PERBANDINGAN METODE HIERARCHICAL CLUSTER ANALYSIS UNTUK ANALISIS KERAGAMAN HAYATI BERDASARKAN PROFIL PROTEIN Trypanosoma evansi DARI INDONESIA
| Main Authors: | Subekti, Didik Tulus, Yuniarto, Ichwan, Sulinawati, Sulinawati |
|---|---|
| Other Authors: | Balai Besar Penelitian Veteriner dan Balai Veteriner Banjarbaru |
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Veterinary Medicine, Udayana University and Published in collaboration with the Indonesia Veterinarian Association
, 2018
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| Subjects: | |
| Online Access: |
http://ojs.unud.ac.id/index.php/jvet/article/view/19527 http://ojs.unud.ac.id/index.php/jvet/article/view/19527/22326 |
Daftar Isi:
- Hierarchical Clustering Analysis (HCA) telah lama diketahui bermanfaat untuk analisis keragaman hayati mikroorganisme berdasarkan profil protein dari SDS PAGE (sodium dodecyl sulphate polyacrylamide gel electrophoresis). Namun demikian, beragamnya metoda HCA akan menyebabkan keragaman hasil analisis yang berbeda satu dengan lainnya. Oleh sebab itu perlu dievaluasi untuk mengetahui metoda HCA yang paling sesuai untuk menggambarkan keragaman hayati berdasar profil protein isolat T.evansi dari Indonesia. Sebelas isolat yang berasal dari lokasi geografis berbeda dielektroforesis pada SDS PAGE. Selanjutnya profil protein dari SDS PAGE dikonversi menjadi data binari dan dianalisis menggunakan lima metoda HCA yaitu Average Linkage, Complete Linkage, Single Linkage, Ward Linkage dan McQuitty Linkage. Data juga dianalisis dengan multidimensional scaling (MDS) dan densitogram. Hasil analisis menunjukkan bahwa dendrogram dengan metoda Ward Linkage merupakan hasil yang terbaik dan bersesuaian dengan densitogram, MDS dan mampu menggambarkan asal usul isolat secara geografis.
- Hierarchical Clustering Analysis (HCA) has long been known to be useful for the analysis of biodiversity of microorganisms based on SDSPAGE protein profile (sodium dodecyl sulfate polyacrylamide gel electrophoresis). However, varying methods of HCA consequently produce variability of analysis results and interpretations. Therefore, it is necessary to evaluate and further determine the most appropriate method which could described the biodiversity based on protein profiles of T.evansi isolates from Indonesia. Eleven isolates of T.evansi from different geographic locations were run on SDS PAGE. Furthermore, SDS PAGE protein profiles from eleven isolates were converted into binary data and analyzed using five different methods of HCA i.e. Average Linkage, Complete Linkage, Single Linkage, Ward Linkage and McQuitty Linkage, respectively.Data were also analyzed by multidimensional scaling (MDS) and densitogram. The analysis showed that the dendrogram constructed with Ward Linkage gives the best results and corresponding with densitogram, MDS and able to describe the geographical origins of isolates.