The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]

Barroso, G. V., Puzovic, N., Dutheil, J. Y.
Genetics Society of America (GSA)
Published 2018
Publication Date:
2018-01-05
Publisher:
Genetics Society of America (GSA)
Print ISSN:
0016-6731
Topics:
Biology
Published by:
_version_ 1836398733424590848
autor Barroso, G. V., Puzovic, N., Dutheil, J. Y.
beschreibung Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse Mus musculus to characterize the effect of natural selection on gene-specific transcriptional stochasticity. We show that noise levels in the mRNA distributions (also known as transcriptional noise) significantly correlate with three-dimensional nuclear domain organization, evolutionary constraints on the encoded protein, and gene age. However, the position of the encoded protein in a biological pathway is the main factor that explains observed levels of transcriptional noise, in agreement with models of noise propagation within gene networks. Because transcriptional noise is under widespread selection, we argue that it constitutes an important component of the phenotype and that variance of expression is a potential target of adaptation. Stochastic gene expression should therefore be considered together with the mean expression level in functional and evolutionary studies of gene expression.
citation_standardnr 6130064
datenlieferant ipn_articles
feed_id 2584
feed_publisher Genetics Society of America (GSA)
feed_publisher_url http://www.genetics-gsa.org/
insertion_date 2018-01-05
journalissn 0016-6731
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Genetics Society of America (GSA)
quelle Genetics
relation http://www.genetics.org/cgi/content/short/208/1/173?rss=1
search_space articles
shingle_author_1 Barroso, G. V., Puzovic, N., Dutheil, J. Y.
shingle_author_2 Barroso, G. V., Puzovic, N., Dutheil, J. Y.
shingle_author_3 Barroso, G. V., Puzovic, N., Dutheil, J. Y.
shingle_author_4 Barroso, G. V., Puzovic, N., Dutheil, J. Y.
shingle_catch_all_1 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse Mus musculus to characterize the effect of natural selection on gene-specific transcriptional stochasticity. We show that noise levels in the mRNA distributions (also known as transcriptional noise) significantly correlate with three-dimensional nuclear domain organization, evolutionary constraints on the encoded protein, and gene age. However, the position of the encoded protein in a biological pathway is the main factor that explains observed levels of transcriptional noise, in agreement with models of noise propagation within gene networks. Because transcriptional noise is under widespread selection, we argue that it constitutes an important component of the phenotype and that variance of expression is a potential target of adaptation. Stochastic gene expression should therefore be considered together with the mean expression level in functional and evolutionary studies of gene expression.
Barroso, G. V., Puzovic, N., Dutheil, J. Y.
Genetics Society of America (GSA)
0016-6731
00166731
shingle_catch_all_2 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse Mus musculus to characterize the effect of natural selection on gene-specific transcriptional stochasticity. We show that noise levels in the mRNA distributions (also known as transcriptional noise) significantly correlate with three-dimensional nuclear domain organization, evolutionary constraints on the encoded protein, and gene age. However, the position of the encoded protein in a biological pathway is the main factor that explains observed levels of transcriptional noise, in agreement with models of noise propagation within gene networks. Because transcriptional noise is under widespread selection, we argue that it constitutes an important component of the phenotype and that variance of expression is a potential target of adaptation. Stochastic gene expression should therefore be considered together with the mean expression level in functional and evolutionary studies of gene expression.
Barroso, G. V., Puzovic, N., Dutheil, J. Y.
Genetics Society of America (GSA)
0016-6731
00166731
shingle_catch_all_3 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse Mus musculus to characterize the effect of natural selection on gene-specific transcriptional stochasticity. We show that noise levels in the mRNA distributions (also known as transcriptional noise) significantly correlate with three-dimensional nuclear domain organization, evolutionary constraints on the encoded protein, and gene age. However, the position of the encoded protein in a biological pathway is the main factor that explains observed levels of transcriptional noise, in agreement with models of noise propagation within gene networks. Because transcriptional noise is under widespread selection, we argue that it constitutes an important component of the phenotype and that variance of expression is a potential target of adaptation. Stochastic gene expression should therefore be considered together with the mean expression level in functional and evolutionary studies of gene expression.
Barroso, G. V., Puzovic, N., Dutheil, J. Y.
Genetics Society of America (GSA)
0016-6731
00166731
shingle_catch_all_4 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse Mus musculus to characterize the effect of natural selection on gene-specific transcriptional stochasticity. We show that noise levels in the mRNA distributions (also known as transcriptional noise) significantly correlate with three-dimensional nuclear domain organization, evolutionary constraints on the encoded protein, and gene age. However, the position of the encoded protein in a biological pathway is the main factor that explains observed levels of transcriptional noise, in agreement with models of noise propagation within gene networks. Because transcriptional noise is under widespread selection, we argue that it constitutes an important component of the phenotype and that variance of expression is a potential target of adaptation. Stochastic gene expression should therefore be considered together with the mean expression level in functional and evolutionary studies of gene expression.
Barroso, G. V., Puzovic, N., Dutheil, J. Y.
Genetics Society of America (GSA)
0016-6731
00166731
shingle_title_1 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
shingle_title_2 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
shingle_title_3 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
shingle_title_4 The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
timestamp 2025-06-30T23:31:46.746Z
titel The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
titel_suche The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level [Gene Expression]
topic W
uid ipn_articles_6130064