The Role of Developmental Bias In
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Cell Elongation Is Key to in Silico Replication of in Vitro Vasculogenesis and Subsequent Remodeling
Developmental Biology 289 (2006) 44 – 54 www.elsevier.com/locate/ydbio Cell elongation is key to in silico replication of in vitro vasculogenesis and subsequent remodeling Roeland M.H. Merks a,*, Sergey V. Brodsky b, Michael S. Goligorksy b, Stuart A. Newman c, James A. Glazier a a The Biocomplexity Institute, Department of Physics, Indiana University Bloomington, Swain Hall West, 727 E 3rd Street, Bloomington, IN 47405, USA b Renal Research Institute, New York Medical College, Valhalla, NY 10595, USA c Cell Biology and Anatomy, New York Medical College, Valhalla, NY 10595, USA Received for publication 1 April 2005, revised 28 September 2005, accepted 4 October 2005 Abstract Vasculogenesis, the de novo growth of the primary vascular network from initially dispersed endothelial cells, is the first step in the development of the circulatory system in vertebrates. In the first stages of vasculogenesis, endothelial cells elongate and form a network-like structure, called the primary capillary plexus, which subsequently remodels, with the size of the vacancies between ribbons of endothelial cells coarsening over time. To isolate such intrinsic morphogenetic ability of endothelial cells from its regulation by long-range guidance cues and additional cell types, we use an in vitro model of human umbilical vein endothelial cells (HUVEC) in Matrigel. This quasi-two-dimensional endothelial cell culture model would most closely correspond to vasculogenesis in flat areas of the embryo like the yolk sac. Several studies have used continuum mathematical models to explore in vitro vasculogenesis: such models describe cell ensembles but ignore the endothelial cells’ shapes and active surface fluctuations. -
From Developmental Constraint to Evolvability
From Developmental Constraint to Evolvability How Concepts Figure in Explanation and Disciplinary Identity Ingo Brigandt Department of Philosophy, University of Alberta 2-40 Assiniboia Hall, Edmonton, AB T6G2E7, Canada [email protected] Abstract The concept of developmental constraint was at the heart of develop- mental approaches to evolution of the 1980s. While this idea was widely used to criticize neo-Darwinian evolutionary theory, critique does not yield an alternative framework that offers evolutionary explanations. In current Evo-devo the concept of constraint is of minor importance, whereas notions as evolvability are at the center of attention. The latter clearly defines an explanatory agenda for evolution- ary research, so that one could view the historical shift from ‘developmental con- straint’ towards ‘evolvability’ as the move from a concept that is a mere tool of criticism to a concept that establishes a positive explanatory project. However, by taking a look at how the concept of constraint was employed in the 1980s, I argue that developmental constraint was not just seen as restricting possibilities (‘con- straining’), but also as facilitating morphological change in several ways. Ac- counting for macroevolutionary transformation and the origin of novel form was an aim of these developmental approaches to evolution. Thus, the concept of de- velopmental constraint was part of a positive explanatory agenda long before the advent of Evo-devo as a genuine scientific discipline. In the 1980s, despite the lack of a clear disciplinary identity, this concept coordinated research among pale- ontologists, morphologists, and developmentally inclined evolutionary biologists. I discuss the different functions that scientific concepts can have, highlighting that instead of classifying or explaining natural phenomena, concepts such as ‘devel- opmental constraint’ and ‘evolvability’ are more important in setting explanatory agendas so as to provide intellectual coherence to scientific approaches. -
Gene Expression and Phenotypic Traits Yuan-Chuan Chen
Chapter Introductory Chapter: Gene Expression and Phenotypic Traits Yuan-Chuan Chen 1. Gene expression Gene expression is a process by which the genetic information is used in the syn- thesis of functional products including proteins and functional RNAs (e.g., tRNA, small nuclear RNA, microRNA, small/short interfering RNA, etc.). The process of gene expression is applied by all organisms including eukaryotes, prokaryotes, and viruses to produce the macromolecular machinery for life. Through controlling the cell structure and function, the gene plays an important role in cellular dif- ferentiation, morphogenesis, adaptability, and diversity. Because the control of the timing, location, and levels of gene expression can have a significant effect on gene functions in a single cell or a multicellular organism, gene regulation may also drive evolutionary change. Several steps in the gene expression process can be regulated, such as transcription, posttranscriptional modification (e.g., RNA splicing, 3′ poly A adding, 5′-capping), translation, and posttranslational modification (e.g., protein splicing, folding, and processing). 1.1 Transcription The genomic DNA is composed of two antiparallel strands with 5′ and 3′ ends which are reverse and complementary for each. Regarding to a gene, the two DNA strands are classified as the “coding strand (sense strand),” which includes the DNA version of the RNA transcript sequence, and the “template strand (antisense strand, noncoding strand)” which serves as a blueprint for synthesizing an RNA strand. During transcription, the DNA template strand is read by an RNA polymerase to produce a complementary and antiparallel RNA primary transcript. Transcription is the first step of gene expression which involves copying a DNA sequence to make an RNA molecule including messenger RNA (mRNA), ribosome RNA (rRNA), and transfer RNA (tRNA) by the principle of complementary base pairing. -
Eco-Evolutionary Dynamics, Coding Structure and the Information Threshold Folkert K De Boer*, Paulien Hogeweg
de Boer and Hogeweg BMC Evolutionary Biology 2010, 10:361 http://www.biomedcentral.com/1471-2148/10/361 RESEARCH ARTICLE Open Access Eco-evolutionary dynamics, coding structure and the information threshold Folkert K de Boer*, Paulien Hogeweg Abstract Background: The amount of information that can be maintained in an evolutionary system of replicators is limited by genome length, the number of errors during replication (mutation rate) and various external factors that influence the selection pressure. To date, this phenomenon, known as the information threshold, has been studied (both genotypically and phenotypically) in a constant environment and with respect to maintenance (as opposed to accumulation) of information. Here we take a broader perspective on this problem by studying the accumulation of information in an ecosystem, given an evolvable coding structure. Moreover, our setup allows for individual based as well as ecosystem based solutions. That is, all functions can be performed by individual replicators, or complementing functions can be performed by different replicators. In this setup, where both the ecosystem and the individual genomes can evolve their structure, we study how populations cope with high mutation rates and accordingly how the information threshold might be alleviated. Results: We observe that the first response to increased mutation rates is a change in coding structure. At moderate mutation rates evolution leads to longer genomes with a higher diversity than at high mutation rates. Thus, counter-intuitively, at higher mutation rates diversity is reduced and the efficacy of the evolutionary process is decreased. Therefore, moderate mutation rates allow for more degrees of freedom in exploring genotype space during the evolutionary trajectory, facilitating the emergence of solutions. -
Why Call It Developmental Bias When It Is Just Development? Isaac Salazar-Ciudad1,2,3
Salazar-Ciudad Biology Direct (2021) 16:3 https://doi.org/10.1186/s13062-020-00289-w OPINION Open Access Why call it developmental bias when it is just development? Isaac Salazar-Ciudad1,2,3 Abstract The concept of developmental constraints has been central to understand the role of development in morphological evolution. Developmental constraints are classically defined as biases imposed by development on the distribution of morphological variation. This opinion article argues that the concepts of developmental constraints and developmental biases do not accurately represent the role of development in evolution. The concept of developmental constraints was coined to oppose the view that natural selection is all-capable and to highlight the importance of development for understanding evolution. In the modern synthesis, natural selection was seen as the main factor determining the direction of morphological evolution. For that to be the case, morphological variation needs to be isotropic (i.e. equally possible in all directions). The proponents of the developmental constraint concept argued that development makes that some morphological variation is more likely than other (i.e. variation is not isotropic), and that, thus, development constraints evolution by precluding natural selection from being all-capable. This article adds to the idea that development is not compatible with the isotropic expectation by arguing that, in fact, it could not be otherwise: there is no actual reason to expect that development could lead to isotropic morphological variation. It is then argued that, since the isotropic expectation is untenable, the role of development in evolution should not be understood as a departure from such an expectation. -
Mapping of the Waxy Bloom Gene in 'Black Jewel'
agronomy Article Mapping of the Waxy Bloom Gene in ‘Black Jewel’ in a Parental Linkage Map of ‘Black Jewel’ × ‘Glen Ample’ (Rubus) Interspecific Population Dora Pinczinger 1, Marcel von Reth 1, Jens Keilwagen 2 , Thomas Berner 2, Andreas Peil 1, Henryk Flachowsky 1 and Ofere Francis Emeriewen 1,* 1 Julius Kühn-Institut (JKI)—Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Pillnitzer Platz 3a, 01326 Dresden, Germany; [email protected] (D.P.); [email protected] (M.v.R.); [email protected] (A.P.); henryk.fl[email protected] (H.F.) 2 Julius Kühn-Institut (JKI)—Federal Research Centre for Cultivated Plants, Institute for Biosafety in Plant Biotechnology, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany; [email protected] (J.K.); [email protected] (T.B.) * Correspondence: [email protected] Received: 16 September 2020; Accepted: 12 October 2020; Published: 16 October 2020 Abstract: Black and red raspberries (Rubus occidentalis L. and Rubus idaeus L.) are the prominent members of the genus Rubus (Rosaceae family). Breeding programs coupled with the low costs of high-throughput sequencing have led to a reservoir of data that have improved our understanding of various characteristics of Rubus and facilitated the mapping of different traits. Gene B controls the waxy bloom, a clearly visible epicuticular wax on canes. The potential effects of this trait on resistance/susceptibility to cane diseases in conjunction with other morphological factors are not fully studied. Previous studies suggested that gene H, which controls cane pubescence, is closely associated with gene B. -
09-11-20 Introduction: Models And
COURSE COMPUTATIONAL BIOLOGY 2020-2021 http://www-binf.bio.uu.nl/BINF TEAMS: Computational Biology 2020-2021 Paulien Hogeweg with Dieter Stoker and Oane Gros Theoretical Biology and Bioinformatics Group UU Aims • HOW TO use modeling to gain insights in biotic systems • Biological insights(theory) obtained through modeling Lectures (Tuesday, Thursday mornings (10.00-12.24) O622 and Teams) Tutorials (Tuesday, Thursday afternoons, (13.15-17.00) Teams) Review tutorials (Monday afternoons (13.15-15.00) O622 ans Teams) Background Litterature (Monday and ..) Mini-project (model study, report (incl litt)(Dec/Jan 2020/21) Litterature Seminar (Jan 2021) 2 Preliminaries..... - || \De leerdoelen van de cursus" Basic modeling skills understanding modeling results: insights and limitations ability to read/understand present day modeling litterture Knowledge of Biological Theory - || Plaats in het curriculum (studiepaden bijvoorbeeld) Core course Computational Biology (Bsc & Msc) - || De manier van beoordeling Written Exam - || Aanwezigheids- en inspanningseisen written report on computational project litterature seminar No mandatory presence requirements BUT.... 3 Computational Biology counterintuitive - BUT through computational modeling potentially comprehensible 4 5 Computational Biology for Studying of informatic processes in biotic systems (Bioinformatics (Hesper & Hogeweg 1970)) Biotic system are multilevel systems: study them as such. information transmision, transformation between levels and over multiple timescales Given known (or assumed) -
Heritability, Selection, and the Response to Selection in the Presence of Phenotypic Measurement Error: Effects, Cures, and the Role of Repeated Measurements
bioRxiv preprint doi: https://doi.org/10.1101/247189; this version posted January 12, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Heritability, selection, and the response to selection in the presence of phenotypic measurement error: effects, cures, and the role of repeated measurements Erica Ponzi1;2, Lukas F. Keller1;3, Timoth´ee Bonnet1;4, Stefanie Muff1;2;? Running title: Phenotypic measurement error { effects and cures 1 Institute of Evolutionary Biology and Environmental Studies, University of Zurich,¨ Winterthurerstrasse 190, 8057 Zurich,¨ Switzerland 2 Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich,¨ Hirschengraben 84, 8001 Zurich,¨ Switzerland 3 Zoological Museum, University of Zurich,¨ Karl-Schmid-Strasse 4, 8006 Zurich,¨ Switzerland 4 Division of Ecology and Evolution, Research School of Biology,The Australian Na- tional University, Acton, Canberra, ACT 2601,Australia ? Corresponding author. E-mail: stefanie.muff@uzh.ch 1 bioRxiv preprint doi: https://doi.org/10.1101/247189; this version posted January 12, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Quantitative genetic analyses require extensive measurements of phe- notypic traits, which may be especially challenging to obtain in wild populations. On top of operational measurement challenges, some traits undergo transient fluctuations that might be irrelevant for selection pro- cesses. -
Getting to Evo-Devo: Concepts and Challenges for Students Learning Evolutionary Developmental Biology Anna Hiatt
Bryn Mawr College Scholarship, Research, and Creative Work at Bryn Mawr College Biology Faculty Research and Scholarship Biology 2013 Getting to Evo-Devo: Concepts and Challenges for Students Learning Evolutionary Developmental Biology Anna Hiatt Gregory K. Davis Bryn Mawr College, [email protected] Caleb Trujillo Mark Terry Donald P. French See next page for additional authors Let us know how access to this document benefits ouy . Follow this and additional works at: http://repository.brynmawr.edu/bio_pubs Part of the Biology Commons Custom Citation Hiatt A, Davis GK, Trujillo C, Terry M, French DP, Price RM and Perez KE . "Getting to evo-devo: concepts and challenges for students learning evolutionary developmental biology". CBE-Life Sciences Education 12 (2013): 494-508. This paper is posted at Scholarship, Research, and Creative Work at Bryn Mawr College. http://repository.brynmawr.edu/bio_pubs/10 For more information, please contact [email protected]. Authors Anna Hiatt, Gregory K. Davis, Caleb Trujillo, Mark Terry, Donald P. French, Rebecca M. Price, and Kathryn E. Perez This article is available at Scholarship, Research, and Creative Work at Bryn Mawr College: http://repository.brynmawr.edu/ bio_pubs/10 CBE—Life Sciences Education Vol. 12, 494–508, Fall 2013 Article Getting to Evo-Devo: Concepts and Challenges for Students Learning Evolutionary Developmental Biology Anna Hiatt,*† Gregory K. Davis,‡ Caleb Trujillo,§ Mark Terry, Donald P. French,* Rebecca M. Price,¶ and Kathryn E. Perez** *Department of Zoology, Oklahoma -
Modular Organization of Cis-Regulatory Control Information of Neurotransmitter Pathway Genes in Caenorhabditis Elegans
HIGHLIGHTED ARTICLE | INVESTIGATION Modular Organization of Cis-regulatory Control Information of Neurotransmitter Pathway Genes in Caenorhabditis elegans Esther Serrano-Saiz,*,†,1 Burcu Gulez,* Laura Pereira,*,‡ Marie Gendrel,*,§ Sze Yen Kerk,* Berta Vidal,* Weidong Feng,** Chen Wang,* Paschalis Kratsios,** James B. Rand,†† and Oliver Hobert*,1 *Department of Biological Sciences, Columbia University, Howard Hughes Medical Institute, New York, New York 10027, †Centro de Biologia Molecular Severo Ochoa/Consejo Superior de Investigaciones Científicas (CSIC), Madrid 28049, Spain, ‡New York Genome Center, New York 10013 §Institut de Biologie de l’Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres Research University, Paris 75005, France, **Department of Neurobiology, University of Chicago, Illinois 60637, and ††Oklahoma Medical Research Foundation, Oklahoma 73104 ORCID IDs: 0000-0003-0077-878X (E.S.-S.); 0000-0002-0991-0479 (M.G.); 0000-0002-3363-139X (C.W.); 0000-0002-1363-9271 (P.K.); 0000-0002-7634-2854 (O.H.) ABSTRACT We explore here the cis-regulatory logic that dictates gene expression in specific cell types in the nervous system. We focus on a set of eight genes involved in the synthesis, transport, and breakdown of three neurotransmitter systems: acetylcholine (unc-17/ VAChT, cha-1/ChAT, cho-1/ChT, and ace-2/AChE), glutamate (eat-4/VGluT), and g-aminobutyric acid (unc-25/GAD, unc-46/LAMP, and unc-47/VGAT). These genes are specifically expressed in defined subsets of cells in the nervous system. Through transgenic reporter gene assays, we find that the cellular specificity of expression of all of these genes is controlled in a modular manner through distinct cis-regulatory elements, corroborating the previously inferred piecemeal nature of specification of neurotransmitter identity. -
Mining Bacterial Species Records for Phenotypic Trait Information
RESEARCH ARTICLE Ecological and Evolutionary Science crossm Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information Albert Barberán,a Hildamarie Caceres Velazquez,b Stuart Jones,b Noah Fiererc,d Department of Soil, Water, and Environmental Science, University of Arizona, Tucson, Arizona, USAa; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USAb; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USAc; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USAd ABSTRACT Cultivation in the laboratory is essential for understanding the pheno- typic characteristics and environmental preferences of bacteria. However, basic phe- Received 23 May 2017 Accepted 17 July notypic information is not readily accessible. Here, we compiled phenotypic and en- 2017 Published 2 August 2017 Ͼ Citation Barberán A, Caceres Velazquez H, vironmental tolerance information for 5,000 bacterial strains described in the Jones S, Fierer N. 2017. Hiding in plain sight: International Journal of Systematic and Evolutionary Microbiology (IJSEM) with all in- mining bacterial species records for formation made publicly available in an updatable database. Although the data span phenotypic trait information. mSphere 2: e00237-17. https://doi.org/10.1128/mSphere 23 different bacterial phyla, most entries described aerobic, mesophilic, neutrophilic .00237-17. strains from Proteobacteria (mainly Alpha- and Gammaproteobacteria), Actinobacteria, Editor Steven J. Hallam, University of British Firmicutes, and Bacteroidetes isolated from soils, marine habitats, and plants. Most of Columbia the routinely measured traits tended to show a significant phylogenetic signal, al- Copyright © 2017 Barberán et al. This is an though this signal was weak for environmental preferences. -
Evolution & Development
DOI: 10.1111/ede.12315 RESEARCH Developmental structuring of phenotypic variation: A case study with a cellular automata model of ontogeny Wim Hordijk1 | Lee Altenberg2 1Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Abstract Austria Developmental mechanisms not only produce an organismal phenotype, but 2University of Hawai‘iatMānoa, they also structure the way genetic variation maps to phenotypic variation. ‘ Honolulu, Hawai i Here, we revisit a computational model for the evolution of ontogeny based on Correspondence cellular automata, in which evolution regularly discovered two alternative Wim Hordijk, Konrad Lorenz Institute for mechanisms for achieving a selected phenotype, one showing high modularity, Evolution and Cognition Research, the other showing morphological integration. We measure a primary variational Martinstrasse 12, 3400 Klosterneuburg, Austria. property of the systems, their distribution of fitness effects of mutation. We find Email: [email protected] that the modular ontogeny shows the evolution of mutational robustness and ontogenic simplification, while the integrated ontogeny does not. We discuss the wider use of this methodology on other computational models of development as well as real organisms. 1 | INTRODUCTION summarize, “almost anything can be changed if it shows phenotypic variation” and “combinations of traits, even The idea that phenotypic variation could ever be those unfavorably correlated, can be changed”). Once the “unbiased” is a historical artifact coming from two main premises of this “pan‐variationism” are accepted, pans- sources: First were the early characterizations of quanti- electionism is the natural conclusion—in other words, if tative genetic variation for single traits or small numbers variation is diffusing in every phenotypic direction, the of traits.