Literature DB >> 31820049

Evolutionary Forces and Codon Bias in Different Flavors of Intrinsic Disorder in the Human Proteome.

Sergio Forcelloni1, Andrea Giansanti2,3.   

Abstract

In this study, we perform a systematic analysis of evolutionary forces (i.e., mutational bias and natural selection) that shape the codon usage bias of human genes encoding proteins characterized by different flavors of intrinsic disorder. Well-structured proteins are expected to be more under control by purifying natural selection than intrinsically disordered proteins because one or few mutations (even synonymous) in the genes can result in a protein that no longer folds correctly. On the contrary, intrinsically disordered proteins are thought to evolve more rapidly than well-folded proteins, due to a relaxed purifying natural selection and an increased role of mutational bias. Using different bioinformatic tools, we find evidence that codon usage in IDPs is not only affected by a basic mutational bias, but it is also more selectively constrained than the rest of the human proteome. We speculate that intrinsically disordered proteins have not only a high tolerance to mutations but also a selective propensity to preserve their structural disorder under physiological conditions. Additionally, we confirm not only that intrinsically disordered proteins are preferentially encoded by GC-rich genes, but also that they are characterized by the highest fraction of CpG sites in the sequences, implying a higher susceptibility to methylation resulting in C-T transition mutations. Overall, our results corroborate the essential role of intrinsic disorder for the evolutionary adaptability and evolvability of proteins, offering new insight about protein evolution not only in terms of functional properties and roles in diseases but also in terms of evolutionary forces they are subjected to.

Entities:  

Keywords:  Codon usage bias; Human proteome; Intrinsically disordered protein; Mutational bias; Natural selection; Neutral evolution

Mesh:

Substances:

Year:  2019        PMID: 31820049     DOI: 10.1007/s00239-019-09921-4

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  86 in total

1.  DNA G+C content of the third codon position and codon usage biases of human genes.

Authors:  N Sueoka; Y Kawanishi
Journal:  Gene       Date:  2000-12-30       Impact factor: 3.688

Review 2.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

Authors:  P E Wright; H J Dyson
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

3.  Transcription-associated mutational asymmetry in mammalian evolution.

Authors:  Phil Green; Brent Ewing; Webb Miller; Pamela J Thomas; Eric D Green
Journal:  Nat Genet       Date:  2003-03-03       Impact factor: 38.330

Review 4.  Natively unfolded proteins.

Authors:  Anthony L Fink
Journal:  Curr Opin Struct Biol       Date:  2005-02       Impact factor: 6.809

5.  Accounting for background nucleotide composition when measuring codon usage bias: brilliant idea, difficult in practice.

Authors:  Anders Fuglsang
Journal:  Mol Biol Evol       Date:  2006-05-05       Impact factor: 16.240

6.  A gene hypermethylation profile of human cancer.

Authors:  M Esteller; P G Corn; S B Baylin; J G Herman
Journal:  Cancer Res       Date:  2001-04-15       Impact factor: 12.701

Review 7.  The evolutionary origins of cell type diversification and the role of intrinsically disordered proteins.

Authors:  Karl J Niklas; A Keith Dunker; Inmaculada Yruela
Journal:  J Exp Bot       Date:  2018-03-24       Impact factor: 6.992

8.  The human transcriptome map reveals extremes in gene density, intron length, GC content, and repeat pattern for domains of highly and weakly expressed genes.

Authors:  Rogier Versteeg; Barbera D C van Schaik; Marinus F van Batenburg; Marco Roos; Ramin Monajemi; Huib Caron; Harmen J Bussemaker; Antoine H C van Kampen
Journal:  Genome Res       Date:  2003-08-12       Impact factor: 9.043

Review 9.  Codon usage and tRNA content in unicellular and multicellular organisms.

Authors:  T Ikemura
Journal:  Mol Biol Evol       Date:  1985-01       Impact factor: 16.240

10.  Comparing models of evolution for ordered and disordered proteins.

Authors:  Celeste J Brown; Audra K Johnson; Gary W Daughdrill
Journal:  Mol Biol Evol       Date:  2009-11-18       Impact factor: 16.240

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  12 in total

1.  Estimating the Influence of Physicochemical and Biochemical Property Indexes on Selection for Amino Acids Usage in Eukaryotic Cells.

Authors:  Giovani B Fogalli; Sergio R P Line
Journal:  J Mol Evol       Date:  2021-03-24       Impact factor: 2.395

2.  Evolutionary pressures and codon bias in low complexity regions of plasmodia.

Authors:  Andrea Cappannini; Sergio Forcelloni; Andrea Giansanti
Journal:  Genetica       Date:  2021-07-12       Impact factor: 1.082

3.  IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell.

Authors:  Bi Zhao; Akila Katuwawala; Vladimir N Uversky; Lukasz Kurgan
Journal:  Cell Mol Life Sci       Date:  2020-09-30       Impact factor: 9.261

4.  Towards an understanding of the role of intrinsic protein disorder on plant adaptation to environmental challenges.

Authors:  Jesús Alejandro Zamora-Briseño; Alejandro Pereira-Santana; Sandi Julissa Reyes-Hernández; Daniel Cerqueda-García; Enrique Castaño; Luis Carlos Rodríguez-Zapata
Journal:  Cell Stress Chaperones       Date:  2020-09-09       Impact factor: 3.667

5.  Codon Usage and Phenotypic Divergences of SARS-CoV-2 Genes.

Authors:  Maddalena Dilucca; Sergio Forcelloni; Alexandros G Georgakilas; Andrea Giansanti; Athanasia Pavlopoulou
Journal:  Viruses       Date:  2020-04-30       Impact factor: 5.048

6.  Protein-Protein Interactions Mediated by Intrinsically Disordered Protein Regions Are Enriched in Missense Mutations.

Authors:  Eric T C Wong; Victor So; Mike Guron; Erich R Kuechler; Nawar Malhis; Jennifer M Bui; Jörg Gsponer
Journal:  Biomolecules       Date:  2020-07-24

7.  Evolutionary Study of Disorder in Protein Sequences.

Authors:  Kristina Kastano; Gábor Erdős; Pablo Mier; Gregorio Alanis-Lobato; Vasilis J Promponas; Zsuzsanna Dosztányi; Miguel A Andrade-Navarro
Journal:  Biomolecules       Date:  2020-10-06

Review 8.  Intrinsic Disorder in Plant Transcription Factor Systems: Functional Implications.

Authors:  Edoardo Salladini; Maria L M Jørgensen; Frederik F Theisen; Karen Skriver
Journal:  Int J Mol Sci       Date:  2020-12-21       Impact factor: 5.923

9.  Bioinformatic analysis and functional predictions of selected regeneration-associated transcripts expressed by zebrafish microglia.

Authors:  Ousseini Issaka Salia; Diana M Mitchell
Journal:  BMC Genomics       Date:  2020-12-07       Impact factor: 3.969

10.  Calculating and comparing codon usage values in rare disease genes highlights codon clustering with disease-and tissue- specific hierarchy.

Authors:  Rachele Rossi; Mingyan Fang; Lin Zhu; Chongyi Jiang; Cong Yu; Cristina Flesia; Chao Nie; Wenyan Li; Alessandra Ferlini
Journal:  PLoS One       Date:  2022-03-31       Impact factor: 3.240

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