ArticleScientific reports2016
Evolution of Genome Size in Asexual Digital Organisms.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- High metabolic rates drive tiny genomes in plants (and birds): a commentary on 'The smallest angiosperm genomes may be the price for effective traps of bladderworts'.Annals of botany · 2024Article
- Comprehensive analysis of the complete mitochondrial genome of Lilium tsingtauense reveals a novel multichromosome structure.Plant cell reports · 2024Article
- Ontology for the Avida digital evolution platform.Scientific data · 2023Article
- avidaR: an R library to perform complex queries on an ontology-based database of digital organisms.PeerJ. Computer science · 2023Article
- Adapting the engine to the fuel: mutator populations can reduce the mutational load by reorganizing their genome structure.BMC evolutionary biology · 2019Article
- Thermosipho spp. Immune System Differences Affect Variation in Genome Size and Geographical Distributions.Genome biology and evolution · 2018Article
- Origin of life in a digital microcosm.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017Article
- Evolutionary dynamics of viral escape under antibodies stress: A biophysical model.Protein science : a publication of the Protein Society · 2016Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome sizes have evolved to vary widely, from 250 bases in viroids to 670 billion bases in some amoebas. This remarkable variation in genome size is the outcome of complex interactions between various evolutionary factors such as mutation rate and population size. While comparative genomics has uncovered how some of these evolutionary factors influence genome size, we still do not understand what drives genome size evolution. Specifically, it is not clear how the primordial mutational processes of base substitutions, insertions, and deletions influence genome size evolution in asexual organisms. Here, we use digital evolution to investigate genome size evolution by tracking genome edits and their fitness effects in real time. In agreement with empirical data, we find that mutation rate is inversely correlated with genome size in asexual populations. We show that at low point mutation rate, insertions are significantly more beneficial than deletions, driving genome expansion and the acquisition of phenotypic complexity. Conversely, the high mutational load experienced at high mutation rates inhibits genome growth, forcing the genomes to compress their genetic information. Our analyses suggest that the inverse relationship between mutation rate and genome size is a result of the tradeoff between evolving phenotypic innovation and limiting the mutational load.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.