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Genetic Variation Analysis of the E6 HPV 16 Gene Using RFLP In Silico Annisa, Silvy; Rahmawati, Atika Ayu; Nadira; Khairani, Fidia Aura; Achyar, Afifatul
Jurnal Serambi Biologi Vol. 9 No. 1 (2024): Jurnal Serambi Biologi
Publisher : Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/srmb.v9i1.331

Abstract

Cervical cancer is cancer that attacks epithelial cells or the outer surface layer of the cervix. This cancer is most commonly caused by the high risk type of Human Papillomavirus. The RFLP method uses restriction enzymes to cut certain nucleotide sequences at specific positions that produce fragments of different lengths. The purpose of this study was to determine the polymorphism that occurs in the E6 gene of the HPV 16 virus. This research was conducted using RFLP in silico. Virtual descriptive methods are used to analyze data and collect information about the object of study. The restriction enzyme HpaII was used in this study. The results showed that there were two alleles (A1 and A2) out of a total of 15 sequences of the E6 HPV 16 gene in Popset 636528409 indicating that there was a genetic variation in the gene.
The Application of Nanotechnology-Based Liquid Organic Fertilizer for Improving the Quality of Hydroponically Grown Vegetables Fevria, Resti; Razak, Abdul; Vauzia, Vauzia; Putri, Santi Diana; Annisa, Silvy
Journal of Applied Agricultural Science and Technology Vol. 9 No. 3 (2025): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v9i3.398

Abstract

Hydroponics, a farming technique using nutrient-enriched water, has been widely practiced due to its suitability for limited agricultural land. One of the key factors affecting hydroponic efficiency is the nutrient blend, with AB Mix and liquid organic fertilizer playing a crucial role. This study aims to evaluate the potential of nanotechnology-based nutrient solution in hydroponic to enhance nutrient absorption and improve plant growth in different vegetable species. Five vegetable species, which include red lettuce, red spinach, green spinach, pakcoy, and kailan, were selected to assess the interaction between nutrient composition and vegetable species. A study with factorial design was conducted using a randomized complete block design (RCBD). The primary factor was the fertilizer composition and the secondary factor was the type of vegetable. The treatments consisted of Control (Well water + AB Mix), P1 (Nanotechnology water + 100% AB Mix), P2 (Nanotechnology water + 25% nanotechnology liquid organic fertilizer + 75% AB Mix), P3 (Nanotechnology water + 50% nanotechnology liquid organic fertilizer + 50% AB Mix), P4 (Nanotechnology water + 75% nanotechnology liquid organic fertilizer + 25% AB Mix), and P5 (Nanotechnology water + 100% nanotechnology liquid organic fertilizer). Growth parameters measured included plant height, fresh weight, dry weight, number of leaves, and leaf area. Data were evaluated using a two-way ANOVA to assess the effects of fertilizer composition and vegetable type, followed by a 5% DMRT test for mean comparison. The findings indicated that the use of liquid organic fertilizer technology influenced plant growth. The most optimal average growth was recorded in the P2 treatment (a combination of nanotechnology water, 25% nanotechnology liquid organic fertilizer, and 75% AB Mix), while the least favorable result was observed in P5 (nanotechnology water combined with 100% nanotechnology liquid organic fertilizer).