Literature DB >> 28951202

Mutation and recombination in pathogen evolution: Relevance, methods and controversies.

Miguel Arenas1, Natalia M Araujo2, Catarina Branco3, Nadine Castelhano4, Eduardo Castro-Nallar5, Marcos Pérez-Losada6.   

Abstract

Mutation and recombination drive the evolution of most pathogens by generating the genetic variants upon which selection operates. Those variants can, for example, confer resistance to host immune systems and drug therapies or lead to epidemic outbreaks. Given their importance, diverse evolutionary studies have investigated the abundance and consequences of mutation and recombination in pathogen populations. However, some controversies persist regarding the contribution of each evolutionary force to the development of particular phenotypic observations (e.g., drug resistance). In this study, we revise the importance of mutation and recombination in the evolution of pathogens at both intra-host and inter-host levels. We also describe state-of-the-art analytical methodologies to detect and quantify these two evolutionary forces, including biases that are often ignored in evolutionary studies. Finally, we present some of our former studies involving pathogenic taxa where mutation and recombination played crucial roles in the recovery of pathogenic fitness, the generation of interspecific genetic diversity, or the design of centralized vaccines. This review also illustrates several common controversies and pitfalls in the analysis and in the evaluation and interpretation of mutation and recombination outcomes.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Evolutionary analysis; HBV evolution; HIV-1 evolution; Mutation; Pathogen evolution; Recombination

Mesh:

Substances:

Year:  2017        PMID: 28951202     DOI: 10.1016/j.meegid.2017.09.029

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  10 in total

1.  Integron-Derived Aminoglycoside-Sensing Riboswitches Control Aminoglycoside Acetyltransferase Resistance Gene Expression.

Authors:  Shasha Wang; Weizhi He; Wenxia Sun; Jun Zhang; Yaowen Chang; Dongrong Chen; Alastair I H Murchie
Journal:  Antimicrob Agents Chemother       Date:  2019-05-24       Impact factor: 5.191

Review 2.  Methodologies for Microbial Ancestral Sequence Reconstruction.

Authors:  Miguel Arenas
Journal:  Methods Mol Biol       Date:  2022

3.  Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

Authors:  Margaret C Steiner; Keylie M Gibson; Keith A Crandall
Journal:  Viruses       Date:  2020-05-19       Impact factor: 5.048

4.  Evolutionary analysis of exogenous and integrated HHV-6A/HHV-6B populations.

Authors:  Diego Forni; Rachele Cagliani; Mario Clerici; Uberto Pozzoli; Manuela Sironi
Journal:  Virus Evol       Date:  2020-04-30

Review 5.  Elucidation of Early Evolution of HIV-1 Group M in the Congo Basin Using Computational Methods.

Authors:  Marcel Tongo; Darren P Martin; Jeffrey R Dorfman
Journal:  Genes (Basel)       Date:  2021-04-02       Impact factor: 4.096

6.  Mapping Genetic Events of SARS-CoV-2 Variants.

Authors:  Luyao Qin; Jing Meng; Xiao Ding; Taijiao Jiang
Journal:  Front Microbiol       Date:  2022-07-14       Impact factor: 6.064

7.  Whole genome sequence analysis of equid gammaherpesvirus -2 field isolates reveals high levels of genomic diversity and recombination.

Authors:  Joanne M Devlin; Carol A Hartley; Adepeju E Onasanya; Charles El-Hage; Andrés Diaz-Méndez; Paola K Vaz; Alistair R Legione; Glenn F Browning
Journal:  BMC Genomics       Date:  2022-08-30       Impact factor: 4.547

8.  Could a New COVID-19 Mutant Strain Undermine Vaccination Efforts? A Mathematical Modelling Approach for Estimating the Spread of B.1.1.7 Using Ontario, Canada, as a Case Study.

Authors:  Mattew Betti; Nicola Bragazzi; Jane Heffernan; Jude Kong; Angie Raad
Journal:  Vaccines (Basel)       Date:  2021-06-03

9.  Genetic diversity and biogeography of T. officinale inferred from multi locus sequence typing approach.

Authors:  Mohammadjavad Jafari; Waheed Akram; Yanju Pang; Aqeel Ahmad; Shakeel Ahmed; Nasim Ahmad Yasin; Tehmina Anjum; Basharat Ali; Xiangdong Hu; Xiaohua Li; Shuang Dong; Qian Cai; Matteo Ciprian; Monika Bielec; Sheng Hu; Fatemeh Sefidkon; Xuebo Hu
Journal:  PLoS One       Date:  2018-09-18       Impact factor: 3.240

10.  Retrospective Analysis Shows That Most RHDV GI.1 Strains Circulating Since the Late 1990s in France and Sweden Were Recombinant GI.3P-GI.1d Strains.

Authors:  Joana Abrantes; Ana M Lopes; Evelyne Lemaitre; Harri Ahola; Fereshteh Banihashem; Clément Droillard; Stéphane Marchandeau; Pedro J Esteves; Aleksija Neimanis; Ghislaine Le Gall-Reculé
Journal:  Genes (Basel)       Date:  2020-08-09       Impact factor: 4.096

  10 in total

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