A STANDARDIZED GENETIC DIFFERENTIATION MEASURE

Clicks: 2
ID: 291455
2005
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #195 of 244 articles by views in international journal of systematic and evolutionary microbiology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 244 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Interpretation of genetic differentiation values is often problematic because of their dependence on the level of genetic variation. For example, the maximum level of GST is less than the average within population homozygosity so that for highly variable loci, even when no alleles are shared between subpopulations, GST may be low. To remedy this difficulty, a standardized measure of genetic differentiation is introduced here, one which has the same range, 0-1, for all levels of genetic variation. With this measure, the magnitude is the proportion of the maximum differentiation possible for the level of subpopulation homozygosity observed. This is particularly important for situations in which the mutation rate is of the same magnitude or higher than the rate of gene flow. The standardized measure allows comparison between loci with different levels of genetic variation, such as allozymes and microsatellite loci, or mtDNA and Y-chromosome genes, and for genetic differentiation for organisms with different effective population sizes.
Reference Key
openalex_W2106791022 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Philip W. Hedrick
Journal international journal of systematic and evolutionary microbiology
Year 2005
DOI
10.1111/j.0014-3820.2005.tb01814.x
URL
https://doi.org/10.1111/j.0014-3820.2005.tb01814.x
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.