scholarly journals Single-Stranded Conformational Polymorphism Analysis Using Automated Capillary Array Electrophoresis Apparatuses

BioTechniques ◽  
2003 ◽  
Vol 34 (4) ◽  
pp. 746-750 ◽  
Author(s):  
S. Baba ◽  
Y. Kukita ◽  
K. Higasa ◽  
T. Tahira ◽  
K. Hayashi
Keyword(s):  
Polymorphism Analysis ◽  
Conformational Polymorphism ◽  
Capillary Array Electrophoresis ◽  
Single Stranded Conformational Polymorphism ◽  
Capillary Array

scholarly journals Detection of Newcastle Disease Virus Minor Genetic Variants by Modified Single-Stranded Conformational Polymorphism Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Lukasz Rabalski ◽  
Krzysztof Smietanka ◽  
Zenon Minta ◽  
Boguslaw Szewczyk
Keyword(s):  
Newcastle Disease ◽  
Diagnostic Method ◽  
Rna Virus ◽  
Economic Losses ◽  
Polymorphism Analysis ◽  
Gene Encoding ◽  
Conformational Polymorphism ◽  
Live Vaccines ◽  
Single Stranded Conformational Polymorphism ◽  
Pathogenic Virus

Newcastle disease and Avian Influenza are considered to be the most dangerous fowl diseases which may cause huge economic losses. Newcastle disease is caused by the enveloped, and single-stranded RNA virus (NDV, APMV-1; belonging to Paramyxoviridae family), which can be further divided into sixteen different genotypes grouped into five pathotypes according to their pathogenicity. It has been reported that low pathogenic virus can greatly increase its pathogenicity even during a single passage. Additionally, due to the widespread use of live vaccines, a mixture of two or more different viruses in one sample can be detected. Hence, there is a great need for establishment of fast, inexpensive, sensitive, and relatively simple diagnostic method for multistrain and quasispecies detection of NDV infection. In this paper we describe a diagnostic method based on RT-PCR followed by a modified version of single-stranded conformational polymorphism analysis using short DNA fragments of gene encoding viral F protein. The method allows for rapid diagnosis of genetic variant emerging from previously stable population which may prevent the spread of the pathogenic viral variant.

Variation in ovine KRTAP8-1 is associated with variation in wool fibre staple strength and curvature

2019 ◽  
Vol 157 (6) ◽  
pp. 550-554 ◽  
Author(s):  
H. Gong ◽  
H. Zhou ◽  
W. Li ◽  
J. Wang ◽  
S. Li ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Genetic Marker ◽  
Protein Gene ◽  
Wool Fibre ◽  
Polymorphism Analysis ◽  
Chain Reaction ◽  
Conformational Polymorphism ◽  
Single Stranded Conformational Polymorphism ◽  
Polymerase Chain ◽  
Staple Strength

AbstractKRTAP8-1 was the initial high-glycine-tyrosine keratin-associated protein gene recognized in sheep, but little is known about the functional influence of this gene. The current study used polymerase chain reaction-single stranded conformational polymorphism analysis to genotype KRTAP8-1 in 391 Southdown × Merino-cross sheep from six sire-lines. Five previously described variants (named A to E) of KRTAP8-1 were identified with frequencies of 67.0, 14.2, 7.0, 10.7 and 1.0%, respectively. Of the four variants (A, B, C and D) that occurred at a frequency greater than 5%, the presence of C was found to be associated with a reduction in mean fibre curvature (MFC) and the presence of D was associated with an increase in mean staple strength (MSS), whereas the presence of A had a trend of association with reduced MSS. Associations were not identified with other wool traits. These results suggest that variation in KRTAP8-1 affects MSS and MFC, and that KRTAP8-1 has the potential to be used as a genetic marker for improving these traits.

Microfabricated Capillary Array Electrophoresis: High-Throughput DNA Sequencing and Polymorphism Analysis

2001 ◽  
pp. 462-464
Author(s):  
Brian M. Paegel ◽  
Charles A. Emrich ◽  
Robert G. Blazej ◽  
Christopher J. Elkin ◽  
James R. Scherer ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
High Throughput ◽  
Polymorphism Analysis ◽  
Capillary Array Electrophoresis ◽  
High Throughput Dna Sequencing ◽  
Capillary Array
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