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Chromosome structure, function and implications for inheritance: segregation, independent assortment and linkage ATGGGCACTGCCACT R r Source: plant-genetics.kais.kyoto-u.ac.jp
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A chromosome is a single DNA molecule complexed with histone proteins
DNA is highly compacted: DNA + histone proteins = chromatin Nucleosome structure Source: abcam.com
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Chromosome numbering/naming
Numbering starts with the “largest” chromosome Source: ucl.ac.uk
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Chromosome landmarks Centromere(s) Source: nature.com
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Chromosome landmarks Telomere(s) Source: conciergemedicinela.com
Source: jyi.org
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Heterochromatin and euchromatin
The degree of compactness of DNA - implications for degree of gene expression Duggan, N. M. & Tang, Z. I. (2010) The Formation of Heterochromatin. Nature Education 3(9):5
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Heterochromatin and euchromatin
Heterochromatin: highly compact, inaccessible for transcription, and less likely to contain highly expressed genes Constitutive: ~ Always compact Facultative: varying degrees of compactness depending on individual, developmental stage Implications for epigenetics Euchromatin: relaxed, accessible, and more likely to contain expressed genes
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Mitosis and Meiosis Mitosis: 2n 2n Meiosis 2n n
Mitosis: 2 identical daughter cells Meiosis: 4 daughter cells, which may be genetically different Mitosis: zygote until death Meiosis: specialized cells V v V V V v V v v v V v Mitosis Meiosis
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The cell cycle G1: RNA and protein synthesis, but no DNA replication
S: DNA synthesis. The total DNA content goes from 2n to 4n G2: After DNA synthesis and before mitosis. At this point a diploid cell contains two complete diploid sets of chromosomes M: Mitosis
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Mitosis
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Mitosis: Example: Maize; 2n=2x=20 Prophase: Chromatin contracts
Mitosis: Example: Maize; 2n=2x=20 Prophase: Chromatin contracts. Each chromosome consists of two sister chromatids. One is "original" chromosome, other is copy made during S phase. Chromatids held together at centromere. At late Prophase, attachment of spindle fibers to centromeric region and dissolution of nuclear membrane. Continued contraction of paired chromatids. 20 sets of 2 sister chromatids = 40 chromatids. Metaphase: Orientation of paired chromatids on Metaphase "plate". 20 sets of sister chromatids aligned on plate = 40 chromatids.
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Mitosis: Example: Maize; 2n=2x=20 Anaphase: Sister chromatids migrate to opposite poles. Separation of sister chromatids accomplishes the equal distribution of chromosomal material. 20 chromatids migrate to each pole. Telophase: Single chromatids, or at this point, chromosomes, return to the relaxed Interphase state. Cytokinesis divides original cell into two daughter cells. Two cells, each with 10 pairs of chromosomes = 20 chromosomes per cell. Maize : 2n=2x=20
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Telomere shortening during mitosis
Telomeres: Repetitive DNA sequences at ends of chromosomes. Each time the cell divides, the telomere shortens. Eventually, the chromosomes become "so frayed that the cell senesces". In some cells- eggs, sperm, and cancer cells - an enzyme known as telomerase allows for "reconstruction" of the telomere, thus prolonging cell life.
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Development of the male gametophyte
Pollen mother cell (PMC) PMC undergoes meiosis Meiosis gives a tetrad of microspores Note, this is different than ♀
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Development of the female gametophyte
Megaspore mother cell (MMC) MMC undergoes meiosis Of 4 megaspores produced 1 survives (most species) Three post-meiotic mitoses 1 2 3
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Meiosis 1 Prophase (5 stages)
Leptonema: Longitudinal duality of chromosomes not discernible. Zygonema: Pairing of homologous chromosomes. Formation of synaptonemal complex and zygotene DNA synthesis. Pachynema: Pairing persists: synaptonemal complex + crossovers. Bivalent = 2 homologous chromosomes = 2 sets of 2 chromatids. Crossing over occurs (chiasma; chiasmata). Diplonema: Synaptonemal complex dissolves; visualize longitudinal duality. Diakinesis: Continued bivalent contraction.
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Meiosis 1 Metaphase I: Bivalents appear on the Metaphase plate. The random alignment of non-homologous chromosomes is the basis of independent assortment. Anaphase I: The physical separation of homologous chromosomes is the basis of segregation. Telophase I. Each pole receives one-half of the original chromosome number of the meiocyte, i.e. one set of chromosomes in the case of diploidy.
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Meiosis 2 Prophase II. Chromatin condensation
Metaphase II. Chromosomes align on Metaphase plate Anaphase II. Sister chromatids go to opposite poles Telophase II. Cytokinesis: Tetrad
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Key differences between mitosis and meiosis
Meiosis: Homologous chromosomes pair and separate at Anaphase I; sister chromatids separate at Anaphase II Mitosis: No pairing of homologous chromosomes Meiosis: Crossing over may generate new configurations at alleles at linked loci Mitosis: A special case Meiosis: 4 daughter cells, which may be genetically different Mitosis: 2 identical daughter cells Meiosis 2n to n Mitosis is 2n to 2n
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Key differences between mitosis and meiosis
Meiosis: occurs in specialized cells (megaspore mother cell (MMC); pollen mother cell (PMC) Mitosis: occurs from the zygote stage onward through the life of the organism V v V V V v V v v v V v
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Linkage The association of two or more phenotypic characters in inheritance because the genes controlling these characters are located in the same chromosome The closer the gene locations, the stronger the association Genes carried by the same chromosome are members of the same linkage group The number of possible linkage groups (assuming sufficient marker loci and no major blocks of monomorphism) corresponds, therefore, to the “n” number of chromosomes in the organism in question Plant 2n = _X = _ Arabidposis thaliana 2n = 2x = 10 Fragaria vesca 2n = 2x = 14 Theobroma cacao 2n = 2x = 20 Zea mays
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Linkage Complete: Pairs of loci are so close together that crossing over rarely occurs and recombinant types are generally not recovered Partial: Pairs of loci are sufficiently far apart that some recombinant types are recovered
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Linkage Crossing over refers to the physical exchange between homologous chromosomes Recombination is the genetic result of crossing over and is detected by new combinations of alleles at two or more loci Genetic variability New combinations of alleles at linked loci Intra-genic recombination
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Meiosis Prophase I Leptonema: Zygonema: Pairing of homologous chromosomes. Formation of synaptonemal complex and zygotene DNA synthesis Pachynema: Pairing persists: synaptonemal complex + crossovers. Bivalent = 2 homologous chromosomes = 2 sets of 2 chromatids. Crossing over occurs (chiasma; chiasmata) Diplonema: Diakinesis:
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Linkage Terms describing the allelic condition at linked loci cis aka coupling trans aka repulsion A……..B a……..b A……..b a……..B
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Keys points in non-sister chromatid exchange:
Linkage Keys points in non-sister chromatid exchange: Crossing over does not involve loss or addition of chromatin Only two chromatids are involved in any single crossover event There may be multiple crossovers between non-sister chromatids Any combination of crossover configurations can occur, and the outcome of such configurations can be radically different
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Linkage Types of Crossovers Single crossover 2-strand double crossover
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Linkage Factors affecting meiotic crossing over Sex chromosomes
Position on chromosome
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Linkage OWB Dominant 2-row; normal starch; hulled grain; long awns
VV WW NNLL V N L W Locus abbreviations and alleles Vrs1 = V: V, v GBSS = W: W,w Nud = N: N,n LKs2 = L: L,l OWB Recessive 6-row; waxy starch; naked grain; short awns vv ww nnlll v n l w
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Linkage Alleles at all loci: segregation
V on a different chromosome than W, N, and L: therefore alleles at V show independent assortment with those at W, N, and L W, N, L on same chromosome: Therefore potential for linkage W “far enough” from N and L to show no linkage (independent assortment) N and L close enough to show linkage N L W n l w V v OWB Dominant 2-row; normal starch; hulled grain; long awns VV WW NNLL OWB Recessive 6-row; waxy starch; naked grain; short awns vv ww nnlll
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Independent assortment and recombination could lead to an entirely new combination of traits: 2-row; waxy starch; hulled grain; short awn OWB Dominant 2-row; normal starch; hulled grain; long awns VVWWNNLL V x N L W v n l w OWB Recessive 6-row; waxy starch; naked grain; short awns vvwwnnll v V F1 n l N L w W
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Meiosis 1 & Crossing Over – Cell 1
w v W V N L Pairing and crossing over n l w v W V N L Anaphase I v V v v V V Pre-meiotic Heterozygous parent After DNA replication w W w w W W n N n n N N l L l l L L
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Meiosis 2 & Crossing Over – Cell 1
Anaphase II N L w v W V V W n l v w n l N L W V Non-Recombinant 2row, non-waxy, hulled, long awn N L w v Recombinant 6row, waxy, hulled, long awn n l W V Recombinant 2row, non-waxy, naked, short awn n l w v Non-Recombinant 6row, waxy, naked, short awn
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Meiosis 1 & Crossing Over – Cell 2
w W N L v V Pairing and crossing over n l w W N L v V Anaphase I Pre-meiotic Heterozygous parent After DNA replication w W w w W W n N n n N N l L l l L L
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Doubled Haploid Phenotypes
2row, non-waxy, hulled, long awn N L W V Non-Recombinant N L W V 6row, waxy, hulled, long awn N L w v Recombinant N L w v 2row, non-waxy, naked, short awn n l W V Recombinant n l W V 6row, waxy, naked, short awn n l w v Non-Recombinant n l w v 2row, waxy, naked, short awn n l w V Non-Recombinant n l w V 6row, non-waxy, naked, short awn n l W v Recombinant n l W v 2row, waxy, hulled, short awn N L w V Recombinant N L w V 6row, non-waxy, hulled, long awn Non-Recombinant N L W v N L W v
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Dihybrid Ratio for Doubled Haploids (2/4 loci)
Gametes VW Vw vW vw DH VVWW VVww vvWW vvww Class Non-recombinant Recombinant Non-Recombinant 1 0.25 Note: The “recombinant “ types in this case (between the V and W loci) are not due to crossovers. They are due to random alignment of paired homologous chromosomes at Metaphase I
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Linkage Test – V and W Gametes VW Vw vW vw DH VVWW VVww vvWW vvww Non-recombinant Recombinant Non-Recombinant 0.25 Expected 20.5 Observed 20 15 25 22 (O-E)2/E 0.012 1.476 0.988 0.110 2[3] = 2.586; P=0.460; Null hypothesis of no linkage accepted Independent Assortment : Loci are on different chromosomes Random alignment of chromosomes at Metaphase 1
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Linkage Test – W and N Gametes WN Wn wN DH WWNN WWnn wwNN wwnn Non-recombinant Recombinant Non-Recombinant 0.25 Expected 20.5 Observed 27 18 13 24 (O-E)2/E 2.061 0.305 2.744 0.598 2[3] = 5.707; P=0.128; Null hypothesis of no linkage accepted Independent Assortment: Sufficient crossovers between loci far enough apart on same chromosome
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Linkage Test – W and L Gametes WL Wl wL wl DH WWLL WWll wwLL wwll Non-recombinant Recombinant Non-Recombinant 0.25 Expected 20.5 Observed 26 19 20 17 (O-E)2/E 1.476 0.110 0.012 0.598 2[3] = 2.195; P=0.533; Null hypothesis of no linkage accepted Independent Assortment: Sufficient crossovers between loci far enough apart on same chromosome
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Linkage - Test N and L Gametes NL Nl nL nl DH NNLL NNll nnLL nnll Non-recombinant Recombinant Non-Recombinant 0.25 Expected 20.5 Observed 37 3 9 33 (O-E)2/E 13.280 14.939 6.451 7.622 2[3] = ; P=<0.001; Null hypothesis of no linkage rejected Not Independent Assortment = linkage Few crossovers between loci close together on same chromosome
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Recombination percentage
DH NNLL NNll nnLL nnll Non-recombinant Recombinant Non-Recombinant Observed 37 3 9 33 Parentals (Non-recombinants) >> Recombinants = linkage Linkage is calculated as the total recombinant types/ total population size (9+3)/( ) = 12/82 = = 14.6% “The association of two or more phenotypic characters in inheritance because the genes controlling these characters are located in the same chromosome” N L 14.6
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N L 14.6
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Recombination, double crossovers and map distances
% recombination values are biased due to double crossovers Double crossovers can give parental combinations of alleles and therefore underestimate the % recombination at values of ~ 10% recombination and higher At values of ~ 10% recombination and lower double crossovers occur less often than expected % recombination values are not additive: the maximum of recombination is 50% Therefore the centiMorgan (cM) – a computed value derived from the observed % recombination
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CentiMorgans (cM) Distance (cM) Haldane =-0.5*LN(1-2*r)
Distance (cM) Kosambi=0.25*LN((1+2*r)/(1-2*r)) The centiMorgan is a unit of distance without a physical basis: the ratio of cM to base pairs can vary enormously across the genome
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CentiMorgans (cM) Distance (cM) Haldane =-0.5*LN(1-2*r)
Distance (cM) Kosambi=0.25*LN((1+2*r)/(1-2*r))
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Three Point Linkage Test
rWN=0.39 rNL=0.14 N L W rWL=0.48 The recombination frequency over the interval W – L (rWL) is greater than either rWN or rNL therefore W and L are the two loci furthest apart and N is likely to lie between them. N is likely to be closer to L as rWN > rNL.
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Making Linkage Maps Linkage analysis is now an "automated" procedure: data on thousands, tens of thousands of loci Key issues in linkage map construction are locus order and distance The likelihood odds (LOD) score is a test statistic that is used to test the hypothesis that there is no linkage LOD of 3.00 is approximately equal to P ~ .001 LOD > 3 then one concludes that two loci are indeed linked.
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Value of Genetic Linkage Maps within-species
Determine order of loci in the chromosome Determine how likely it is that non-parental combinations of alleles at linked loci will be obtained Determine if trait relationships are due to linkage or pleiotropy Create complete linkage maps (average ~ 100 cM/chromosome) where # chromosomes (n level) = number of linkage groups Build platforms for Cloning genes Anchoring whole genome sequences Identifying genes controlling quantitative traits
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Value of linkage maps within-species Graphical Genotypes
Key points Alleles at all loci coded as to parental origin No heterozygotes in this data set; if there were, they would be coded AB Crossovers are only detected in regions where that individual is polymorphic; crossovers in monomorphic regions not detectable Double crossovers between loci closer than 10cM may be due to errors in allele calling – therefore may be replace by “-” indicting missing data
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Anchoring the genome sequence to the genetic map
Value of linkage maps Anchoring the genome sequence to the genetic map 94% of scaffolds anchored to the diploid Fragaria reference linkage map using 390 genetic markers Pseudochromosomes ~ linkage groups
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DNA (molecular) markers Linkage mapping, quantitative trait locus (QTL) mapping, anchoring genome sequences
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Applications of Markers
Are trait associations due to linkage or pleiotropy? Identify markers that can be used in marker assisted selection Locate genes for qualitative and quantitative traits A starting point for map-based cloning strategies
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Markers are based on polymorphisms
Amplified fragment length polymorphism Restriction fragment length polymorphism Single nucleotide polymorphism The polymorphisms become the alleles at marker loci The marker locus is not necessarily a gene: the polymorphism may be in the dark matter, in a UTR, in an intron, or in an exon Non-coding regions may be more polymorphic Molecular markers are abundant
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Marker polymorphisms are based on
mutations Silent *** CTG GGA GAT TAT GGC TTT AAG*** *** CTG GGA GAT TAT GGC TTC AAG*** alignment Leu Gly Asp Tyr Gly Phe Lys Leu Gly Asp Tyr Gly Phe Lys translation Missense *** CTG GGA GAT TAT GGC TAT AAG*** alignment Leu Gly Asp Tyr Gly Tyr Lys translation Nonsense *** CTG GGA GAT TAG GGC TTT AAG*** alignment Leu Gly Asp Tyr Gly Phe Lys Leu Gly Asp STOP translation
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Markers Polymorphisms can be visualized at the metabolome, proteome, or transcriptome level but for a number of reasons (both technical and biological) DNA-level polymorphisms are currently the most targeted Regardless of whether it is a “perfect” or a “linked” DNA marker, there are two key considerations that need to be addressed in order for the researcher/user to visualize the underlying genetic polymorphism
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DNA Markers Finding and understanding the genetic basis of the DNA-level polymorphism, which may be as small as a single nucleotide polymorphism (SNP) or as large as an insertion/deletion (INDEL) of thousands of nucleotides Detecting the polymorphism via a specific assay or "platform". The same DNA polymorphism may be amenable to different detection assays
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Marker examples: Simple Sequence Repeats (SSRs)
Simple sequence repeats (SSRs) (aka microsatellites) are tandemly repeated mono-, di-, tri-, tetra-, penta-, and hexa-nucleotide motifs SSR length polymorphisms are caused by differences in the number of repeats Assayed by PCR amplification using pairs of oligonucleotide primers specific to unique sequences flanking the SSR Multiple platforms
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Simple Sequence Repeats (SSRs)
Marker examples Simple Sequence Repeats (SSRs) Simple sequence repeats in hazelnut: Note the differences in repeat length AND the consistent flanking sequences mind42.com
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Marker examples Simple Sequence Repeats (SSRs)
Highly polymorphic Highly abundant and randomly dispersed Co-dominant Locus-specific Amenable to high throughput assays
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SSR Concept Individual 1 (AC)x9 Individual 2 (AC)x11 51 bp 55 bp
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Marker examples: Single Nucleotide Polymorphisms (SNPs)
DNA sequence variations that occur when a single nucleotide (A, T, C, or G) in the genome sequence is altered Alleles Single Nucleotide Polymorphisms (SNPs) …..ATGCTCTTACTGCTAGCGC…… …..ATGCTCTTCCTGCTAGCGC…… …..ATGCTCTTACTGCAAGCGC…… Consensus…..ATGCTCTTNCTGCNAGCGC……
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Marker examples: SNPs Highly abundant (~ 1 every 200 bp)
Locus-specific Co-dominant and bi-allelic Basis for high-throughput and massively parallel genotyping technologies Connectivity to reference genome sequences
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SNP Detection Strategies
Locus specific systems Many samples with few markers Markers for key target characters Example: KASP Genome wide systems Fewer samples with many markers Germplasm characterization Genotyping panels for Genome Wide Association Studies Example: Illumina
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SNPs on KASP and Illumina 9K
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Why use markers rather than whole genome sequences?
A way of addressing plant genetics and breeding challenges: The large number of genes per genome Huge genome sizes Often a subset of the total genome is of interest
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available for every plant !!!!!
Abundant markers are available for every plant !!!!!
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Applications of Markers
Establish evolutionary relations: homoeology and synteny
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Marker applications: Construct linkage maps to find
Quantitative Trait Loci (QTLs) Genetic determinants of quantitative variation Loci that determine, or are associated with loci that determine, variation in a phenotype
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