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AbstractFor almost 20 years, many inference methods have been developed to detect selective sweeps and localize the targets of directional selection in the genome. These methods are based on population genetic models that describe the effect of a beneficial allele (e.g., a new mutation) on linked neutral variation (driven by directional selection from ...
Wolfgang Stephan
exaly +6 more sources
Traveling waves of selective sweeps [PDF]
The goal of cancer genome sequencing projects is to determine the genetic alterations that cause common cancers. Many malignancies arise during the clonal expansion of a benign tumor which motivates the study of recurrent selective sweeps in an ...
Durrett, Rick, Mayberry, John
core +6 more sources
Selective Sweeps in Growing Microbial Colonies [PDF]
Evolutionary experiments with microbes are a powerful tool to study mutations and natural selection. These experiments, however, are often limited to the well-mixed environments of a test tube or a chemostat.
Hallatschek, Oskar +5 more
core +8 more sources
On detecting selective sweeps using single genomes [PDF]
Identifying the genetic basis of human adaptation has remained a central focal point of modern population genetics. One major area of interest has been the use of polymorphism data to detect so-called 'footprints' of selective sweeps - patterns produced ...
Priyanka eSinha +7 more
doaj +4 more sources
Versatile Detection of Diverse Selective Sweeps with Flex-Sweep. [PDF]
Abstract Understanding the impacts of selection pressures influencing modern-day genomic diversity is a major goal of evolutionary genomics. In particular, the contribution of selective sweeps to adaptation remains an open question, with persistent statistical limitations on the power and specificity of sweep detection methods. Sweeps
Lauterbur ME, Munch K, Enard D.
europepmc +4 more sources
diploS/HIC: An Updated Approach to Classifying Selective Sweeps
Identifying selective sweeps in populations that have complex demographic histories remains a difficult problem in population genetics. We previously introduced a supervised machine learning approach, S/HIC, for finding both hard and soft selective ...
Andrew D. Kern, Daniel R. Schrider
doaj +3 more sources
Selective sweeps in SARS-CoV-2 variant competition. [PDF]
The main mathematical result in this paper is that change of variables in the ordinary differential equation (ODE) for the competition of two infections in a Susceptible–Infected–Removed (SIR) model shows that the fraction of cases due to the new variant satisfies the logistic differential equation, which models selective sweeps.
Boyle L +6 more
europepmc +4 more sources
Predicting Carriers of Ongoing Selective Sweeps without Knowledge of the Favored Allele. [PDF]
Methods for detecting the genomic signatures of natural selection have been heavily studied, and they have been successful in identifying many selective sweeps.
Roy Ronen +5 more
doaj +1 more source
Signatures of selective sweeps in continuous-space populations. [PDF]
Abstract Selective sweeps describe the process by which an adaptive mutation arises and rapidly fixes in the population, thereby removing genetic variation in its genomic vicinity. The expected signatures of selective sweeps are relatively well understood in panmictic population models, yet natural populations often extend across ...
Chotai M, Wei X, Messer PW.
europepmc +3 more sources
Genome-wide patterns of nucleotide polymorphism in domesticated rice. [PDF]
Domesticated Asian rice (Oryza sativa) is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon,
Ana L Caicedo +11 more
doaj +1 more source

