Origin of Animals
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Dynamical Gene Regulatory Networks Are Tuned by Transcriptional Autoregulation with Microrna Feedback Thomas G
www.nature.com/scientificreports OPEN Dynamical gene regulatory networks are tuned by transcriptional autoregulation with microRNA feedback Thomas G. Minchington1, Sam Grifths‑Jones2* & Nancy Papalopulu1* Concepts from dynamical systems theory, including multi‑stability, oscillations, robustness and stochasticity, are critical for understanding gene regulation during cell fate decisions, infammation and stem cell heterogeneity. However, the prevalence of the structures within gene networks that drive these dynamical behaviours, such as autoregulation or feedback by microRNAs, is unknown. We integrate transcription factor binding site (TFBS) and microRNA target data to generate a gene interaction network across 28 human tissues. This network was analysed for motifs capable of driving dynamical gene expression, including oscillations. Identifed autoregulatory motifs involve 56% of transcription factors (TFs) studied. TFs that autoregulate have more interactions with microRNAs than non‑autoregulatory genes and 89% of autoregulatory TFs were found in dual feedback motifs with a microRNA. Both autoregulatory and dual feedback motifs were enriched in the network. TFs that autoregulate were highly conserved between tissues. Dual feedback motifs with microRNAs were also conserved between tissues, but less so, and TFs regulate diferent combinations of microRNAs in a tissue‑dependent manner. The study of these motifs highlights ever more genes that have complex regulatory dynamics. These data provide a resource for the identifcation of TFs which regulate the dynamical properties of human gene expression. Cell fate changes are a key feature of development, regeneration and cancer, and are ofen thought of as a “land- scape” that cells move through1,2. Cell fate changes are driven by changes in gene expression: turning genes on or of, or changing their levels above or below a threshold where a cell fate change occurs. -
Role of Hox Genes in Regulating Digit Patterning ROCÍO PÉREZ-GÓMEZ, ENDIKA HARO, MARC FERNÁNDEZ-GUERRERO, MARÍA F
Int. J. Dev. Biol. 62: 797-805 (2018) https://doi.org/10.1387/ijdb.180200mr www.intjdevbiol.com Role of Hox genes in regulating digit patterning ROCÍO PÉREZ-GÓMEZ, ENDIKA HARO, MARC FERNÁNDEZ-GUERRERO, MARÍA F. BASTIDA and MARÍA A. ROS* Instituto de Biomedicina y Biotecnología de Cantabria, CSIC–SODERCAN Universidad de Cantabria, Santander, Spain ABSTRACT The distal part of the tetrapod limb, the autopod, is characterized by the presence of digits. The digits display a wide diversity of shapes and number reflecting selection pressure for functional adaptation. Despite extensive study, the different aspects of digit patterning, as well as the factors and mechanisms involved are not completely understood. Here, we review the evidence implicating Hox proteins in digit patterning and the interaction between Hox genes and the Sonic hedgehog/Gli3 pathway, the other major regulator of digit number and identity. Currently, it is well accepted that a self-organizing Turing-type mechanism underlies digit patterning, this being understood as the establishment of an iterative arrangement of digit/interdigit in the hand plate. We also discuss the involvement of 5’ Hox genes in regulating digit spacing in the digital plate and therefore the number of digits formed in this self-organizing system. KEY WORDS: limb development, Hox gene, digit patterning, Shh, Gli3 Introduction and Meyer, 2015). The digits are crucial elements for the function of the limb. They The basic plan of the tetrapod limb includes three distinct can be viewed as serial identical structures arranged along the proximo-distal (PD) segments: the stylopod (arm), the zeugopod antero-posterior (AP) axis of the autopod, thumb to little finger, or (forearm) and the autopod (hand/foot). -
Systematic Comparison of Sea Urchin and Sea Star Developmental Gene Regulatory Networks Explains How Novelty Is Incorporated in Early Development
ARTICLE https://doi.org/10.1038/s41467-020-20023-4 OPEN Systematic comparison of sea urchin and sea star developmental gene regulatory networks explains how novelty is incorporated in early development Gregory A. Cary 1,3,5, Brenna S. McCauley1,4,5, Olga Zueva1, Joseph Pattinato1, William Longabaugh2 & ✉ Veronica F. Hinman 1 1234567890():,; The extensive array of morphological diversity among animal taxa represents the product of millions of years of evolution. Morphology is the output of development, therefore phenotypic evolution arises from changes to the topology of the gene regulatory networks (GRNs) that control the highly coordinated process of embryogenesis. A particular challenge in under- standing the origins of animal diversity lies in determining how GRNs incorporate novelty while preserving the overall stability of the network, and hence, embryonic viability. Here we assemble a comprehensive GRN for endomesoderm specification in the sea star from zygote through gastrulation that corresponds to the GRN for sea urchin development of equivalent territories and stages. Comparison of the GRNs identifies how novelty is incorporated in early development. We show how the GRN is resilient to the introduction of a transcription factor, pmar1, the inclusion of which leads to a switch between two stable modes of Delta-Notch signaling. Signaling pathways can function in multiple modes and we propose that GRN changes that lead to switches between modes may be a common evolutionary mechanism for changes in embryogenesis. Our data additionally proposes a model in which evolutionarily conserved network motifs, or kernels, may function throughout development to stabilize these signaling transitions. 1 Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA. -
An Automatic Design Framework of Swarm Pattern Formation Based on Multi-Objective Genetic Programming
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming Zhun Fan, Senior Member, IEEE, Zhaojun Wang, Xiaomin Zhu, Bingliang Hu, Anmin Zou, and Dongwei Bao Abstract—Most existing swarm pattern formation methods predetermined trajectory and maintain a specific swarm pattern depend on a predefined gene regulatory network (GRN) structure in the execution of tasks. For example, Jin [11] proposed a that requires designers’ priori knowledge, which is difficult to hierarchical gene regulatory network for adaptive multi-robot adapt to complex and changeable environments. To dynamically adapt to the complex and changeable environments, we propose pattern formation. In this work, the swarm pattern is designed an automatic design framework of swarm pattern formation as a band of circle, which encircles targets in a dynamic based on multi-objective genetic programming. The proposed environments. In the latter case of using adaptive formation, framework does not need to define the structure of the GRN- swarm robots follow an adaptive pattern to encircle targets in based model in advance, and it applies some basic network motifs the environment. For example, Oh et al. [12] have introduced to automatically structure the GRN-based model. In addition, a multi-objective genetic programming (MOGP) combines with an evolving hierarchical gene regulatory network for morpho- NSGA-II, namely MOGP-NSGA-II, to balance the complexity genetic pattern formation in order to generate adaptive patterns and accuracy of the GRN-based model. In evolutionary process, which are adaptable to dynamic environments. an MOGP-NSGA-II and differential evolution (DE) are applied to In addition, swarm pattern formation has been widely ex- optimize the structures and parameters of the GRN-based model plored in recent years, which can be divided into four cate- in parallel. -
Gabriel Dover)
Dear Mr Darwin (Gabriel Dover) Home | Intro | About | Feedback | Prev | Next | Search Steele: Lamarck's Was Signature Darwin Wrong? Molecular Drive: the Third Force in evolution Geneticist Gabriel Dover claims that there is a third force in evolution: 'Molecular Drive' beside natural selection and neutral drift. Molecular drive is operationally distinct from natural selection and neutral drift. According to Dover it explains biological phenomena, such as the 700 copies of a ribosomal RNA gene and the origin of the 173 legs of the centipede, which natural selection and neutral drift alone cannot explain. by Gert Korthof version 1.3 24 Mar 2001 Were Darwin and Mendel both wrong? Molecular Drive is, according to Dover, an important factor in evolution, because it shapes the genomes and forms of organisms. Therefore Neo-Darwinism is incomplete without Molecular Drive. It is no wonder that the spread of novel genes was ascribed to natural selection, because it was the only known process that could promote the spread of novel genes. Dover doesn't reject the existence of natural selection but points out cases where natural selection clearly fails as a mechanism. Molecular drive is a non-Darwinian mechanism because it is independent of selection. We certainly need forces in evolution, since natural selection itself is not a force. It is the passive outcome of other processes. It is not an active process, notwithstanding its name. Natural selection as an explanation is too powerful for its own good. Molecular drive is non-Mendelian because some DNA segments are multiplied disproportional. In Mendelian genetics genes are present in just two copies (one on the maternal and one on the paternal chromosome). -
Homeobox Gene Expression Profile in Human Hematopoietic Multipotent
Leukemia (2003) 17, 1157–1163 & 2003 Nature Publishing Group All rights reserved 0887-6924/03 $25.00 www.nature.com/leu Homeobox gene expression profile in human hematopoietic multipotent stem cells and T-cell progenitors: implications for human T-cell development T Taghon1, K Thys1, M De Smedt1, F Weerkamp2, FJT Staal2, J Plum1 and G Leclercq1 1Department of Clinical Chemistry, Microbiology and Immunology, Ghent University Hospital, Ghent, Belgium; and 2Department of Immunology, Erasmus Medical Center, Rotterdam, The Netherlands Class I homeobox (HOX) genes comprise a large family of implicated in this transformation proces.14 The HOX-C locus transcription factors that have been implicated in normal and has been primarily implicated in lymphomas.15 malignant hematopoiesis. However, data on their expression or function during T-cell development is limited. Using degener- Hematopoietic cells are derived from stem cells that reside in ated RT-PCR and Affymetrix microarray analysis, we analyzed fetal liver (FL) in the embryo and in the adult bone marrow the expression pattern of this gene family in human multipotent (ABM), which have the unique ability to self-renew and thereby stem cells from fetal liver (FL) and adult bone marrow (ABM), provide a life-long supply of blood cells. T lymphocytes are a and in T-cell progenitors from child thymus. We show that FL specific type of hematopoietic cells that play a major role in the and ABM stem cells are similar in terms of HOX gene immune system. They develop through a well-defined order of expression, but significant differences were observed between differentiation steps in the thymus.16 Several transcription these two cell types and child thymocytes. -
Temporal Flexibility of Gene Regulatory Network Underlies a Novel Wing Pattern in Flies
Temporal flexibility of gene regulatory network underlies a novel wing pattern in flies Héloïse D. Dufoura,b, Shigeyuki Koshikawa (越川滋行)a,b,1,2,3, and Cédric Fineta,b,3,4 aHoward Hughes Medical Institute, University of Wisconsin, Madison, WI 53706; and bLaboratory of Molecular Biology, University of Wisconsin, Madison, WI 53706 Edited by Denis Duboule, University of Geneva, Geneva 4, Switzerland, and approved April 6, 2020 (received for review February 3, 2020) Organisms have evolved endless morphological, physiological, and Nevertheless, it does not explain how the new expression of behavioral novel traits during the course of evolution. Novel traits the coopted toolkit genes does not interfere with the develop- were proposed to evolve mainly by orchestration of preexisting ment of the tissue. Some authors have suggested that the reuse genes. Over the past two decades, biologists have shown that of toolkit genes might only happen during late development after cooption of gene regulatory networks (GRNs) indeed underlies completion of the early function of the redeployed genes (21, 22, numerous evolutionary novelties. However, very little is known 29). However, little is known about the properties of a GRN that about the actual GRN properties that allow such redeployment. allow the cooption of one or several of its components/genes Here we have investigated the generation and evolution of the without impairing the development of the tissue. complex wing pattern of the fly Samoaia leonensis. We show that In this study, we use the complex wing pigmentation pattern of the transcription factor Engrailed is recruited independently from the fly species Samoaia leonensis as a model to address how the the other players of the anterior–posterior specification network to generate a new wing pattern. -
Gene Regulatory Networks
Gene Regulatory Networks 02-710 Computaonal Genomics Seyoung Kim Transcrip6on Factor Binding Transcrip6on Control • Gene transcrip.on is influenced by – Transcrip.on factor binding affinity for the regulatory regions of target genes – Transcrip.on factor concentraon – Nucleosome posi.oning and chroman states – Enhancer ac.vity Gene Transcrip6onal Regulatory Network • The expression of a gene is controlled by cis and trans regulatory elements – Cis regulatory elements: DNA sequences in the regulatory region of the gene (e.g., TF binding sites) – Trans regulatory elements: RNAs and proteins that interact with the cis regulatory elements Gene Transcrip6onal Regulatory Network • Consider the following regulatory relaonships: Target gene1 Target TF gene2 Target gene3 Cis/Trans Regulatory Elements Binding site: cis Target TF regulatory element TF binding affinity gene1 can influence the TF target gene Target gene2 expression Target TF gene3 TF: trans regulatory element TF concentra6on TF can influence the target gene TF expression Gene Transcrip6onal Regulatory Network • Cis and trans regulatory elements form a complex transcrip.onal regulatory network – Each trans regulatory element (proteins/RNAs) can regulate mul.ple target genes – Cis regulatory modules (CRMs) • Mul.ple different regulators need to be recruited to ini.ate the transcrip.on of a gene • The DNA binding sites of those regulators are clustered in the regulatory region of a gene and form a CRM How Can We Learn Transcriponal Networks? • Leverage allele specific expressions – In diploid organisms, the transcript levels from the two copies of the genes may be different – RNA-seq can capture allele- specific transcript levels How Can We Learn Transcriponal Networks? • Leverage allele specific gene expressions – Teasing out cis/trans regulatory divergence between two species (WiZkopp et al. -
Hox Gene Variation and Evolution
news and views annually degasses about 1 gigatonne (109 not nitrate exhaustion. on the microbial algae. The growth perfor- tonnes) of CO2 (ref. 3), equivalent to 20 per Yet the paradox persists. Virtually all phy- mance of the diatoms is all the more surpris- cent of current anthropogenic output. The toplankton species, including the picoplank- ing as nitrate reduction requires energy regression lines and intercepts of dissolved ton, are able to use nitrate; indeed, phyto- and the mediating enzyme contains iron. inorganic carbon, silicate and nitrate con- plankton other than diatoms routinely Indeed, why diatoms can be so much more centrations, measured in the upper 200 m of exhaust nitrate in the surface waters of the efficient than the other algae despite the the EUZ, indicate that silicate availability non-HNLC ocean. So why does this not hap- nitrate handicap needs to be explained. regulates both carbon and nitrate uptake pen in the EUZ and other low-silicate HNLC Balancing pelagic ecosystem budgets is and fate. The slope of the highly significant regions? Differences in grazing pressure still an art because we know so little about the 5 regression between nitrate and silicate is 1, have been proposed as an explanation . One abilities and predilections of the organisms8 which coincides with the known require- widely held view is that the small algae of the and their interactions with one another5. ment of these two elements by diatoms. The microbial loop are kept in check by heavy Whatever the outcome of studies on the lim- intercept represents the excess nitrate (about grazing pressure, whereas diatoms, because iting factors in the various HNLC regions 4 mmol m–3) that confers HNLC status on of their larger size (and possibly also the pro- and their subsystems, the status of diatoms as the EUZ. -
A Computational Model Inspired by Gene Regulatory Networks
Rui Miguel Lourenço Lopes A Computational Model Inspired by Gene Regulatory Networks Doctoral thesis submitted to the Doctoral Program in Information Science and Technology, supervised by Full Professor Doutor Ernesto Jorge Fernandes Costa, and presented to the Department of Informatics Engineering of the Faculty of Sciences and Technology of the University of Coimbra. January 2015 A Computational Model Inspired by Gene Regulatory Networks A thesis submitted to the University of Coimbra in partial fulfillment of the requirements for the Doctoral Program in Information Science and Technology by Rui Miguel Lourenço Lopes [email protected] Department of Informatics Engineering Faculty of Sciences and Technology University of Coimbra Coimbra, January 2015 Financial support by Fundação para a Ciência e a Tecnologia, through the PhD grant SFRH/BD/69106/2010. A Computational Model Inspired by Gene Regulatory Networks ©2015 Rui L. Lopes ISBN 978-989-20-5460-5 Cover image: Composition of a Santa Fe trail program evolved by ReNCoDe overlaid on the ancestors, with a 3D model of the DNA crystal structure (by Paul Hakimata). This dissertation was prepared under the supervision of Ernesto J. F. Costa Full Professor of the Department of Informatics Engineering of the Faculty of Sciences and Tecnology of the University of Coimbra In loving memory of my father. Acknowledgements Thank you very much to Prof. Ernesto Costa, for his vision on research and education, for all the support and contributions to my ideas, and for the many life stories that always lighten the mood. Thank you also to Nuno Lourenço for the many discussions, shared books, and his constant helpfulness. -
Evolutionary Developmental Biology 573
EVOC20 29/08/2003 11:15 AM Page 572 Evolutionary 20 Developmental Biology volutionary developmental biology, now often known Eas “evo-devo,” is the study of the relation between evolution and development. The relation between evolution and development has been the subject of research for many years, and the chapter begins by looking at some classic ideas. However, the subject has been transformed in recent years as the genes that control development have begun to be identified. This chapter looks at how changes in these developmental genes, such as changes in their spatial or temporal expression in the embryo, are associated with changes in adult morphology. The origin of a set of genes controlling development may have opened up new and more flexible ways in which evolution could occur: life may have become more “evolvable.” EVOC20 29/08/2003 11:15 AM Page 573 CHAPTER 20 / Evolutionary Developmental Biology 573 20.1 Changes in development, and the genes controlling development, underlie morphological evolution Morphological structures, such as heads, legs, and tails, are produced in each individual organism by development. The organism begins life as a single cell. The organism grows by cell division, and the various cell types (bone cells, skin cells, and so on) are produced by differentiation within dividing cell lines. When one species evolves into Morphological evolution is driven another, with a changed morphological form, the developmental process must have by developmental evolution changed too. If the descendant species has longer legs, it is because the developmental process that produces legs has been accelerated, or extended over time. -
Drosophila Pax6 Promotes Development of the Entire Eye-Antennal Disc, Thereby Ensuring Proper Adult Head Formation
PAPER Drosophila Pax6 promotes development of the entire COLLOQUIUM eye-antennal disc, thereby ensuring proper adult head formation Jinjin Zhua, Sneha Palliyila, Chen Ranb, and Justin P. Kumara,1 aDepartment of Biology, Indiana University, Bloomington, IN 47405; and bDepartment of Biology, Stanford University, Stanford, CA 94305 Edited by Ellen V. Rothenberg, California Institute of Technology, Pasadena, CA, and accepted by Editorial Board Member Neil H. Shubin February 17, 2017 (received for review July 26, 2016) Paired box 6 (Pax6) is considered to be the master control gene for molecular battle among GRNs allows for the subdivision of the eye development in all seeing animals studied so far. In vertebrates, eye-antennal disc to be maintained within a single continuous it is required not only for lens/retina formation but also for the cellular field (13–16). Of the GRNs that are known to operate development of the CNS, olfactory system, and pancreas. Although within the eye-antennal disc, the retinal determination (RD) Pax6 plays important roles in cell differentiation, proliferation, and network, which controls eye development, is the best studied (17). patterning during the development of these systems, the underlying At the core of the RD network lie the Paired box 6 (Pax6) genes mechanism remains poorly understood. In the fruit fly, Drosophila eyeless (ey)andtwin of eyeless (toy), the SIX family member sine melanogaster, Pax6 also functions in a range of tissues, including oculis (so), the transcriptional coactivator eyes absent (eya), and the the eye and brain. In this report, we describe the function of Pax6 in Ski/Sno family member dachshund (dac)(17).