Literature DB >> 30692195

A Shift in Aggregation Avoidance Strategy Marks a Long-Term Direction to Protein Evolution.

Scott G Foy1, Benjamin A Wilson1, Jason Bertram1, Matthew H J Cordes2, Joanna Masel3.   

Abstract

To detect a direction to evolution, without the pitfalls of reconstructing ancestral states, we need to compare "more evolved" to "less evolved" entities. But because all extant species have the same common ancestor, none are chronologically more evolved than any other. However, different gene families were born at different times, allowing us to compare young protein-coding genes to those that are older and hence have been evolving for longer. To be retained during evolution, a protein must not only have a function, but must also avoid toxic dysfunction such as protein aggregation. There is conflict between the two requirements: hydrophobic amino acids form the cores of protein folds, but also promote aggregation. Young genes avoid strongly hydrophobic amino acids, which is presumably the simplest solution to the aggregation problem. Here we show that young genes' few hydrophobic residues are clustered near one another along the primary sequence, presumably to assist folding. The higher aggregation risk created by the higher hydrophobicity of older genes is counteracted by more subtle effects in the ordering of the amino acids, including a reduction in the clustering of hydrophobic residues until they eventually become more interspersed than if distributed randomly. This interspersion has previously been reported to be a general property of proteins, but here we find that it is restricted to old genes. Quantitatively, the index of dispersion delineates a gradual trend, i.e., a decrease in the clustering of hydrophobic amino acids over billions of years.
Copyright © 2019 by the Genetics Society of America.

Entities:  

Keywords:  aggregation propensity; gene age; phylostratigraphy; protein folding; protein misfolding

Mesh:

Substances:

Year:  2019        PMID: 30692195      PMCID: PMC6456324          DOI: 10.1534/genetics.118.301719

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


  58 in total

Review 1.  The consensus concept for thermostability engineering of proteins.

Authors:  M Lehmann; L Pasamontes; S F Lassen; M Wyss
Journal:  Biochim Biophys Acta       Date:  2000-12-29

2.  Relation between protein stability, evolution and structure, as probed by carboxylic acid mutations.

Authors:  Raquel Godoy-Ruiz; Raul Perez-Jimenez; Beatriz Ibarra-Molero; Jose M Sanchez-Ruiz
Journal:  J Mol Biol       Date:  2004-02-13       Impact factor: 5.469

Review 3.  More than the sum of their parts: on the evolution of proteins from peptides.

Authors:  Johannes Söding; Andrei N Lupas
Journal:  Bioessays       Date:  2003-09       Impact factor: 4.345

4.  A comparative study of the relationship between protein structure and beta-aggregation in globular and intrinsically disordered proteins.

Authors:  Rune Linding; Joost Schymkowitz; Frederic Rousseau; Francesca Diella; Luis Serrano
Journal:  J Mol Biol       Date:  2004-09-03       Impact factor: 5.469

5.  How do thermophilic proteins resist aggregation?

Authors:  Anthony Mary Thangakani; Sandeep Kumar; Devadasan Velmurugan; Maria Siluvay Michael Gromiha
Journal:  Proteins       Date:  2012-01-04

6.  Translationally optimal codons associate with aggregation-prone sites in proteins.

Authors:  Yaelim Lee; Tong Zhou; Gian Gaetano Tartaglia; Michele Vendruscolo; Claus O Wilke
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

7.  Phylostratigraphic bias creates spurious patterns of genome evolution.

Authors:  Bryan A Moyers; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2014-10-13       Impact factor: 16.240

8.  How evolutionary pressure against protein aggregation shaped chaperone specificity.

Authors:  Frederic Rousseau; Luis Serrano; Joost W H Schymkowitz
Journal:  J Mol Biol       Date:  2005-11-28       Impact factor: 5.469

9.  An evolutionary trade-off between protein turnover rate and protein aggregation favors a higher aggregation propensity in fast degrading proteins.

Authors:  Greet De Baets; Joke Reumers; Javier Delgado Blanco; Joaquin Dopazo; Joost Schymkowitz; Frederic Rousseau
Journal:  PLoS Comput Biol       Date:  2011-06-23       Impact factor: 4.475

10.  Ensembl comparative genomics resources.

Authors:  Javier Herrero; Matthieu Muffato; Kathryn Beal; Stephen Fitzgerald; Leo Gordon; Miguel Pignatelli; Albert J Vilella; Stephen M J Searle; Ridwan Amode; Simon Brent; William Spooner; Eugene Kulesha; Andrew Yates; Paul Flicek
Journal:  Database (Oxford)       Date:  2016-02-20       Impact factor: 3.451

View more
  9 in total

1.  Evolution Rapidly Optimizes Stability and Aggregation in Lattice Proteins Despite Pervasive Landscape Valleys and Mazes.

Authors:  Jason Bertram; Joanna Masel
Journal:  Genetics       Date:  2020-02-27       Impact factor: 4.562

2.  Evolution and co-evolution: insights into the divergence of plant heat shock factor genes.

Authors:  Ramya Parakkunnel; K Bhojaraja Naik; C Susmita; Vanishree Girimalla; K Udaya Bhaskar; K V Sripathy; C S Shantharaja; S Aravindan; Sanjay Kumar; Suman Lakhanpaul; K V Bhat
Journal:  Physiol Mol Biol Plants       Date:  2022-05-19

3.  Mixing genome annotation methods in a comparative analysis inflates the apparent number of lineage-specific genes.

Authors:  Caroline M Weisman; Andrew W Murray; Sean R Eddy
Journal:  Curr Biol       Date:  2022-05-18       Impact factor: 10.900

4.  Random peptides rich in small and disorder-promoting amino acids are less likely to be harmful.

Authors:  Luke Kosinski; Nathan Aviles; Kevin Gomez; Joanna Masel
Journal:  Genome Biol Evol       Date:  2022-06-07       Impact factor: 4.065

5.  Universal and taxon-specific trends in protein sequences as a function of age.

Authors:  Jennifer E James; Sara M Willis; Paul G Nelson; Catherine Weibel; Luke J Kosinski; Joanna Masel
Journal:  Elife       Date:  2021-01-08       Impact factor: 8.140

6.  De novo gene birth.

Authors:  Stephen Branden Van Oss; Anne-Ruxandra Carvunis
Journal:  PLoS Genet       Date:  2019-05-23       Impact factor: 5.917

7.  Protein Abundance Biases the Amino Acid Composition of Disordered Regions to Minimize Non-functional Interactions.

Authors:  Benjamin Dubreuil; Or Matalon; Emmanuel D Levy
Journal:  J Mol Biol       Date:  2019-08-20       Impact factor: 5.469

8.  Intergenic ORFs as elementary structural modules of de novo gene birth and protein evolution.

Authors:  Chris Papadopoulos; Isabelle Callebaut; Jean-Christophe Gelly; Isabelle Hatin; Olivier Namy; Maxime Renard; Olivier Lespinet; Anne Lopes
Journal:  Genome Res       Date:  2021-11-22       Impact factor: 9.438

9.  The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database.

Authors:  Qian-Yuan Tang; Weitong Ren; Jun Wang; Kunihiko Kaneko
Journal:  Mol Biol Evol       Date:  2022-10-07       Impact factor: 8.800

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.