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Types of genome maps Physical – based on bp Genetic/ linkage – based on recombination from Thomas Hunt Morgan's 1916 ''A Critique of the Theory of Evolution'',

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Presentation on theme: "Types of genome maps Physical – based on bp Genetic/ linkage – based on recombination from Thomas Hunt Morgan's 1916 ''A Critique of the Theory of Evolution'',"— Presentation transcript:

1 Types of genome maps Physical – based on bp Genetic/ linkage – based on recombination from Thomas Hunt Morgan's 1916 ''A Critique of the Theory of Evolution'', page 132,Thomas Hunt Morgan obtained from http://en.wikipedia.org/wiki/File:M organ_crossover_1.jpg

2 Linkage maps Unlinked markers may be far apart on the same chromosome, or on different chromosomes Linkage mapping involves determining the genetic distance between various genetic markers

3 Genetic markers Marker: “Any polymorphic Mendelian character that can be used to follow a chromosomal segment though a pedigree” Phenotypic vs. molecular Examples of molecular markers – RFLP, AFLP, RAPD, microsatellite (aka simple sequence repeats, SSR), SNP Dominant vs. codominant MM Mm mm MM mm

4 Genetic distance Measured in map units, or centimorgans (cM) Distance in which there is one recombination in every 100 meioses X

5 Genetic distance Recombination frequencies don’t exceed 50% Double recombinants are possible from Thomas Hunt Morgan's 1916 ''A Critique of the Theory of Evolution'', page 132,Thomas Hunt Morgan obtained from http://en.wikipedia.org/wiki/File: Morgan_crossover_2.jpg

6 Genetic distance Recombination frequencies don’t exceed 50% Double recombinants are possible http://nitro.biosci.arizona.edu/courses/EEB320-2005/Lecture14/pics/haldane.GIF

7 Mapping functions Need to relate recombination fraction with mapping distance Haldane’s mapping function (1919) Kosambi’s mapping function (1944) http://nitro.biosci.arizona.edu/courses/EEB320-2005/Lecture14/pics/haldane.GIF

8 Mapping functions Interference: crossing over at one point reduces the probability of crossing over nearby Haldane’s mapping function (1919) – Assumes no interference Kosambi’s mapping function (1944) – Adjusts for interference

9 Mapping Relationship between genetic distance and physical distance is not constant (variation in cM/ MB) Recombination hotspots Mapping distances may vary between sexes

10 (a) Male- and female-specific autosomal recombination linkage map of great reed warbler (based on 43 microsatellite markers) Hansson B. et.al. Proc. R. Soc. B 2005;272:2289-2298 ©2005 by The Royal Society http://en.wikipedia.org/wiki/ File:Reed_warbler_cuckoo.jpg

11 Mapping Relationship between genetic distance and physical distance is not constant (variation in cM/ MB) Recombination hotspots Mapping distances may vary between sexes Distinction between linkage groups and chromosomes

12 Mapping with phenotypic markers Marker 1 % Recombination ± standard error or (Number of progeny analysed) Marker 2 aromC20 [estimate]acuJ aromC26 [estimate]trpB sconB715acuJ211 sconB724galD5 acuJ2113.7 (450)fpaB37 http://www.gla.ac.uk/ibls/molgen/aspergillus/maps.html

13 Genotypes vs. haplotypes Genotype: combination of alleles at one marker Haplotype: combination of alleles at multiple loci on a chromosome Genotypes leave some ambiguity about underlying haplotype, and whether recombination happened Marker informativeness

14 Linkage disequilibrium Linkage: close physical proximity between two loci Linkage disequilibrium: non-random association of alleles at two or more loci, not necessarily on the same chromosome Linkage disequilibrium can be caused by non- random mating, population structure, as well as physical linkage

15 Mapping crosses and pedigrees Crosses and pedigrees create linkage disequilibrium over large distances Fewer markers are needed Examples – F2 – Backcross – Pedigree

16 How do you map? Use software! E.g., crimap Use genome sequence as a guide Use other species as a guide Start with 2-point comparisons between pairs of markers

17 Statistical concepts Likelihood LOD score – logarithm of the odds LOD = log10( probability of observed data if there is linkage with  = x ) probability of observed data if there is no linkage,  = 0.5 Maximum likelihood


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