Lecture 6 + 7.docx

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Department
Ecology & Evolutionary Biology
Course
EHJ352H1
Professor
Stephen Wright
Semester
Fall

Description
Lecture 6:  Human-chimp divergence 4-7 mya  Human-chimp comparison:  Human chromosome 2 resulted from a fusion of two ancestral chromosomes that remained separate in the chimp lineage  Human-chimp differ by at least 9 pericentric inversions  Single nucleotide substitutions occur at a rate of 1.23% between copies of human and chimp genome  Fixed divergence is estimated to be less than 1.06%  Why are fixed divergence less than the SNP rate?  Within-species polymorphism where 2 different copies of the human genome (or 2 copies of the chimp genome) will not be identical.  To estimate the true difference between humans and chimps, we must account for diversity within each species  INDELs: insertions or deletion events  There are many fewer INDEL differences than nucleotide differences: 10 million INDELS  Most are small (45% cover one bp, 96% < 20 bp) but the largest few contain the most sequence  Largest 1.5% of indels contain around 73% of affected bps  These indels result in each species containing 45 Mb of species-specific euchromatic sequence. This causes around 3% of difference in sequence that is much larger than the 1% nucleotide divergence  Large INDELs account for the bulk of lineage-specific sequence in the two genomes  Nucleotide divergence:  There is quite a bit of variation in divergence among regions within chromosomes  Junk DNA where mutations can accumulate  Due to genetic drift different coalescence times  Selection increases divergence  Large difference between sex  Sex differences in mutation:  Number of cell divisions is 5-6 fold times greater for males than females  Y-chromosome has larger human-chimp divergence than autosomes  X-chromosome has lower human-chimp divergence than autosomes  X chromosome: There are 3 X chromosomes in total between a female and a male  Female: 2 out of 3 of the X chromosomes  Male: 1 out of 3 of the X chromosomes  Y chromosome: 100% in all males  Male sex chromosome mutations is 5 times higher than female mutation rate  Mutations arise from replication errors and also from DNA damage (and repair)  CpG sites experience a high rate of damage (deamination from methyl CpG to TpG)  CpG: where C and G are together  TpG: where T and G are together  CpG to TpG mutation rate is 10-50 times higher than other transitions  CpG sites mutation is driven by damage and not cell division (replication), it should show less difference between genders  CpG mutation alpha constant is only 2  Thus males have a higher mutation rate due to cell division since CpG alpha value is only 2  Divergence in protein-coding genes  13,454 pairs of chimp and human genes match exactly  There are 20 amino acids  Codons: triplets of nucleotide bases that spell the code for amino acids  4^3 = 64 possible triplets that allow degeneracy: structurally dissimilar components/modules/pathways can perform similar functions  Standard genetic code has 3 STOP codons  Point mutation within an exon: synonymous, non-synonymous(missense) and nonsense  Point mutation in non-coding DNA: silent mutation  Synonymous site divergence (Ks) is thought to reflect neutral substitution rate  Replacement sites divergence (KA) reflects rate of protein evolution  Change in peptide sequence can affect protein function  May be influenced by natural selection  For a given gene Ks acts as an “internal neutral control”  Different genes might experience slightly different mutation rates  Ks will quantify those differences  Protein evolution relative to “neutral” standard: KA/Ks  Neutrality: KA = Ks, so KA/Ks =1  Purifying (negative) selection results in slower substitution rate at selected sites than neutral sites: KA/Ks <1  Positive selection results in faster substitution rate at selected sites than neutral sites: KA/Ks >1 is possible due to elevation of KA  Fourfold degenerate site: any nucleotide at this position specifies the same amino acid. The third position of the glycine codons (GGA, GGG, GGC, GGU) is a fourfold degenerate site, because all nucleotide substitutions at this site are synonymous. Only the third positions of some codons may be fourfold degenerate  Twofold degenerate site: two of four possible nucleotides at this position specify the same amino acid. The third position of the glutamic acid codons (GAA, GAG) is a twofold degenerate site.  Number of synonymous sites = 1/3 n2 + n4  Number of replacement sites = n0 +2/3n2 = n-ns (Just know that the to find Ks, find the number of differences in sequences between humans and chimps in synonymous sites.  To find K observed, find the number of differences in sequences between humans and chimps in non-synonymous sites.  Human-Chimp Protein Divergence:  29% of genes are identical at the protein level  On average around 2 non-synonymous and around 3 synonymous substitutions per gene  Around 5% of proteins show in-frame INDELs (average size is 1 codon) usually in repetitive regions  KA/Ks = 0.23  Non-synonymous sites evolve at 23% as fast as synonymous sites: more synonymous mutations  If synonymous sites evolve at the neutral rate, then we might infer that 23% of non- synonymous substitutions are (effectively) neutral and evolving in the same rate as the synonymous sites, and the remaining 77% are constrained by selection  Constraint (by selection) = 1- (observed rate)/(neutral rate)  Assumptions: 1. Ks reflects the neutral rate 2. All non-synonymous substitutions are effectively neutral (negligible adaptive substitutions)  We usually naturally assume that the neural rate is high and the observed rate is low  If synonymous sites are also constrained, then we will under-estimate the level of constraint on non-synonymous sites  The neutral rate is actually smaller due to some synonymous sites being constrained due to selection, thus the actual constraint is higher. Thus we are under-estimating the constraint  We are underestimating the neutral rate (originally we thought that constraint due to neutral rate is zero, however there is some constraint on the neutral rate also) , thus we are underestimating the constraint on the non-synonymous sites since the constraint on neutral site is not zero, and thus relatively speaking non- synonymous sites constraints should be higher also.  If 10% of non-synonymous substitutions are actually due to adaptive substitutions, then we will under-estimate the level of selective constraint on non-synonymous sites.  We assume that all non-synonymous substitutions are due to random chance, however if 10% of them are due to adaptation then constraint is actually higher.  The observed rate due to constraint is actually lower, thus the actual constraint is higher.  The lower the observe
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