Effector diversification within compartments of the Leptosphaeria maculans genome affected by repeat induced point mutations
Rouxel, T. ; Grandaubert, J. ; Hane, J.K. ; Hoede, C. ; Wouw, A. ; Couloux, A. ; Dominguez, V. ; Anthouard, V. ; Bally, P. ; Bourras, S. ; Cozijnsen, A.J. ; Ciuffetti, L.M. ; Degrave, A. ; Dilmaghani, A. ; Duret, L. ; Fudal, L. ; Goodwin, S.B. ; Gout, L. ; Glaser, N. ; Linglin, J. ; Kema, G.H.J. ; Lapalu, N. ; Lawrence, C.B. ; May, K. ; Meyer, M. ; Ollivier, B. ; Poulain, J. ; Schoch, C.L. ; Simon, A. ; Spatafora, J.W. ; Stachowiak, A. ; Turgeon, B.G. ; Tyler, B.M. ; Vincent, D. ; Weissenbach, J. ; Amselem, J. ; Quesneville, H. ; Oliver, R.P. ; Wincker, P. ; Balesdent, M.H. ; Howlett, B.J. - \ 2011
Nature Communications 2 (2011). - ISSN 2041-1723 - p. 202 - 202.
transposable elements - molecular evolution - pathogen effectors - brassica-napus - gene-transfer - oilseed rape - stem canker - avirulence - plant - fungal
Fungi are of primary ecological, biotechnological and economic importance. Many fundamental biological processes that are shared by animals and fungi are studied in fungi due to their experimental tractability. Many fungi are pathogens or mutualists and are model systems to analyse effector genes and their mechanisms of diversification. In this study, we report the genome sequence of the phytopathogenic ascomycete Leptosphaeria maculans and characterize its repertoire of protein effectors. The L. maculans genome has an unusual bipartite structure with alternating distinct guanine and cytosine-equilibrated and adenine and thymine (AT)-rich blocks of homogenous nucleotide composition. The AT-rich blocks comprise one-third of the genome and contain effector genes and families of transposable elements, both of which are affected by repeat-induced point mutation, a fungal-specific genome defence mechanism. This genomic environment for effectors promotes rapid sequence diversification and underpins the evolutionary potential of the fungus to adapt rapidly to novel host-derived constraints
The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model
Kuiper, W.E. ; Cozijnsen, A.J. - \ 2011
Computational Economics 37 (2011)4. - ISSN 0927-7099 - p. 331 - 362.
global optimization - inference - spaces
We outline a new estimation method for the multinomial probit model (MNP). The method is a differential evolution Markov chain algorithm that employs a Metropolis-within-Gibbs sampler with data augmentation and the Geweke–Hajivassiliou–Keane (GHK) probability simulator. The method lifts the curse of dimensionality in numerical integration as it neither requires simulation of the whole likelihood function nor the computation of its analytical or numerical derivatives. The method is applied to an unbalanced panel dataset of firms from the German business-related service sector over the period 1994–2000. In spite of its less restricted character, the MNP model is found not to provide more accurate estimates for explaining the performance of these firms than the multinomial logit model