Phenotypic and Genomic Evolution during a 20,000-Generation Experiment with the BacteriumEscherichia coli

2010 ◽  
pp. 225-265 ◽  
Author(s):  
Richard E. Lenski
Keyword(s):  
Genomic Evolution

scholarly journals Genomic Evolution and Variation of SARS-CoV-2 in the Early Phase of COVID-19 Pandemic in Guangdong Province, China

2021 ◽  
Vol 41 (2) ◽  
pp. 228-235
Author(s):  
Bai-sheng Li ◽  
Zhen-cui Li ◽  
Yao Hu ◽  
Li-jun Liang ◽  
Li-rong Zou ◽  
...  
Keyword(s):  
Early Phase ◽  
Guangdong Province ◽  
Genomic Evolution

scholarly journals Summary of the Available Molecular Methods for Detection of SARS-CoV-2 during the Ongoing Pandemic

2021 ◽  
Vol 22 (3) ◽  
pp. 1298
Author(s):  
Fabio Arena ◽  
Simona Pollini ◽  
Gian Maria Rossolini ◽  
Maurizio Margaglione
Keyword(s):  
Genetic Variability ◽  
Viral Genome ◽  
Molecular Detection ◽  
In Silico Analysis ◽  
Laboratory Diagnosis ◽  
Mortality Rates ◽  
Genomic Evolution ◽  
Review Of The Literature ◽  
The Uk ◽  
Silico Analysis

Since early 2020, the COVID-19 pandemic has caused an excess in morbidity and mortality rates worldwide. Containment strategies rely firstly on rapid and sensitive laboratory diagnosis, with molecular detection of the viral genome in respiratory samples being the gold standard. The reliability of diagnostic protocols could be affected by SARS-CoV-2 genetic variability. In fact, mutations occurring during SARS-CoV-2 genomic evolution can involve the regions targeted by the diagnostic probes. Following a review of the literature and an in silico analysis of the most recently described virus variants (including the UK B 1.1.7 and the South Africa 501Y.V2 variants), we conclude that the described genetic variability should have minimal or no effect on the sensitivity of existing diagnostic protocols for SARS-CoV-2 genome detection. However, given the continuous emergence of new variants, the situation should be monitored in the future, and protocols including multiple targets should be preferred.

scholarly journals A Review of the Studies and Interactions ofPseudomonas syringaePathovars on Wheat

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Alberto J. Valencia-Botín ◽  
María E. Cisneros-López
Keyword(s):  
Pseudomonas Syringae ◽  
Seed Yield ◽  
Yield Components ◽  
Aleurone Layer ◽  
Genomic Evolution ◽  
Good Tool ◽  
Rapd Pcr ◽  
Spray Inoculation ◽  
Source Sink

Wheat is affected by some pathovars ofPseudomonas syringaeand by otherPseudomonasspecies. Of these,P. syringaepv.syringaeis the major one responsible for reduction. Recent studies have been made to characterize and identify the pathogen and to determine its aggressiveness and the pattern of colonization in seed and its effects on seed yield, yield components, and source-sink relationships during postanthesis. It was found that the reduction in the aerial biomass production is the best way to evaluate the aggressiveness of this bacterium, and the spray inoculation is good tool to make evaluations at seedling stage. The characterization of bacteria fingerprintings with molecular markers such as RAPD-PCR, ERIC, and REP-PCR is available. Genomic evolution has been elucidated with next-generation genome sequencing. Also, the colonization pattern shows that, early on, microcolonies are frequently detected in the aleurone layer, later in the endosperm and finally close to the crease and even in some cells of the embryo itself. In the wheat cultivars Seri M82 and Rebeca F2000 seed yield and its components are negatively affected. In general,P. syringaepv.syringaereduces the plant height, seed yield, and yield components, as well as the growth of most organs. When this bacterium attacks, the stems are the predominant sink organs and the leaf laminae and panicles are the predominant source organs.

scholarly journals Experimental Genomic Evolution: Extensive Compensation for Loss of DNA Ligase Activity in a Virus

2002 ◽  
Vol 19 (3) ◽  
pp. 230-238 ◽  
Author(s):  
D. Rokyta ◽  
M. R. Badgett ◽  
I. J. Molineux ◽  
J. J. Bull
Keyword(s):  
Dna Ligase ◽  
Genomic Evolution
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