Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ivan G. Szendro"'
Autor:
Stefan Nowak, Johannes Neidhart, Ivan G. Szendro, Jonas Rzezonka, Rahul Marathe, Joachim Krug
Publikováno v:
Biology, Vol 7, Iss 1, p 6 (2018)
A long-standing problem in ageing research is to understand how different factors contributing to longevity should be expected to act in combination under the assumption that they are independent. Standard interaction analysis compares the extension
Externí odkaz:
https://doaj.org/article/1dbdebf09e044d0da2200e9e41756f24
Autor:
Lion van de Pol, Ivan G. Szendro, J. Arjan G. M. de Visser, Sungmin Hwang, Mark P. Zwart, Niek de Lange, M.F. Schenk, Bertha Koopmanschap, Tran Thi Thuy Nga, Joachim Krug
Publikováno v:
Heredity, 121(5), 406-421
Heredity
Heredity 121 (2018) 5
Heredity, 121, 406-421. The Genetics Society
Heredity
Heredity 121 (2018) 5
Heredity, 121, 406-421. The Genetics Society
While synonymous mutations were long thought to be without phenotypic consequences, there is growing evidence they can affect gene expression, protein folding, and ultimately the fitness of an organism. In only a few cases have the mechanisms by whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed68f23ad031cb6f6bcee48b12148201
https://research.wur.nl/en/publications/unraveling-the-causes-of-adaptive-benefits-of-synonymous-mutation
https://research.wur.nl/en/publications/unraveling-the-causes-of-adaptive-benefits-of-synonymous-mutation
Autor:
Joachim Krug, Ivan G. Szendro, Stefan Nowak, Johannes Neidhart, Jonas Rzezonka, Rahul Marathe
A long-standing problem in ageing research is to understand how different factors contributing to longevity should be expected to act in combination under the assumption that they are independent. Standard epistasis analysis compares the extension of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a73295237080d0004166d0f390796e40
https://doi.org/10.1101/147173
https://doi.org/10.1101/147173
Publikováno v:
Molecular Biology and Evolution
Molecular Biology and Evolution, 30(8), 1779-1787
Molecular Biology and Evolution 30 (2013) 8
Molecular Biology and Evolution, 30(8), 1779-1787
Molecular Biology and Evolution 30 (2013) 8
Understanding epistasis is central to biology. For instance, epistatic interactions determine the topography of the fitness landscape and affect the dynamics and determinism of adaptation. However, few empirical data are available, and comparing resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2b3a112d8b5db418cf543f3027eeca2
http://europepmc.org/articles/PMC3708503
http://europepmc.org/articles/PMC3708503
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 110(2), 571-576
Proceedings of the National Academy of Sciences of the United States of America 110 (2013) 2
Proceedings of the National Academy of Sciences of the United States of America 110 (2013) 2
To gauge the relative importance of contingency and determinism in evolution is a fundamental problem that continues to motivate much theoretical and empirical research. In recent evolution experiments with microbes, this question has been explored b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8e26cf1d6cce1403a78b0f18c90d271
https://doi.org/10.1073/pnas.1213613110
https://doi.org/10.1073/pnas.1213613110
Autor:
Johannes Neidhart, Rahul Marathe, Ivan G. Szendro, Joachim Krug, Stefan Nowak, Jonas Rzezonka
Publikováno v:
Biology, Vol 7, Iss 1, p 6 (2018)
Biology
Biology; Volume 7; Issue 1; Pages: 6
Biology
Biology; Volume 7; Issue 1; Pages: 6
A long-standing problem in ageing research is to understand how different factors contributing to longevity should be expected to act in combination under the assumption that they are independent. Standard interaction analysis compares the extension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02eb8f03eb915c257003acc569581d3b
https://doi.org/10.3390/biology7010006
https://doi.org/10.3390/biology7010006
Publikováno v:
Physical Review E. 91
We study biological evolution on a random fitness landscape where correlations are introduced through a linear fitness gradient of strength $c$. When selection is strong and mutations rare the dynamics is a directed uphill walk that terminates at a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b0364f6a7def3e3d4448d25b3180058
https://doi.org/10.1103/physreve.91.042707
https://doi.org/10.1103/physreve.91.042707
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 9, p e1003836 (2014)
PLoS Computational Biology
PLoS Computational Biology
Identifying and quantifying the benefits of sex and recombination is a long standing problem in evolutionary theory. In particular, contradictory claims have been made about the existence of a benefit of recombination on high dimensional fitness land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f9cfb2832a33c623ad753c8dc293c33
http://europepmc.org/articles/PMC4168978?pdf=render
http://europepmc.org/articles/PMC4168978?pdf=render
Publikováno v:
Genetics. 198(2)
Much of the current theory of adaptation is based on Gillespie's mutational landscape model (MLM), which assumes that the fitness values of genotypes linked by single mutational steps are independent random variables. On the other hand, a growing bod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad603bfce63abe4a21aaa6ef25ed6971
https://pubmed.ncbi.nlm.nih.gov/25123507
https://pubmed.ncbi.nlm.nih.gov/25123507
Publikováno v:
Journal of theoretical biology. 332
Starting from fitness correlation functions, we calculate exact expressions for the amplitude spectra of fitness landscapes as defined by P.F. Stadler [J. Math. Chem. 20, 1 (1996)] for common landscape models, including Kauffman's NK-model, rough Mou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6840be474726639705f31fb7573b92
https://pubmed.ncbi.nlm.nih.gov/23685065
https://pubmed.ncbi.nlm.nih.gov/23685065