Coleus blumei viroid 6: a new tentative member of the genus Coleviroid derived from natural genome shuffling

2009 ◽  
Vol 154 (6) ◽  
pp. 993-997 ◽  
Author(s):  
Wan-Ying Hou ◽  
Shi-Fang Li ◽  
Zu-Jian Wu ◽  
Dong-Mei Jiang ◽  
Teruo Sano
Keyword(s):  
Genome Shuffling ◽  
Coleus Blumei ◽  
Tentative Member

Optimization of Protoplast Formation, Regeneration, and Viability in Sorangium cellulosum

2020 ◽  
Vol 861 ◽  
pp. 303-308
Author(s):  
Guo Li Gong ◽  
Zhi Qiang Liu
Keyword(s):  
Secondary Metabolites ◽  
Drug Development ◽  
Cancer Cells ◽  
Anticancer Drug ◽  
Genome Shuffling ◽  
Protoplast Formation ◽  
Sorangium Cellulosum ◽  
Factors Affecting ◽  
Microtubule Stabilization ◽  
Cytotoxic Macrolide

Sorangium cellulosum can product many secondary metabolites that is unique structural and makes these microorganisms highly attractive for drug development, especially epothilone, on cancer cells a cytotoxic macrolide which is naturally produced by Soxhlet cellulose that have the action of microtubule stabilization, is a promising anticancer drug. In this research, the factors affecting the regeneration and preparation of the protoplast of Sorangium cellulosum were discussed, those were regeneration media, enzymes and osmotic stabilizers. This study provide the distruction for improving the production of epothilone through genome shuffling, mutation, fusion and transformation.

Probabilistic models of genome shuffling

1989 ◽  
Vol 51 (1) ◽  
pp. 117-124 ◽  
Author(s):  
David Sankoff ◽  
Martin Goldstein
Keyword(s):  
Probabilistic Models ◽  
Genome Shuffling

scholarly journals Large-scale robot-assisted genome shuffling yields industrial Saccharomyces cerevisiae yeasts with increased ethanol tolerance

2015 ◽  
Vol 8 (1) ◽  
pp. 32 ◽  
Author(s):  
Tim Snoek ◽  
Martina Picca Nicolino ◽  
Stefanie Van den Bremt ◽  
Stijn Mertens ◽  
Veerle Saels ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Large Scale ◽  
Ethanol Tolerance ◽  
Genome Shuffling ◽  
Robot Assisted

Enhancement of ε-poly-lysine production in ε-poly-lysine-tolerant Streptomyces sp. by genome shuffling

2015 ◽  
Vol 38 (9) ◽  
pp. 1705-1713 ◽  
Author(s):  
Yong-Peng Zhou ◽  
Xi-Dong Ren ◽  
Liang Wang ◽  
Xu-Sheng Chen ◽  
Zhong-Gui Mao ◽  
...  
Keyword(s):  
Genome Shuffling ◽  
Lysine Production ◽  
Streptomyces Sp

scholarly journals Genome Shuffling of Mangrove EndophyticAspergillus luchuensisMERV10 for Improving the Cholesterol-Lowering Agent Lovastatin under Solid State Fermentation

Mycobiology ◽  
2016 ◽  
Vol 44 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Mervat Morsy Abbas Ahmed El-Gendy ◽  
Hind A. A. Al-Zahrani ◽  
Ahmed Mohamed Ahmed El-Bondkly
Keyword(s):  
Solid State ◽  
Solid State Fermentation ◽  
Genome Shuffling ◽  
Cholesterol Lowering

scholarly journals Revisiting Orthotospovirus Phylogeny Using Whole Genomic Data and a Hypothesis for their Geographic Origin and Diversification

2020 ◽  
Author(s):  
Anamarija Butković ◽  
Rubén González ◽  
Santiago F. Elena
Keyword(s):  
Phylogenetic Relationships ◽  
Geographic Origin ◽  
Genome Shuffling ◽  
Genomic Data ◽  
Genomic Sequences ◽  
Genome Database ◽  
Evolutionary Forces ◽  
The Family ◽  
Plant Families ◽  
Negative Sense

ABSTRACTThe family Tospoviridae, a member of the Bunyavirales order, is constituted of tri-segmented negative-sense single-stranded RNA viruses that infect plants and are also able of replicating in their insect vectors in a persistent manner. The family is composed of a single genus, the Orthotospovirus, whose type species is Tomato spotted wilt virus (TSWV). Previous studies assessing the phylogenetic relationships within this genus were based upon partial genomic sequences, thus resulting in unresolved clades and a poor assessment of the roles of recombination and genome shuffling during mixed infections. Complete genomic data for most Orthotospovirus species are now available at NCBI genome database. In this study we have used 62 complete genomes from 20 species. Our study confirms the existence of four phylogroups (A to D), grouped in two major clades (A-B and C-D), within the genus. We have estimated the split between the two major clades ∼3,100 years ago shortly followed by the split between the A and B phylogroups ∼2,860 years ago. The split between the C and D phylogroups happened more recently, ∼1,465 years ago. Segment reassortment has been shown to be important in the generation of novel viruses. Likewise, within-segment recombination events have been involved in the origin of new viral species. Finally, phylogeographic analyses of representative viruses suggests the Australasian ecozone as the possible origin of the genus, followed by complex patterns of migration, with rapid global spread and numerous reintroduction events.IMPORTANCEMembers of the Orthotospovirus genus infect a large number of plant families, including food crops and ornamentals, resulting in multimillionaire economical losses. Despite this importance, phylogenetic relationships within the genus were established years ago based in partial genomic sequences. A peculiarity of orthotospoviruses is their tri-segmented negative sense genomes, which makes segment reassortment and within-segment recombination, two forms of viral sex, potential evolutionary forces. Using full genomes from all described orthotospovirus species, we revisited their phylogeny and confirmed the existence of four major phylogroups with uneven geographic distribution. We have also shown a pervasive role of sex in the origin of new viral species. Finally, using Bayesian phylogeographic methods, we assessed the possible geographic origin and historical dispersal of representative viruses from the different phylogroups.

scholarly journals Application of DNA Shuffling as a Tool for Hydrolase Activity Improvement of Pseudomonas Strain

2020 ◽  
Vol 11 (1) ◽  
pp. 7735-7745
Keyword(s):  
Protein Engineering ◽  
Protoplast Fusion ◽  
Concentration Gradient ◽  
First Generation ◽  
Human Life ◽  
Genome Shuffling ◽  
Dna Shuffling ◽  
High Concentration ◽  
Mutant Strains ◽  
High Concentrations

Biotechnology is considered one of the most influential technologies in various areas of human life, including health, economics, and the environment. Protein engineering is one of the major biotechnology tools in the field of modification and advancement of biocatalysts capabilities. Among the most effective protein engineering methods, in particular, to improve the industrial strain capabilities, is the shuffling genome method. This study aimed to follow knowledge and biocatalysts engineering techniques based on DNA shuffling methods. In the first step, two procedures were followed (DES method and compatibility according to the concentration gradient of Diazinon) to obtain mutant strains. Acquired mutant strains from both methods were resistant to high concentrations of poison up to 3000 mg/L. The activity of these strains also demonstrated their elevated activity compared to parent samples. The highest activity was related to four strains IR1.G1, IR1.D8, IR1.D4, and IR1.D5, which were 0.234 U/ml, 0.1 U/ml, 0.098 U/ml, and 0.066 U/ml, respectively. The improved strain was obtained via the concentration gradient of the diazinon method (IRL1.G1 strain) in comparison with IRL1.D8 strain (owning highest activity through DES method) possesses excessive activity in 3000 mg/L concentration of Diazinon. The evaluated results of first-generation genome shuffling of strains (the first round of protoplast fusion) also indicated that those shuffled strains with the ability to grow in the vicinity of the toxin (3000 mg/L concentration of Diazinon) showed better activity than obtained mutated strains by both methods (concentration gradient of the toxin and the DES method). In the final stage, the best results were related to IRL1.F2, IRL1.F3, and IRL1.F1 shuffled strains with 0.541 mg/L, 0.523 mg/L, and 0.509 mg/L, respectively. The highest activity belonged to the IRL1.F2 genome shuffled strain (first round of protoplast fusion). This strain could grow in a high concentration of toxin, and also, the activity was increased 30, 3.6, and 2.3 times in comparison with the parent strain (IRL1), IRL.D8 mutant, and IRL1.G1, respectively.

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