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The Relationship of Avian Influenza and Waterbirds in Creating Genetic Diversity and the Role of Waterbirds as Reservoir for Avian Influenza Hewajuli, Dyah Ayu; Dharmayanti, Ni Luh Putu Indi
Indonesian Bulletin of Animal and Veterinary Sciences Vol 22, No 1 (2012)
Publisher : Indonesian Animal Sciences Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.355 KB) | DOI: 10.14334/wartazoa.v22i1.971

Abstract

Outbreaks of Avian Influenza (AI) has enormous implications for poultry and human health.These outbreaks are caused by influenza A virus that belongS to the family of Orthomyxoviridae. These viruses are RNA viruses, negative polarity, and the envelope has segmented genom. Generally, Avian Influenza is a disease which originally occurred in birds with complex ecology including reassortment and transmission among different species of birds and mammals. The gene of AI virus can be transmitted among human and avian species as shown by the virus reasortantment that caused pandemic human influenza in 1957 and 1968. Pandemi in 1957 and 1968 were different from previously human viruses because the substitution of several genes are derived from avian viruses. Wild waterfowls especially Anseriformes (duck, muscovy duck and geese) and Charadriiformes (gulls, seabirds, wild birds) are the natural reservoirs for influenza type A viruses and play important role on the ecology and propagation of the virus. From this reservoir, influenza type A virus usually can be transmitted to other birds, mammals (including human) and caused outbreak of lethal diseases. Waterfowl that is infected with influenza A virus usually does not show any clinical symptoms. However, several reports stated that HPAI viruses can cause severe disease with neurogical disorders led to death in waterfowl. Migration of birds including waterfowls have active role in transmitting and spreading the disease. Movement of wild birds and inappropriate poultry trade transportation play a greater role as vector in spreading HPAI to humans. Ecological change of environment has also a great effect in spreading AI viruses. The spreading pattern of AI viruses is usually influenced by seasons, where the prevalence of AI was reported to be in the fall, winter and rainy seasons. Finally, the effective control strategies against the spreading of AI viruses is required. Programs of monitoring, surveilence and vaccination is part of the control strategies of AI viruse spreading besides other strategies that had been applied. Key words: Avian Influenza, reservoir of AI, waterbirds, migration
Identification and Characterization of Infectious Bronchitis Virus (IBV) in Indonesia Dharmayanti, Ni Luh Putu Indi; Indriani, Risa
JURNAL BIOLOGI INDONESIA Vol 13, No 1 (2017): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jbi.v13i1.3095

Abstract

ABSTRACTInfectious Bronchitis Virus (IBV) is an acute viral and highly infectious disease which attacks the respiratory system of chicken. The impact of economic losses is very large since it decreases the egg production and itcauses the abnormal of egg shapes, decreased of body weight and death. In Indonesia, the IBV disease is still a serious problem in poultry regarding to many variants which arise from mutations of the IB virus. The decreasing possibility of the vaccination effectiveness due to incompatibility of strains used towards the virus circulated in the field. The variants of IB virus have not been well-documented in Indonesia since the lack of characterization of this virus. In this study, we characterize the IB virus isolates obtained from our local outbreaks in the field in order to determine the variant of IB virus in Indonesia and provide recommendations for the improvements of IB vaccine seed viruses which is adapted to IB virus circulating in the field. The IB virus characterized in this study shows close genetic relationship with the IB virus from Taiwan and China. However, it did not correlate with the local IB virus that has been found previously.Keywords: Identification, Character, IBV, Indonesia
IDENTIFICATION AND CHARACTERIZATION OF INFECTIOUS BRONCHITIS VIRUS (IBV) IN INDONESIA Dharmayanti, Ni Luh Putu Indi; Indriani, Risa
JURNAL BIOLOGI INDONESIA Vol 13, No 1 (2017): JURNAL BIOLOGI INDONESIA
Publisher : Perhimpunan Biologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jbi.v13i1.3095

Abstract

ABSTRACTInfectious Bronchitis Virus (IBV) is an acute viral and highly infectious disease which attacks the respiratory system of chicken. The impact of economic losses is very large since it decreases the egg production and itcauses the abnormal of egg shapes, decreased of body weight and death. In Indonesia, the IBV disease is still a serious problem in poultry regarding to many variants which arise from mutations of the IB virus. The decreasing possibility of the vaccination effectiveness due to incompatibility of strains used towards the virus circulated in the field. The variants of IB virus have not been well-documented in Indonesia since the lack of characterization of this virus. In this study, we characterize the IB virus isolates obtained from our local outbreaks in the field in order to determine the variant of IB virus in Indonesia and provide recommendations for the improvements of IB vaccine seed viruses which is adapted to IB virus circulating in the field. The IB virus characterized in this study shows close genetic relationship with the IB virus from Taiwan and China. However, it did not correlate with the local IB virus that has been found previously.Keywords: Identification, Character, IBV, Indonesia
Pengembangan Sejumlah Primer untuk Reverse Transcriptase Polymerase Chain Reaction Guna Melacak Virus Flu Burung di Indonesia (DEVELOPMENt OF PRIMERS FOR REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION TO DETECT AVIAN INFLUENZA VIRUS IN INDONESIA) Ni Luh Putu Indi Dharmayanti; Risza Hartawan; Dyah Ayu Hewajuli
Jurnal Veteriner Vol 17 No 2 (2016)
Publisher : Faculty of Veterinary Medicine, Udayana University and Published in collaboration with the Indonesia Veterinarian Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.893 KB)

Abstract

Until recently, two clades of of avian influenza viruses (AIVs) designated as 2.3.2 and 2.2.3 havebeen circulating in Indonesia. Mutations of AIV genes have cretaed many more variants of the virus. It istherefore important to evaluate the appropriate methods used for the detection and diagnosis of AI virusin the field. Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) have been used as a standardmethod for detection of AIV in many laboratories in Indonesia. The success of RT-PCR for detection ofAIV virus is dependent on the nucleotide sequences of primer that match with the circulating of AIVs. Theaims of this study was to develop RT-PCR by designing primers for H5 subtype specific to the circulatingAIVs in the field. The primers were designed using Primer Design software, and optimization andvalidation of the primer were conducted using AIVs that have been characterized in the previous study.The primers were then used RT-PCR using AIV isolates from field samples and their sensitivity andspecificity were then determined. The results showed that the H5 primers designed in this study, H5-IDand H5-NLP, was able to detect the AIVs in field samples better than the H5-specific primers have beenused previously. In conclusion, H5 primers designed based on recent viruses in the field showed betterresults in the detection of AI virus as compared to the previous primers. As AIV-H5N1 subtype in the fieldwill continue to change and evolve, the use of primers designed in this study is recommended for diagnosisof H5 AIV.
Virtual Screening of Indonesian Herbal Compounds with Neuraminidase Inhibitor Activity against N2 Influenza Virus Protein: An in silico Study Nurjanah, Diana; Fadilah, Fadilah; Dharmayanti, Ni Luh Putu Indi
Molecular and Cellular Biomedical Sciences Vol 8, No 2 (2024)
Publisher : Cell and BioPharmaceutical Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21705/mcbs.v8i2.468

Abstract

Background: Neuraminidase inhibitor (NAI) is one of anti-influenza drugs recommended for use by the World Health Organization (WHO). However, after treatment with NAI drugs in human, resistance to influenza antiviral drugs is begun to rise. Therefore, identification of compounds from Indonesian herbal plants as natural inhibitors of the influenza virus neuraminidase protein needs to be conducted for the development of new anti-influenza drugs.Materials and methods: The crystal structure of the neuraminidase protein complex used in this study was obtained from the Protein Data Bank (PDB). Structure-based pharmacophore modeling was performed using LigandScout version 4.4.5 software. Indonesian herbal plant compounds were collected from the HerbalDB database. Protein and ligand processing was carried out using Autodock 4.2 software. The 3D interaction visualization was carried out with Autodock software, while 2D interaction visualization was carried out with LigPlot software. To determine the toxicity and drug-likeliness of the ligand, the test ligands that had the best docking results were predicted using SwissADME and AdmetSAR.Results: From the virtual screening results, 24 hits were found, and five compounds had the best binding energy among the 24 tested compounds, these were pollenitin (ΔG=-7.22 kcal/mol), OPC-4:0 (ΔG=-7.11 kcal/mol), 6-hydroxykaempferol (ΔG=-7.08 kcal/mol), 5,8-dihydroxy-7,4'-dimethoxyflavone (ΔG=-7.07 kcal/mol), and 3,5,6,7-tetrahydroxy-4'-methoxyflavone (ΔG=-6.95 kcal/mol). The best five compounds were then chosen for further analysis.Conclusion: OPC-4:0 is found to be the best compound for the NAI based on its binding energy, pharmacokinetics, toxicity, and drug-likeliness. Thus, OPC-4:0 might be a potential candidate as a NAI of HxN2 virus. Keywords: influenza, molecular docking, neuraminidase, resistance, virtual screening
IN SILICO ANALYSIS OF SMALL INTERFERING RNA TARGETING THE NUCLEOPROTEIN GENE OF INFLUENZA VIRUSES Hartawan, Risza; Ratnawati, Atik; Sendow, Indrawati; Dharmayanti, Ni Luh Putu Indi
Jurnal Bioteknologi dan Biosains Indonesia Vol. 11 No. 2 (2024)
Publisher : BRIN - Badan Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jbbi.11.2.8521

Abstract

Small interfering RNA (siRNA) is a promising therapeutic against viral infection, includ-ing Influenza viruses. However, the Influenza viruses have massive variants with high mutation rates. Therefore, the siRNAs could be futile against newly emerging viruses. Thus, this study aimed to analyze siRNAs targeting the nucleoprotein gene of Influen-za viruses. Using bioinformatic analyses, the siRNAs were simulated against 5 sub-types of Influenza viruses, including H1N1, H3N2, H5N1, H7N9, and H9N2. Bioinfor-matic tools for the folding structure of messenger RNA were utilized to select effective siRNA. As a result, 32 siRNA sequences targeting the nucleoprotein gene were identi-fied. The precision medicine concept seems applied to the siRNA treatment for the In-fluenza virus since each siRNA is effective in its respective virus target. Based on the nucleotide mismatch parameter, most siRNA does not have coverage for the multiple infections of all five subtypes of Influenza viruses, except for NP1089 and NP1496. Later, the secondary and tertiary structure analysis of messenger RNA demonstrated that siRNA has different circumstances in its RNA target position. Therefore, siRNA mapping based on the RNA folding structure approach provides a tool for selecting more effective sequences against Influenza virus infection. Both siRNA NP1089 and NP1496 were predicted to have similar effectivity in knocking down Influenza virus in-fection. Moreover, the cocktail application of siRNA treatment may be effective as an alternative strategy in matching co-infection of multiple Influenza virus subtypes.