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GSR The Gene Sequence evolution model with iid Rate variation over tree Örjan Åkerborg, KTH Lars Arvestad, KTH Jens Lagergren, KTH Bengt Sennblad
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What? Gene evolution through duplication and loss Sequence evolution
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Why? Base reconciliation analysis directly on data –Avoid information loss –Addresses uncertainty better Gene tree reconstruction should mirror generation
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When? Arvestad et al. 2003, –MrBayes + GEM –Flawed model
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60s ribosomal data
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Arvestad et al. 2003, –MrBayes + GEM –Flawed model Arvestad et al. 2004 –Intergrated GEM + Substitution model –Mathematically correct model –Molecular clock –Sampling algorithm - slow When?
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MHC revisited
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Åkerborg et al. Submitted (GSR) –Integrated GEM + SRT model When? Arvestad et al. 2003, –MrBayes + GEM –Flawed model Arvestad et al. 2004 –Intergrated GEM + Substitution model –Mathematically correct model –Molecular clock –Sampling algorithm - slow
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How? GSR –GEM Reconciled trees – duplication and loss –SRT Relaxed clock model (iid) Substitution model –Fast algorithm Discretized time space
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Trees, T Sequence data, F Pr[D,T] Self-consistency
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Self-consistency – the X%-test
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Application to Yeast data Compare to prev. Results –YGOB –Orthogrups (SYNERGY) Both synteny-based
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Synteny -- gene order
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Application to Yeast data Compare to prev. Results –YGOB –Orthogrups (SYNERGY) Both synteny-based –Whole genome duplication Challenge! Genome-wide analysis! –4809 gene families (orthogroups)
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Comparison YGOB results
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Molecular clock?
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Comparison SYNERGY results
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Sequence vs. synteny data No sequence diff –36% of data sets are >85% similar Strong divergence –25% of data set are <40% similar –Long-branch attraction Conflicting sequence-synteny signal
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Sequence vs. synteny data
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Orthogroup 3176 42.4 % Single best SYNERGY tree 21.6 % 31.6 %
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Summary primeGSR –Integrated model Reconciliation – gene duplication loss Relaxed clock Sequence evolution –Efficient algorithms –Improved gene tree reconstruction Future prospects –Divergence time estimates (MAP) –Species tree reconstruction –Include synteny
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