chromosomal mutation

Definitions

  • WordNet 3.6
    • n chromosomal mutation (genetics) any event that changes genetic structure; any alteration in the inherited nucleic acid sequence of the genotype of an organism
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Usage


In news:

Paired chromosomes recombine with each other during reproduction to reduce the impact of genes that are deleted or mutated.
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In science:

The infinite sites model starts with the assumption that each new mutation affects a new, never touched before or after, site (locus) of the chromosome.
Recent progress in coalescent theory
This is a type of mutation which rearranges large portions of one’s genetic material: more precisely, it causes two homologous chromosomes to exchange genetic material.
Recent progress in coalescent theory
We also assume given a function r : [−L, L] → (0, 1), which tells us what is the recombination probability r when there is a mutation at position x along the chromosome.
Recent progress in coalescent theory
If now µ(dx, ds) = αdx ⊗ δs (that is, the selective advantage is still constant and the mutation rate is constant along the chromosome, with total rate αL/N ), and if r is constant, then Λ = δ0 + Λ0 and Λ0 has density cy for e−rL/s < y < 1 and 0 otherwise, with c = e2αs2 /r .
Recent progress in coalescent theory
It results in a gene product with a new function. D. ✔ It depends upon the nature of the gene product and the mutation. Q28: Gene A and gene B are located on the same chromosome.
Biological Concepts Instrument (BCI): A diagnostic tool for revealing student thinking
It can result of a mutation that switches a link to point to the homologous area of the opposite sex chromosome.
A Developmental Network Theory of Gynandromorphs, Sexual Dimorphism and Species Formation
With the discovery of chromosomes and genes, the material basis for inheritance and the storage of genetic information was revealed, and mutations were identified as a source of genetic variation.
Biological Evolution and Statistical Physics
One of the first uses of an ABC algorithm was by Pritchard et a l. (1999), who used a simple stochastic model to study the demographic history of the Y chromosome, and used an approximate rejection algorithm to infer mutation and demographic parameters for their model.
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
They elicited prior distributions for the mutation rates from the literature, and used diffuse priors for population parameters such as the growth rate and the effective number of ancestral Y chromosomes.
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
To perform ABC we generated 5, 000, 000 samples of datasets comprising 100 chromosomes for each model; in each case the population mutation rate θ (Ewens, 2004) was drawn from the prior U (5, 30); the real value for which the data were generated was θ = 20 (measured in units of total population size).
Considerate Approaches to Achieving Sufficiency for ABC model selection
Since the human genome consists of pairs of chromosomes, and each chromosome contains genes with matching functionalities, a human who has inherited a mutated gene may not display the symptoms of the genetic disease.
Semi-Quantitative Group Testing: a General Paradigm with Applications in Genotyping
Mutations Mutations often involve duplications, translocations, and chromosomal rearrangements.
Does Meaning Evolve?
In other words, mutation acts on one chromosome at a time.
A genetic algorithm for finding pulse sequences for NMR quantum computing
It is a chromosome segregation mechanism that was hypothesized to be at work in adult stem cells , as a way to reduce the accumulation of mutations in stem cells.
Semiconservative quasispecies equations for polysomic genomes: The general case
The selection function decides which chromosomes will participate in the evolution stage of the genetic algorithm made up by the crossover and mutation operators.
Search-based software test data generation using evolutionary computation
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