Results 121 to 130 of about 55,446 (204)
Epistasis and the Evolution of Antimicrobial Resistance [PDF]
Frontiers in Microbiology, 2017 The fitness effects of a mutation can depend, sometimes dramatically, on genetic background; this phenomenon is often referred to as "epistasis." Epistasis can have important practical consequences in the context of antimicrobial resistance (AMR). For example, genetic background plays an important role in determining the costs of resistance, and hence ...
openaire +3 more sources
BioData Mining, 2019 Background In Genome-Wide Association Studies (GWAS), the concept of linkage disequilibrium is important as it allows identifying genetic markers that tag the actual causal variants.
Marc Joiret +3 more
doaj +1 more source
Selection biases the prevalence and type of epistasis along adaptive trajectories [PDF]
arXiv, 2012 The contribution to an organism's phenotype from one genetic locus may depend upon the status of other loci. Such epistatic interactions among loci are now recognized as fundamental to shaping the process of adaptation in evolving populations. Although little is known about the structure of epistasis in most organisms, recent experiments with bacterial
arxiv
Combining growth-promoting genes leads to positive epistasis in Arabidopsis thaliana
eLife, 2014 Several genes positively influence final leaf size in Arabidopsis when mutated or overexpressed. The connections between these growth regulators are still poorly understood although such knowledge would further contribute to understand the processes ...
Hannes Vanhaeren +8 more
doaj +1 more source
The impact of macroscopic epistasis on long-term evolutionary dynamics [PDF]
arXiv, 2014 Genetic interactions can strongly influence the fitness effects of individual mutations, yet the impact of these epistatic interactions on evolutionary dynamics remains poorly understood. Here we investigate the evolutionary role of epistasis over 50,000 generations in a well-studied laboratory evolution experiment in E. coli. The extensive duration of
arxiv
Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]
, 2007 Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized ...
John A. Henning +3 more
core +1 more source
Detection of epitasis, additive and dominance variation in rice (Oryza sativa L.) using triple test cross analysis [PDF]
Electronic Journal of Plant Breeding, 2014 An investigation was carried out to detect the epistasis, additive and dominance components of genetic variance for yield and yield attributing traits through triple test cross analysis, involving three testers (P1, P2 and their F1) and ten lines of rice.
N.R. Koli, Chandra Prakash, R.K. Mahawar ,B.L.Kumhar and S.S.Punia
doaj
Multivariate Functional Regression Models for Epistasis Analysis [PDF]
arXiv, 2015 To date, most genetic analyses of phenotypes have focused on analyzing single traits or, analyzing each phenotype independently. However, joint epistasis analysis of multiple complementary traits will increase statistical power, and hold the key to understanding the complicated genetic structure of the complex diseases.
arxiv
Generation mean analysis of the key earliness related traits in cowpea (Vigna unguiculata (L.) Walp)
Scientific African, 2022 The nature of gene action controlling agronomic traits enables plant breeders to execute a successful crop improvement programme. To elucidate the type of gene action governing the key earliness related traits in cowpea, seven populations of the six ...
Emmanuel Yaw Owusu +6 more
doaj
From Royal Road to Epistatic Road for Variable Length Evolution Algorithm [PDF]
Lecture notes in computer science (Lect. notes comput. sci.) ISSN
0302-9743 (27/10/2003) 3-14, 2007 Although there are some real world applications where the use of variable length representation (VLR) in Evolutionary Algorithm is natural and suitable, an academic framework is lacking for such representations. In this work we propose a family of tunable fitness landscapes based on VLR of genotypes.
arxiv