NON-RANDOM ASSOCIATION BETWEEN ELECTROMORPHS AND INVERSION CHROMOSOMES IN FINITE POPULATIONS
NON-RANDOM ASSOCIATION BETWEEN ELECTROMORPHS AND INVERSION CHROMOSOMES IN FINITE POPULATIONS
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DOI:
10.1017/s001667230001394x
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发表时间:
1980-01-01
影响因子:
1.5
通讯作者:
LI, WH
中科院分区:
文献类型:
--
作者:
NEI, M;LI, WH
To determine the probable magnitude of non-random association between inversion chromosomes and electromorphs, deterministic and stochastic studies were conducted on the evolutionary change of non-random association, which is defined as the difference in the frequency of a given allele between inversion and non-inversion chromosomes. Inversion chromosomes are assumed to be subject to selection but electromorphs are selectively neutral, and recombination is allowed to occur between inversion and non-inversion chromosomes with a low frequency. The deterministic study showed that in a variety of selective schemes for inversion chromosomes the non-random association decays at a rate equal to the recombination value in every generation. If the recombination value is of the order of 10-5 .apprx. 10-4, it would take a long time for the non-random association to disappear. The stochastic study indicated that random genetic drift generates non-random association of inversions and electromorphs in finite populations and the standard error of non-random association often becomes larger than the mean. The time required for the electromorph frequencies in the inversion and noninversion chromosomes to become equal in a finite population and the probability that the population of inversion chromosomes remains monomorphic for the allele which existed in the initial inversion introduced are studied. Data on the non-random association between electromorphs and inversions are probably not very informative for the study of the maintenance of protein polymorphism. In the study of association between electromorphs and inversion chromosomes, non-random association or Yule''s coefficient of association has a better property than the usual linkage disequilibrium measure or correlation coefficient. Implications of this study on some experimental observations are discussed.