scholarly journals Ancestral inference in tumors: How much can we know?

2014 ◽  
Vol 359 ◽  
pp. 136-145 ◽  
Author(s):  
Junsong Zhao ◽  
Kimberly D. Siegmund ◽  
Darryl Shibata ◽  
Paul Marjoram
Keyword(s):  
1994 ◽  
Vol 9 (3) ◽  
pp. 307-319 ◽  
Author(s):  
R. C. Griffiths ◽  
Simon Tavare

1978 ◽  
Vol 42 (1) ◽  
pp. 95-108 ◽  
Author(s):  
E. A. Thompson ◽  
C. Cannings ◽  
M. H. Skolnick
Keyword(s):  

2004 ◽  
Vol 36 (2) ◽  
pp. 434-454 ◽  
Author(s):  
Maria De Iorio ◽  
Robert C. Griffiths

De Iorio and Griffiths (2004) developed a new method of constructing sequential importance-sampling proposal distributions on coalescent histories of a sample of genes for computing the likelihood of a type configuration of genes in the sample by simulation. The method is based on approximating the diffusion-process generator describing the distribution of population gene frequencies, leading to an approximate sample distribution and finally to importance-sampling proposal distributions. This paper applies that method to construct an importance-sampling algorithm for computing the likelihood of samples of genes in subdivided population models. The importance-sampling technique of Stephens and Donnelly (2000) is thus extended to models with a Markov chain mutation mechanism between gene types and migration of genes between subpopulations. An algorithm for computing the likelihood of a sample configuration of genes from a subdivided population in an infinitely-many-alleles model of mutation is derived, extending Ewens's (1972) sampling formula in a single population. Likelihood calculation and ancestral inference in gene trees constructed from DNA sequences under the infinitely-many-sites model are also studied. The Griffiths-Tavaré method of likelihood calculation in gene trees of Bahlo and Griffiths (2000) is improved for subdivided populations.


2004 ◽  
Vol 66 (3) ◽  
pp. 219-232 ◽  
Author(s):  
Graham Coop ◽  
Robert C. Griffiths

1978 ◽  
Vol 42 (2) ◽  
pp. 239-253 ◽  
Author(s):  
E. A. THOMPSON
Keyword(s):  

2017 ◽  
Author(s):  
Miriam Kaltenbach ◽  
Jason R. Burke ◽  
Mirco Dindo ◽  
Anna Pabis ◽  
Fabian S. Munsberg ◽  
...  

AbstractThe emergence of catalysis in a non-catalytic protein scaffold is a rare, unexplored event. Chalcone isomerase (CHI), a key enzyme in plant flavonoid biosynthesis, is presumed to have evolved from a non-enzymatic ancestor related to the widely-distributed fatty-acid binding proteins (FAPs) and a plant protein family with no isomerase activity (CHILs for “CHI-like”). Ancestral inference confirmed that CHI evolved from a protein lacking isomerase activity. We also identified four alternative founder mutations, i.e. mutations that individually instated activity, including a mutation that is not phylogenetically traceable. Despite strong epistasis in other cases of protein evolution, CHI’s laboratory reconstructed mutational trajectory shows weak epistasis. Thus, enantioselective CHI activity can readily emerge despite a catalytically inactive starting point. X-ray crystallography, NMR, and MD simulations reveal reshaping of the active site toward a productive substrate-binding mode and repositioning of the catalytic arginine that was inherited from the ancestral fatty-acid binding proteins.


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