| Hidden genetic variability within electromorphs in finite populations. | |
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MedLine Citation:
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PMID: 1001874 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The amount of hidden genetic variability within electromorphs in finite populations is studied by using the infinite site model and stepwise mutation model simultaneously. A formula is developed for the bivariate probability generating function for the number of codon differences and the number of electromorph state differences between two randomly chosen cistrons. Using this formula, the distribution as well as the mean and variance of the number of codon differences between two identical or nonidentical electromorphs are studied. The distribution of the number of codon differences between two randomly chosen identical electromorphs is similar to the geometric distribution but more leptokurtic. Studies are also made on the number of codon differences between two electromorphs chosen at random one from each of two populations which have been separated for an arbitrary number of generations. It is shown that the amount of hidden genetic variability is very large if the product of effective population size and mutation rate is large. |
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Authors:
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R Chakraborty; M Nei |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Genetics Volume: 84 ISSN: 0016-6731 ISO Abbreviation: Genetics Publication Date: 1976 Oct |
Date Detail:
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Created Date: 1977-02-24 Completed Date: 1977-02-24 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 0374636 Medline TA: Genetics Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 385-93 Citation Subset: IM |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Codon Electrophoresis* Genetic Variation* Mathematics Models, Biological* Polymorphism, Genetic |
| Chemical | |
Reg. No./Substance:
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0/Codon |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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