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"Dalam rangka pencarian aktivitas antimikroba dari aktinomycetes di Papua, sebanyak seratus isolat Actinomycetes yang berasal dari tanah dan serasah dari beberapa ekosistem di Pulau Batanta dan Salawati, Papua Barat telah diuji. Sebanyak 200 ekstrak dari 100 isolat Actinomycetes telah diperoleh melalui dua tahap ekstraksi. Metabolit non polar diekstraksi menggunakan pelarut etil asetat : metanol (4:1), sedangkan metabolit polar diperoleh dari pemekatan medium menggunakan metode kering beku. Berdasarkan hasil pengujian menggunakan metode difusi agar, sebanyak 43 dari 200 ekstrak (21,5%) memiliki aktivitas antimikroba terhadap bakteri dan khamir (Escherichia coli NBRC 14237, Bacillus subtilis NBRC 3134, Staphylococcus aureus NBRC 13276, Micrococcus luteus NBRC 1367, Candida albicans NBRC 1594, dan Saccharomyces cerevisiae NBRC 10217). Hasil penelitian menunjukkan beberapa ekstrak Actinomycetes memiliki aktivitas anti bakteri gram negatif (1,5%), anti bakteri gram positif (17%), dan anti fungi (17%). Metabolit yang diekstraksi dengan pelarut etil asetat : metanol lebih aktif (35%) dibandingkan dengan pelarut air (17%). Sebanyak lima isolat yang memiliki aktivitas antimikroba tertinggi (BL-13-5, BL-06-5, BL-14-2, BL-22-3, dan Sl-36-1) diidentifikasi berdasarkan data sekuen gen 16S rRNA. Berdasarkan hasil pencarian homologi dengan program BLAST, diperoleh homologi spesies berturut-turut adalah Streptomyces kanamyceticus (92%), Streptomyces verne (92%), Streptomyces narbonensis (92%), Streptomyces malachitofuscus (98%), dan Streptomyces hygroscopicus (96%).

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In the framework of exploitation of antimicrobial activity of Actinomycetes in Papua, one hundred isolates of Actinomycetes isolated from soil and leaf litter samples from various ecosystems in Batanta and Salawati Island, Raja Ampat, West Papua were screened. We obtained 200 crude extracts from 100 isolates based on two extraction phases. Nonpolar metabolites were extracted by ethyl acetate : methanol (4:1) solvent while the polar metabolites were concentrated using a freeze-drying method. Based on the agar dilution method, a total of 43 from 200(21.5%) crude extracts have antimicrobial activity against bacteria and yeasts (Escherichia coli NBRC 14237, Bacillus subtilis NBRC 3134, Staphylococcus aureus NBRC 13276, Micrococcus luteus NBRC 1367, Candida albicans NBRC 1594 and Saccharomyces cerevisiae NBRC 10217). Some crude extracts showed anti-Gram negative (1.5%), anti-Gram positive (17%) and antifungal (17%) activities. Crude metabolites which were extracted using ethyl acetate : methanol were more effective on antimicrobial activity (35%) compared with water extraction (17%). Five most potential isolates (BL-13-5, BL-06-5, BL-14-2, BL-22-3, and Sl-36-1) were identified based on 16S rRNA gene sequence data. Sequence similarity search by BLAST program revealed that they show sequence similarities to Streptomyces kanamyceticus (92%), Streptomyces verne (92%), Streptomyces narbonensis (92%), Streptomyces malachitofuscus (98%), and Streptomyces hygroscopicus (96%), respectively."

"Penelitian untuk mengetahui keanekaragaman genetik bakteri dari usus ikan nila melalui teknik metagenom sequence-based telah dilakukan. Hasil amplifikasi gen 16S rRNA dari usus sebesar 1550 pb, kemudian dilakukan sequencing pada isolat dari Kolam Laboratorium PTPP, Serpong (L1, L2); Tambak Ikan Nila Salin, Karawang (Mu, Pu); dan KJA Waduk Cirata, Purwakarta (A1, C1). Identifikasi ke-6 isolat bakteri berdasarkan BLAST menunjukkan bahwa terdapat similaritas terhadap 4 spesies bakteri dengan nilai max identity tertinggi. Hasil analisis pohon filogenetik menggunakan metode neighbor-joining memperlihatkan bahwa isolat L1, L2 dan C1 diduga berkerabat dekat dengan bakteri Ochrobactrum anthropi, isolat A1 diduga berkerabat dekat dengan Lysinibacillus boronitolerans, isolat Pu diduga berkerabat dekat dengan Stenotrophomonas maltophilia, sementara isolat Mu diduga berkerabat dekat dengan Cetobacterium somerae. Berdasarkan hasil yang didapat, maka terbukti bahwa terdapat keanekaragaman gen 16S rRNA dari usus ikan nila yang dianalisis melalui teknik metagenom sequence-based.

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Research to know the genetic diversity of intestinal bacterias in Tilapia gut had been done using sequence-based metagenome. 16S rRNA gene amplification produced PCR fragment with 1550 bp length, then followed by sequencing of isolates from Outdoor Laboratory, Serpong (L1, L2); Saline Tilapia Ponds, Karawang (Mu, Pu); and Cirata Reservoir, Purwakarta (A1, C1). Identification six bacteria isolates based on BLAST showed that there are 4 different species of bacteria with the highest value of max identity.

Phylogenetic analysis using neighbor-joining method showed that L1, L2, and C1 isolates is close relatives to Orchrobacterum anthropi, while A1 isolates is close relative to Lysinibacillus boronitolerans, Pu isolate is having close relationship with Stenotrophomonas maltophilia, and Mu isolates with Cetobacterium somerae. Thus, based on the results, it is proven that there is 16S rRNA gene diversity from tilapia intestines using metagenome sequence-based method."

"Penelitian bertujuan mengetahui keanekaragaman bakteri Ktedonobacteria dari sampel tanah hutan di sekitar Geiser Cisolok, Jawa Barat dengan metode culture-dependent dan metode culture-independent. Isolasi bakteri menggunakan medium Reasoner's 2A (10%) dengan penambahan 2% gellan gum, cycloheximide, dan sodium azide. Inkubasi dilakukan pada suhu 30 oC selama 3 minggu. Amplifikasi gen 16S rRNA isolat bakteri menggunakan primer spesifik Ktedonobacteria (primer 161F dan 941R), dan primer universal bakteri (9F dan 1510R). Identitas isolat bakteri diperoleh berdasarkan data full sequence gen 16S rRNA melalui pencarian homologi pada EZBioCloud (www.ezbiocloud.net). Analisis filogenetik menggunakan metode Neighbour Joining, Maximum Evolution, dan Maximum Likelihood. Analisis keanekaragaman bakteri Ktedonobacteria menggunakan Next Generation Sequencing berdasarkan data partial sequence (daerah variabel V1--V3) dari gen 16S rRNA. Analisis data komposisi taksonomi bakteri dan indeks keanekaragaman menggunakan software QIIME2. Empat isolat Ktedonobacteria dengan kode K17-1, K17-2, K42, dan K44 berhasil diperoleh. Analisis filogenetik menunjukkan bahwa keseluruhan isolat merupakan anggota kelas Ktedonobacteria dan berada dalam satu grup dengan type strain Dictyobacter aurantiacus S-27T. Namun demikian, persentase homologi sequence gen 16S rRNA keempat isolat menunjukkan nilai yang rendah terhadap type strain Dictyobacter aurantiacus S-27T, yaitu 97.16 -- 98.02%. Berdasarkan nilai tersebut, keempat isolat yang diperoleh diduga merupakan spesies baru. Hasil analisis dengan software QIIME2 menunjukkan bahwa sampel tanah yang digunakan memiliki nilai indeks keanekaragaman bakteri yang tinggi, dengan nilai sebagai berikut: 6,49 (Shannon-Winner); 0,98 (Simpson); 177 (Chao1); dan 117 (Ace). Filum Acidobacteria, Proteobacteria dan Bacteriodetes, merupakan tiga filum dengan persentase paling besar pada sampel tanah, dengan nilai persentase masing-masing 44%, 25%, dan 9%. Kelas Ktedonobacteria pada filum Chloroflexi memiliki persentase yang sangat rendah, yaitu 1,89%. Namun demikian, analisis filogenetik data amplikon (culture-independent) menunjukkan bahwa Ktedonobacteria yang terdapat pada sampel tanah tersebar dalam 5 grup, yang seluruhnya mengindikasikan taksa baru. Penelitian ini menunjukkan bahwa metode culture-dependent hanya berhasil menemukan satu dari lima grup Ktedonobacteria yang berhasil dideteksi menggunakan metode culture-independent.

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The study aims to determine the diversity of Ktedonobacteria from forest soil samples around the Cisolok Geiser, West Java with culture-dependent and culture-independent methods. Bacterial isolation using Reasoner's 2A (10%) medium with 2% gellan gum, cycloheximide, and sodium azide. Incubation was carried out at 30 oC for three weeks. Amplification of 16S rRNA gene of bacterial isolates performed using Ktedonobacteria specific primers (primers 161F and 941R), and universal bacterial primers (9F and 1510R). The identity of bacterial isolates was obtained based on full 16S rRNA gene sequence data through a homology search on EZBioCloud (www.ezbiocloud.net). The phylogenetic analysis was performed by Neighbor-Joining, Maximum Evolution, and Maximum Likelihood methods. Analysis of Ktedonobacteria diversity using Next-Generation Sequencing based on partial sequence data (variable regions V1 -- V3) of the 16S rRNA gene. Analysis of bacterial taxonomy composition data and diversity index was conducted using QIIME2 software. Four isolates of Ktedonobacteria, namely K17-1, K17-2, K42, and K44, were successfully obtained. Phylogenetic analysis showed that all isolates were members of the class Ktedonobacteria and were in the same group as Dictyobacter aurantiacus S-27T. However, the percentage of homology of the 16S rRNA gene sequence of the four isolates showed a low value on the type strain of Dictyobacter aurantiacus S-27T, which accounted for 97.16 -- 98.02%. Based on these values, the four isolates obtained probably belonged to the new species. The results of the analysis with QIIME2 software showed that the soil samples had high bacterial diversity index values, with the following values: 6,49 (Shannon-Winner); 0,98 (Simpson); 177 (Chao1); and 117 (Ace). Phylum Acidobacteria, Proteobacteria, and Bacteriodetes are the three phyla with the largest percentage in soil samples, with percentage values of 44%, 25%, and 9%, respectively. Whereas the class Ktedonobacteria in the phylum Chloroflexi has a very low percentage, which is 1.89%. However, phylogenetic analysis of the amplicon data (culture-independent) showed that Ktedonobacteria found in soil samples distributed into five groups, indicating new taxa. In this study, culture-dependent methods found only one of the five groups of Ktedonobacteria that detected using the culture-independent method."