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Can I read Genetic variation in natural populations of maté (Ilex paraguariensis A. St.-Hil., Aquifoliaceae) using RAPD markers on EtoBox?

Genetic variation in natural populations of maté (Ilex paraguariensis A. St.-Hil., Aquifoliaceae) using RAPD markers by Luciane Gauer; Suzana Cavalli-Molina is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Genetic variation in natural populations of maté (Ilex paraguariensis A. St.-Hil., Aquifoliaceae) using RAPD markers about?

This study characterized the genetic diversity of four populations of Ilex paraguariensis, a plant species native to South America, using random amplified polymorphic DNA (RAPD) markers. A total of 341 different RAPD bands were generated by the 15 primers analysed. High genetic variability was detected within each population, with an average diversity of 0.163. The within-population variation was large, probably as a result of the life history characteristics of I. paraguariensis. The average distance between individuals from each population was 0.392 and that between populations was 0.433, indicating a low between-population divergence. Most bands were common to all populations and the population-specific bands occurred at low frequencies. Partitioning of the genetic diversity indicated that 85% of the variation occurred within populations and only 15% between populations. Although most of the variability is within populations, clusterings of plants in each population were observed in the dendrogram.

Who reads Genetic variation in natural populations of maté (Ilex paraguariensis A. St.-Hil., Aquifoliaceae) using RAPD markers?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Luciane Gauer; Suzana Cavalli-Molina
Publisher
Nature Publishing Group; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc.; Wiley (ISSN 0018-067X)
Published
2000
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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