We are interested in modeling Darwinian evolution resulting from the interplay of phenotypic variation and natural selection through ecological interactions. The population is modeled as a stochastic point process whose generator captures the probabilistic dynamics over continuous time of birth, mutation, and death, as influenced by each individual's trait values, and interactions between individuals. An offspring usually inherits the trait values of her progenitor, except when a random mutation causes the offspring to take an instantaneous mutation step at birth to new trait values. In the case we are interested in, the probability distribution of mutations has a heavy tail and belongs to the domain of attraction of a stable law and the corresponding diffusion admits jumps. This could be seen as an alternative to Gould and Eldredge's model of evolutionary punctuated equilibria. We investigate the large-population limit with allometric demographies: larger populations made up of smaller individuals which reproduce and die faster, as is typical for micro-organisms. We show that depending on the allometry coefficient the limit behavior of the population process can be approximated by nonlinear Lévy flights of different nature: either deterministic, in the form of non-local fractional reaction-diffusion equations, or stochastic, as nonlinear super-processes with the underlying reaction and a fractional diffusion operator. These approximation results demonstrate the existence of such non-trivial fractional objects; their uniqueness is also proved.
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http://dx.doi.org/10.1007/s00285-011-0478-5 | DOI Listing |
Biochem Biophys Rep
March 2025
Department of Plant Breeding, Cotton Research Institute of Iran (CRII), Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran.
Fungal infections pose a considerable threat to the cultivation of barley () and often limit the crop yield. During infection, the transcriptome undergoes extensive reprogramming involving several regulatory pathways. To address this complexity, we performed a comprehensive meta-analysis and co-expression network analysis using rigorously curated RNA-seq datasets from three different fungal diseases.
View Article and Find Full Text PDFEvolution
March 2025
Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525, USA.
Natural selection acts on traits at different scales, often with opposing consequences. This article identifies the particular forces that act at each scale and how those forces combine to determine the overall evolutionary outcome. A series of extended models derive from the tragedy of the commons, illustrating opposing forces at different scales.
View Article and Find Full Text PDFAm J Bot
March 2025
Department of Ecology and Conservation Biology, Texas A&M University, College Station, 77843-2258, TX, USA.
Premise: Understanding relationships among grass traits, fire, and herbivores may help improve conservation strategies for savannas that are threatened by novel disturbance regimes. Emerging theory, developed in Africa, emphasizes that functional traits of savanna grasses reflect the distinct ways that fire and grazers consume biomass. Specifically, functional trade-offs related to flammability and palatability predict that highly flammable grass species will be unpalatable, while highly palatable species will impede fire.
View Article and Find Full Text PDFGenet Sel Evol
March 2025
College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Background: The effectiveness of genomic prediction (GP) significantly influences breeding progress, and employing SNP markers to predict phenotypic values is a pivotal aspect of pig breeding. Machine learning (ML) methods are usually used to predict phenotypic values since their advantages in processing high dimensional data. While, the existing researches have not indicated which ML methods are suitable for most pig genomic prediction.
View Article and Find Full Text PDFPlant Sci
March 2025
Department of Agriculture and Forest Science (DAFNE), University of Tuscia, Viterbo, Italy. Electronic address:
High-amylose wheat has garnered significant attention from the food industry for its potential to produce low-glycaemic food products. It is well-established that there is a direct correlation between the amylose content in flour and the amount of resistant starch (RS) in foods. Recently, some research initiatives have successfully produced high-amylose durum wheat by targeting key enzymes in the amylopectin biosynthesis pathway, though this has resulted in a reduction in seed weight.
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