Literature DB >> 30601678

Molecular Fitness Landscapes from High-Coverage Sequence Profiling.

Celia Blanco1, Evan Janzen1,2, Abe Pressman1,3, Ranajay Saha1, Irene A Chen2.   

Abstract

The function of fitness (or molecular activity) in the space of all possible sequences is known as the fitness landscape. Evolution is a random walk on the fitness landscape, with a bias toward climbing hills. Mapping the topography of real fitness landscapes is fundamental to understanding evolution, but previous efforts were hampered by the difficulty of obtaining large, quantitative data sets. The accessibility of high-throughput sequencing (HTS) has transformed this study, enabling large-scale enumeration of fitness for many mutants and even complete sequence spaces in some cases. We review the progress of high-throughput studies in mapping molecular fitness landscapes, both in vitro and in vivo, as well as opportunities for future research. Such studies are rapidly growing in number. HTS is expected to have a profound effect on the understanding of real molecular fitness landscapes.

Entities:  

Keywords:  deep mutational scanning; fitness landscape; high-throughput sequencing; ribozyme

Mesh:

Year:  2019        PMID: 30601678     DOI: 10.1146/annurev-biophys-052118-115333

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  16 in total

1.  Tuning environmental timescales to evolve and maintain generalists.

Authors:  Vedant Sachdeva; Kabir Husain; Jiming Sheng; Shenshen Wang; Arvind Murugan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-26       Impact factor: 11.205

Review 2.  How Do Cells Adapt? Stories Told in Landscapes.

Authors:  Luca Agozzino; Gábor Balázsi; Jin Wang; Ken A Dill
Journal:  Annu Rev Chem Biomol Eng       Date:  2020-06-07       Impact factor: 11.059

3.  Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.

Authors:  Yei-Chen Lai; Ziwei Liu; Irene A Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-25       Impact factor: 11.205

4.  Global fitness landscapes of the Shine-Dalgarno sequence.

Authors:  Syue-Ting Kuo; Ruey-Lin Jahn; Yuan-Ju Cheng; Yi-Lan Chen; Yun-Ju Lee; Florian Hollfelder; Jin-Der Wen; Hsin-Hung David Chou
Journal:  Genome Res       Date:  2020-05-18       Impact factor: 9.043

5.  EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides.

Authors:  Celia Blanco; Samuel Verbanic; Burckhard Seelig; Irene A Chen
Journal:  J Mol Evol       Date:  2020-06-11       Impact factor: 2.395

6.  Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA.

Authors:  Abe D Pressman; Ziwei Liu; Evan Janzen; Celia Blanco; Ulrich F Müller; Gerald F Joyce; Robert Pascal; Irene A Chen
Journal:  J Am Chem Soc       Date:  2019-04-05       Impact factor: 15.419

7.  Genotype network intersections promote evolutionary innovation.

Authors:  Devin P Bendixsen; James Collet; Bjørn Østman; Eric J Hayden
Journal:  PLoS Biol       Date:  2019-05-28       Impact factor: 8.029

8.  Evolving generalists in switching rugged landscapes.

Authors:  Shenshen Wang; Lei Dai
Journal:  PLoS Comput Biol       Date:  2019-10-01       Impact factor: 4.475

9.  The Single-Stranded RNA Bacteriophage Qβ Adapts Rapidly to High Temperatures: An Evolution Experiment.

Authors:  Md Tanvir Hossain; Toma Yokono; Akiko Kashiwagi
Journal:  Viruses       Date:  2020-06-12       Impact factor: 5.048

Review 10.  Promiscuous Ribozymes and Their Proposed Role in Prebiotic Evolution.

Authors:  Evan Janzen; Celia Blanco; Huan Peng; Josh Kenchel; Irene A Chen
Journal:  Chem Rev       Date:  2020-02-03       Impact factor: 60.622

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