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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences
Estri Laras Arumningtyas
Biology Study Program
Agriculture, Biological Sciences & Forestry Environmental Science

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Constructing Phenetic and Phylogenetic Relationship Using Clad'97 Brian Rahardi; Estri Laras Arumningtyas; Wayan Firdaus Mahmudi
Journal of Tropical Life Science Vol. 2 No. 1 (2012)
Publisher : Journal of Tropical Life Science

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Abstract

Relationship construction has a very important position in classification process for arranging taxonomy of organism. In the world of taxonomy, there are two the most familiar relationship diagram, cladogram and phenogram. In every construction activity, a researcher is always facing character state data from taxa that becomes components of the diagram. Calculation that is used for construction is often incorporate iterative or repetitive process that needs time and precision. The existence of calculating tools that produces both text and graphical output are hopefully decrease time and error during construction. Basic algorithm that is used in calculation is for phylogenetic construction by Kluge and Farris in 1969,for phenetic construction using cluster analysis with slight modification. Basic common algorithm used in the software is by calculating two dimensional arrays of taxa x characters matrix and creating distance or similarity matrix. In more detail the program creates one dimensional array of taxonomical object and each object has some other one dimensional array containing data commonly exist in a taxonomic unit. The relationship between one object and theother are regulated by an object that created by class representing taxonomic tree. Cladogram is constructed by calculating nearest distance between each taxon (OTU) and creating one HTU in every bifurcation. Phenogram is constructed agglomeratively by searching highest similarity between taxon then grouped into new taxon. Program calculates numerical data after we do character scoring. Final result for each user may be different; this may be due to decision by user during construction process. This paper hopefully attracts people from systematic computation to develop further into open source software and multi-platform feature.
Microsatellite Marker for Genetic Variation Analysis in Local Chili Pepper (Capsicum frutescens L.) Induced by Ethyl Methane Sulfonate (EMS) Ria Reinnata Juliandari; Retno Mastuti; Estri Laras Arumningtyas
Journal of Tropical Life Science Vol. 9 No. 2 (2019)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.09.02.08

Abstract

Mutation using Ethyl Methane Sulfonate (EMS) is a simple and quick method to produce genetic variation in chili pepper. In this study, a total of 3 genotypes of local chili pepper (Capsicum frutescens L.), i.e. Genotype 2 (G2), Genotype 7 (G7), and Genotype 11 (G11) were induced by EMS with concentrations of 0% (K0), 0.01% (K1), 0.02% (K2), and 0.04% (K3). Genetic variation analysis in mutant was performed based on 3 microsatellite markers CA 19, CA 27, CA 62. Those molecular markers successfully detected the genetic variation in chili pepper mutant based on the number and size of microsatellite alleles variation. The 3 genotypes of chili pepper mutant produced a total of 15 alleles with the average Polymorphism Information Content (PIC) value of 0.82. Compared to the control plant, genetic variations in genome level were observed in local chili pepper. Furthermore, the treatment of EMS with concentration of 0.04% produced the most notable genetic variation in 3 genotypes of local chili pepper. 
Co-Authors Brian Rahardi Retno Mastuti Ria Reinnata Juliandari Wayan Firdaus Mahmudi