Path Weights, Networked Partial Correlations and their Application to the Analysis of Genetic Interactions

Path Weights, Networked Partial Correlations and their Application to the Analysis of Genetic Interactions
Alberto Roverato, Robert Castelo

Gene coexpression is a common feature employed in predicting buffering relationships that explain genetic interactions, which constitute an important mechanism behind the robustness of cells to genetic perturbations. The complete removal of such buffering connections impacts the entire molecular circuitry, ultimately leading to cellular death. Coexpression is commonly measured through Pearson correlation coefficients. However, Pearson correlation values are sensitive to indirect effects and often partial correlations are used instead. Yet, partial correlation values convey no information on the (linear) influence of the association within the entire multivariate system or, in other words, of the represented edge within the entire network. Jones and West (2005) showed that covariance can be decomposed into the weights of the paths that connect two variables within the corresponding undirected network. Here we provide a precise interpretation of path weights and show that, in the particular case of single-edge paths, this interpretation leads to a quantity we call networked partial correlation whose value depends on both the partial correlation between the intervening variables and their association with the rest of the multivariate system. We show that this new quantity correlates better with quantitative genetic interactions in yeast than classical coexpression measures.

Disruption of endosperm development is a major cause of hybrid seed inviability between Mimulus guttatus and M. nudatus

Disruption of endosperm development is a major cause of hybrid seed inviability between Mimulus guttatus and M. nudatus

Elen Oneal, John H. Willis, Robert Franks

A practical guide to de novo genome assembly using long reads

A practical guide to de novo genome assembly using long reads

Mahul Chakraborty, James G. Baldwin-Brown, Anthony D. Long, J.J. Emerson

Viruses are a dominant driver of protein adaptation in mammals

Viruses are a dominant driver of protein adaptation in mammals

David Enard, Le Cai, Carina Gwenapp, Dmitri A Petrov

Gene tree discordance causes apparent substitution rate variation

Gene tree discordance causes apparent substitution rate variation

Fabio K. Mendes, Matthew W. Hahn

Reconstructing Genetic History of Siberian and Northeastern European Populations

Reconstructing Genetic History of Siberian and Northeastern European Populations

Anton Valouev, Emily HM Wong, Andrey Khrunin, Larissa Nichols, Dmitry Pushkarev, Denis Khokhrin, Dmitry Verbenko, Oleg Evgrafov, James Knowles, John Novembre, Svetlana Limborska

Quantification of the effect of mutations using a global probability model of natural sequence variation

Quantification of the effect of mutations using a global probability model of natural sequence variation
Thomas A. Hopf, John B. Ingraham, Frank J. Poelwijk, Michael Springer, Chris Sander, Debora S. Marks

Modern biomedicine is challenged to predict the effects of genetic variation. Systematic functional assays of point mutants of proteins have provided valuable empirical information, but vast regions of sequence space remain unexplored. Fortunately, the mutation-selection process of natural evolution has recorded rich information in the diversity of natural protein sequences. Here, building on probabilistic models for correlated amino-acid substitutions that have been successfully applied to determine the three-dimensional structures of proteins, we present a statistical approach for quantifying the contribution of residues and their interactions to protein function, using a statistical energy, the evolutionary Hamiltonian. We find that these probability models predict the experimental effects of mutations with reasonable accuracy for a number of proteins, especially where the selective pressure is similar to the evolutionary pressure on the protein, such as antibiotics.

Evolution of increased larval competitive ability in Drosophila melanogaster without increased larval feeding rate

Evolution of increased larval competitive ability in Drosophila melanogaster without increased larval feeding rate

Manaswini Sarangi, Archana Nagarajan, Snigdhadip Dey, Joy Bose, Amitabh Joshi

Dissecting the genetic basis of a complex cis-regulatory adaptation

Dissecting the genetic basis of a complex cis-regulatory adaptation

Santiago Naranjo, Justin Smith, Carlo Artieri, Mian Zhang, Yiqi Zhou, Michael Palmer, Hunter Fraser

Major improvements to the Heliconius melpomene genome assembly used to confirm 10 chromosome fusion events in 6 million years of butterfly evolution

Major improvements to the Heliconius melpomene genome assembly used to confirm 10 chromosome fusion events in 6 million years of butterfly evolution

John Davey, Mathieu Chouteau, Sarah L. Barker, Luana Maroja, Simon W. Baxter, Fraser Simpson, Mathieu Joron, James Mallet, Kanchon K. Dasmahapatra, Chris D. Jiggins