ArticleScientific reports2015
Genetic analysis of Indian tasar silkmoth (Antheraea mylitta) populations.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- In silico structural and functional characterization of Antheraea mylitta cocoonase.Journal, genetic engineering & biotechnology · 2022Article
- Study on cocoonase, sericin, and degumming of silk cocoon: computational and experimental.Journal, genetic engineering & biotechnology · 2021Article
- Evolutionary Diversity in the Intracellular Microsporidian Parasite Nosema sp. Infecting Wild Silkworm Revealed by IGS Nucleotide Sequence Diversity.Journal of molecular evolution · 2020Article
- Analysis of genetic diversity and phylogeny of Philosamia ricini (Lepidoptera: Saturniidae) by using RAPD and internal transcribed spacer DNA1.Molecular biology reports · 2019Article
- Assessment of various genetic components through NCD-I and NCD-III designs of biparental mating in opium poppy.Journal of genetics · 2019Article
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Authors and funding
6 authors.
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Abstract
Indian tasar silkmoth, Antheraea mylitta is an economically important wild silkmoth species distributed across India. A number of morphologically and ethologically well-defined ecotypes are known for this species that differ in their primary food plant specificity. Most of these ecotypes do not interbreed in nature, but are able to produce offspring under captive conditions. Microsatellite markers were developed for A. mylitta, and out of these, ten well-behaved microsatellite loci were used to analyze the population structure of different ecoraces. A total of 154 individual moths belonging to eight different ecoraces, were screened at each locus. Hierarchical analysis of population structure using Analysis of MOlecular VAriance (AMOVA) revealed significant structuring (FST = 0.154) and considerable inbreeding (FIS = 0.505). A significant isolation by distance was also observed. The number of possible population clusters was investigated using distance method, Bayesian algorithm and self organization maps (SOM). The first two methods revealed two distinct clusters, whereas the SOM showed the different ecoraces not to be clearly differentiated. These results suggest that although there is a large degree of phenotypic variation among the different ecoraces of A. mylitta, genetically they are not very different, and the phenotypic differences may largely be a result of their respective ecology.
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