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Journal ArticleDOI

Differences in evolutionary accessibility determine which equally effective regulatory motif evolves to generate pulses.

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TLDR
The results suggest that evolutionary accessibility, and not relative functionality, shapes which motifs evolve in TRNs, and does so as a function of the expression levels of particular genes.
Abstract
Transcriptional regulatory networks (TRNs) are enriched for certain "motifs." Motif usage is commonly interpreted in adaptationist terms, i.e., that the optimal motif evolves. But certain motifs can also evolve more easily than others. Here, we computationally evolved TRNs to produce a pulse of an effector protein. Two well-known motifs, type 1 incoherent feed-forward loops (I1FFLs) and negative feedback loops (NFBLs), evolved as the primary solutions. The relative rates at which these two motifs evolve depend on selection conditions, but under all conditions, either motif achieves similar performance. I1FFLs generally evolve more often than NFBLs. Selection for a tall pulse favors NFBLs, while selection for a fast response favors I1FFLs. I1FFLs are more evolutionarily accessible early on, before the effector protein evolves high expression; when NFBLs subsequently evolve, they tend to do so from a conjugated I1FFL-NFBL genotype. In the empirical S. cerevisiae TRN, output genes of NFBLs had higher expression levels than those of I1FFLs. These results suggest that evolutionary accessibility, and not relative functionality, shapes which motifs evolve in TRNs, and does so as a function of the expression levels of particular genes.

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Citations
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Journal ArticleDOI

Mutation bias shapes the spectrum of adaptive substitutions

TL;DR: In this paper , a codon-based model for the spectrum of adaptive amino acid substitutions, applied to three large datasets covering thousands of amino acid changes identified in natural and experimental adaptation in Saccharomyces cerevisiae, Escherichia coli, and Mycobacterium tuberculosis, is presented.
Journal ArticleDOI

Natural selection on crosstalk between gene regulatory networks facilitates bacterial adaptation to novel environments.

TL;DR: In this paper , the authors identify factors that facilitate opportunities for crosstalk and rewiring between GRNs, consider whether features of some GRNs make them more 'rewireable' than others and if these features might constrain evolution towards convergent outcomes.
Journal Article

Fold-change detection and scalar symmetry of sensory input fields

TL;DR: In this article, it was shown that FCD is necessary and sufficient for sensory search to be independent of multiplying the input field by a scalar, and that the FCD search pattern depends only on the spatial profile of the input and not on its amplitude.
Journal ArticleDOI

On the incongruence of genotype-phenotype and fitness landscapes

TL;DR: This work uses theoretical models and empirical data on transcription factor-DNA interactions to systematically study the incongruence of genotype-phenotype and fitness landscapes when selection favors a low or intermediate phenotypic value, and proves a number of fundamental results.
Posted ContentDOI

Random and natural non-coding RNA have similar structural motif patterns but can be distinguished by bulge, loop, and bond counts

Fatme Ghaddar, +1 more
- 03 Sep 2022 - 
TL;DR: It is found that large natural and random structures are also very similar, especially when contrasted to typical structures sampled from the space of all possible RNA structures, and that the frequencies of different motifs can be used in machine learning algorithms to classify random and natural RNA with quite high accuracy.
References
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Journal ArticleDOI

Exact Stochastic Simulation of Coupled Chemical Reactions

TL;DR: In this article, a simulation algorithm for the stochastic formulation of chemical kinetics is proposed, which uses a rigorously derived Monte Carlo procedure to numerically simulate the time evolution of a given chemical system.
Journal ArticleDOI

Network Motifs: Simple Building Blocks of Complex Networks

TL;DR: Network motifs, patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks, are defined and may define universal classes of networks.
Journal ArticleDOI

Genomic expression programs in the response of yeast cells to environmental changes.

TL;DR: Analysis of genomic expression patterns in the yeast Saccharomyces cerevisiae implicated the transcription factors Yap1p, as well as Msn2p and Msn4p, in mediating specific features of the transcriptional response, while the identification of novel sequence elements provided clues to novel regulators.
Journal ArticleDOI

Global analysis of protein expression in yeast

TL;DR: A Saccharomyces cerevisiae fusion library is created where each open reading frame is tagged with a high-affinity epitope and expressed from its natural chromosomal location, and it is found that about 80% of the proteome is expressed during normal growth conditions.
Journal ArticleDOI

Transcriptional Regulatory Networks in Saccharomyces cerevisiae

TL;DR: This work determines how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells, and identifies network motifs, the simplest units of network architecture, and demonstrates that an automated process can use motifs to assemble a transcriptional regulatory network structure.
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