Literature DB >> 25316787

Viewing protein fitness landscapes through a next-gen lens.

Jeffrey I Boucher1, Pamela Cote1, Julia Flynn1, Li Jiang1, Aneth Laban1, Parul Mishra1, Benjamin P Roscoe1, Daniel N A Bolon2.   

Abstract

High-throughput sequencing has enabled many powerful approaches in biological research. Here, we review sequencing approaches to measure frequency changes within engineered mutational libraries subject to selection. These analyses can provide direct estimates of biochemical and fitness effects for all individual mutations across entire genes (and likely compact genomes in the near future) in genetically tractable systems such as microbes, viruses, and mammalian cells. The effects of mutations on experimental fitness can be assessed using sequencing to monitor time-dependent changes in mutant frequency during bulk competitions. The impact of mutations on biochemical functions can be determined using reporters or other means of separating variants based on individual activities (e.g., binding affinity for a partner molecule can be interrogated using surface display of libraries of mutant proteins and isolation of bound and unbound populations). The comprehensive investigation of mutant effects on both biochemical function and experimental fitness provide promising new avenues to investigate the connections between biochemistry, cell physiology, and evolution. We summarize recent findings from systematic mutational analyses; describe how they relate to a field rich in both theory and experimentation; and highlight how they may contribute to ongoing and future research into protein structure-function relationships, systems-level descriptions of cell physiology, and population-genetic inferences on the relative contributions of selection and drift.
Copyright © 2014 by the Genetics Society of America.

Entities:  

Keywords:  mutant effects; physiology; protein function; systems biology

Mesh:

Substances:

Year:  2014        PMID: 25316787      PMCID: PMC4196605          DOI: 10.1534/genetics.114.168351

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  74 in total

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5.  A biophysical protein folding model accounts for most mutational fitness effects in viruses.

Authors:  C Scott Wylie; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-24       Impact factor: 11.205

6.  Computational design of proteins targeting the conserved stem region of influenza hemagglutinin.

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Review 8.  Evolutionary biochemistry: revealing the historical and physical causes of protein properties.

Authors:  Michael J Harms; Joseph W Thornton
Journal:  Nat Rev Genet       Date:  2013-08       Impact factor: 53.242

9.  An efficient method for generating proteins with altered enzymatic properties: application to beta-lactamase.

Authors:  A R Oliphant; K Struhl
Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

10.  Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein.

Authors:  Daniel Melamed; David L Young; Caitlin E Gamble; Christina R Miller; Stanley Fields
Journal:  RNA       Date:  2013-09-24       Impact factor: 4.942

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  26 in total

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3.  RNA Structural Determinants of Optimal Codons Revealed by MAGE-Seq.

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5.  Systematic Mutant Analyses Elucidate General and Client-Specific Aspects of Hsp90 Function.

Authors:  Parul Mishra; Julia M Flynn; Tyler N Starr; Daniel N A Bolon
Journal:  Cell Rep       Date:  2016-04-07       Impact factor: 9.423

6.  Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning.

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Journal:  Cell Syst       Date:  2020-11-18       Impact factor: 10.304

7.  Collateral fitness effects of mutations.

Authors:  Jacob D Mehlhoff; Frank W Stearns; Dahlia Rohm; Buheng Wang; Erh-Yeh Tsou; Nisita Dutta; Meng-Hsuan Hsiao; Courtney E Gonzalez; Alan F Rubin; Marc Ostermeier
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8.  Balance between promiscuity and specificity in phage λ host range.

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9.  Systematic Mapping of Protein Mutational Space by Prolonged Drift Reveals the Deleterious Effects of Seemingly Neutral Mutations.

Authors:  Liat Rockah-Shmuel; Ágnes Tóth-Petróczy; Dan S Tawfik
Journal:  PLoS Comput Biol       Date:  2015-08-14       Impact factor: 4.475

10.  Determination of ubiquitin fitness landscapes under different chemical stresses in a classroom setting.

Authors:  David Mavor; Kyle Barlow; Samuel Thompson; Benjamin A Barad; Alain R Bonny; Clinton L Cario; Garrett Gaskins; Zairan Liu; Laura Deming; Seth D Axen; Elena Caceres; Weilin Chen; Adolfo Cuesta; Rachel E Gate; Evan M Green; Kaitlin R Hulce; Weiyue Ji; Lillian R Kenner; Bruk Mensa; Leanna S Morinishi; Steven M Moss; Marco Mravic; Ryan K Muir; Stefan Niekamp; Chimno I Nnadi; Eugene Palovcak; Erin M Poss; Tyler D Ross; Eugenia C Salcedo; Stephanie K See; Meena Subramaniam; Allison W Wong; Jennifer Li; Kurt S Thorn; Shane Ó Conchúir; Benjamin P Roscoe; Eric D Chow; Joseph L DeRisi; Tanja Kortemme; Daniel N Bolon; James S Fraser
Journal:  Elife       Date:  2016-04-25       Impact factor: 8.140

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