Skip to main content

The evolving gene regulatory landscape—a tinkerer of complex creatures

Editorial

Our genome is littered with DNA of no clear function. Yet, as shown recurrently by this Special Issue on Regulatory Elements, sequences outside of protein-coding exons are responsible for many, if not most, of the phenotypic differences observed amongst species and individuals. Over the course of evolution, these non-coding regions can provide the raw materials to Jacob’s tinkerer [1], yielding new regulatory switches that shift the spatiotemporal specificity of gene expression. As reviewed by Panigrahi and O’Malley [2], exquisite resolution of genome organisation, accessibility, transcription factor binding, and DNA modifications, now allows the discovery and characterisation of enhancers, promoters, silencers, and other regulatory elements en masse. Tracing the evolutionary origins of these elements in different species provides a window into their often similar histories, as well as their present functions. By consequence, this Special Issue of Genome Biology is of exceptionally broad biological scope. It presents molecular and computational analyses of diverse experimental systems. The works contained within are however unified by their intent to simplify and better understand the complex relationships between regulatory elements and protein-coding genes.

Transposable elements (TEs) occupy a large proportion of most eukaryotic genomes and, as first shown by McClintock [3], are a major source of gene regulatory innovation. Judd et al. [4] report that the circadian transcriptional network in mouse liver incorporates a number of circadian-responsive TE enhancers contributed by members of the immobile murine RSINE1 family. Focusing on another class of TEs, Troskie et al. [5] use PacBio long-read sequencing to survey the transcriptome of human pseudogenes and identify alternative promoters for various protein-coding genes, such as RB1, that are embedded in upstream pseudogenes. A theme of these TE studies, and one shared by the analysis of duplicated gene (ohnolog) regulation in several fish species by Gillard et al. [6], is that TEs spread tissue-specific regulatory elements encoding novel transcription factor binding sites.

Another common thread of this Special Issue is the measurement of protein-coding gene transcription as a readout of regulatory element activity. For instance, the spatial organisation of chromatin is thought to influence the pairing of regulatory elements and protein-coding genes. This is elegantly shown by Furlan-Magaril et al. [7], again using the mouse liver circadian cycle, but here surveying chromosome conformation at high resolution to reveal the influence of differential promoter-enhancer interactions upon gene expression within topologically associated domains. Intriguingly, their results, as well as those of Huang et al. [8] obtained by studying androgen receptor-dependent enhancers in prostate cancer, suggest transcription factors can govern enhancer interactions with promoters. Transcription factors can also attract histone modifying complexes to enhancers. As an example of how perturbed histone modifications can lead to widespread aberrant enhancer activity, Di Giorgio et al. [9] find downregulation of the histone deacetylase HDAC4 in senescent cells leads to H3K27 hyperacetylation of enhancers linked to senescence-associated genes. Shifting focus to more direct regulatory pathways, Spiegel et al. [10] and Schwich et al. [11] explore the impact of proteins binding to G-quadruplex structures and alternative polyadenylation sites at gene 5′ and 3′ termini, respectively. Finally, Lee et al. [12] survey the regulatory element mutational landscape for thousands of whole cancer genomes and find significant associations between specific cancer subtypes and mutations in certain regulatory elements.

In the near future, more articles will be added to this Special Issue. Together, these works foster a more complete understanding of regulatory element function and evolution, as well as their impact on physiology and disease.

References

  1. Jacob F. Evolution and tinkering. Science. 1977;196(4295):1161–6. https://doi.org/10.1126/science.860134.

    Article  CAS  PubMed  Google Scholar 

  2. Panigrahi A, O’Malley BW. Mechanisms of enhancer action: the known and the unknown. Genome Biol. 2021;22(1):108. https://doi.org/10.1186/s13059-021-02322-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. McClintock B. The origin and behavior of mutable loci in maize. Proc Natl Acad Sci U S A. 1950;36(6):344–55. https://doi.org/10.1073/pnas.36.6.344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Judd J, Sanderson H, Feschotte C. Evolution of mouse circadian enhancers from transposable elements. Genome Biol. 2021;22:193. https://doi.org/10.1186/s13059-021-02409-9.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Troskie R-L, Jafrani Y, Mercer TR, Ewing AD, Faulkner GJ, Cheetham SW. Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome. Genome Biol. 2021;22(1):146. https://doi.org/10.1186/s13059-021-02369-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Gillard GB, Grønvold L, Røsæg LL, Holen MM, Monsen Ø, Koop BF, et al. Comparative regulomics supports pervasive selection on gene dosage following whole genome duplication. Genome Biol. 2021;22(1):103. https://doi.org/10.1186/s13059-021-02323-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Furlan-Magaril M, Ando-Kuri M, Arzate-Mejía RG, Morf J, Cairns J, Román-Figueroa A, et al. The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle. Genome Biol. 2021;22(1):162. https://doi.org/10.1186/s13059-021-02374-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Huang C-CF, Lingadahalli S, Morova T, Ozturan D, Hu E, Yu IPL, et al. Functional mapping of androgen receptor enhancer activity. Genome Biol. 2021;22(1):149. https://doi.org/10.1186/s13059-021-02339-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Di Giorgio E, Paluvai H, Dalla E, Ranzino L, Renzini A, Moresi V, et al. HDAC4 degradation during senescence unleashes an epigenetic program driven by AP-1/p300 at selected enhancers and super-enhancers. Genome Biol. 2021;22(1):129. https://doi.org/10.1186/s13059-021-02340-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Spiegel J, Cuesta SM, Adhikari S, Hänsel-Hertsch R, Tannahill D, Balasubramanian S. G-quadruplexes are transcription factor binding hubs in human chromatin. Genome Biol. 2021;22(1):117. https://doi.org/10.1186/s13059-021-02324-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Schwich OD, Blümel N, Keller M, Wegener M, Setty ST, Brunstein ME, et al. SRSF3 and SRSF7 modulate 3’UTR length through suppression or activation of proximal polyadenylation sites and regulation of CFIm levels. Genome Biol. 2021;22(1):82. https://doi.org/10.1186/s13059-021-02298-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lee CA, Abd-Rabbo D, Reimand J. Functional and genetic determinants of mutation rate variability in regulatory elements of cancer genomes. Genome Biol. 2021;22(1):133. https://doi.org/10.1186/s13059-021-02318-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

The author read and approved the final manuscript.

Corresponding author

Correspondence to Geoffrey J. Faulkner.

Ethics declarations

Competing interests

The author declares that he has no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Faulkner, G.J. The evolving gene regulatory landscape—a tinkerer of complex creatures. Genome Biol 22, 199 (2021). https://doi.org/10.1186/s13059-021-02412-0

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/s13059-021-02412-0