Stem cell transcriptional profiles from mouse subspecies reveal cis-regulatory evolution at translation genes

A key goal of evolutionary genomics is to harness molecular data to draw inferences about selective forces that have acted on genomes. The field progresses in large part through the development of advanced molecular-evolution analysis methods. Here we explored the intersection between classical sequence-based tests for selection and an empirical expression-based approach, using stem cells from Mus musculus subspecies as a model. Using a test of directional, cis-regulatory evolution across genes in pathways, we discovered a unique program of induction of translation genes in stem cells of the Southeast Asian mouse M. m. castaneus relative to its sister taxa. We then mined population-genomic sequences to pursue underlying regulatory mechanisms for this expression divergence, finding robust evidence for alleles unique to M. m. castaneus at the upstream regions of the translation genes. We interpret our data under a model of changes in lineage-specific pressures across Mus musculus in stem cells with high translational capacity. Our findings underscore the rigor of integrating expression and sequence-based methods to generate hypotheses about evolutionary events from long ago.

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Publication Details

Journal
Heredity
Published
2024-08-20
DOI
https://doi.org/10.1038/s41437-024-00715-z
Citations
3
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.70

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article

Stem cell transcriptional profiles from mouse subspecies reveal cis-regulatory evolution at translation genes

James R. Dutton, Rachel B. Brem, Noah M. Simon, Diana M. Bautista et al.
3 citations
Heredity
RNA Research and Splicing
0.70
article

Stem cell transcriptional profiles from mouse subspecies reveal cis-regulatory evolution at translation genes

James R. Dutton, Rachel B. Brem, Noah M. Simon, Diana M. Bautista, Joost H. Gribnau, Yujin Kim
article en
3 citations

Abstract

A key goal of evolutionary genomics is to harness molecular data to draw inferences about selective forces that have acted on genomes. The field progresses in large part through the development of advanced molecular-evolution analysis methods. Here we explored the intersection between classical sequence-based tests for selection and an empirical expression-based approach, using stem cells from Mus musculus subspecies as a model. Using a test of directional, cis-regulatory evolution across genes in pathways, we discovered a unique program of induction of translation genes in stem cells of the Southeast Asian mouse M. m. castaneus relative to its sister taxa. We then mined population-genomic sequences to pursue underlying regulatory mechanisms for this expression divergence, finding robust evidence for alleles unique to M. m. castaneus at the upstream regions of the translation genes. We interpret our data under a model of changes in lineage-specific pressures across Mus musculus in stem cells with high translational capacity. Our findings underscore the rigor of integrating expression and sequence-based methods to generate hypotheses about evolutionary events from long ago.

HeredityVol. 133(5)
University of Southern California (US), University of Minnesota (US), Buck Institute for Research on Aging (US), Erasmus MC (NL), Erasmus University Rotterdam (NL), University of California, Berkeley (US)
National Institutes of Health
Openalex Percentile: Top 30%
RNA Research and Splicing
0.70
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