Literature DB >> 27357487

The mutational hazard hypothesis of organelle genome evolution: 10 years on.

David Roy Smith1.   

Abstract

Why is there such a large variation in size and noncoding DNA content among organelle genomes? One explanation is that this genomic variation results from differences in the rates of organelle mutation and random genetic drift, as opposed to being the direct product of natural selection. Along these lines, the mutational hazard hypothesis (MHH) holds that 'excess' DNA is a mutational liability (because it increases the potential for harmful mutations) and, thus, has a greater tendency to accumulate in an organelle system with a low mutation rate as opposed to one with a high rate of mutation. Various studies have explored this hypothesis and, more generally, the relationship between organelle genome architecture and the mode and efficiency of organelle DNA repair. Although some of these investigations are in agreement with the MHH, others have contradicted it; nevertheless, they support a central role of mutation, DNA maintenance pathways and random genetic drift in fashioning organelle chromosomes. Arguably, one of the most important contributions of the MHH is that it has sparked crucial, widespread discussions about the importance of nonadaptive processes in genome evolution.
© 2016 The Author. Molecular Ecology Published by John Wiley & Sons Ltd.

Keywords:  genome size; mitochondrial genome; mutation rate; nonadaptive evolution; plastid genome

Mesh:

Substances:

Year:  2016        PMID: 27357487     DOI: 10.1111/mec.13742

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  16 in total

1.  Novel genetic code and record-setting AT-richness in the highly reduced plastid genome of the holoparasitic plant Balanophora.

Authors:  Huei-Jiun Su; Todd J Barkman; Weilong Hao; Samuel S Jones; Julia Naumann; Elizabeth Skippington; Eric K Wafula; Jer-Ming Hu; Jeffrey D Palmer; Claude W dePamphilis
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-31       Impact factor: 11.205

2.  The Plastid Genome of Polytoma uvella Is the Largest Known among Colorless Algae and Plants and Reflects Contrasting Evolutionary Paths to Nonphotosynthetic Lifestyles.

Authors:  Francisco Figueroa-Martinez; Aurora M Nedelcu; David R Smith; Adrian Reyes-Prieto
Journal:  Plant Physiol       Date:  2016-12-08       Impact factor: 8.340

3.  Comprehensive genomic analyses with 115 plastomes from algae to seed plants: structure, gene contents, GC contents, and introns.

Authors:  Eun-Chae Kwon; Jong-Hwa Kim; Nam-Soo Kim
Journal:  Genes Genomics       Date:  2020-03-21       Impact factor: 1.839

4.  Does Cell Size Impact Chloroplast Genome Size?

Authors:  David R Smith
Journal:  Front Plant Sci       Date:  2017-12-14       Impact factor: 5.753

5.  Large-Scale Comparative Analysis Reveals the Mechanisms Driving Plastomic Compaction, Reduction, and Inversions in Conifers II (Cupressophytes).

Authors:  Chung-Shien Wu; Shu-Miaw Chaw
Journal:  Genome Biol Evol       Date:  2016-12-01       Impact factor: 3.416

6.  The plastid genomes of nonphotosynthetic algae are not so small after all.

Authors:  Francisco Figueroa-Martinez; Aurora M Nedelcu; Adrian Reyes-Prieto; David R Smith
Journal:  Commun Integr Biol       Date:  2017-02-01

7.  Pervasive, Genome-Wide Transcription in the Organelle Genomes of Diverse Plastid-Bearing Protists.

Authors:  Matheus Sanitá Lima; David Roy Smith
Journal:  G3 (Bethesda)       Date:  2017-11-06       Impact factor: 3.154

8.  Recurrent Loss, Horizontal Transfer, and the Obscure Origins of Mitochondrial Introns in Diatoms (Bacillariophyta).

Authors:  Wilson X Guillory; Anastasiia Onyshchenko; Elizabeth C Ruck; Matthew Parks; Teofil Nakov; Norman J Wickett; Andrew J Alverson
Journal:  Genome Biol Evol       Date:  2018-06-01       Impact factor: 3.416

9.  Exploring the Limits and Causes of Plastid Genome Expansion in Volvocine Green Algae.

Authors:  Hager Gaouda; Takashi Hamaji; Kayoko Yamamoto; Hiroko Kawai-Toyooka; Masahiro Suzuki; Hideki Noguchi; Yohei Minakuchi; Atsushi Toyoda; Asao Fujiyama; Hisayoshi Nozaki; David Roy Smith
Journal:  Genome Biol Evol       Date:  2018-09-01       Impact factor: 3.416

10.  Multivariate analysis of genomic variables, effective population size, and mutation rate.

Authors:  Punit Bhattachan; Bo Dong
Journal:  BMC Res Notes       Date:  2019-01-25
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