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INDONESIA
Indonesian Journal of Biotechnology
Published by Universitas Gadjah Mada
ISSN : 08538654     EISSN : 20892241     DOI : -
Core Subject : Science,
Biochemistry, Genetics & Molecular Biology Immunology & microbiology Materials Science & Nanotechnology
The Indonesian Journal of Biotechnology (IJBiotech) is an open access, peer-reviewed, multidisciplinary journal dedicated to the publication of novel research in all aspects of biotechnology, with particular attention paid to the exploration and development of natural products derived from tropical—and especially Indonesian—biodiversity. IJBiotech is published biannually and accepts original research articles featuring well-designed studies with clearly analyzed and logically interpreted results. A strong preference is given to research that has the potential to make significant contributions to both the field of biotechnology and society in general.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 26, No 4 (2021)" : 7 Documents clear
Isolation and characterization of α ‐amylase encoding gene in Bacillus amyloliquefaciens PAS Achmad Rodiansyah; Sitoresmi Prabaningtyas; Mastika Marisahani Ulfah; Ainul Fitria Mahmuda; Uun Rohmawati
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.61425

Abstract

Amylolytic bacteria are a source of amylase, which is an essential enzyme to support microalgae growth in the bioreactor for microalgae culture. In a previous study, the highest bacterial isolate to hydrolyze amylum (namely PAS) was successfully isolated from Ranu Pani, Indonesia, and it was identified as Bacillus amyloliquefaciens. That bacterial isolate (B. amyloliquefaciens PAS) also has been proven to accelerate Chlorella vulgaris growth in the mini bioreactor. This study aims to detect, isolate, and characterize the PAS’s α‐amylase encoding gene. This study was conducted with DNA extraction, amplification of α‐amylase gene with polymerase chain reaction (PCR) method with the specific primers, DNA sequencing, phylogenetic tree construction, and protein modeling. The result showed that α‐amylase was successfully detected in PAS bacterial isolate. The α‐amylase DNA fragment was obtained 1,468 bp and that translated sequence has an identity of about 98.3% compared to the B. amylolyquefaciens α‐amylase 3BH4 in the Protein Data Bank (PDB). The predicted 3D protein model of the PAS’s α‐amylase encoding gene has amino acid variations that predicted affect the protein’s structure in the small region. This research will be useful for further research to produce recombinant α‐amylase.
Analysis using top‐k skyline query of protein‐protein interaction reveals alpha‐synuclein as the most important protein in Parkinson’s disease Mohammad Romano Diansyah; Annisa Annisa; Wisnu Ananta Kusuma
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.63023

Abstract

Parkinson’s disease is the second‐most‐common neurodegenerative disorder and can reduce patients’ quality of life. The disease is caused by abnormalities in dopaminergic neurons, such as reactive oxygen species (ROS) imbalance leading to programmed cell death, protein misfolding, and vesicle trafficking. Protein‐protein interaction (PPI) analysis has been demonstrated to understand better candidate proteins that might contribute to multifactorial neurodegenerative diseases, particularly in Parkinson’s disease. PPI analysis can be obtained from experiments and computational predictions. However, experiment data is often limited in interactome coverage. Therefore, additional computational prediction methods are required to provide more comprehensive PPI information. PPI can be represented as protein‐protein networks and analyzed based on centrality measures. The previous study has shown that top‐k skyline query, a method using dominance rule‐based centrality measures, reveals important protein candidates in Parkinson’s diseases. This study applied the top‐k skyline query to PPIs containing experiment and prediction data to find important proteins in Parkinson’s disease. The result shows that alpha‐synuclein (SNCA) is the most important protein and is expected to be a potential biomarker candidate for Parkinson’s disease.
Isolation and identification of protease‐producing bacteria from sludge and sediment soil around Adama, Ethiopia Yeshaneh Adimasu Lemenh; Teshome Geremew Biru; Adinew Zewdu Chernet; Feleke Belachew Lema
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.63987

Abstract

Proteases are enzymes used in industries such the production and processing of detergents, food, leather, and silk. The aim of this study was to isolate and identify protease‐producing bacteria from a sludge disposal site and from sediments. Soil samples were collected separately from the selected area. Samples weighing 1 g were serially diluted and spread onto skim milk agar. A total of 16 bacteria species were isolated from the study samples. Four bacterial isolates showed high proteolytic activity and were selected for enzymatic study based on their zone of proteolysis. The isolates were identified based on biochemical tests. The results indicated that the isolated bacteria were E. coli (99.69%), Pseudomonas putrefaciens (Shewanella putrefaciens) (91.61%), Bacillus carboniphilus (92.78%), and Lysinibacillus sphaericus (98.4%). The crude protease enzymes produced by these bacterial isolates showed promising results for application in dehairing and destaining as detergent additives. Bacillus carboniphilus showed the best level of activity and was selected as the most potent protease‐producing bacteria for both dehairing and destaining ability. Soils from sludge disposal sites and sediments from around tannery wastes could be good sources from which to isolate alkaline protease‐producing bacteria.
Performance of CO1 and ITS2 nested PCR in molecular identification of ordinary scabies (Sarcoptes scabiei var. hominis) Gita Dwi Prasasty; Miftahurrizqiyah Miftahurrizqiyah; Chairil Anwar; Dwi Handayani; Dalilah Dalilah; Ahmad Ghiffari; Inda Astri Aryani; Nunuk Dyah Retno Lastuti; Afiat Berbudi
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.64472

Abstract

Scabies is a global disease with a high prevalence, causing morbidity and even mortality, especially in poor and developing countries. However, it is often misdiagnosed due to varied and unspecified lesions. The gold standard technique for diagnosis is a microscopic examination, which requires experienced experts in finding mites, mainly in ordinary scabies. CO1 and ITS2 genes have been widely used in molecular identification to detect Sarcoptes scabiei and its variants. This study aimed to determine and compare the sensitivity and specificity of CO1 and ITS2 S. scabiei genes to the microscopic examination of scabies skin scrapings. The skin scrapings of 52 subjects with scabies diagnosed by anamnesis, physical examination, and dermoscopic examination were examined under a microscope and analyzed by nested PCR. The diagnostic test result showed that the sensitivity of nested PCR of both CO1 and ITS2 genes to micro‐ scope examination was 100%. However, the specificity of both CO1 and ITS2 nested PCR was poor (24% and 0%). Hence, CO1 and ITS2 nested PCR could be more suitable for screening ordinary scabies in humans than the microscopic examination.
Plant growth‐promoting activity of endophytic bacteria from sweet sorghum (Sorghum bicolor (L.) Moench) Charlie Ester de Fretes; Donny Widianto; Yekti Asih Purwestri; Tri Rini Nuringtyas
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.64893

Abstract

Application of high levels of chemical fertilizers for optimal growth of sweet sorghum causes environmental degradation. Plant growth‐promoting bacteria have biotechnological importance because they can improve the growth and health of important agronomic plants. This study aimed to isolate, characterize, and identify endophytic bacteria associated with sweet sorghum (cv. KCS105), and also to study the inoculation effects of selected isolates on sorghum growth. In this study, 35 isolates were evaluated for their ability to support plant growth. The results showed that seven isolates were diazotrophic, six were capable of dissolving phosphate, six produced IAA and could detect ACC‐deaminase activity, and three inhibited the growth of pathogenic fungi. Nine isolates exhibiting mechanisms for promoting plant growth from the Alphaproteobacteria (Devosia), Firmicutes (Bacillus, Paenibacillus, Staphylococcus), and Actinobacteria (Microbacterium, Brachybacterium) phyla were identified. In addition, the Paenibacillus sp. BB7, Bacillus sp. PIB1B, and Bacillus sp. PLB1B isolates showed increasing effects on plant growth in greenhouse tests. Endophytic bacterial isolates which display plant growth‐promoting features can potentially be employed as biofertilizer agents. They may also address environmental damage problems resulting from the use of chemical fertilizers and pesticides.
In silico characterization and comparison of the fruit ripening related beta‐ amylase (BAM) gene family in banana genome A and B Erdianty Setiabudi; Karlia Meitha; Fenny Martha Dwivany
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.65142

Abstract

Banana is one of the most important commodities for maintaining global food security. Primary metabolic processes during the ripening of banana greatly affect post‐harvest quality, particularly in starch metabolism. The beta‐ amylase (BAM) gene family is known as a group of genes that plays an important role in starch metabolism regulation. In this study, we focused on the characterization and comparative analysis of the BAM gene family in DH Pahang and Pisang Klutuk Wulung (PKW) varieties, these being the AA and BB genomes, respectively. The sequences of BAM gene family were retrieved from the database of Musa acuminata ’DH Pahang’ and Musa balbisiana ’PKW’ genome, then structural and functional characterization was performed, followed by identification of cis‐acting elements in the BAM promoter regions. The results showed that the BAM gene family structure was relatively conserved in both genomes, and a putative BAM11 gene was found, the function of which has not been studied in other plants. Cis‐acting element analysis showed that they were distinct in the copy number and types of elements that were responsive to various phytohormones. This study suggested that the BAM genes involved in ripening are spatiotemporally regulated. However, further functional genomic analysis is required to describe the specific role and regulation of BAM genes during ripening in banana.
Identification of mercury‐resistant Streptomyces isolated from Cyperus rotundus L. rhizosphere and molecular cloning of mercury (II) reductase gene Wahyu Aristyaning Putri; Hanum Mukti Rahayu; Anis Uswatun Khasanah; Langkah Sembiring; Masashi Kawaichi; Yekti Asih Purwestri
Indonesian Journal of Biotechnology Vol 26, No 4 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.65989

Abstract

Streptomyces is one of mercury‐resistant bacteria which can convert Hg2+ into nontoxic Hg0 . This study aimed to identify mercury‐resistant Streptomyces present in the Cyperus rotundus rhizosphere from artisanal small‐scale gold mining (ASGM) area and clone merA gene to the cloning and expression vectors. Molecular identification was conducted using 16s rRNA gene with the maximum likelihood algorithms. Results revealed that the AS1 and AS2 strains were a group of Streptomyces ardesiacus and the BR28 strain was closed to Brevibacillus agri. The AS2 merA gene was cloned to pMD20 cloning vectors, pGEX‐5x‐1 and pET‐28c expression vectors. The transformation was successfully performed in BL21 and DH5α competent cells. The full length of the merA gene was confirmed to be 1,425 bp. This study is the first research on identifying mercury‐resistant Streptomyces and cloning the full‐length merA gene in Indonesia.

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