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Museridze M, Ceolin S, Mühling B, Ramanathan S, Barmina O, Sekhar PS, Gompel N. Entangled and non-modular enhancer sequences producing independent spatial activities. SCIENCE ADVANCES 2024; 10:eadr9856. [PMID: 39565856 PMCID: PMC11578167 DOI: 10.1126/sciadv.adr9856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 10/17/2024] [Indexed: 11/22/2024]
Abstract
The modularity of transcriptional enhancers is central to our understanding of morphological evolution, allowing specific changes to a gene expression pattern component, without affecting others. Enhancer modularity refers to physically separated stretches of regulatory sequence producing discrete spatiotemporal transcriptional activity. This concept stems from assays that test the sufficiency of a DNA segment to drive spatial reporter expression resembling that of the corresponding gene. Focusing on spatial patterns, it overlooks quantitative aspects of gene expression, underestimating the regulatory sequence actually required to reach full endogenous expression levels. Here, we show that five regulatory activities of the gene yellow in Drosophila, classically described as modular, result from extensively overlapping sequences, with broadly distributed regulatory information. Nevertheless, the independent regulatory activities of these entangled enhancers appear to be nucleated by specific segments that we called enhancer cores. Our work calls for a reappraisal of enhancer definition and properties, as well as of the consequences on regulatory evolution.
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Affiliation(s)
- Mariam Museridze
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
- University of Bonn, Bonn Institute for Organismic Biology, Bonn, Germany
| | - Stefano Ceolin
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
| | - Bettina Mühling
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
| | - Srishti Ramanathan
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
| | - Olga Barmina
- Department of Evolution and Ecology, University of California, Davis, Davis, CA, USA
| | - Pallavi Santhi Sekhar
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
| | - Nicolas Gompel
- Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany
- University of Bonn, Bonn Institute for Organismic Biology, Bonn, Germany
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McDonald JMC, Reed RD. Beyond modular enhancers: new questions in cis-regulatory evolution. Trends Ecol Evol 2024; 39:1035-1046. [PMID: 39266441 DOI: 10.1016/j.tree.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 06/28/2024] [Accepted: 07/08/2024] [Indexed: 09/14/2024]
Abstract
Our understanding of how cis-regulatory elements work has advanced rapidly, outpacing our evolutionary models. In this review, we consider the implications of new mechanistic findings for evolutionary developmental biology. We focus on three different debates: whether evolutionary innovation occurs more often via the modification of old cis-regulatory elements or the emergence of new ones; the extent to which individual elements are specific and autonomous or multifunctional and interdependent; and how the robustness of cis-regulatory architectures influences the rate of trait evolution. These discussions lead us to propose new questions for the evo-devo of cis-regulation.
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Affiliation(s)
- Jeanne M C McDonald
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
| | - Robert D Reed
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
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Ren YY, Liu Z. Characterization of Single-Cell Cis-regulatory Elements Informs Implications for Cell Differentiation. Genome Biol Evol 2024; 16:evae241. [PMID: 39506564 PMCID: PMC11580522 DOI: 10.1093/gbe/evae241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/17/2024] [Accepted: 11/04/2024] [Indexed: 11/08/2024] Open
Abstract
Cis-regulatory elements govern the specific patterns and dynamics of gene expression in cells during development, which are the fundamental mechanisms behind cell differentiation. However, the genomic characteristics of single-cell cis-regulatory elements closely linked to cell differentiation during development remain unclear. To explore this, we systematically analyzed ∼250,000 putative single-cell cis-regulatory elements obtained from snATAC-seq analysis of the developing mouse cerebellum. We found that over 80% of these single-cell cis-regulatory elements show pleiotropic effects, being active in 2 or more cell types. The pleiotropic degrees of proximal and distal single-cell cis-regulatory elements are positively correlated with the density and diversity of transcription factor binding motifs and GC content. There is a negative correlation between the pleiotropic degrees of single-cell cis-regulatory elements and their distances to the nearest transcription start sites, and proximal single-cell cis-regulatory elements display higher relevance strengths than distal ones. Furthermore, both proximal and distal single-cell cis-regulatory elements related to cell differentiation exhibit enhanced sequence-level evolutionary conservation, increased density and diversity of transcription factor binding motifs, elevated GC content, and greater distances from their nearest genes. Together, our findings reveal the general genomic characteristics of putative single-cell cis-regulatory elements and provide insights into the genomic and evolutionary mechanisms by which single-cell cis-regulatory elements regulate cell differentiation during development.
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Affiliation(s)
- Ying-Ying Ren
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zhen Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
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Asma H, Tieke E, Deem KD, Rahmat J, Dong T, Huang X, Tomoyasu Y, Halfon MS. Regulatory genome annotation of 33 insect species. eLife 2024; 13:RP96738. [PMID: 39392676 PMCID: PMC11469670 DOI: 10.7554/elife.96738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2024] Open
Abstract
Annotation of newly sequenced genomes frequently includes genes, but rarely covers important non-coding genomic features such as the cis-regulatory modules-e.g., enhancers and silencers-that regulate gene expression. Here, we begin to remedy this situation by developing a workflow for rapid initial annotation of insect regulatory sequences, and provide a searchable database resource with enhancer predictions for 33 genomes. Using our previously developed SCRMshaw computational enhancer prediction method, we predict over 2.8 million regulatory sequences along with the tissues where they are expected to be active, in a set of insect species ranging over 360 million years of evolution. Extensive analysis and validation of the data provides several lines of evidence suggesting that we achieve a high true-positive rate for enhancer prediction. One, we show that our predictions target specific loci, rather than random genomic locations. Two, we predict enhancers in orthologous loci across a diverged set of species to a significantly higher degree than random expectation would allow. Three, we demonstrate that our predictions are highly enriched for regions of accessible chromatin. Four, we achieve a validation rate in excess of 70% using in vivo reporter gene assays. As we continue to annotate both new tissues and new species, our regulatory annotation resource will provide a rich source of data for the research community and will have utility for both small-scale (single gene, single species) and large-scale (many genes, many species) studies of gene regulation. In particular, the ability to search for functionally related regulatory elements in orthologous loci should greatly facilitate studies of enhancer evolution even among distantly related species.
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Affiliation(s)
- Hasiba Asma
- Program in Genetics, Genomics, and Bioinformatics, University at Buffalo-State University of New YorkBuffaloUnited States
| | - Ellen Tieke
- Department of Biology, Miami UniversityOxfordUnited States
| | - Kevin D Deem
- Department of Biology, Miami UniversityOxfordUnited States
| | - Jabale Rahmat
- Department of Biology, Miami UniversityOxfordUnited States
| | - Tiffany Dong
- Department of Biochemistry, University at Buffalo-State University of New YorkBuffaloUnited States
| | - Xinbo Huang
- Department of Biochemistry, University at Buffalo-State University of New YorkBuffaloUnited States
| | | | - Marc S Halfon
- Program in Genetics, Genomics, and Bioinformatics, University at Buffalo-State University of New YorkBuffaloUnited States
- Department of Biochemistry, University at Buffalo-State University of New YorkBuffaloUnited States
- Department of Biomedical Informatics, University at Buffalo-State University of New YorkBuffaloUnited States
- Department of Biological Sciences, University at Buffalo-State University of New YorkBuffaloUnited States
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de Ponthaud C, Abdalla S, Belot MP, Shao X, Penna C, Brouquet A, Bougnères P. Increased CpG methylation at the CDH1 locus in inflamed ileal mucosa of patients with Crohn disease. Clin Epigenetics 2024; 16:28. [PMID: 38355645 PMCID: PMC10865720 DOI: 10.1186/s13148-024-01631-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 01/18/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND E-cadherin, a major actor of cell adhesion in the intestinal barrier, is encoded by the CDH1 gene associated with susceptibility to Crohn Disease (CD) and colorectal cancer. Since epigenetic mechanisms are suspected to contribute to the multifactorial pathogenesis of CD, we studied CpG methylation at the CDH1 locus. The methylation of the CpG island (CGI) and of the 1st enhancer, two critical regulatory positions, was quantified in surgical specimens of inflamed ileal mucosa and in peripheral blood mononuclear cells (PBMC) of 21 CD patients. Sixteen patients operated on for a non-inflammatory bowel disease, although not normal controls, provided a macroscopically normal ileal mucosa and PBMC for comparison. RESULTS In ileal mucosa, 19/21 (90%) CD patients vs 8/16 control patients (50%) (p < 0.01) had a methylated CDH1 promoter CGI. In PBMC, CD patients with methylated CGI were 11/21 (52%) vs 7/16 controls (44%), respectively. Methylation in the 1st enhancer of CDH1 was also higher in the CD group for each of the studied CpGs and for their average value (45 ± 17% in CD patients vs 36 ± 17% in controls; p < 0.001). Again, methylation was comparable in PBMC. Methylation of CGI and 1st enhancer were not correlated in mucosa or PBMC. CONCLUSIONS Methylation of several CpGs at the CDH1 locus was increased in the inflamed ileal mucosa, not in the PBMC, of CD patients, suggesting the association of CDH1 methylation with ileal inflammation. Longitudinal studies will explore if this increased methylation is a risk marker for colorectal cancer.
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Affiliation(s)
- Charles de Ponthaud
- Department of Visceral and Digestive Surgery, Hôpital Bicêtre AP-HP, Paris Saclay University, 94276, Le Kremlin-Bicêtre Cedex, France
- UMR INSERM 1169 and Université Paris Saclay, Hôpital Bicêtre, 94276, Le Kremlin-Bicêtre Cedex, France
| | - Solafah Abdalla
- Department of Visceral and Digestive Surgery, Hôpital Bicêtre AP-HP, Paris Saclay University, 94276, Le Kremlin-Bicêtre Cedex, France
- UMR INSERM 1169 and Université Paris Saclay, Hôpital Bicêtre, 94276, Le Kremlin-Bicêtre Cedex, France
| | - Marie-Pierre Belot
- Groupe d'Études sur le Diabète, l'Obésité, la Croissance, GETDOC, Hôpital Bicêtre, 94276, Le Kremlin-Bicêtre Cedex, France
| | - Xiaojian Shao
- Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, K1A 0R6, Canada
| | - Christophe Penna
- Department of Visceral and Digestive Surgery, Hôpital Bicêtre AP-HP, Paris Saclay University, 94276, Le Kremlin-Bicêtre Cedex, France
| | - Antoine Brouquet
- Department of Visceral and Digestive Surgery, Hôpital Bicêtre AP-HP, Paris Saclay University, 94276, Le Kremlin-Bicêtre Cedex, France
| | - Pierre Bougnères
- UMR INSERM 1169 and Université Paris Saclay, Hôpital Bicêtre, 94276, Le Kremlin-Bicêtre Cedex, France.
- Groupe d'Études sur le Diabète, l'Obésité, la Croissance, GETDOC, Hôpital Bicêtre, 94276, Le Kremlin-Bicêtre Cedex, France.
- MIRCEN Institute, CEA Paris-Saclay/site de Fontenay-aux-Roses, Bâtiment 56 PC 103, 18 route du Panorama, BP6 92265, Fontenay-aux-Roses Cedex, France.
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Hehmeyer J, Spitz F, Marlow H. Shifting landscapes: the role of 3D genomic organizations in gene regulatory strategies. Curr Opin Genet Dev 2023; 81:102064. [PMID: 37390583 PMCID: PMC10547022 DOI: 10.1016/j.gde.2023.102064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 07/02/2023]
Abstract
3D genome folding enables the physical storage of chromosomes into the compact volume of a cell's nucleus, allows for the accurate segregation of chromatin to daughter cells, and has been shown to be tightly coupled to the way in which genetic information is converted into transcriptional programs [1-3]. Importantly, this link between chromatin architecture and gene regulation is a selectable feature in which modifications to chromatin organization accompany, or perhaps even drive the establishment of new regulatory strategies with enduring impacts on animal body plan complexity. Here, we discuss the nature of different 3D genome folding systems found across the tree of life, with particular emphasis on metazoans, and the relative influence of these systems on gene regulation. We suggest how the properties of these folding systems have influenced regulatory strategies employed by different lineages and may have catalyzed the partitioning and specialization of genetic programs that enabled multicellularity and organ-grade body plan complexity.
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Affiliation(s)
- Jenks Hehmeyer
- Department of Organismal Biology and Anatomy, The University of Chicago, USA
| | - François Spitz
- Department of Human Genetics, The University of Chicago, USA
| | - Heather Marlow
- Department of Organismal Biology and Anatomy, The University of Chicago, USA.
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Wang X, Liu D, Luo J, Kong D, Zhang Y. Exploring the Role of Enhancer-Mediated Transcriptional Regulation in Precision Biology. Int J Mol Sci 2023; 24:10843. [PMID: 37446021 PMCID: PMC10342031 DOI: 10.3390/ijms241310843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/18/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
The emergence of precision biology has been driven by the development of advanced technologies and techniques in high-resolution biological research systems. Enhancer-mediated transcriptional regulation, a complex network of gene expression and regulation in eukaryotes, has attracted significant attention as a promising avenue for investigating the underlying mechanisms of biological processes and diseases. To address biological problems with precision, large amounts of data, functional information, and research on the mechanisms of action of biological molecules is required to address biological problems with precision. Enhancers, including typical enhancers and super enhancers, play a crucial role in gene expression and regulation within this network. The identification and targeting of disease-associated enhancers hold the potential to advance precision medicine. In this review, we present the concepts, progress, importance, and challenges in precision biology, transcription regulation, and enhancers. Furthermore, we propose a model of transcriptional regulation for multi-enhancers and provide examples of their mechanisms in mammalian cells, thereby enhancing our understanding of how enhancers achieve precise regulation of gene expression in life processes. Precision biology holds promise in providing new tools and platforms for discovering insights into gene expression and disease occurrence, ultimately benefiting individuals and society as a whole.
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Affiliation(s)
- Xueyan Wang
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Danli Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Jing Luo
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Dashuai Kong
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Yubo Zhang
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
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