scholarly journals Genetic Identification and Taxonomic Relationship of Mediterranean Mugilid Species Based on Mitochondrial 16S rDNA Sequence Data

2010 ◽  
Vol 9 (2) ◽  
pp. 336-341 ◽  
Author(s):  
Deniz Erguden ◽  
Mevlut Gurlek ◽  
Deniz Yaglioglu ◽  
Cemal Turan
Keyword(s):  
16S Rdna ◽  
Sequence Data ◽  
Rdna Sequence ◽  
Genetic Identification ◽  
16S Rdna Sequence ◽  
Taxonomic Relationship ◽  
Rdna Sequence Data ◽  
Mitochondrial 16S Rdna ◽  
Relationship Of

Anterastes davrazensis sp. n. (Orthoptera, Tettigoniidae): morphology, song and 16S rDNA phylogeny

Zootaxa ◽  
2012 ◽  
Vol 3401 (1) ◽  
pp. 49 ◽  
Author(s):  
SARP KAYA ◽  
DRAGAN CHOBANOV ◽  
BATTAL ÇIPLAK
Keyword(s):  
New Species ◽  
16S Rdna ◽  
Sequence Data ◽  
Phylogenetic Analyses ◽  
Strong Support ◽  
16S Rdna Sequence ◽  
Rdna Sequence Data ◽  
Male Calling ◽  
Relationship Of ◽  
The Relationship

The new species Anterastes davrazensis sp. n. (Orthoptera, Tettigoniidae) is described from south-eastern Turkey. Description, diagnosis and relationships of the new species were studied utilizing morphology, male calling songs and 16S rDNA sequence data from all species in the genus. Morphology and song syllable structure indicate A. davrazensis sp. n. is related to A. uludaghensis. Phylogenetic analyses based on representative haplotypes of 16S rDNA, using Sureyaella bella, Parapholidoptera distincta and Bolua turkiyae as outgroups, also suggested strong support to the relationship of these two species. A. davrazensis sp. n. differs from its closest relative A. uludaghensis by the higher number of stridulatory pegs and the song, consisting of irregular syllable groups.

Biochemical analysis, cpn60 and 16S rDNA sequence data indicate that Streptococcus suis serotypes 32 and 34, isolated from pigs, are Streptococcus orisratti

2005 ◽  
Vol 107 (1-2) ◽  
pp. 63-69 ◽  
Author(s):  
Janet E. Hill ◽  
Marcelo Gottschalk ◽  
Roland Brousseau ◽  
Josée Harel ◽  
Sean M. Hemmingsen ◽  
...  
Keyword(s):  
16S Rdna ◽  
Biochemical Analysis ◽  
Sequence Data ◽  
Streptococcus Suis ◽  
Rdna Sequence ◽  
16S Rdna Sequence ◽  
Rdna Sequence Data

Systematics of Scorpaeniformes Species in the Mediterranean Sea Inferred from Mitochondrial 16S rDNA Sequence and Morphological Data

2009 ◽  
Vol 57 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Cemal Turan ◽  
Islam Gunduz ◽  
Mevlüt Gurlek ◽  
Deniz Yaglioglu ◽  
Deniz Erguden
Keyword(s):  
Mediterranean Sea ◽  
16S Rdna ◽  
Rdna Sequence ◽  
Morphological Data ◽  
16S Rdna Sequence ◽  
Mitochondrial 16S Rdna ◽  
The Mediterranean

Development and Evaluation of 16S rDNA Microarray for Detecting Bacterial Pathogens in Cerebrospinal Fluid

2005 ◽  
Vol 230 (8) ◽  
pp. 587-591 ◽  
Author(s):  
Yi Liu ◽  
Jin-Xiang Han ◽  
Hai-Yan Huang ◽  
Bo Zhu
Keyword(s):  
Cerebrospinal Fluid ◽  
16S Rdna ◽  
Culture Media ◽  
Sequence Data ◽  
Rapid Identification ◽  
Universal Primers ◽  
16S Rdna Sequence ◽  
Rdna Sequence Data ◽  
Identification Of Bacteria ◽  
Culture Positive

The rapid identification of bacteria in cerebrospinal fluid (CSF) is very Important for patient management and antimicrobial therapies. We developed a 16S DNA microarray–based method that targets 16S rDNA and can directly detect bacteria from CSF without cultivation. Universal primers and specific probes were designed from the 16S rDNA sequence data retrieved directly from the GenBank database. The specificity of the assay is obtained through a combination of microarray hybridization and enzymatic labeling of the constructed specific probes. Cultivation-dependent assays were used as reference methods in the development and evaluation of the method. With the exception of Mycobacterium tuberculosis and Proteus mirabilis, forty-five positive blood culture media were successfully differentiated. When this procedure was applied directly to 100 CSF specimens, 29 specimens from 16 patients were positive by bacterial culture and 3 culture-positive CSF specimens produced no hybridized signals. The remaining 26 specimens were correctly identified, including one with mixed infection. The accuracy, sensitivity, and specificity of the assay can be increased further by designing more oligonucleotides for the microarray. This method is versatile and makes it possible to detect more bacteria in a single assay and discriminate different bacterial genera.

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