Molecular Analysis of Genetic Diversity of Pectobacterium carotovorum Subsp Carotovorum Isolated in Morocco by PCR Amplification of the 16S-23S Intergenic Spacer Region

2015 ◽  
Vol 7 (3) ◽  
pp. 102-110
Author(s):  
M. Amdan ◽  
H. Faquihi ◽  
M. Terta ◽  
M. Ennaji ◽  
R. Mhand
2002 ◽  
Vol 157 (1) ◽  
pp. 69-74 ◽  
Author(s):  
Pasquapina Ciarmela ◽  
Lucia Potenza ◽  
Luigi Cucchiarini ◽  
Sabrina Zeppa ◽  
Vilberto Stocchi

Author(s):  
Dindin H. Mursyidin ◽  
Purnomo Purnomo ◽  
Issirep Sumardi ◽  
Budi S. Daryono

Tidal swamp rice has long been cultivated by the local people of the South Kalimantan, Indonesia. This germplasm possess some important traits for adapted to a wide range of abiotic and biotic stresses. In this study, a total of sixteen cultivars of this germplasm, consisting of fifteen of the South Kalimantan Province and one of Sumatera Island, Indonesia (an outgroup) were analyzed, phylogenetically based on the chloroplast trnL-F and nuclear intergenic spacer region (IGS). The results showed that this germplasm has a relatively more extraordinary genetic diversity than other local rice germplasm. In a nucleotide level, this germplasm showed a genetic diversity of 0.61 for nuclear IGS and 0.58 for trnL-F. The phylogenetic reconstruction also exhibited that this germplasm has the unique illustration of phylogenetic trees, particularly for the combined sequence datasets. Thus, the results of our study would provide useful information for further understanding of evolutionary relationships of this germplasm and facilitate the efficient utilization of valuable genes for genetic improvement, particularly in the tidal swamp areas.


2020 ◽  
Vol 10 (9) ◽  
pp. 3261-3269
Author(s):  
Hannah C Halpern ◽  
Peng Qi ◽  
Robert C Kemerait ◽  
Marin T Brewer

Abstract To better understand the evolution of virulence we are interested in identifying the genetic basis of this trait in pathogenic fungi and in developing tools for the rapid characterization of variation in virulence among populations associated with epidemics. Fusarium oxysporum f. sp. vasinfectum (FOV) is a haploid fungus that causes devastating outbreaks of Fusarium wilt of cotton wherever it is grown. In the United States, six nominal races and eleven genotypes of FOV have been characterized based on the translation elongation factor (EF-1α) gene and intergenic spacer region (IGS), but it is unclear how race or genotype based on these regions relates to population structure or virulence. We used genotyping-by-sequencing to identify SNPs and determine genetic diversity and population structure among 86 diverse FOV isolates. Six individuals of Fusarium oxysporum closely related to FOV were genotyped and included in some analyses. Between 193 and 354 SNPs were identified and included in the analyses depending on the pipeline and filtering criteria used. Phylogenetic trees, minimum spanning networks (MSNs), principal components analysis (PCA), and discriminant analysis of principal components (DAPC) demonstrated that races and genotypes of FOV are generally not structured by EF-1α genotype, nor are they monophyletic groups with the exception of race 4 isolates, which are distinct. Furthermore, DAPC identified between 11 and 14 genetically distinct clusters of FOV, whereas only eight EF-1α genotypes were represented among isolates; suggesting that FOV, especially isolates within the widely distributed and common race 1 genotype, is more genetically diverse than currently recognized.


2000 ◽  
Vol 38 (4) ◽  
pp. 1698-1700 ◽  
Author(s):  
Véronique Roux ◽  
Susannah J. Eykyn ◽  
Sarah Wyllie ◽  
Didier Raoult

We report a case of endocarditis in a human infected withBartonella vinsonii subsp. berkhoffii, which causes bacteremia and endocarditis in dogs. Bacterial identification was established by PCR amplification and sequencing of an intergenic spacer region (ITS1), 16S ribosomal DNA, and a gene encoding citrate synthase (gltA). Bartonella antibodies were detected by immunofluorescence.


1999 ◽  
Vol 65 (9) ◽  
pp. 4264-4267 ◽  
Author(s):  
G. W. Tannock ◽  
A. Tilsala-Timisjarvi ◽  
S. Rodtong ◽  
J. Ng ◽  
K. Munro ◽  
...  

Lactobacillus isolates were identified by PCR amplification and sequencing of the region between the 16S and 23S rRNA genes (spacer region). The sequences obtained from the isolates were compared to those of reference strains held in GenBank. A similarity of 97.5% or greater was considered to provide identification. To check the reliability of the method, the V2-V3 region of the 16S rRNA gene was amplified and sequenced in the case of isolates whose spacer region sequences were less than 99% similar to that of a reference strain. Confirmation of identity was obtained in all instances. Spacer region sequencing provided rapid and accurate identification ofLactobacillus isolates obtained from gastrointestinal, yoghurt, and silage samples. It had an advantage over 16S V2-V3 sequence comparisons because it distinguished between isolates ofLactobacillus casei and Lactobacillus rhamnosus.


2001 ◽  
Vol 67 (10) ◽  
pp. 4479-4487 ◽  
Author(s):  
L. Ranjard ◽  
F. Poly ◽  
J.-C. Lata ◽  
C. Mougel ◽  
J. Thioulouse ◽  
...  

ABSTRACT Automated rRNA intergenic spacer analysis (ARISA) was used to characterise bacterial (B-ARISA) and fungal (F-ARISA) communities from different soil types. The 16S-23S intergenic spacer region from the bacterial rRNA operon was amplified from total soil community DNA for B-ARISA. Similarly, the two internal transcribed spacers and the 5.8S rRNA gene (ITS1-5.8S-ITS2) from the fungal rRNA operon were amplified from total soil community DNA for F-ARISA. Universal fluorescence-labeled primers were used for the PCRs, and fragments of between 200 and 1,200 bp were resolved on denaturing polyacrylamide gels by use of an automated sequencer with laser detection. Methodological (DNA extraction and PCR amplification) and biological (inter- and intrasite) variations were evaluated by comparing the number and intensity of peaks (bands) between electrophoregrams (profiles) and by multivariate analysis. Our results showed that ARISA is a high-resolution, highly reproducible technique and is a robust method for discriminating between microbial communities. To evaluate the potential biases in community description provided by ARISA, we also examined databases on length distribution of ribosomal intergenic spacers among bacteria (L. Ranjard, E. Brothier, and S. Nazaret, Appl. Environ. Microbiol. 66:5334–5339, 2000) and fungi.


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