Literature DB >> 36115336

Evolutionary inference across eukaryotes identifies universal features shaping organelle gene retention.

Konstantinos Giannakis1, Samuel J Arrowsmith2, Luke Richards3, Sara Gasparini4, Joanna M Chustecki5, Ellen C Røyrvik6, Iain G Johnston7.   

Abstract

Mitochondria and plastids power complex life. Why some genes and not others are retained in their organelle DNA (oDNA) genomes remains a debated question. Here, we attempt to identify the properties of genes and associated underlying mechanisms that determine oDNA retention. We harness over 15k oDNA sequences and over 300 whole genome sequences across eukaryotes with tools from structural biology, bioinformatics, machine learning, and Bayesian model selection. Previously hypothesized features, including the hydrophobicity of a protein product, and less well-known features, including binding energy centrality within a protein complex, predict oDNA retention across eukaryotes, with additional influences of nucleic acid and amino acid biochemistry. Notably, the same features predict retention in both organelles, and retention models learned from one organelle type quantitatively predict retention in the other, supporting the universality of these features-which also distinguish gene profiles in more recent, independent endosymbiotic relationships. A record of this paper's transparent peer review process is included in the supplemental information.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  endosymbiosis; genome evolution; mitochondria; mtDNA; plastids; ptDNA

Year:  2022        PMID: 36115336     DOI: 10.1016/j.cels.2022.08.007

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   11.091


  1 in total

1.  Variation in cytonuclear expression accommodation among allopolyploid plants.

Authors:  Corrinne E Grover; Evan S Forsythe; Joel Sharbrough; Emma R Miller; Justin L Conover; Rachael A DeTar; Carolina Chavarro; Mark A Arick; Daniel G Peterson; Soraya C M Leal-Bertioli; Daniel B Sloan; Jonathan F Wendel
Journal:  Genetics       Date:  2022-09-30       Impact factor: 4.402

  1 in total

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