Literature DB >> 7907212

Genetic structure of natural populations of Dryas iulia (Lepidoptera: Nymphalidae) revealed by enzyme polymorphism and mitochondrial DNA (mtDNA) restriction fragment length polymorphism (RFLP).

K L Haag1, A Mellender de Araújo, A Zaha.   

Abstract

Dryas iulia appears to have undergone a mode of evolution different from that of other members of its subfamily (Heliconiinae). While other species constitute highly subdivided and inbred populations, those of D. iulia are thought to be large and uniform. Analyzing six samples from Southern Brazil (state of Rio Grande do Sul) in relation to three enzyme systems (EST, LAP, and PGM) and their mtDNA RFLP patterns, we found that they are very similar at the molecular level. The F statistics for enzyme polymorphism data revealed that inbreeding makes a great contribution to the population homozygosity, since FIS equals 0.1322 and FST equals 0.0023. Since the chi-square test showed that FST is not significant, we conclude that all localities belong to the same population. The mtDNA differentiation was about 12 times greater than for nuclear genes; FST was equivalent to 0.0265. We suggest that this difference is due to a higher dispersal of males, in relation to females.

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Year:  1993        PMID: 7907212

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  3 in total

1.  Comparative population genetics of mimetic Heliconius butterflies in an endangered habitat; Brazil's Atlantic Forest.

Authors:  Priscila Albuquerque de Moura; Swee-Peck Quek; Márcio Z Cardoso; Marcus R Kronforst
Journal:  BMC Genet       Date:  2011-01-20       Impact factor: 2.797

2.  The Dryas iulia Genome Supports Multiple Gains of a W Chromosome from a B Chromosome in Butterflies.

Authors:  James J Lewis; Francesco Cicconardi; Simon H Martin; Robert D Reed; Charles G Danko; Stephen H Montgomery
Journal:  Genome Biol Evol       Date:  2021-07-06       Impact factor: 3.416

3.  Remembering the past - studies on evolution done by the genetics group at Universidade Federal do Rio Grande do Sul (UFRGS).

Authors:  Francisco M Salzano
Journal:  Genet Mol Biol       Date:  2018-03-19       Impact factor: 1.771

  3 in total

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