scholarly journals Bean Genome Diversity Reveals the Genomic Consequences of Speciation, Adaptation, and Domestication

2019 ◽  
Author(s):  
Andrés J. Cortés ◽  
Paola Hurtado ◽  
Mathew W. Blair ◽  
María I. Chacón-Sánchez
Keyword(s):  
Genome Diversity

scholarly journals Diversity of SARS-CoV-2 isolates driven by pressure and health index

2021 ◽  
Vol 149 ◽  
Author(s):  
R. K. Sanayaima Singh ◽  
Md. Zubbair Malik ◽  
R. K. Brojen Singh
Keyword(s):  
Fractal Dimension ◽  
Severe Acute Respiratory Syndrome ◽  
Mutation Rate ◽  
Hurst Exponent ◽  
Viral Genome ◽  
Critical Pressure ◽  
Genome Organisation ◽  
Health Index ◽  
Genome Diversity ◽  
Fast Spreading

Abstract One of the main concerns about the fast spreading coronavirus disease 2019 (Covid-19) pandemic is how to intervene. We analysed severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) isolates data using the multifractal approach and found a rich in viral genome diversity, which could be one of the root causes of the fast Covid-19 pandemic and is strongly affected by pressure and health index of the hosts inhabited regions. The calculated mutation rate (mr) is observed to be maximum at a particular pressure, beyond which mr maintains diversity. Hurst exponent and fractal dimension are found to be optimal at a critical pressure (Pm), whereas, for P > Pm and P < Pm, we found rich genome diversity relating to complicated genome organisation and virulence of the virus. The values of these complexity measurement parameters are found to be increased linearly with health index values.

Sa536 GENOME DIVERSITY OF INTESTINAL ESCHERICHIA COLI STRAINS FROM PATIENTS WITH CROHN'S DISEASE AND HEALTHY INDIVIDUALS

2021 ◽  
Vol 160 (6) ◽  
pp. S-539
Author(s):  
Maria Siniagina ◽  
Maria Markelova ◽  
Alexander Laikov ◽  
Dilyara Khusnutdinova ◽  
Eugenia A. Boulygina ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Healthy Individuals ◽  
Genome Diversity

scholarly journals Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages

2017 ◽  
Vol 284 (1867) ◽  
pp. 20171540 ◽  
Author(s):  
Francesca Tassi ◽  
Stefania Vai ◽  
Silvia Ghirotto ◽  
Martina Lari ◽  
Alessandra Modi ◽  
...  
Keyword(s):  
Approximate Bayesian Computation ◽  
Cultural Influences ◽  
Archaeological Record ◽  
Genome Diversity ◽  
Early Neolithic ◽  
Late Neolithic ◽  
Demographic Models ◽  
European Languages ◽  
Complete Sequences ◽  
Approximate Bayesian

It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the late Neolithic, or from Anatolia in the Early Neolithic. Under the former hypothesis, people of the Globular Amphorae culture (GAC) would be descended from Eastern ancestors, likely representing the Yamnaya culture. However, nuclear (six individuals typed for 597 573 SNPs) and mitochondrial (11 complete sequences) DNA from the GAC appear closer to those of earlier Neolithic groups than to the DNA of all other populations related to the Pontic steppe migration. Explicit comparisons of alternative demographic models via approximate Bayesian computation confirmed this pattern. These results are not in contrast to Late Neolithic gene flow from the Pontic steppes into Central Europe. However, they add nuance to this model, showing that the eastern affinities of the GAC in the archaeological record reflect cultural influences from other groups from the East, rather than the movement of people.

scholarly journals A hybrid computational framework for intelligent inter-continent SARS-CoV-2 sub-strains characterization and prediction

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Moses Effiong Ekpenyong ◽  
Mercy Ernest Edoho ◽  
Udoinyang Godwin Inyang ◽  
Faith-Michael Uzoka ◽  
Itemobong Samuel Ekaidem ◽  
...  
Keyword(s):  
State Of The Art ◽  
Close Association ◽  
Contact Tracing ◽  
Genome Diversity ◽  
Cognitive Approach ◽  
Computational Framework ◽  
Machine Learning Methods ◽  
Global Initiative ◽  
Future Direction ◽  
Better Than

AbstractWhereas accelerated attention beclouded early stages of the coronavirus spread, knowledge of actual pathogenicity and origin of possible sub-strains remained unclear. By harvesting the Global initiative on Sharing All Influenza Data (GISAID) database (https://www.gisaid.org/), between December 2019 and January 15, 2021, a total of 8864 human SARS-CoV-2 complete genome sequences processed by gender, across 6 continents (88 countries) of the world, Antarctica exempt, were analyzed. We hypothesized that data speak for itself and can discern true and explainable patterns of the disease. Identical genome diversity and pattern correlates analysis performed using a hybrid of biotechnology and machine learning methods corroborate the emergence of inter- and intra- SARS-CoV-2 sub-strains transmission and sustain an increase in sub-strains within the various continents, with nucleotide mutations dynamically varying between individuals in close association with the virus as it adapts to its host/environment. Interestingly, some viral sub-strain patterns progressively transformed into new sub-strain clusters indicating varying amino acid, and strong nucleotide association derived from same lineage. A novel cognitive approach to knowledge mining helped the discovery of transmission routes and seamless contact tracing protocol. Our classification results were better than state-of-the-art methods, indicating a more robust system for predicting emerging or new viral sub-strain(s). The results therefore offer explanations for the growing concerns about the virus and its next wave(s). A future direction of this work is a defuzzification of confusable pattern clusters for precise intra-country SARS-CoV-2 sub-strains analytics.

Sign in / Sign up

Export Citation Format

Share Document