Update Artikelilmiah: 43365

SUCI AHLAL BAITY

NIM

Judul Artikel

Abstrak (Bhs. Indonesia)

Latar Belakang: Penggunaan antibiotik berlebihan di peternakan dapat menyebabkan pertambahan gen resisten antibiotik melalui residu antibiotik yang mencemari lingkungan sehingga berpotensi menyebabkan penyebaran resistensi antibiotik pada bakteri melalui air termasuk di aliran Sungai Banjaran. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi diversitas gen resisten antibiotik pada aliran Sungai Banjaran di hulu dan kawasan peternakan. Metode: Penelitian ini menggunakan metode eksperimental in silico dengan jumlah sampel air dan sedimen sebanyak 5 liter pada 3 titik pengambilan sampel di hulu dan kawasan peternakan lalu disaring dengan membrane filter dan dilakukan ekstraksi DNA dengan DNeasy PowerWater kemudian dilakukan sekuensing DNA dengan Shotgun Metagenomic Next-Generation Sequencing. Data kemudian dianalisis dengan Bacterial and Viral Bioinformatics Resource Center. Hasil: Terdapat 148 gen resisten antibiotik yang terdeteksi dengan 65 gen resisten antibiotik ditemukan pada hulu sungai, 36 gen resisten antibiotik ditemukan pada hulu dan kawasan peternakan, serta 47 gen resisten antibiotik pada kawasan peternakan. Gen acrB, bacA, marA, Mcat_23S_MAC, ramA, Sent_gyrA_FLO, Sser_gyrB_FLO, Pmul_16S_SPT, dan Sser_parE_FLO yang terdeteksi pada kawasan peternakan diduga muncul akibat residu antibiotik dari peternakan. Kesimpulan: Terdapat perbedaan jumlah gen resisten antibiotik yang teridentifikasi pada hulu sungai dan kawasan peternakan akibat self purification sungai dan cemaran residu antibiotik dari kegiatan peternakan.

Abtrak (Bhs. Inggris)

Background: Excessive antibiotic use in livestock can lead to an increase in antibiotic resistance genes through antibiotic residues contaminating the environment, potentially causing the spread of antibiotic resistance in bacteria through water, including the Banjaran River. Objective: This research aims to identify the diversity of antibiotic resistance genes in the upstream of Banjaran River and its adjacent livestock areas. Methods: The study employs an in silico experimental approach, with 5-liter samples of water and sediment samples collected from three sampling points upstream and in the vicinity of livestock farms. Water samples are filtered using membrane filters, and DNA extraction is performed using DNeasy PowerWater, followed by DNA sequencing using Shotgun Metagenomic Next-Generation Sequencing. Data analysis is carried out using the Bacterial and Viral Bioinformatics Resource Center. Results: A total of 148 antibiotic-resistant genes were detected with 65 antibiotic resistance genes were found at the upstream of the river, 36 at both upstream and livestock areas, and 47 at the livestock area. Genes such as acrB, bacA, marA, Mcat_23S_MAC, ramA, Sent_gyrA_FLO, Sser_gyrB_FLO, Pmul_16S_SPT, and Sser_parE_FLO detected at sampling point two are suspected to arise due to contamination from antibiotic residues from livestock activities. Conclusion: There is a difference in the number of identified antibiotic resistance genes in the upstream of the river and the livestock farming area due to the self-purification process of the river and the contamination of antibiotic residues from farming activities.

Kata kunci

Pembimbing 1

Pembimbing 2

Pembimbing 3

Tahun

Jumlah Halaman