* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download DISEASES AND TREES - UC Berkeley College of Natural Resources
Vectors in gene therapy wikipedia , lookup
Gene desert wikipedia , lookup
Neuronal ceroid lipofuscinosis wikipedia , lookup
Non-coding DNA wikipedia , lookup
Point mutation wikipedia , lookup
History of genetic engineering wikipedia , lookup
Minimal genome wikipedia , lookup
Ridge (biology) wikipedia , lookup
Koinophilia wikipedia , lookup
Gene expression programming wikipedia , lookup
Epigenetics of neurodegenerative diseases wikipedia , lookup
Site-specific recombinase technology wikipedia , lookup
Genomic imprinting wikipedia , lookup
Biology and consumer behaviour wikipedia , lookup
Therapeutic gene modulation wikipedia , lookup
Pathogenomics wikipedia , lookup
Nutriepigenomics wikipedia , lookup
Epigenetics of human development wikipedia , lookup
Genome evolution wikipedia , lookup
Metagenomics wikipedia , lookup
Computational phylogenetics wikipedia , lookup
Helitron (biology) wikipedia , lookup
Genome (book) wikipedia , lookup
Population genetics wikipedia , lookup
Quantitative trait locus wikipedia , lookup
Public health genomics wikipedia , lookup
Designer baby wikipedia , lookup
Gene expression profiling wikipedia , lookup
SUMMARY • • • • • • • Disease and disease triangle Pathogen Native vs. exotic diseases Type of diseases Long term effect of disease Density dependence- Janzen Connol Gene for gene- Red queen hypothesis Evolution and Population genetics • Positively selected genes:…… • Negatively selected genes…… • Neutral genes: normally population genetics demands loci used are neutral • Loci under balancing selection….. Evolution and Population genetics • Positively selected genes:…… • Negatively selected genes…… • Neutral genes: normally population genetics demands loci used are neutral • Loci under balancing selection….. Evolutionary history • Darwininan vertical evolutionray models • Horizontal, reticulated models.. NJ Phylogenetic relationships within the Heterobasidion complex Het INSULARE Fir-Spruce True Fir EUROPE Spruce EUROPE True Fir NAMERICA Pine Europe Pine EUROPE Pine N.Am. Pine NAMERICA 0.05 substitutions/site NJ 11.10 SISG CA Geneaology of “S” DNA insertion into P ISG confirms horizontal transfer. 2.42 SISG CA BBd SISG WA F2 SISG MEX Time of “cross-over” uncertain NA S BBg SISG WA 14a2y SISG CA 15a5y M6 SISG CA 6.11 SISG CA 9.4 SISG CA AWR400 SPISG CA 9b4y SISG CA 15a1x M6 PISG CA 1M PISG MEX 9b2x PISG CA A152R FISG EU A62R SISG EU 890 bp CI>0.9 A90R SISG EU EU S A93R SISG EU J113 FISG EU J14 SISG EU J27 SISG EU J29 SISG EU 0.0005 substitutions/site EU F NA P Because of complications such as: • Reticulation • Gene homogeneization…(Gene duplication) • Need to make inferences based on multiple genes • Multilocus analysis also makes it possible to differentiate between sex and lack of sex (Ia=index of association) How to get multiple loci? • Random genomic markers: – RAPDS – Total genome RFLPS (mostly dominant) – AFLPS • Microsatellites • SNPs • Multiple specific loci – SSCP – RFLP – Sequence informat5ion Sequence information • Codominant • Molecules have different rates of mutation, different molecules may be more appropriate for different questions • 3rd base mutation • Intron vs. exon • Secondary tertiary structure limits • Homoplasy Sequence information • Multiple gene genealogies=definitive phylogeny • Need to ensure gene histories are comparable” partition of homogeneity test • Need to use unlinked loci HOST-SPECIFICITY • • • • • Biological species Reproductively isolated Measurable differential: size of structures Gene-for-gene defense model Sympatric speciation: Heterobasidion, Armillaria, Sphaeropsis, Phellinus, Fusarium forma speciales NJ Phylogenetic relationships within the Heterobasidion complex Het INSULARE Fir-Spruce True Fir EUROPE Spruce EUROPE True Fir NAMERICA Pine Europe Pine EUROPE Pine N.Am. Pine NAMERICA 0.05 substitutions/site SEX • Ability to recombine and adapt • Definition of population and metapopulation • Different evolutionary model • Why sex? Clonal reproductive approach can be very effective among pathogens Recognition of self vs. non self • Intersterility genes: maintain species gene pool. Homogenic system • Mating genes: recognition of “other” to allow for recombination. Heterogenic system • Somatic compatibility: protection of the individual. From the population level to the individual • Autoinfection vs. alloinfection • Primary spread=by spores • Secondary spread=vegetative, clonal spread, same genotype . Completely different scales Coriolus Heterobasidion Armillaria Phellinus Basic definitions again • Locus • Allele • Dominant vs. codominant marker – RAPDS – AFLPs Root disease center in true fir caused by H. annosum Ponderosa pine Incense cedar Yosemite Lodge 1975 Root disease centers outlined Yosemite Lodge 1997 Root disease centers outlined Are my haplotypes sensitive enough? • To validate power of tool used, one needs to be able to differentiate among closely related individual • Generate progeny • Make sure each meiospore has different haplotype RAPD combination 1 2 • 1010101010 • 1011101010 • 1010101010 • 1010111010 • 1010101010 • 1010001010 • 1010101010 • 1010000000 • 1011001010 • 1011110101 Conclusions • Only one RAPD combo is sensitive enough to differentiate 4 half-sibs (in white) • Mendelian inheritance? • By analysis of all haplotypes it is apparent that two markers are always cosegregating, one of the two should be removed Dealing with dominant anonymous multilocus markers • • • • Need to use large numbers Repeatability Graph distribution of distances Calculate distance using Jaccard’s similarity index Jaccard’s • Only 1-1 and 1-0 count, 0-0 do not count 1010011 1001011 1001000 Jaccard’s • Only 1-1 and 1-0 count, 0-0 do not count A: 1010011 AB= 0.6 B: 1001011 BC=0.5 C: 1001000 AC=0.2 0.4 (1-AB) 0.5 0.8 Now that we have distances…. • Plot their distribution (clonal vs. sexual) 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 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 AMOVA groupings • Individual • Population • Region AMOVA: partitions molecular variance amongst a priori defined groupings 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 – Discriminant, canonical analysis 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 – Discriminant, canonical analysis – Frequency: does allele frequency match expected (hardy weinberg), F or Wright’s statistsis 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)--- S-P ratio in stumps is highly dependent on distance from true fir and hemlock stands . . San Diego Have we sampled enough? • Resampling approaches • Saturation curves If we have codominant markers how many do I need • Probability calculation based on allele frequency. White mangroves: Corioloposis caperata Coco Solo Mananti Ponsok David Coco Solo 0 237 273 307 Mananti Ponsok David 0 60 89 0 113 0 Distances between study sites White mangroves: Corioloposis caperata 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 plantparasitic fungi. AFLP study on single spores Coriolopsis caperata on Laguncularia racemosa Site # of isolates # of loci % fixed alleles Coco Solo 11 113 2.6 David 14 104 3.7 Bocas 18 92 15.04 Coco Solo Coco Solo Bocas David 0.000 0.000 0.000 Bocas 0.2083 0.000 0.000 David 0.1109 0.2533 0.000 Distances =PhiST between pairs of populations. Above diagonal is the Probability Random d istance > Observed distance (1000 iterations). From Garbelotto and Chapela, Evolution and biogeography of matsutakes Biodiversity within species as significant as between species 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 Using DNA sequences • • • • Testing alternative trees: kashino hasegawa Molecular clock Outgroup Spatial correlation (Mantel) • Networks and coalescence approaches QuickTime™ and a TIFF (LZW) decompressor are needed to see this picture.