Literature DB >> 8056616

Nuclear background affects frequency dynamics of mitochondrial DNA variants in Drosophila simulans.

L Nigro1.   

Abstract

Transplasmic lines, in which the original mitochondrial DNA (mtDNA) had been completely replaced by the mtDNA of the donor, were constructed to test for selection on mtDNA variants and to investigate the effects of nuclear-cytoplasmic interactions in Drosophila simulans. These lines were used to set up 12 experimental populations putting in competition two mtDNA variants with two different starting frequencies. Population cages were maintained for 20 generations and periodically sampled to monitor haplotype frequencies. Evidence is provided for a complete reversal of the forces acting on the frequency dynamics of the mtDNA variants according to the lines used to establish the population cages. In the cages where the competing lines had both the original nuclear and mtDNA, the siII type mtDNA variant seemed to be favoured but the situation was reversed when this variant was put in a different nuclear background.

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Year:  1994        PMID: 8056616     DOI: 10.1038/hdy.1994.80

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  4 in total

1.  Mitochondrial genotype affects fitness in Drosophila simulans.

Authors:  Avis C James; J William O Ballard
Journal:  Genetics       Date:  2003-05       Impact factor: 4.562

2.  Differential fitness of mitochondrial DNA in perturbation cage studies correlates with global abundance and population history in Drosophila simulans.

Authors:  J William O Ballard; Avis C James
Journal:  Proc Biol Sci       Date:  2004-06-07       Impact factor: 5.349

Review 3.  The evolutionary processes of mitochondrial and chloroplast genomes differ from those of nuclear genomes.

Authors:  Helena Korpelainen
Journal:  Naturwissenschaften       Date:  2004-09-28

4.  Testing for the Occurrence of Selective Episodes During the Divergence of Otophysan Fishes: Insights from Mitogenomics.

Authors:  Alejandro D'Anatro; Facundo Giorello; Matías Feijoo; Enrique P Lessa
Journal:  J Mol Evol       Date:  2017-04-04       Impact factor: 2.395

  4 in total

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