A model for the directional evolution of severe ocean storms

2018 ◽  
Vol 30 (1) ◽  
pp. e2541 ◽  
Author(s):  
S. Tendijck ◽  
E. Ross ◽  
D. Randell ◽  
P. Jonathan
Keyword(s):  
Directional Evolution

Directional evolution in germline microsatellite mutations

1996 ◽  
Vol 13 (4) ◽  
pp. 391-393 ◽  
Author(s):  
Craig R. Primmer ◽  
Hans Ellegren ◽  
Nicola Saino ◽  
Anders Pape Møller
Keyword(s):  
Directional Evolution

scholarly journals Evolutionary branching under slow directional evolution

2014 ◽  
Vol 360 ◽  
pp. 290-314 ◽  
Author(s):  
Hiroshi C. Ito ◽  
Ulf Dieckmann
Keyword(s):  
Evolutionary Branching ◽  
Directional Evolution

Virtual mutation and directional evolution of anti-amoxicillin ScFv antibody for immunoassay of penicillins in milk

2017 ◽  
Vol 517 ◽  
pp. 9-17 ◽  
Author(s):  
Xin He ◽  
Chang Fei Duan ◽  
Yong Hua Qi ◽  
Jun Dong ◽  
Geng Nan Wang ◽  
...  
Keyword(s):  
Scfv Antibody ◽  
Directional Evolution

scholarly journals A Nonstationary Markov Model Detects Directional Evolution in Hymenopteran Morphology

2015 ◽  
Vol 64 (6) ◽  
pp. 1089-1103 ◽  
Author(s):  
Seraina Klopfstein ◽  
Lars Vilhelmsen ◽  
Fredrik Ronquist
Keyword(s):  
Markov Model ◽  
Directional Evolution

scholarly journals DIRECTIONAL EVOLUTION OF STOCKINESS COEVOLVES WITH ECOLOGY AND LOCOMOTION IN LIZARDS

Evolution ◽  
2009 ◽  
Vol 63 (1) ◽  
pp. 215-227 ◽  
Author(s):  
Philip J. Bergmann ◽  
Jay J. Meyers ◽  
Duncan J. Irschick
Keyword(s):  
Directional Evolution

scholarly journals Deep phylogenetic-based clustering analysis uncovers new and shared mutations in SARS-CoV-2 variants as a result of directional and convergent evolution

2021 ◽  
Author(s):  
Danilo Rosa Nunes ◽  
Carla Torres Braconi ◽  
Louisa Ludwig-Begall ◽  
Clarice Weis Arns ◽  
Luiz Mario Ramos Janini ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Rna Virus ◽  
Point Mutations ◽  
Linear Perspective ◽  
Global Public Health ◽  
Health Crisis ◽  
Viral Spread ◽  
Novel Variants ◽  
Directional Evolution ◽  
The Usa

Nearly two decades after the last epidemic caused by a severe acute respiratory syndrome coronavirus (SARS-CoV), newly emerged SARS-CoV-2 quickly spread in 2020 and precipitated an ongoing global public health crisis. Both the continuous accumulation of point mutations, owed to the naturally imposed genomic plasticity of SARS-CoV-2 evolutionary processes, as well as viral spread over time, allow this RNA virus to gain new genetic identities, spawn novel variants and enhance its potential for immune evasion. Here, through an in-depth phylogenetic clustering analysis of upwards of 200,000 whole-genome sequences, we reveal the presence of not previously reported and hitherto unidentified mutations and recombination breakpoints in Variants of Concern (VOC) and Variants of Interest (VOI) from Brazil, India (Beta, Eta and Kappa) and the USA (Beta, Eta and Lambda). Additionally, we identify sites with shared mutations under directional evolution in the SARS-CoV-2 Spike-encoding protein of VOC and VOI, tracing a heretofore-undescribed correlation with viral spread in South America, India and the USA. Our evidence-based analysis provides well-supported evidence of similar pathways of evolution for such mutations in all SARS-CoV-2 variants and sub-lineages. This raises two pivotal points: the co-circulation of variants and sub-lineages in close evolutionary environments, which sheds light onto their trajectories into convergent and directional evolution (i), and a linear perspective into the prospective vaccine efficacy against different SARS-CoV-2 strains (ii).

scholarly journals Differences in the temporal dynamics of phenotypic selection among fitness components in the wild

2010 ◽  
Vol 278 (1711) ◽  
pp. 1572-1580 ◽  
Author(s):  
Adam M. Siepielski ◽  
Joseph D. DiBattista ◽  
Jeffrey A. Evans ◽  
Stephanie M. Carlson
Keyword(s):  
Adaptive Evolution ◽  
Mating Success ◽  
Temporal Dynamics ◽  
Phenotypic Selection ◽  
Wild Populations ◽  
Fitness Components ◽  
Average Strength ◽  
Directional Evolution ◽  
In The Wild

The balance of selection acting through different fitness components (e.g. fecundity, mating success, survival) determines the potential tempo and trajectory of adaptive evolution. Yet the extent to which the temporal dynamics of phenotypic selection may vary among fitness components is poorly understood. Here, we compiled a database of 3978 linear selection coefficients from temporally replicated studies of selection in wild populations to address this question. Across studies, we find that multi-year selection through mating success and fecundity is stronger than selection through survival, but varies less in direction. We also report that selection through mating success varies more in long-term average strength than selection through either survival or fecundity. The consistency in direction and stronger long-term average strength of selection through mating success and fecundity suggests that selection through these fitness components should cause more persistent directional evolution relative to selection through survival. Similar patterns were apparent for the subset of studies that evaluated the temporal dynamics of selection on traits simultaneously using several different fitness components, but few such studies exist. Taken together, these results reveal key differences in the temporal dynamics of selection acting through different fitness components, but they also reveal important limitations in our understanding of how selection drives adaptive evolution.

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