1
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Gonzalez P, Hauck QC, Baxevanis AD. Conserved Noncoding Elements Evolve Around the Same Genes Throughout Metazoan Evolution. Genome Biol Evol 2024; 16:evae052. [PMID: 38502060 PMCID: PMC10988421 DOI: 10.1093/gbe/evae052] [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: 08/06/2023] [Revised: 03/07/2024] [Accepted: 03/13/2024] [Indexed: 03/20/2024] Open
Abstract
Conserved noncoding elements (CNEs) are DNA sequences located outside of protein-coding genes that can remain under purifying selection for up to hundreds of millions of years. Studies in vertebrate genomes have revealed that most CNEs carry out regulatory functions. Notably, many of them are enhancers that control the expression of homeodomain transcription factors and other genes that play crucial roles in embryonic development. To further our knowledge of CNEs in other parts of the animal tree, we conducted a large-scale characterization of CNEs in more than 50 genomes from three of the main branches of the metazoan tree: Cnidaria, Mollusca, and Arthropoda. We identified hundreds of thousands of CNEs and reconstructed the temporal dynamics of their appearance in each lineage, as well as determining their spatial distribution across genomes. We show that CNEs evolve repeatedly around the same genes across the Metazoa, including around homeodomain genes and other transcription factors; they also evolve repeatedly around genes involved in neural development. We also show that transposons are a major source of CNEs, confirming previous observations from vertebrates and suggesting that they have played a major role in wiring developmental gene regulatory mechanisms since the dawn of animal evolution.
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Affiliation(s)
- Paul Gonzalez
- Center for Genomics and Data Science Research, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Quinn C Hauck
- Center for Genomics and Data Science Research, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andreas D Baxevanis
- Center for Genomics and Data Science Research, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
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2
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Zhang G, Fu Y, Yang L, Ye F, Zhang P, Zhang S, Ma L, Li J, Wu H, Han X, Wang J, Guo G. Construction of single-cell cross-species chromatin accessibility landscapes with combinatorial-hybridization-based ATAC-seq. Dev Cell 2024; 59:793-811.e8. [PMID: 38330939 DOI: 10.1016/j.devcel.2024.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/03/2023] [Accepted: 01/18/2024] [Indexed: 02/10/2024]
Abstract
Despite recent advances in single-cell genomics, the lack of maps for single-cell candidate cis-regulatory elements (cCREs) in non-mammal species has limited our exploration of conserved regulatory programs across vertebrates and invertebrates. Here, we developed a combinatorial-hybridization-based method for single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) named CH-ATAC-seq, enabling the construction of single-cell accessible chromatin landscapes for zebrafish, Drosophila, and earthworms (Eisenia andrei). By integrating scATAC censuses of humans, monkeys, and mice, we systematically identified 152 distinct main cell types and around 0.8 million cell-type-specific cCREs. Our analysis provided insights into the conservation of neural, muscle, and immune lineages across species, while epithelial cells exhibited a higher organ-origin heterogeneity. Additionally, a large-scale gene regulatory network (GRN) was constructed in four vertebrates by integrating scRNA-seq censuses. Overall, our study provides a valuable resource for comparative epigenomics, identifying the evolutionary conservation and divergence of gene regulation across different species.
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Affiliation(s)
- Guodong Zhang
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China; Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Yuting Fu
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Lei Yang
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Fang Ye
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China; Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Peijing Zhang
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Shuang Zhang
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Lifeng Ma
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Jiaqi Li
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Hanyu Wu
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Xiaoping Han
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China; Zhejiang Provincial Key Laboratory for Tissue Engineering and Regenerative Medicine, Dr. Li Dak Sum & Yip Yio Chin Center for Stem Cell and Regenerative Medicine, Hangzhou 310058, China.
| | - Jingjing Wang
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China; Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China.
| | - Guoji Guo
- Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310000, China; Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Tissue Engineering and Regenerative Medicine, Dr. Li Dak Sum & Yip Yio Chin Center for Stem Cell and Regenerative Medicine, Hangzhou 310058, China; Institute of Hematology, Zhejiang University, Hangzhou, China.
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3
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Wei J, Zhang W, Jiang A, Peng H, Zhang Q, Li Y, Bi J, Wang L, Liu P, Wang J, Ge Y, Zhang L, Yu H, Li L, Wang S, Leng L, Chen K, Dong B. Temporospatial hierarchy and allele-specific expression of zygotic genome activation revealed by distant interspecific urochordate hybrids. Nat Commun 2024; 15:2395. [PMID: 38493164 PMCID: PMC10944513 DOI: 10.1038/s41467-024-46780-0] [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: 01/27/2023] [Accepted: 03/06/2024] [Indexed: 03/18/2024] Open
Abstract
Zygotic genome activation (ZGA) is a universal process in early embryogenesis of metazoan, when the quiescent zygotic nucleus initiates global transcription. However, the mechanisms related to massive genome activation and allele-specific expression (ASE) remain not well understood. Here, we develop hybrids from two deeply diverged (120 Mya) ascidian species to symmetrically document the dynamics of ZGA. We identify two coordinated ZGA waves represent early developmental and housekeeping gene reactivation, respectively. Single-cell RNA sequencing reveals that the major expression wave exhibits spatial heterogeneity and significantly correlates with cell fate. Moreover, allele-specific expression occurs in a species- rather than parent-related manner, demonstrating the divergence of cis-regulatory elements between the two species. These findings provide insights into ZGA in chordates.
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Affiliation(s)
- Jiankai Wei
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
- MoE Key Laboratory of Evolution and Marine Biodiversity, Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Wei Zhang
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - An Jiang
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Hongzhe Peng
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Quanyong Zhang
- State Key Laboratory of Primate Biomedical Research and Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Yuting Li
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Jianqing Bi
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Linting Wang
- National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
| | - Penghui Liu
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Jing Wang
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Yonghang Ge
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Liya Zhang
- State Key Laboratory of Primate Biomedical Research and Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Haiyan Yu
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Lei Li
- National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
| | - Shi Wang
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
| | - Liang Leng
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Kai Chen
- State Key Laboratory of Primate Biomedical Research and Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119 Haibin Rd, Nansha Dist., Guangzhou, 511458, China.
| | - Bo Dong
- Fang Zongxi Center for Marine EvoDevo, MoE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, 266237, China.
- MoE Key Laboratory of Evolution and Marine Biodiversity, Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China.
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4
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Frith MC, Ni S. DNA Conserved in Diverse Animals Since the Precambrian Controls Genes for Embryonic Development. Mol Biol Evol 2023; 40:msad275. [PMID: 38085182 PMCID: PMC10735318 DOI: 10.1093/molbev/msad275] [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: 07/23/2023] [Revised: 11/13/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
DNA that controls gene expression (e.g. enhancers, promoters) has seemed almost never to be conserved between distantly related animals, like vertebrates and arthropods. This is mysterious, because development of such animals is partly organized by homologous genes with similar complex expression patterns, termed "deep homology." Here, we report 25 regulatory DNA segments conserved across bilaterian animals, of which 7 are also conserved in cnidaria (coral and sea anemone). They control developmental genes (e.g. Nr2f, Ptch, Rfx1/3, Sall, Smad6, Sp5, Tbx2/3), including six homeobox genes: Gsx, Hmx, Meis, Msx, Six1/2, and Zfhx3/4. The segments contain perfectly or near-perfectly conserved CCAAT boxes, E-boxes, and other sequences recognized by regulatory proteins. More such DNA conservation will surely be found soon, as more genomes are published and sequence comparison is optimized. This reveals a control system for animal development conserved since the Precambrian.
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Affiliation(s)
- Martin C Frith
- Artificial Intelligence Research Center, AIST, Tokyo, Japan
- Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan
- Computational Bio Big Data Open Innovation Laboratory, AIST, Tokyo, Japan
| | - Shengliang Ni
- Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan
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5
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Neumann JS, Desalle R, Narechania A, Schierwater B, Tessler M. Morphological Characters Can Strongly Influence Early Animal Relationships Inferred from Phylogenomic Data Sets. Syst Biol 2021; 70:360-375. [PMID: 32462193 PMCID: PMC7875439 DOI: 10.1093/sysbio/syaa038] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 01/27/2020] [Accepted: 01/29/2020] [Indexed: 12/19/2022] Open
Abstract
There are considerable phylogenetic incongruencies between morphological and phylogenomic data for the deep evolution of animals. This has contributed to a heated debate over the earliest-branching lineage of the animal kingdom: the sister to all other Metazoa (SOM). Here, we use published phylogenomic data sets ($\sim $45,000-400,000 characters in size with $\sim $15-100 taxa) that focus on early metazoan phylogeny to evaluate the impact of incorporating morphological data sets ($\sim $15-275 characters). We additionally use small exemplar data sets to quantify how increased taxon sampling can help stabilize phylogenetic inferences. We apply a plethora of common methods, that is, likelihood models and their "equivalent" under parsimony: character weighting schemes. Our results are at odds with the typical view of phylogenomics, that is, that genomic-scale data sets will swamp out inferences from morphological data. Instead, weighting morphological data 2-10$\times $ in both likelihood and parsimony can in some cases "flip" which phylum is inferred to be the SOM. This typically results in the molecular hypothesis of Ctenophora as the SOM flipping to Porifera (or occasionally Placozoa). However, greater taxon sampling improves phylogenetic stability, with some of the larger molecular data sets ($>$200,000 characters and up to $\sim $100 taxa) showing node stability even with $\geqq100\times $ upweighting of morphological data. Accordingly, our analyses have three strong messages. 1) The assumption that genomic data will automatically "swamp out" morphological data is not always true for the SOM question. Morphological data have a strong influence in our analyses of combined data sets, even when outnumbered thousands of times by molecular data. Morphology therefore should not be counted out a priori. 2) We here quantify for the first time how the stability of the SOM node improves for several genomic data sets when the taxon sampling is increased. 3) The patterns of "flipping points" (i.e., the weighting of morphological data it takes to change the inferred SOM) carry information about the phylogenetic stability of matrices. The weighting space is an innovative way to assess comparability of data sets that could be developed into a new sensitivity analysis tool. [Metazoa; Morphology; Phylogenomics; Weighting.].
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Affiliation(s)
- Johannes S Neumann
- Richard Gilder Graduate School, American Museum of Natural History, New York, NY 10024, USA
- Division of Invertebrate Zoology, American Museum of Natural History, New York, NY 10024, USA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
| | - Rob Desalle
- Division of Invertebrate Zoology, American Museum of Natural History, New York, NY 10024, USA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
| | - Apurva Narechania
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
| | - Bernd Schierwater
- Division of Invertebrate Zoology, American Museum of Natural History, New York, NY 10024, USA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
- ITZ, Division of Ecology and Evolution, Tierärztliche Hochschule Hannover, Bünteweg 9, 30559 Hannover, Germany
| | - Michael Tessler
- Division of Invertebrate Zoology, American Museum of Natural History, New York, NY 10024, USA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
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6
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Identification of distinct LRC- and Fc receptor complex-like chromosomal regions in fish supports that teleost leukocyte immune-type receptors are distant relatives of mammalian Fc receptor-like molecules. Immunogenetics 2021; 73:93-109. [PMID: 33410929 DOI: 10.1007/s00251-020-01193-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 11/17/2020] [Indexed: 01/17/2023]
Abstract
Leukocyte immune-type receptors (LITRs) are a large family of immunoregulatory receptor-types originally identified in the channel catfish (Ictalurus punctatus (Ip)LITRs). Phylogenetic analyses of LITRs show that they share distant evolutionary relationships with important mammalian immunoregulatory receptors belonging to the Fc receptors family and the leukocyte receptor complex (LRC), but their syntenic relationships with these immunoglobulin superfamily members have not been investigated. To further examine the possible evolutionary connections between teleost LITRs and various mammalian immunoregulatory receptor-types, we surveyed the genomic databases of representative vertebrate taxa and our results show that teleost LITRs generally exist in large genomic clusters, which are linked to vangl2, arhgef11, and slam family genes, features that are also shared by amphibian and mammalian Fc receptor-like molecules (FCRLs). Moreover, detailed phylogenetic comparisons between the individual Ig-like domains of LITRs and mammalian FCRLs shows that these receptors share related Ig-like domains indicative of their common ancestry. However, contrary to our previous reports, no supportive evidence for phylogenetic relationships between the Ig-like domains of LITRs with the Ig-like domains of LRC-encoded mammalian immunoregulatory receptors was found. We also identified an LRC-like region in the zebrafish genome, but no expanded litr-related genes were located in this region. Similarly, no lilr-related genes were found in spotted gar, a representative basal ray-finned fish. Finally, two distantly related fcrls and an LRC-like gene were identified in the elephant shark genome, suggesting that the loss of an immunoregulatory receptor-containing LRC region may be unique to ray-finned fish.
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7
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Colella M, Cuomo D, Giacco A, Mallardo M, De Felice M, Ambrosino C. Thyroid Hormones and Functional Ovarian Reserve: Systemic vs. Peripheral Dysfunctions. J Clin Med 2020; 9:E1679. [PMID: 32492950 PMCID: PMC7355968 DOI: 10.3390/jcm9061679] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 05/27/2020] [Indexed: 02/06/2023] Open
Abstract
Thyroid hormones (THs) exert pleiotropic effects in different mammalian organs, including gonads. Genetic and non-genetic factors, such as ageing and environmental stressors (e.g., low-iodine intake, exposure to endocrine disruptors, etc.), can alter T4/T3 synthesis by the thyroid. In any case, peripheral T3, controlled by tissue-specific enzymes (deiodinases), receptors and transporters, ensures organ homeostasis. Conflicting reports suggest that both hypothyroidism and hyperthyroidism, assessed by mean of circulating T4, T3 and Thyroid-Stimulating Hormone (TSH), could affect the functionality of the ovarian reserve determining infertility. The relationship between ovarian T3 level and functional ovarian reserve (FOR) is poorly understood despite that the modifications of local T3 metabolism and signalling have been associated with dysfunctions of several organs. Here, we will summarize the current knowledge on the role of TH signalling and its crosstalk with other pathways in controlling the physiological and premature ovarian ageing and, finally, in preserving FOR. We will consider separately the reports describing the effects of circulating and local THs on the ovarian health to elucidate their role in ovarian dysfunctions.
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Affiliation(s)
- Marco Colella
- Department of Science and Technology, University of Sannio, via De Sanctis, 82100 Benevento, Italy; (M.C.); (A.G.)
- IRGS, Biogem-Scarl, Via Camporeale, Ariano Irpino, 83031 Avellino, Italy
| | - Danila Cuomo
- Department of Molecular and Cellular Medicine, College of Medicine, Texas A&M University, College Station, TX 77843, USA;
| | - Antonia Giacco
- Department of Science and Technology, University of Sannio, via De Sanctis, 82100 Benevento, Italy; (M.C.); (A.G.)
| | - Massimo Mallardo
- Molecular Medicine and Medical Biotechnologies, University of Naples “Federico II”, 80131 Naples, Italy;
| | - Mario De Felice
- Department of Molecular and Cellular Medicine, College of Medicine, Texas A&M University, College Station, TX 77843, USA;
- Molecular Medicine and Medical Biotechnologies, University of Naples “Federico II”, 80131 Naples, Italy;
- IEOS-CNR, Via Pansini 6, 80131 Naples, Italy
| | - Concetta Ambrosino
- Department of Science and Technology, University of Sannio, via De Sanctis, 82100 Benevento, Italy; (M.C.); (A.G.)
- IRGS, Biogem-Scarl, Via Camporeale, Ariano Irpino, 83031 Avellino, Italy
- IEOS-CNR, Via Pansini 6, 80131 Naples, Italy
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8
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Functional conserved non-coding elements among tunicates and chordates. Dev Biol 2019; 448:101-110. [DOI: 10.1016/j.ydbio.2018.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 12/10/2018] [Accepted: 12/11/2018] [Indexed: 11/22/2022]
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9
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Modulating transcription factor activity: Interfering with protein-protein interaction networks. Semin Cell Dev Biol 2018; 99:12-19. [PMID: 30172762 DOI: 10.1016/j.semcdb.2018.07.019] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 02/16/2018] [Accepted: 07/17/2018] [Indexed: 11/23/2022]
Abstract
Biophysical parameters that govern transcription factors activity are binding locations across the genome, dwelling time at these regulatory elements and specific protein-protein interactions. Most molecular strategies used to develop small compounds that block transcription factors activity have been based on biochemistry and cell biology methods that that do not take into consideration these key biophysical features. Here, we review the advance in the field of transcription factor biology and describe how their interactome and transcriptional regulation on a genome wide scale have been deciphered. We suggest that this new knowledge has the potential to be used to implement innovative research drug discovery program.
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10
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Abstract
What made us human? Gene expression changes clearly played a significant part in human evolution, but pinpointing the causal regulatory mutations is hard. Comparative genomics enabled the identification of human accelerated regions (HARs) and other human-specific genome sequences. The major challenge in the past decade has been to link diverged sequences to uniquely human biology. This review discusses approaches to this problem, progress made at the molecular level, and prospects for moving towards genetic causes for uniquely human biology.
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Affiliation(s)
- Lucía F Franchini
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular (INGEBI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Katherine S Pollard
- Gladstone Institutes, San Francisco, CA, 94158, USA. .,Department of Epidemiology & Biostatistics, Institute for Human Genetics, Institute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA.
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11
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Perspectives on Gene Regulatory Network Evolution. Trends Genet 2017; 33:436-447. [PMID: 28528721 DOI: 10.1016/j.tig.2017.04.005] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 04/24/2017] [Accepted: 04/25/2017] [Indexed: 11/23/2022]
Abstract
Animal development proceeds through the activity of genes and their cis-regulatory modules (CRMs) working together in sets of gene regulatory networks (GRNs). The emergence of species-specific traits and novel structures results from evolutionary changes in GRNs. Recent work in a wide variety of animal models, and particularly in insects, has started to reveal the modes and mechanisms of GRN evolution. I discuss here various aspects of GRN evolution and argue that developmental system drift (DSD), in which conserved phenotype is nevertheless a result of changed genetic interactions, should regularly be viewed from the perspective of GRN evolution. Advances in methods to discover related CRMs in diverse insect species, a critical requirement for detailed GRN characterization, are also described.
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12
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Simakov O, Kawashima T. Independent evolution of genomic characters during major metazoan transitions. Dev Biol 2016; 427:179-192. [PMID: 27890449 DOI: 10.1016/j.ydbio.2016.11.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 11/08/2016] [Accepted: 11/14/2016] [Indexed: 02/03/2023]
Abstract
Metazoan evolution encompasses a vast evolutionary time scale spanning over 600 million years. Our ability to infer ancestral metazoan characters, both morphological and functional, is limited by our understanding of the nature and evolutionary dynamics of the underlying regulatory networks. Increasing coverage of metazoan genomes enables us to identify the evolutionary changes of the relevant genomic characters such as the loss or gain of coding sequences, gene duplications, micro- and macro-synteny, and non-coding element evolution in different lineages. In this review we describe recent advances in our understanding of ancestral metazoan coding and non-coding features, as deduced from genomic comparisons. Some genomic changes such as innovations in gene and linkage content occur at different rates across metazoan clades, suggesting some level of independence among genomic characters. While their contribution to biological innovation remains largely unclear, we review recent literature about certain genomic changes that do correlate with changes to specific developmental pathways and metazoan innovations. In particular, we discuss the origins of the recently described pharyngeal cluster which is conserved across deuterostome genomes, and highlight different genomic features that have contributed to the evolution of this group. We also assess our current capacity to infer ancestral metazoan states from gene models and comparative genomics tools and elaborate on the future directions of metazoan comparative genomics relevant to evo-devo studies.
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Affiliation(s)
- Oleg Simakov
- Okinawa Institute of Science and Technology, Okinawa, Japan.
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13
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Gaiti F, Calcino AD, Tanurdžić M, Degnan BM. Origin and evolution of the metazoan non-coding regulatory genome. Dev Biol 2016; 427:193-202. [PMID: 27880868 DOI: 10.1016/j.ydbio.2016.11.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Revised: 11/14/2016] [Accepted: 11/18/2016] [Indexed: 02/09/2023]
Abstract
Animals rely on genomic regulatory systems to direct the dynamic spatiotemporal and cell-type specific gene expression that is essential for the development and maintenance of a multicellular lifestyle. Although it is widely appreciated that these systems ultimately evolved from genomic regulatory mechanisms present in single-celled stem metazoans, it remains unclear how this occurred. Here, we focus on the contribution of the non-coding portion of the genome to the evolution of animal gene regulation, specifically on recent insights from non-bilaterian metazoan lineages, and unicellular and colonial holozoan sister taxa. High-throughput next-generation sequencing, largely in bilaterian model species, has led to the discovery of tens of thousands of non-coding RNA genes (ncRNAs), including short, long and circular forms, and uncovered the central roles they play in development. Based on the analysis of non-bilaterian metazoan, unicellular holozoan and fungal genomes, the evolution of some ncRNAs, such as Piwi-interacting RNAs, correlates with the emergence of metazoan multicellularity, while others, including microRNAs, long non-coding RNAs and circular RNAs, appear to be more ancient. Analysis of non-coding regulatory DNA and histone post-translational modifications have revealed that some cis-regulatory mechanisms, such as those associated with proximal promoters, are present in non-animal holozoans, while others appear to be metazoan innovations, most notably distal enhancers. In contrast, the cohesin-CTCF system for regulating higher-order chromatin structure and enhancer-promoter long-range interactions appears to be restricted to bilaterians. Taken together, most bilaterian non-coding regulatory mechanisms appear to have originated before the divergence of crown metazoans. However, differential expansion of non-coding RNA and cis-regulatory DNA repertoires in bilaterians may account for their increased regulatory and morphological complexity relative to non-bilaterians.
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Affiliation(s)
- Federico Gaiti
- School of Biological Sciences, University of Queensland, Brisbane, Australia.
| | - Andrew D Calcino
- Department of Integrative Zoology, University of Vienna, Vienna, Austria.
| | - Miloš Tanurdžić
- School of Biological Sciences, University of Queensland, Brisbane, Australia.
| | - Bernard M Degnan
- School of Biological Sciences, University of Queensland, Brisbane, Australia.
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Buffry AD, Mendes CC, McGregor AP. The Functionality and Evolution of Eukaryotic Transcriptional Enhancers. ADVANCES IN GENETICS 2016; 96:143-206. [PMID: 27968730 DOI: 10.1016/bs.adgen.2016.08.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Enhancers regulate precise spatial and temporal patterns of gene expression in eukaryotes and, moreover, evolutionary changes in these modular cis-regulatory elements may represent the predominant genetic basis for phenotypic evolution. Here, we review approaches to identify and functionally analyze enhancers and their transcription factor binding sites, including assay for transposable-accessible chromatin-sequencing (ATAC-Seq) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9, respectively. We also explore enhancer functionality, including how transcription factor binding sites combine to regulate transcription, as well as research on shadow and super enhancers, and how enhancers can act over great distances and even in trans. Finally, we discuss recent theoretical and empirical data on how transcription factor binding sites and enhancers evolve. This includes how the function of enhancers is maintained despite the turnover of transcription factor binding sites as well as reviewing studies where mutations in enhancers have been shown to underlie morphological change.
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Affiliation(s)
- A D Buffry
- Oxford Brookes University, Oxford, United Kingdom
| | - C C Mendes
- Oxford Brookes University, Oxford, United Kingdom
| | - A P McGregor
- Oxford Brookes University, Oxford, United Kingdom
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15
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Yue JX, Kozmikova I, Ono H, Nossa CW, Kozmik Z, Putnam NH, Yu JK, Holland LZ. Conserved Noncoding Elements in the Most Distant Genera of Cephalochordates: The Goldilocks Principle. Genome Biol Evol 2016; 8:2387-405. [PMID: 27412606 PMCID: PMC5010895 DOI: 10.1093/gbe/evw158] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Cephalochordates, the sister group of vertebrates + tunicates, are evolving particularly slowly. Therefore, genome comparisons between two congeners of Branchiostoma revealed so many conserved noncoding elements (CNEs), that it was not clear how many are functional regulatory elements. To more effectively identify CNEs with potential regulatory functions, we compared noncoding sequences of genomes of the most phylogenetically distant cephalochordate genera, Asymmetron and Branchiostoma, which diverged approximately 120-160 million years ago. We found 113,070 noncoding elements conserved between the two species, amounting to 3.3% of the genome. The genomic distribution, target gene ontology, and enriched motifs of these CNEs all suggest that many of them are probably cis-regulatory elements. More than 90% of previously verified amphioxus regulatory elements were re-captured in this study. A search of the cephalochordate CNEs around 50 developmental genes in several vertebrate genomes revealed eight CNEs conserved between cephalochordates and vertebrates, indicating sequence conservation over >500 million years of divergence. The function of five CNEs was tested in reporter assays in zebrafish, and one was also tested in amphioxus. All five CNEs proved to be tissue-specific enhancers. Taken together, these findings indicate that even though Branchiostoma and Asymmetron are distantly related, as they are evolving slowly, comparisons between them are likely optimal for identifying most of their tissue-specific cis-regulatory elements laying the foundation for functional characterizations and a better understanding of the evolution of developmental regulation in cephalochordates.
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Affiliation(s)
- Jia-Xing Yue
- Biosciences at Rice, Rice University, Houston, Texas Present address: Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR 7284, INSERM U1081, Nice 06107 France
| | - Iryna Kozmikova
- Department of Transcriptional Regulation, Institute of Molecular Genetics, Prague 14220, Czech Republic
| | - Hiroki Ono
- Marine Biology Research Division, Scripps Institution of Oceanography, UC San Diego, La Jolla, California
| | - Carlos W Nossa
- Biosciences at Rice, Rice University, Houston, Texas Present address: Gene by Gene Ltd., Houston, TX 77008
| | - Zbynek Kozmik
- Department of Transcriptional Regulation, Institute of Molecular Genetics, Prague 14220, Czech Republic
| | - Nicholas H Putnam
- Biosciences at Rice, Rice University, Houston, Texas Present address: Dovetail Genomics, Santa Cruz, CA 95060
| | - Jr-Kai Yu
- Institute of Cellular and Organismic Biology, Academia Sinica, Taipei, Taiwan
| | - Linda Z Holland
- Marine Biology Research Division, Scripps Institution of Oceanography, UC San Diego, La Jolla, California
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16
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Bagadia M, Singh A, Singh Sandhu K. Three Dimensional Organization of Genome Might Have Guided the Dynamics of Gene Order Evolution in Eukaryotes. Genome Biol Evol 2016; 8:946-54. [PMID: 26957031 PMCID: PMC4824123 DOI: 10.1093/gbe/evw050] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
In eukaryotes, genes are nonrandomly organized into short gene-dense regions or "gene-clusters" interspersed by long gene-poor regions. How these gene-clusters have evolved is not entirely clear. Gene duplication may not account for all the gene-clusters since the genes in most of the clusters do not exhibit significant sequence similarity. In this study, using genome-wide data sets from budding yeast, fruit-fly, and human, we show that: 1) long-range evolutionary repositioning of genes strongly associate with their spatial proximity in the nucleus; 2) presence of evolutionary DNA break-points at involved loci hints at their susceptibility to undergo long-range genomic rearrangements; and 3) correlated epigenetic and transcriptional states of engaged genes highlight the underlying evolutionary constraints. The significance of observation 1, 2, and 3 are particularly stronger for the instances of inferred evolutionary gain, as compared with loss, of linear gene-clustering. These observations suggest that the long-range genomic rearrangements guided through 3D genome organization might have contributed to the evolution of gene order. We further hypothesize that the evolution of linear gene-clusters in eukaryotic genomes might have been mediated through spatial interactions among distant loci in order to optimize co-ordinated regulation of genes. We model this hypothesis through a heuristic model of gene-order evolution.
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Affiliation(s)
- Meenakshi Bagadia
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Mohali, SAS Nagar 140306, India
| | - Arashdeep Singh
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Mohali, SAS Nagar 140306, India
| | - Kuljeet Singh Sandhu
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Mohali, SAS Nagar 140306, India
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17
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Maeso I, Tena JJ. Favorable genomic environments for cis-regulatory evolution: A novel theoretical framework. Semin Cell Dev Biol 2015; 57:2-10. [PMID: 26673387 DOI: 10.1016/j.semcdb.2015.12.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 12/02/2015] [Accepted: 12/05/2015] [Indexed: 12/22/2022]
Abstract
Cis-regulatory changes are arguably the primary evolutionary source of animal morphological diversity. With the recent explosion of genome-wide comparisons of the cis-regulatory content in different animal species is now possible to infer general principles underlying enhancer evolution. However, these studies have also revealed numerous discrepancies and paradoxes, suggesting that the mechanistic causes and modes of cis-regulatory evolution are still not well understood and are probably much more complex than generally appreciated. Here, we argue that the mutational mechanisms and genomic regions generating new regulatory activities must comply with the constraints imposed by the molecular properties of cis-regulatory elements (CREs) and the organizational features of long-range chromatin interactions. Accordingly, we propose a new integrative evolutionary framework for cis-regulatory evolution based on two major premises for the origin of novel enhancer activity: (i) an accessible chromatin environment and (ii) compatibility with the 3D structure and interactions of pre-existing CREs. Mechanisms and DNA sequences not fulfilling these premises, will be less likely to have a measurable impact on gene expression and as such, will have a minor contribution to the evolution of gene regulation. Finally, we discuss current comparative cis-regulatory data under the light of this new evolutionary model, and propose that the two most prominent mechanisms for the evolution of cis-regulatory changes are the overprinting of ancestral CREs and the exaptation of transposable elements.
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Affiliation(s)
- Ignacio Maeso
- Centro Andaluz de Biología del Desarrollo (CSIC/UPO/JA), Universidad Pablo de Olavide, 41013 Seville, Spain.
| | - Juan J Tena
- Centro Andaluz de Biología del Desarrollo (CSIC/UPO/JA), Universidad Pablo de Olavide, 41013 Seville, Spain.
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18
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Duque T, Sinha S. What does it take to evolve an enhancer? A simulation-based study of factors influencing the emergence of combinatorial regulation. Genome Biol Evol 2015; 7:1415-31. [PMID: 25956793 PMCID: PMC4494070 DOI: 10.1093/gbe/evv080] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
There is widespread interest today in understanding enhancers, which are regulatory elements typically harboring several transcription factor binding sites and mediating the combinatorial effect of transcription factors on gene expression. The evolution of enhancers poses interesting unanswered questions, for example, the evolutionary time taken for a typical enhancer to emerge or the factors shaping its evolution. Existing approaches to cis-regulatory evolution have often ignored the combinatorial nature and varied biochemical mechanisms of gene regulation encoded in enhancers. We report on our investigation of enhancer evolution through the use of PEBCRES, a framework for evolutionary simulation of enhancers that employs a mechanistic and well-supported sequence-to-expression model to assign fitness to the evolving enhancer genotype. We estimated the time necessary to evolve, from genomic background, enhancers capable of driving complex gene expression patterns similar to those involved in early development in Drosophila. We found the time-to-evolve to range between 0.5 and 10 Myr, and to vary greatly with the target expression pattern, complexity of the real enhancer known to encode that pattern, and the strength of input from specific transcription factors. To our knowledge, this is the first estimate of waiting times for realistic enhancers to evolve. The in silico evolved enhancers had, with a few interesting exceptions, site compositions similar to those seen in real enhancers for the same patterns. Our simulations also revealed that certain features of an enhancer might evolve not due to their biological function but as aids to the evolutionary process itself.
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Affiliation(s)
- Thyago Duque
- Department of Computer Science, University of Illinois at Urbana-Champaign
| | - Saurabh Sinha
- Department of Computer Science, University of Illinois at Urbana-Champaign Institute for Genomic Biology, University of Illinois at Urbana-Champaign
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19
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Lion M, Raimondi I, Donati S, Jousson O, Ciribilli Y, Inga A. Evolution of p53 transactivation specificity through the lens of a yeast-based functional assay. PLoS One 2015; 10:e0116177. [PMID: 25668429 PMCID: PMC4323202 DOI: 10.1371/journal.pone.0116177] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Accepted: 10/16/2014] [Indexed: 11/18/2022] Open
Abstract
Co-evolution of transcription factors (TFs) with their respective cis-regulatory network enhances functional diversity in the course of evolution. We present a new approach to investigate transactivation capacity of sequence-specific TFs in evolutionary studies. Saccharomyces cerevisiae was used as an in vivo test tube and p53 proteins derived from human and five commonly used animal models were chosen as proof of concept. p53 is a highly conserved master regulator of environmental stress responses. Previous reports indicated conserved p53 DNA binding specificity in vitro, even for evolutionary distant species. We used isogenic yeast strains where p53-dependent transactivation was measured towards chromosomally integrated p53 response elements (REs). Ten REs were chosen to sample a wide range of DNA binding affinity and transactivation capacity for human p53 and proteins were expressed at two levels using an inducible expression system. We showed that the assay is amenable to study thermo-sensitivity of frog p53, and that chimeric constructs containing an ectopic transactivation domain could be rapidly developed to enhance the activity of proteins, such as fruit fly p53, that are poorly effective in engaging the yeast transcriptional machinery. Changes in the profile of relative transactivation towards the ten REs were measured for each p53 protein and compared to the profile obtained with human p53. These results, which are largely independent from relative p53 protein levels, revealed widespread evolutionary divergence of p53 transactivation specificity, even between human and mouse p53. Fruit fly and human p53 exhibited the largest discrimination among REs while zebrafish p53 was the least selective.
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Affiliation(s)
- Mattia Lion
- Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
| | - Ivan Raimondi
- Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
| | - Stefano Donati
- Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
| | - Olivier Jousson
- Laboratory of Microbial Genomics, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
| | - Yari Ciribilli
- Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
| | - Alberto Inga
- Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Mattarello, Trento, Italy
- * E-mail:
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20
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Vassalli QA, Anishchenko E, Caputi L, Sordino P, D'Aniello S, Locascio A. Regulatory elements retained during chordate evolution: Coming across tunicates. Genesis 2014; 53:66-81. [DOI: 10.1002/dvg.22838] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Revised: 11/06/2014] [Accepted: 11/11/2014] [Indexed: 12/22/2022]
Affiliation(s)
- Quirino Attilio Vassalli
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
| | - Evgeniya Anishchenko
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
| | - Luigi Caputi
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
| | - Paolo Sordino
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
- CNR ISAFOM, Institute for Agricultural and Forest Systems in the Mediterranean, Unitá organizzativa di supporto; Catania Italy
| | - Salvatore D'Aniello
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
| | - Annamaria Locascio
- Cellular and Developmental Biology Laboratory; Stazione Zoologica Anton Dohrn; Villa Comunale Naples Italy
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21
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Rubinstein M, de Souza FSJ. Evolution of transcriptional enhancers and animal diversity. Philos Trans R Soc Lond B Biol Sci 2013; 368:20130017. [PMID: 24218630 DOI: 10.1098/rstb.2013.0017] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Deciphering the genetic bases that drive animal diversity is one of the major challenges of modern biology. Although four decades ago it was proposed that animal evolution was mainly driven by changes in cis-regulatory DNA elements controlling gene expression rather than in protein-coding sequences, only now are powerful bioinformatics and experimental approaches available to accelerate studies into how the evolution of transcriptional enhancers contributes to novel forms and functions. In the introduction to this Theme Issue, we start by defining the general properties of transcriptional enhancers, such as modularity and the coexistence of tight sequence conservation with transcription factor-binding site shuffling as different mechanisms that maintain the enhancer grammar over evolutionary time. We discuss past and current methods used to identify cell-type-specific enhancers and provide examples of how enhancers originate de novo, change and are lost in particular lineages. We then focus in the central part of this Theme Issue on analysing examples of how the molecular evolution of enhancers may change form and function. Throughout this introduction, we present the main findings of the articles, reviews and perspectives contributed to this Theme Issue that together illustrate some of the great advances and current frontiers in the field.
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Affiliation(s)
- Marcelo Rubinstein
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular, Consejo Nacional de Investigaciones Científicas y Técnicas, , C1428ADN Buenos Aires, Argentina
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