Title: Summary of 8th lesson
1Summary 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
2Dealing with dominant anonymous multilocus markers
- Need to use large numbers (linkage)
- Repeatability
- Graph distribution of distances
- Calculate distance using Jaccards similarity
index
3Jaccards
- Only 1-1 and 1-0 count, 0-0 do not count
- 1010011
- 1001011
- 1001000
4Jaccards
- 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
5Now that we have distances.
- Plot their distribution (clonal vs. sexual)
6Now that we have distances.
- Plot their distribution (clonal vs. sexual)
- Analysis
- Similarity (cluster analysis) a variety of
algorithms. Most common are NJ and UPGMA
7Now 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
8AMOVA groupings
- Individuals within population
- Among populations
- Among regions
- AMOVA partitions molecular variance amongst a
priori defined groupings
9Results Jaccard similarity coefficients
P. nemorosa
P. pseudosyringae U.S. and E.U.
10P. pseudosyringae genetic similarity patterns are
different in U.S. and E.U.
11Results P. nemorosa
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13Have 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
14Saturation 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
15If 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
16White mangroves Corioloposis caperata
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20Distances between study sites
White mangroves Corioloposis caperata
21Forest 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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23Using 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
24Using DNA sequences
- Testing alternative trees kashino hasegawa
- Molecular clock
- Outgroup
- Spatial correlation (Mantel)
- Networks and coalescence approaches
25Good 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
26Alignments (Se-Al)
27Distance vs. parsimony
- Distance simply calculates at how many positions
sequences are similar or differen - (Matteo) ACGTAACGTT-AG
- (Amanda) AGTTAACGTTAAG
- (Patrick) ACTTAACGTTAAG
28Distance vs. Parsimony
Amanda
Patrick
Amanda Matteo
OUTGROUP can allow us to pick Matteo as ancestral
29Confidence
- Bootstrap (resampling approcah) Decay indices
(threshold approach) - Consistency index
- Homoplasy index
30Pacifico
Caribe
31The 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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37From Garbelotto and Chapela, Evolution and
biogeography of matsutakes
Biodiversity within species as significant as
between species
38Other important types of markers (co-dominant)
- Restriction Fragment Length Polymorphisms (RFLP)
of a locus - Single Nucleotide Polymorphisms (SNPs)
- Microsatellites (SSR)
39Restriction Fragment Length Polymorphisms (RFLP)
of a locus
- aacccacgtcaataaaaa
- aacccac
- gtcaataaaaa
- One restriction site
aacccaggtcaataaaaa aacccaggtcaataaaaa No
restriction sites
40Restriction Fragment Length Polymorphisms (RFLP)
of a locus
Two alternate alleles codominant marker
41Single Nucleotide Polymorphisms (SNPs)
- nnACGTnnnnnnTAAGnnnnnn
- nnAGGTnnnnnnTATGnnnnnn
42Dept. 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
431. SSR detection
batch search di and tri-nucleotide
repeats differ in repeat length
CCGAAATCGGACCTTGAGTGCGGAGAGAGAGAGAGACTGTACGAGCCCGA
GTCTCGCAT
44locus ct 0070
45Microsatellites (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(