Evolutionary dynamics of rDNA clusters on chromosomes of moths
نویسندگان
چکیده
31 We examined chromosomal distribution of major ribosomal DNAs (rDNAs), clustered in the nucleolar 32 organizer regions (NORs), in 18 species of moths and butterflies using fluorescence in situ 33 hybridization (FISH) with a codling moth (Cydia pomonella) 18S rDNA probe. Most species showed 34 one or two rDNA clusters in their haploid karyotype but exceptions with four to eleven clusters also 35 occurred. Our results in a compilation with previous data revealed dynamic evolution of rDNA 36 distribution in Lepidoptera except Noctuoidea, which showed a highly uniform rDNA pattern. In 37 karyotypes with one NOR, interstitial location of rDNA prevailed, whereas two-NOR karyotypes 38 showed mostly terminally located rDNA clusters. A possible origin of the single interstitial NOR by 39 fusion between two NOR-chromosomes with terminal rDNA clusters lacks support in available data. In 40 some species, spreading of rDNA to new, mostly terminal chromosome regions was found. The 41 multiplication of rDNA clusters without alteration of chromosome numbers rules out chromosome 42 fissions as a major mechanism of rDNA expansion. Based on rDNA dynamics in Lepidoptera and 43 considering the role of ordered nuclear architecture in karyotype evolution, we propose ectopic 44 recombination, i.e. homologous recombination between repetitive sequences of non-homologous 45 chromosomes, as a primary motive force in rDNA repatterning. 46
منابع مشابه
Evolutionary Dynamics of rDNA Clusters in Chromosomes of Five Clam Species Belonging to the Family Veneridae (Mollusca, Bivalvia)
The chromosomal changes accompanying bivalve evolution are an area about which few reports have been published. To improve our understanding on chromosome evolution in Veneridae, ribosomal RNA gene clusters were mapped by fluorescent in situ hybridization (FISH) to chromosomes of five species of venerid clams (Venerupis corrugata, Ruditapes philippinarum, Ruditapes decussatus, Dosinia exoleta, ...
متن کاملPreferential Occupancy of R2 Retroelements on the B Chromosomes of the Grasshopper Eyprepocnemis plorans
R2 non-LTR retrotransposons exclusively insert into the 28S rRNA genes of their host, and are expressed by co-transcription with the rDNA unit. The grasshopper Eyprepocnemis plorans contains transcribed rDNA clusters on most of its A chromosomes, as well as non-transcribed rDNA clusters on the parasitic B chromosomes found in many populations. Here the structure of the E. plorans R2 element, it...
متن کاملChromosomal divergence and evolutionary inferences in Rhodniini based on the chromosomal location of ribosomal genes.
In this study, we used fluorescence in situ hybridisation to determine the chromosomal location of 45S rDNA clusters in 10 species of the tribe Rhodniini (Hemiptera: Reduviidae: Triatominae). The results showed striking inter and intraspecific variability, with the location of the rDNA clusters restricted to sex chromosomes with two patterns: either on one (X chromosome) or both sex chromosomes...
متن کاملEvolutionary dynamics of rDNA genes on chromosomes of the Eucinostomus fishes: cytotaxonomic and karyoevolutive implications.
Several chromosomal features of Gerreidae fish have been found to be conserved. In this group, it is unclear whether the high degree of chromosomal stasis is maintained when analyzing more dynamic regions of chromosomes, such as rDNA sites that generally show a higher level of variability. Thus, cytogenetic analyses were performed on 3 Atlantic species of the genus Eucinostomus using convention...
متن کاملخوشهبندی خودکار دادهها با بهرهگیری از الگوریتم رقابت استعماری بهبودیافته
Imperialist Competitive Algorithm (ICA) is considered as a prime meta-heuristic algorithm to find the general optimal solution in optimization problems. This paper presents a use of ICA for automatic clustering of huge unlabeled data sets. By using proper structure for each of the chromosomes and the ICA, at run time, the suggested method (ACICA) finds the optimum number of clusters while optim...
متن کامل