scholarly journals Investigation of differences between wheat and barley  forms of Wheat dwarf virus and their distribution in host plants

2002 ◽  
Vol 38 (SI 1 - 6th Conf EFPP 2002) ◽  
pp. S43-S48 ◽  
Author(s):  
J. Schubert ◽  
A. Habekuß ◽  
F. Rabenstein

Wheat dwarf virus, a monogemini virus, infects several cereal species. Until now complete sequence data have been published only for wheat isolates. We cloned the complete DNA of 21 isolates from wheat, barley and Lolium spec. and compared the sequences with published data. Two types of the virus were found as previously described. Degree of entire nucleic acid homology between both isolates was in the range of 84%. The Large Intergenic Region showed most pronounced differences while the RepA gene was most conserved. No intermediate forms were found, though both isolates co-existed in the same hosts. Sequence data lead to the suggestion that they should be referred to as different viruses rather than strains of a virus.

1990 ◽  
Vol 79 (1) ◽  
pp. 158-162
Author(s):  
R. Topfer ◽  
B. Gronenborn ◽  
S. Schaefer ◽  
J. Schell ◽  
H.-H. Steinbiss

1986 ◽  
Vol 6 (5) ◽  
pp. 1529-1534 ◽  
Author(s):  
S A Lewis ◽  
N J Cowan

The origin of introns and their role (if any) in gene expression, in the evolution of the genome, and in the generation of new expressed sequences are issues that are understood poorly, if at all. Multigene families provide a favorable opportunity for examining the evolutionary history of introns because it is possible to identify changes in intron placement and content since the divergence of family members from a common ancestral sequence. Here we report the complete sequence of the gene encoding the 68-kilodalton (kDa) neurofilament protein; the gene is a member of the intermediate filament multigene family that diverged over 600 million years ago. Five other members of this family (desmin, vimentin, glial fibrillary acidic protein, and type I and type II keratins) are encoded by genes with six or more introns at homologous positions. To our surprise, the number and placement of introns in the 68-kDa neurofilament protein gene were completely anomalous, with only three introns, none of which corresponded in position to introns in any characterized intermediate filament gene. This finding was all the more unexpected because comparative amino acid sequence data suggest a closer relationship of the 68-kDa neurofilament protein to desmin, vimentin, and glial fibrillary acidic protein than between any of these three proteins and the keratins. It appears likely that an mRNA-mediated transposition event was involved in the evolution of the 68-kDa neurofilament protein gene and that subsequent events led to the acquisition of at least two of the three introns present in the contemporary sequence.


2004 ◽  
Vol 67 (7) ◽  
pp. 1335-1343 ◽  
Author(s):  
CHIEN-KU LIN ◽  
CHO-LIEN HUNG ◽  
SHU-CHEN HSU ◽  
CHENG-CHIH TSAI ◽  
HAU-YANG TSEN

Salmonella serovars are some of the major bacterial pathogens that can cause sporadic cases and outbreaks of foodborne illness. Based on the sequence data in the V3 region of the 16S rRNA gene, two PCR primer pairs have been designed for the detection of all serovars of Salmonella. However, none of these primers were specific for Salmonella because complete sequence homology with certain non-Salmonella strains has been found within each of them. Thus, the specificities of these two primer pairs could not rely on only one of the two primers. In this study, we modified our previous 16SFI primer by extending one base at the 5′ end and three bases at the 3′ end. The modified primer, 16S-Sal, was designed with one or more mismatched bases near the 3′ end of the primer annealing to the corresponding sequences of non-Salmonella strains. Such modification eliminates interference from Citrobacter freundii and Enterobacter cloacae as occurs with the 16SFI primer. When 16S-Sal and a degenerate primer, 16S-CCR, were used as a primer pair, detection specificity of Salmonella serovars was achieved. Because this primer pair was used for PCR detection of the salmonellae in food samples, such as whole milk and chicken meat, as low as 1 to 9 CFU/g (ml) of the food sample could be detected when a 8-h preculture step was performed prior to the PCR. For chicken meat, the endogenous microflora did not interfere with the PCR results.


Virus Genes ◽  
2013 ◽  
Vol 48 (1) ◽  
pp. 133-139 ◽  
Author(s):  
Jörg Schubert ◽  
Antje Habekuß ◽  
Beilei Wu ◽  
Thomas Thieme ◽  
Xifeng Wang

Author(s):  

Abstract A new distribution map is provided for Wheat dwarf virus. Geminiviridae: Mastrevirus. Hosts: wheat (Triticum aestivum), barley (Hordeum vulgare), oat (Avena sativa). Information is given on the geographical distribution in Europe (Austria, Bulgaria, Czech Republic, Finland, France, Germany, Hungary, Italy, Poland, Romania, Slovakia, Slovenia, Spain, Sweden, UK, Ukraine), Asia (China, Hebei, Qinghai, Shaanxi, Shanxi, Sichuan, Yunnan, Iran, Syria, Turkey), Africa (Tunisia Zambia).


Zootaxa ◽  
2021 ◽  
Vol 4970 (3) ◽  
pp. 533-546
Author(s):  
J. POORANI ◽  
R. G. BOOTH ◽  
R. GANDHI GRACY ◽  
C. ANURADHA ◽  
R. THANIGAIRAJ ◽  
...  

Life stages of Henosepilachna implicata (Mulsant), an economically important species of Epilachnini in India, are documented and illustrated. Mitochondrial DNA sequence data is provided for the first time for H. implicata with additional details on its host plants, distribution, and natural enemies. Its similarities and differences with other common pestiferous Henosepilachna spp. in India such as H. vigintioctopunctata (F.), H. septima (Dieke) and H. pusillanima (Mulsant) are discussed. Epilachna circularis Korschefsky, 1933 is found to be conspecific with H. implicata and is reduced to a junior synonym of the latter (new synonym). Notes are given on the distribution and natural enemies of some other species of Epilachnini of the Indian region.  


2006 ◽  
Vol 51 (5) ◽  
pp. 451-454 ◽  
Author(s):  
Qin Zan ◽  
Bo Wen ◽  
Yungang He ◽  
Yi Wang ◽  
Shuhua Xu ◽  
...  

2019 ◽  
Vol 21 (9) ◽  
Author(s):  
Hui Wang ◽  
Yan Liu ◽  
Lu Zhang ◽  
Jiban Kumar Kundu ◽  
Wenwen Liu ◽  
...  

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