Repeated G-nucleotides from DNA Sequences from RAPD Results in Indonesian Local Etawah Goats Derived from Natural Service and Artificial Insemination

Mudawamah Mudawamah 1, a) , Muhammad Zainul Fadli 2, , Gatot Ciptadi 3 , Usman
Ali 1 and Gusfarisa Rafika Putri 1
1 Department of Animal Husbandry, Faculty of Animal Husbandry, Islamic University of Malang, Malang, East Java, Indonesia
2 Department of Medical, Faculty of Medical, Islamic University of Malang, Malang, East Java, Indonesia
3 Deapartment of Animal production, Faculty of Animal Husbandry, Brawijaya University, Malang, East Java, Indonesia
a) Corresponding author:

Abstract. Indonesian local Etawah goats (ILEG) are a livestock that has adapted to the environment and management of community farms in Indonesia, with systems of natural service (NS) and artificial insemination (AI). The livestock potential needs to be studied molecularly as a source of information on genetic diversity. The purpose of this study was to determine the repeated of guanine nucleotides (GG, GGG, GGGG, GGGGG and GGGGGG) from DNA sequenced with RAPD results in two ILEG populations of NS and AI. The method used was an experiment with sequencing analysis based on RAPD results with the marker OPA-19 with five replications. The sequencing results were descriptive analysis using SPSS V. 23 with unpaired t-test on the two ILEG populations. The results showed that the ILEG from NS had a very significantly higher number of repeated G-nucleotides (P < 0.01) than ILEG from AI. While the data of repeated
GGG, GGGG, GGGGG and GGGGGG were not used for unpaired t-tested because it did not pass normality test. Descriptively repeated GGG, GGGG, GGGGG and GGGGG on ILEG from NS results were higher than AI. Particularly in repeated G-nucleotides (GGGG, GGGGG and GGGGGG), in ILEG from NS results were still found to be 100% in all sequencing samples, but in ILEG from AI results showed decreased percentages of 60%, 40% and 0%. The conclusion of this study was that repeated G-nucleotides in ILEG from NS are more common than in ILEG from AI.

Keywords: ILEG, RAPD, sequencing