The emergence of eukaryotes as an evolutionary algorithmic phase transition

The origin of eukaryotes represents one of the most significant events in evolution since it allowed the posterior emergence of multicellular organisms. Yet, it remains unclear how existing regulatory mechanisms of gene activity were transformed to allow this increase in complexity. Here, we address this question by analyzing the length distribution of proteins and their corresponding genes for 6,519 species across the tree of life. We find a scale-invariant relationship between gene mean length and variance maintained across the entire evolutionary history. Using a simple model, we show that this scale-invariant relationship naturally originates through a simple multiplicative process of gene growth. During the first phase of this process, corresponding to prokaryotes, protein length follows gene growth. At the onset of the eukaryotic cell, however, mean protein length stabilizes around 500 amino acids. While genes continued growing at the same rate as before, this growth primarily involved noncoding sequences that complemented proteins in regulating gene activity. Our analysis indicates that this shift at the origin of the eukaryotic cell was due to an algorithmic phase transition equivalent to that of certain search algorithms triggered by the constraints in finding increasingly larger proteins.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2025-03-27
DOI
https://doi.org/10.5167/uzh-276854
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
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article

The emergence of eukaryotes as an evolutionary algorithmic phase transition

Zurich Open Repository and Archive (University of Zurich)
Origins and Evolution of Life
article

The emergence of eukaryotes as an evolutionary algorithmic phase transition

article en

Abstract

The origin of eukaryotes represents one of the most significant events in evolution since it allowed the posterior emergence of multicellular organisms. Yet, it remains unclear how existing regulatory mechanisms of gene activity were transformed to allow this increase in complexity. Here, we address this question by analyzing the length distribution of proteins and their corresponding genes for 6,519 species across the tree of life. We find a scale-invariant relationship between gene mean length and variance maintained across the entire evolutionary history. Using a simple model, we show that this scale-invariant relationship naturally originates through a simple multiplicative process of gene growth. During the first phase of this process, corresponding to prokaryotes, protein length follows gene growth. At the onset of the eukaryotic cell, however, mean protein length stabilizes around 500 amino acids. While genes continued growing at the same rate as before, this growth primarily involved noncoding sequences that complemented proteins in regulating gene activity. Our analysis indicates that this shift at the origin of the eukaryotic cell was due to an algorithmic phase transition equivalent to that of certain search algorithms triggered by the constraints in finding increasingly larger proteins.

Zurich Open Repository and Archive (University of Zurich)
Life in Land
Openalex Percentile: Top 70%
Origins and Evolution of Life
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The emergence of eukaryotes as an evolutionary algorithmic phase transition · Zurich Open Repository and Archive (University of Zurich) (2025) | TGRS Research Map | TGRS