Predominance of cis-regulatory changes in parallel expression divergence of sticklebacks
Abstract
Regulation of gene expression is thought to play a major role in adaptation but the relative importance of cis- and trans- regulatory mechanisms in the early stages of adaptive divergence is unclear. Using RNAseq of threespine stickleback fish gill tissue from four independent marine-freshwater ecotype pairs and their F1 hybrids, we show that cis-acting (allele-specific) regulation consistently predominates gene expression divergence. Genes showing parallel marine-freshwater expression divergence are found near to adaptive genomic regions, show signatures of natural selection around their transcription start sites and are enriched for cis-regulatory control. For genes with parallel increased expression among freshwater fish, the quantitative degree of cis- and trans-regulation is also highly correlated across populations, suggesting a shared genetic basis. Compared to other forms of regulation, cis-regulation tends to show greater additivity and stability across different genetic and environmental contexts, making it a fertile substrate for the early stages of adaptive evolution.
Data availability
Data has been deposited to the Sequence Read Archive under the accession PRJNA530695. All scripts used in data analysis are available at https://github.com/jpverta/verta_jones_elife_2019.git
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Predominance of cis-regulatory changes in parallel expression divergence of sticklebacksNCBI Sequence Read Archive, PRJNA530695.
Article and author information
Author details
Funding
H2020 European Research Council (FP7)
- Felicity C Jones
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All of the animals were housed at an approved animal facility and handled according to Baden-Württemberg State approved protocols at the Max Planck Institute for Developmental Biology, Tübingen, Germany (license numbers 35/9185.82-5 and 35/9185.40).
Copyright
© 2019, Verta & Jones
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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Gene regulation is essential for life and controlled by regulatory DNA. Mutations can modify the activity of regulatory DNA, and also create new regulatory DNA, a process called regulatory emergence. Non-regulatory and regulatory DNA contain motifs to which transcription factors may bind. In prokaryotes, gene expression requires a stretch of DNA called a promoter, which contains two motifs called –10 and –35 boxes. However, these motifs may occur in both promoters and non-promoter DNA in multiple copies. They have been implicated in some studies to improve promoter activity, and in others to repress it. Here, we ask whether the presence of such motifs in different genetic sequences influences promoter evolution and emergence. To understand whether and how promoter motifs influence promoter emergence and evolution, we start from 50 ‘promoter islands’, DNA sequences enriched with –10 and –35 boxes. We mutagenize these starting ‘parent’ sequences, and measure gene expression driven by 240,000 of the resulting mutants. We find that the probability that mutations create an active promoter varies more than 200-fold, and is not correlated with the number of promoter motifs. For parent sequences without promoter activity, mutations created over 1500 new –10 and –35 boxes at unique positions in the library, but only ~0.3% of these resulted in de-novo promoter activity. Only ~13% of all –10 and –35 boxes contribute to de-novo promoter activity. For parent sequences with promoter activity, mutations created new –10 and –35 boxes in 11 specific positions that partially overlap with preexisting ones to modulate expression. We also find that –10 and –35 boxes do not repress promoter activity. Overall, our work demonstrates how promoter motifs influence promoter emergence and evolution. It has implications for predicting and understanding regulatory evolution, de novo genes, and phenotypic evolution.