance vs. parsimony
  • Distance simply calculates at how many positions
    sequences are similar or differen
  • (Matteo) ACGTAACGTT-AG
  • (Amanda) AGTTAACGTTAAG
  • (Patrick) ACTTAACGTTAAG

28
Distance vs. Parsimony
Amanda
  • Patrick

Patrick
Amanda Matteo
  • Matteo

OUTGROUP can allow us to pick Matteo as ancestral
29
Confidence
  • Bootstrap (resampling approcah) Decay indices
    (threshold approach)
  • Consistency index
  • Homoplasy index

30
Pacifico
Caribe
31
The scale of disease
  • Dispersal gradients dependent on propagule size,
    resilience, ability to dessicate, NOTE not
    linear
  • Important interaction with environment, habitat,
    and niche availability. Examples Heterobasidion
    in Western Alps, Matsutake mushrooms that offer
    example of habitat tracking
  • Scale of dispersal (implicitely correlated to
    metapopulation structure)---

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From Garbelotto and Chapela, Evolution and
biogeography of matsutakes
Biodiversity within species as significant as
between species
38
Other important types of markers (co-dominant)
  • Restriction Fragment Length Polymorphisms (RFLP)
    of a locus
  • Single Nucleotide Polymorphisms (SNPs)
  • Microsatellites (SSR)

39
Restriction Fragment Length Polymorphisms (RFLP)
of a locus
  • aacccacgtcaataaaaa
  • aacccac
  • gtcaataaaaa
  • One restriction site

aacccaggtcaataaaaa aacccaggtcaataaaaa No
restriction sites
40
Restriction Fragment Length Polymorphisms (RFLP)
of a locus
Two alternate alleles codominant marker
41
Single Nucleotide Polymorphisms (SNPs)
  • nnACGTnnnnnnTAAGnnnnnn
  • nnAGGTnnnnnnTATGnnnnnn

42
Dept. of Energy / Joint Genome Institute (www.JGI.
gov)
Shotgun sequencing Completed May 2004 - 7x
coverage 66 MB..much larger than first
calculated Used 445,030 reads (FASTA format) -
3x coverage
FASTA format
43
1. SSR detection
batch search di and tri-nucleotide
repeats differ in repeat length
CCGAAATCGGACCTTGAGTGCGGAGAGAGAGAGAGACTGTACGAGCCCGA
GTCTCGCAT
44
locus ct 0070
45
Microsatellites (SSR)
  • Supposed to be neutral
  • Stepwise mutation model
  • Very sensitive because loci are prone to mutation
  • Allele is af fragment of DNA that includes the
    flanking regions of the microsatellite and then a
    certain number of tandem repeats (variation in
    size should be in multiple of SSR(
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