scholarly journals Perbandingan Metode Hierarchical Cluster Analysis untuk Analisis Keragaman Hayati Trypanosoma evansi dari Indonesia Berdasarkan Profil Protein (COMPARISON OF HIERARCHICAL CLUSTER ANALYSIS METHODS FOR BIODIVERSITY ANALYSIS OF TRYPANOSOMA EVANSI

2018 ◽  
Vol 18 (4) ◽  
pp. 516
Author(s):  
Didik Tulus Subekti ◽  
Ichwan Yuniarto ◽  
Sulinawati Sulinawati

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.

2018 ◽  
Vol 18 (4) ◽  
pp. 526
Author(s):  
Fitrine Ekawasti ◽  
Ichwan Yuniarto ◽  
Sulinawati Sulinawati ◽  
Didik Tulus Subekti

Surra outbreak in 2012 has led to more than 1,700 animals have died in the province of East Nusa Tenggara (NTT) Indonesia. Surra case sporadically continues throughout the year in various areas, especially Kalimantan, Banten as well as other areas. Some reports reveal differences in protein profiles among multiple isolates of T. evansi. Therefore the purpose of this research were to find out the protein profile of each isolate T. evansi in Indonesia and the possible biological differences among them. Eleven isolates originating from the province of East Nusa Tenggara, South Kalimantan and Central Kalimantan, Banten, Lampung and Bengkulu has been isolated and purified Using DEAE. Trypanosoma isolate were frezeethawing repeatedly to obtain soluble protein. Furthermore, soluble protein is treated with heating or without heating and then each was run on SDS PAGE with Coomassie Blue staining. The protein profiles of all isolates were compared each other. The results showed that eleven isolates of T. evansi in Indonesia has a very diverse protein profile. Then for the purposes of development of diagnostic kit can be used whole lysate cell (WCL) as stock antigen in serological test process.


Author(s):  
Ichwan Yuniarto ◽  
Didik T Subekti ◽  
Umi Cahyaningsih ◽  
Fadjar Satrija

This study aimed to determine whether the variant or biotype of Trypanosoma evansi can be seen from their polypeptide profiles using 12%sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS PAGE) stained with Brilliant Blue Commasie. The results generally showed thatthe molecular weight (MW) of polypeptides from nine isolates from East Java, Central Java, Banten, South Kalimantan, Central Kalimantan, andLampung provinces were in the range of 85.46 to 15.76 kD and each isolate has different polypeptide profile. Isolates A13 and A14 were isolatedfrom the same place but have different polypeptide profiles. Likewise, isolates S13 and S18 also have different polypeptide profiles despite beingisolated from the same place at the same time. On the other hand, isolate 372, 87, and 06 have different protein profiles but was classified in thesame biotype namely biotype I. Generally, the difference in protein profile actually more related to the biological diversity of the metabolism ofeach Trypanosoma evansi isolate from Indonesia.


2010 ◽  
Vol 55 (No. 6) ◽  
pp. 259-263 ◽  
Author(s):  
A. Aksakal

This study was carried out to determine the whole cell protein profiles of Salmonella serovars from chicken, turkey and sheep faeces by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). A total of 34 Salmonella strains were included in the study, 14 of them were isolated from chicken, 14 from turkey and six from sheep. SDS-PAGE was carried out using 12% (w/v) separating and 4% (w/v) stacking gels. The results showed more than 30 protein bands ranging in size from 97 kDa (kilodaltons) to below 14.4 kDa as determined by visual assessment of their approximate molecular masses. Protein bands of 78.1, 51.2, 41.5, 37.3, 35.1, 33.9, 30.7, 27.6, 25.4, and 24 kDa were detected in all Salmonella serovars. Salmonella strains used in this study were closely related and could not be differentiated depending on the whole cell protein profiles using SDS-PAGE.


2014 ◽  
Vol 104 (5) ◽  
pp. 639-651 ◽  
Author(s):  
J.T. Oh ◽  
J.H. Epler ◽  
C.S. Bentivegna

AbstractStudying aquatic benthic macroinvertebrates (BMIs) in the field requires accurate taxonomic identification, which can be difficult and time consuming. Conventionally, head capsule morphology has been used to identify wild larvae of Chironomidae. However, due to the number of species and possible damage and/or deformity of their head capsules, another supporting approach for identification is needed. Here, we provide hemoglobin (Hb) protein in hemolymph of chironomids as a new biomarker that may help resolve some of the ambiguities and difficulties encountered during taxonomic identification. Chironomids collected from two locations in Maine and New Jersey, USA were identified to the genus level and in some cases to the species-level using head capsule and body morphologies. The head capsule for a particular individual was then associated with a corresponding Hb protein profile generated from sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS–PAGE). Distinct Hb profiles were observed from one group (Thienemannimyia) and four genera (Chironomus, Cricotopus, Dicrotendipes, and Glyptotendipes) of chironomids. Several species were polymorphic, having more than one Hb profile and/or having bands of the same size as those of other species. However, major bands and the combination of bands could distinguish individuals at the genus and sometimes species-level. Overall, this study showed that Hb profiles can be used in combination with head capsule morphology to identify wild chironomids.


2009 ◽  
Vol 55 (2) ◽  
pp. 117-125 ◽  
Author(s):  
V. Vujanovic ◽  
S. Vidovic ◽  
M. R. Fernandez ◽  
P. Daida ◽  
D. Korber

A total of 91 isolates of Fusarium avenaceum were regrouped into 15 phenotypes and 10 vegetative compatibility groups showing specific one-dimensional sodium dodecyl sulphate polyacrylamide gel electrophoresis (1-D SDS–PAGE) protein profiles and less-specific internal transcribed spacer rDNA profiles. Each isolate possessed reproducible signature protein bands. Indeed, the unweighted pair group method with arithmetic averages clustering revealed that the protein profile of each group of isolates correlated with fungus virulence. The use of SDS–PAGE offers a simple and sensitive technique for routine differentiation between pathogenic and nonpathogenic isolates within unknown F. avenaceum populations. The discovery has significant implications for risk assessment of cereal yield to ensure food and feed safety. This low-cost approach has the potential to be optimized and extended to a broad spectrum of Fusarium head blight pathogens.


2015 ◽  
Vol 3 (2) ◽  
pp. 322-329 ◽  
Author(s):  
Gbenga Olorunshola Alege

This study was carried out to investigate the genetic diversity among 23 sesame (Sesamum indicum L.) accessions obtained from different agro-ecological localities from 10 different states across 4 geopolitical zones in Nigeria using evidence from Sodium Dodecyl Polyacrylamide Gel Electrophoresis (SDS-PAGE). Total seed protein of the studied plants resolved on 12% SDS-PAGE showed variations in numbers and intensity of bands among the different sesame accessions. Thirteen (13) major bands were recorded in this study. Lack of unique band and presence of common band (band 7) among the 23 studied sesame accessions indicate some levels of genetic affinity and evidence of common evolutionary origin of the sesame genotypes. This band can therefore be tagged as species specific band for discriminating Sesamum indicum. Cluster analysis grouped the 23 sesame genotypes into two clusters with similarity coefficient ranging from 0.42 to 0.96 which indicates existence of genetic diversity; therefore there is ample opportunity for improving the 23 sesame genotypes. Variations in protein bands observed among the 23 studied plants could be attributed to genomic changes taken place during species diversification. It can be concluded that genetic diversity existed among Nigerian sesame for the improvement of characters of interest. Accessions 9 (YOL), 15(OTT), 22 (OFF) and 23 (JAL) are therefore recommended for used in future breeding programs for the development of improved sesame varieties.Int J Appl Sci Biotechnol, Vol 3(2): 322-329 DOI: http://dx.doi.org/10.3126/ijasbt.v3i2.12734


1994 ◽  
Vol 21 (2) ◽  
pp. 152-159 ◽  
Author(s):  
C. M. Bianchi-Hall ◽  
R. D. Keys ◽  
H. T. Stalker

Abstract In the last 10 to 15 yr, the development of biotechnology and molecular techniques has allowed great advancements toward the identification of cultivars among plant species. In legumes, the success of cultivar identification depends on the species under investigation, the type and variability of genetic material found in cultivars, and the technology used for investigations. In this study, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was used to assess diversity of peanut (Arachis hypogaea L.) seed protein profiles. The objectives of this investigation were a) to assess diversity of protein profiles in peanuts for cultivar identification using SDS-PAGE and b) to determine the extent of variability of seed storage proteins (SSP) among samples of cultivars originating from different locations. The first study included 34 cultivars grown at Lewiston, NC and the second one included nine cultivars grown at six locations. The results of both studies indicated that it is possible to differentiate between subspecies but not to associate a particular profile with only one specific cultivar. Within subspecies, cultivars clustered in more than one group and most cultivars that grouped together were genetically related.


2017 ◽  
Vol 21 (2) ◽  
pp. 86
Author(s):  
Sarkono Sarkono ◽  
Soekarti Moeljopawiro ◽  
Bambang Setiaji ◽  
Langkah Sembiring

This study was carried out to analyze the suitability of the identification of four indigenous cellulose-producing acetic acid bacterial isolates (ANG29, KRE65, ANG32 and SAL53) based on the analysis of whole cellular protein profiles against identification based on phenotypic traits. Whole cellular protein profiles were determined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) method. The whole cellular protein profiles obtained from sample isolates, were compared with reference isolates for species identification. The results showed that based on visual observations can be determined as much as 12 bands of protein with a molecular weight of 19,099 KDa up to 132.182 KDa. Based on the analysis of protein bands were detected visually, fourth indigenous cellulose- producing acetic acid bacterial isolates in the study had a higher similarity profile to the reference strain Gluconacetobacter xylinus BTCC 769 compared with other reference strains namely G. hansenii NBRC 14820T. This condition is consistent with the results of the identification of fourth cellulose producing acetic acid bacterial isolates based on phenotypic traits. Thus, the whole cellular protein profiles by SDS-PAGE technique can be used as a one of method to identification of cellulose producing acetic acid bacterial isolates.


HortScience ◽  
1990 ◽  
Vol 25 (9) ◽  
pp. 1068d-1068 ◽  
Author(s):  
Gregory A. Lang ◽  
Joshua Tao

Plant dormancy research has long been stifled by the lack of appropriate biochemical markers to characterize the changing physiological status of dormant vegetative or reproductive buds. Two sets of experiments were conducted in an attempt to identify changes in soluble protein profiles during endodormancy of peach and blueberry reproductive apices. Bud samples from the peach cultivars `La Festival' (low chilling requirement) and `La White' (moderate chilling requirement) were taken every 15 days in the orchard during December and January, extracted for soluble proteins, and analyzed by one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Outshoots were forced at 25C in a growth chamber to determine the intensity of endodormancy. A further experiment utilized potted `Bluechip' and `Meader' (troth high chilling requirement) blueberry plants given varying periods of cold (4.5C) chamber treatment, followed by forcing at 25C in a growth chamber. Bud samples were taken following cold treatment for extraction and SDS-PAGE. The relationship of the resulting protein profiles to chilling unit accumulation and intensity of endodormancy will be discussed.


2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Jana Cibulková ◽  
Zdenek Šulc ◽  
Hana Řezanková ◽  
Sergej Sirota

The paper focuses on similarity and distance measures for binary data and their application in cluster analysis. There are 66 measures for binary data analyzed in the paper in order to provide a comprehensive insight into the problematics and to create their well-arranged overview. For this purpose, formulas by which they were defined are studied. In the next part of the research, the results of object clustering on generated datasets are compared, and the ability of measures to create similar or identical clustering solutions is evaluated. This is done by using chosen internal and external evaluation criteria, and comparing the assignments of objects into clusters in the process of hierarchical clustering. The paper shows which similarity measures and distance measures for binary data lead to similar or even identical results in hierarchical cluster analysis.


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