The rate of genetic divergence of sublines in the C57BL strain of mice

Grewal, Manjit Singh

doi:10.1017/s0016672300035011

Cited by 116 publications

(63 citation statements)

References 21 publications

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“…For example, experiments measuring heritability in inbred lines showed that heritability increases fairly rapidly in inbred sublines of different organisms (Grewal 1962;Hoi-Sen 1972;Lande 1976). These results were interpreted to mean that many genes contribute to a character and that the rate of mutation of these genes is high.…”

Section: Resultsmentioning

confidence: 99%

Epigenetic Contribution to Covariance Between Relatives

2010

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Recent research has pointed to the ubiquity and abundance of between-generation epigenetic inheritance. This research has implications for assessing disease risk and the responses to ecological stresses and also for understanding evolutionary dynamics. An important step toward a general evaluation of these implications is the identification and estimation of the amount of heritable, epigenetic variation in populations. While methods for modeling the phenotypic heritable variance contributed by culture have already been developed, there are no comparable methods for nonbehavioral epigenetic inheritance systems. By introducing a model that takes epigenetic transmissibility (the probability of transmission of ancestral phenotypes) and environmental induction into account, we provide novel expressions for covariances between relatives. We have combined a classical quantitative genetics approach with information about the number of opportunities for epigenetic reset between generations and assumptions about environmental induction to estimate the heritable epigenetic variance and epigenetic transmissibility for both asexual and sexual populations. This assists us in the identification of phenotypes and populations in which epigenetic transmission occurs and enables a preliminary quantification of their transmissibility, which could then be followed by genomewide association and QTL studies.

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Section: Resultsmentioning

confidence: 99%

Epigenetic Contribution to Covariance Between Relatives

2010

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“…Attempts have been made to estimate genomic mutation rates for quantitative traits in a few other species by directly counting major phenotypic differences that have arisen in mutation-accumulation experiments. In an examination of 27 skeletal traits in inbred strains of laboratory mice, Grewal (1962) obtained an average estimate of 0.022 mutations per character per zygote per generation; in a more extensive study with the same traits, Hoi-Sen (1972) obtained essentially the same result. Studies of a number of reproductive characters in maize using descendants of double-haploids (Sprague et al 1960) and inbred lines (Russell et al 1963) yielded average estimates of U equal to 0.090 and 0.056.…”

Section: Additional Evidence For High Genomic Mutation Rates For Fitnessmentioning

confidence: 90%

Perspective: Spontaneous Deleterious Mutation

Lynch¹,

Blanchard²,

Houle³

et al. 1999

Evolution

271

277

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“…Nevertheless, it could be argued that the uncorrected value would usually be almost as uncertain, and this correction principle has been successfully used in another context in estimating similarities in population genetics (e.g. Grewal, 1962). Estimation of average probability of error The use of an average probability for test results, p, is based on the assumption that it will give values of S' acceptably close to those that would be obtained in a long series of similarity values calculated from tests which have in fact different error rates, p l , pz, ...pi, .…”

Section: P H a S N E A T H A N D R J O H N Smentioning

confidence: 99%

The Influence on Numerical Taxonomic Similarities of Errors in Microbiological Tests

Sneath

Johnson

1972

Journal of General Microbiology

269

162

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A study is made of the effect of experimental errors of microbiological tests upon similarity values used in numerical taxonomy. For the coefficient SSM approximations are given for the mean and standard error of similarity values when some test results are erroneous, S', if the true value of similarity (S), the average probability in I, o data of erroneous tests results ( p ) , and the number of tests (n) are known.Formulae are given for estimatingp from an analysis of variance, and for including or excluding chosen factors that affect test reproducibility.When p is over about 10 % the error of similarity values becomes unacceptably large. Test error also increases the existing sampling error. It is generally better to employ many tests even if they are not as reproducible as desired, rather than to use only a few extremely reproducible tests.Examples are given suggesting that within one laboratory p can usually be kept below 5 %, but the discrepancies between laboratories may often be much larger.It is advisable to replicate some of the strains in numerical taxonomic studies, so as to afford a check on test reproducibility.

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The rate of genetic divergence of sublines in the C57BL strain of mice

Cited by 116 publications

References 21 publications

Epigenetic Contribution to Covariance Between Relatives

Epigenetic Contribution to Covariance Between Relatives

Perspective: Spontaneous Deleterious Mutation

The Influence on Numerical Taxonomic Similarities of Errors in Microbiological Tests

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