Genome-wide comparative analysis of codon usage bias and codon context patterns among cyanobacterial genomes

2017 ◽  
Vol 32 ◽  
pp. 31-39 ◽  
Author(s):  
Ratna Prabha ◽  
Dhananjaya P. Singh ◽  
Swati Sinha ◽  
Khurshid Ahmad ◽  
Anil Rai
2021 ◽  
Vol 35 (1) ◽  
pp. 657-664
Author(s):  
Ali Mostafa Anwar ◽  
Maha Aljabri ◽  
Mohamed El-Soda

Biomolecules ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 912
Author(s):  
Saadullah Khattak ◽  
Mohd Ahmar Rauf ◽  
Qamar Zaman ◽  
Yasir Ali ◽  
Shabeen Fatima ◽  
...  

The ongoing outbreak of coronavirus disease COVID-19 is significantly implicated by global heterogeneity in the genome organization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The causative agents of global heterogeneity in the whole genome of SARS-CoV-2 are not well characterized due to the lack of comparative study of a large enough sample size from around the globe to reduce the standard deviation to the acceptable margin of error. To better understand the SARS-CoV-2 genome architecture, we have performed a comprehensive analysis of codon usage bias of sixty (60) strains to get a snapshot of its global heterogeneity. Our study shows a relatively low codon usage bias in the SARS-CoV-2 viral genome globally, with nearly all the over-preferred codons’ A.U. ended. We concluded that the SARS-CoV-2 genome is primarily shaped by mutation pressure; however, marginal selection pressure cannot be overlooked. Within the A/U rich virus genomes of SARS-CoV-2, the standard deviation in G.C. (42.91% ± 5.84%) and the GC3 value (30.14% ± 6.93%) points towards global heterogeneity of the virus. Several SARS-CoV-2 viral strains were originated from different viral lineages at the exact geographic location also supports this fact. Taking all together, these findings suggest that the general root ancestry of the global genomes are different with different genome’s level adaptation to host. This research may provide new insights into the codon patterns, host adaptation, and global heterogeneity of SARS-CoV-2.


2021 ◽  
pp. 198646
Author(s):  
Siddiq Ur Rahman ◽  
Muhammad Abdullah ◽  
Abdul Wajid Khan ◽  
Muhammad Inam Ul Haq ◽  
Noor ul Haq ◽  
...  

2016 ◽  
Vol 95 (3) ◽  
pp. 537-549 ◽  
Author(s):  
VISHWA JYOTI BARUAH ◽  
SIDDHARTHA SANKAR SATAPATHY ◽  
BHESH RAJ POWDEL ◽  
ROCKTOTPAL KONWARH ◽  
ALAK KUMAR BURAGOHAIN ◽  
...  

Genomics ◽  
2020 ◽  
Vol 112 (4) ◽  
pp. 2695-2702 ◽  
Author(s):  
Xu-Yuan Liu ◽  
Yu Li ◽  
Kai-Kai Ji ◽  
Jie Zhu ◽  
Peng Ling ◽  
...  

2015 ◽  
Vol 196 ◽  
pp. 87-93 ◽  
Author(s):  
Juan Cristina ◽  
Pilar Moreno ◽  
Gonzalo Moratorio ◽  
Héctor Musto

2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Matías Castells ◽  
Matías Victoria ◽  
Rodney Colina ◽  
Héctor Musto ◽  
Juan Cristina

2017 ◽  
Author(s):  
Heather E. Machado ◽  
David S. Lawrie ◽  
Dmitri A. Petrov

1AbstractCodon usage bias (CUB), where certain codons are used more frequently than expected by chance, is a ubiquitous phenomenon and occurs across the tree of life. The dominant paradigm is that the proportion of preferred codons is set by weak selection. While experimental changes in codon usage have at times shown large phenotypic effects in contrast to this paradigm, genome-wide population genetic estimates have supported the weak selection model. Here we use deep genomic sequencing of twoDrosophila melanogasterpopulations to measure selection on synonymous sites in a way that allowed us to estimate the prevalence of both weak and strong selection. We find that selection in favor of preferred codons ranges from weak (|Nes| ∼ 1) to strong (|Nes| > 10). While previous studies indicated that selection at synonymous sites could be strong, this is the first study to detect and quantify strong selection specifically at the level of CUB. We suggest that the level of CUB in the genome is determined by the proportion of synonymous sites under no, weak, and strong selection. This model challenges the standard Li-Bulmer model and explains some of the longest-standing puzzles in the field.


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