Long-Term Gene–Culture Coevolution and the Human Evolutionary Transition
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Framing Major Prebiotic Transitions As Stages of Protocell Development: Three Challenges for Origins-Of-Life Research
Framing major prebiotic transitions as stages of protocell development: three challenges for origins-of-life research Ben Shirt-Ediss1, Sara Murillo-Sánchez2,3 and Kepa Ruiz-Mirazo*2,3 Commentary Open Access Address: Beilstein J. Org. Chem. 2017, 13, 1388–1395. 1Interdisciplinary Computing and Complex BioSystems Group, doi:10.3762/bjoc.13.135 University of Newcastle, UK, 2Dept. Logic and Philosophy of Science, University of the Basque Country, Spain and 3Biofisika Institute Received: 16 February 2017 (CSIC, UPV-EHU), Spain Accepted: 27 June 2017 Published: 13 July 2017 Email: Kepa Ruiz-Mirazo* - [email protected] This article is part of the Thematic Series "From prebiotic chemistry to molecular evolution". * Corresponding author Guest Editor: L. Cronin Keywords: functional integration; origins of life; prebiotic evolution; protocells © 2017 Shirt-Ediss et al.; licensee Beilstein-Institut. License and terms: see end of document. Abstract Conceiving the process of biogenesis as the evolutionary development of highly dynamic and integrated protocell populations provides the most appropriate framework to address the difficult problem of how prebiotic chemistry bridged the gap to full-fledged living organisms on the early Earth. In this contribution we briefly discuss the implications of taking dynamic, functionally inte- grated protocell systems (rather than complex reaction networks in bulk solution, sets of artificially evolvable replicating molecules, or even these same replicating molecules encapsulated in passive compartments) -
Effect of Irradiation of the PEM of 1.531211SMJ29 Jeewanu with Clinical Mercury Lamp and Sunlight on the Morphological Features of the Silicon Molybdenum Jeewanu
International Journal of Engineering Research and General Science Volume 4, Issue 4, July-August, 2016 ISSN 2091-2730 Effect of Irradiation of the PEM of 1.531211SMJ29 Jeewanu with Clinical Mercury Lamp and Sunlight on the Morphological Features of the Silicon Molybdenum Jeewanu Deepa Srivastava Department of Chemistry, S.S.Khanna Girls‘ Degree College, Constituent College of Allahabad University, Allahabad, Uttar Pradesh, India E- Mail – [email protected] Abstract— Sterilized aqueous mixture of ammonium molybdate, diammonium hydrogen phosphate, mineral solution and formaldehyde on exposure to sunlight results in the formation of self-sustaining coacervates which were coined as Jeewanu, the autopoetic eukaryote by Bahadur and Ranganayaki. Jeewanu have been analyzed to contain a number of compounds of biological interest. The presence of various enzyme like activities viz., phosphatase, ATP-ase, esterase, nitrogenase have been also been detected in Jeewanu mixture. Gáinti (2003) discussed that Jeewanu possesses a promising configuration similar to protocell-like model. Keywords— Autopoetic, eukaryote, Jeewanu, PEM, sunlight, mercury lamp, morphology, 1.531211SMJ29 INTRODUCTION Sterilized aqueous mixture of ammonium molybdate, diammonium hydrogen phosphate, mineral solution and formaldehyde on exposure to sunlight results in the formation of self-sustaining coacervates which were coined as Jeewanu, the autopoetic eukaryote by Bahadur, K and Ranganayaki, S. in 1970. [1] The photochemical, formation of protocell-like microstructures ―Jeewanu‖ in a laboratory simulated prebiotic atmosphere capable of showing multiplication by budding, growth from within by actual synthesis of material and various metabolic activities has been reported by Bahadur et al. [1, 2, 3, 4, 5, 7, 8] Jeewanu have been analyzed to contain a number of compounds of biological interest viz. -
Evolution Ofsenescence Under Positive Pleiotropy?
Why organisms age: Evolution ofsenescence under positive pleiotropy? Alexei A. Maklako, Locke Rowe and Urban Friberg Linköping University Post Print N.B.: When citing this work, cite the original article. Original Publication: Alexei A. Maklako, Locke Rowe and Urban Friberg, Why organisms age: Evolution ofsenescence under positive pleiotropy?, 2015, Bioessays, (37), 7, 802-807. http://dx.doi.org/10.1002/bies.201500025 Copyright: Wiley-VCH Verlag http://www.wiley-vch.de/publish/en/ Postprint available at: Linköping University Electronic Press http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117545 1 Why organisms age: Evolution of senescence under positive pleiotropy? Alexei A. Maklakov1, Locke Rowe2 and Urban Friberg3,4 1Ageing Research Group, Department of Animal Ecology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden 2 Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON, M5S 3G5, Canada 3Ageing Research Group, Department of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden 4IFM Biology, AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden Corresponding author: Maklakov, A.A. ([email protected]) Keywords: Aging, life-history evolution, mutation accumulation, positive pleiotropy senescence 2 Abstract Two classic theories maintain that aging evolves either because of alleles whose deleterious effects are confined to late life or because of alleles with broad pleiotropic effects that increase early-life fitness at the expense of late-life fitness. However, empirical studies often reveal positive pleiotropy for fitness across age classes, and recent evidence suggests that selection on early-life fitness can decelerate aging and increase lifespan, thereby casting doubt on the current consensus. -
3 Further Challenges
3 Further Challenges Hamilton’s claim of the inevitability of senescence can be disproved even within his own framework. Furthermore, his framework has sev- eral limitations. In this chapter theoretical and empirical issues that weaken his approach as the main explanation for the evolution of senes- cence will be discussed. Building on Medawar [126] and Williams [212], Hamilton wrote the pioneering first chapter on the moulding of senes- cence. I draw two main conclusions. • First, Hamilton’s basic notion – that the age-pattern of mortality is an inverse function of the age-pattern of his indicator – is wrong. For both his indicator and the other indicators in Table 2.1 the relationship between the indicator and mortality is so complicated that sophisticated modeling is required. • Second, several theoretical arguments as well as the bulk of em- pirical findings suggest that mutation accumulation is of secondary importance in molding the age-trajectories of mortality across the varied species of life. The primary force appears to be adaptation, i.e. the concept that patterns of aging are a byproduct of optimiza- tion of trade-offs. Hence, deep understanding of the evolution of aging requires optimization modeling. 3.1 General Problem with All Indicators Because his indicator declines with age, Hamilton deduced that mor- tality must increase with age. The relationship between his indicator of selection pressure and the age-pattern of mortality is not a simple one, however. During development his indicator is constant, while mortality, 36 3 Further Challenges for many and perhaps all species, is falling. At post-reproductive ages his indicator is zero, while mortality, at least in humans, rises and then slowly levels off. -
Constructing Protocells: a Second Origin of Life
04_SteenRASMUSSEN.qxd:Maqueta.qxd 4/6/12 11:45 Página 585 Session I: The Physical Mind CONSTRUCTING PROTOCELLS: A SECOND ORIGIN OF LIFE STEEN RASMUSSEN Center for Fundamental Living Technology (FLinT) Santa Fe Institute, New Mexico USA ANDERS ALBERTSEN, PERNILLE LYKKE PEDERSEN, CARSTEN SVANEBORG Center for Fundamental Living Technology (FLinT) ABSTRACT: What is life? How does nonliving materials become alive? How did the first living cells emerge on Earth? How can artificial living processes be useful for technology? These are the kinds of questions we seek to address by assembling minimal living systems from scratch. INTRODUCTION To create living materials from nonliving materials, we first need to understand what life is. Today life is believed to be a physical process, where the properties of life emerge from the dynamics of material interactions. This has not always been the assumption, as living matter at least since the origin of Hindu medicine some 5000 years ago, was believed to have a metaphysical vital force. Von Neumann, the inventor of the modern computer, realized that if life is a physical process it should be possible to implement life in other media than biochemistry. In the 1950s, he was one of the first to propose the possibilities of implementing living processes in computers and robots. This perspective, while being controversial, is gaining momentum in many scientific communities. There is not a generally agreed upon definition of life within the scientific community, as there is a grey zone of interesting processes between nonliving and living matter. Our work on assembling minimal physicochemical life is based on three criteria, which most biological life forms satisfy. -
Evolutionary Genetics
Evolutionary Genetics Ruben C. Arslan & Lars Penke Institute of Psychology Georg August University Göttingen Forthcoming in D. M. Buss (Ed.), Handbook of Evolutionary Psychology (2nd ed.). New York: Wiley. September 17, 2014 Corresponding author: Ruben C. Arslan Georg August University Göttingen Biological Personality Psychology and Psychological Assessment Georg Elias Müller Institute of Psychology Goßlerstr. 14 37073 Göttingen, Germany Tel.: +49 551 3920704 Email: [email protected] 1 Introduction When Charles Darwin developed the theory of evolution, he knew nothing about genetics. Hence, one of its biggest weaknesses was that Darwin had to base it on crude ideas of inheritance. Around the same time, Gregor Mendel discovered the laws of inheritance, but the scientific community initially failed to appreciate his work’s importance. It was only in the 1930’s that Dobzhansky, Fisher, Haldane, Wright, Mayr and others unified genetics and the theory of evolution in the ‘modern synthesis’. Still, the modern synthesis was built on a basic understanding of genetics, with genes merely being particulate inherited information. The basics of molecular genetics, like the structure of DNA, were not discovered until the 1950’s. When modern evolutionary psychology emerged from ethology and sociobiology in the late 1980’s, it had a strong emphasis on human universals, borne from both the assumption that complex adaptations are monomorphic (or sexually dimorphic) and have to go back to at least the last common ancestor of all humans, and the methodological proximity to experimental cognitive psychology, which tends to treat individual differences as statistical noise. As a consequence, genetic differences between people were marginalized in evolutionary psychology (Tooby & Cosmides, 1990). -
Review Questions Meiosis
Review Questions Meiosis 1. Asexual reproduction versus sexual reproduction: which is better? Asexual reproduction is much more efficient than sexual reproduction in a number of ways. An organism doesn’t have to find a mate. An organism donates 100% of its’ genetic material to its offspring (with sex, only 50% end up in the offspring). All members of a population can produce offspring, not just females, enabling asexual organisms to out-reproduce sexual rivals. 2. So why is there sex? Why are there boys? If females can reproduce easier and more efficiently asexually, then why bother with males? Sex is good for evolution because it creates genetic variety. All organisms depend on mutations for genetic variation. Sex takes these preexisting traits (created by mutations) and shuffles them into new combinations (genetic recombination). For example, if we wanted a rice plant that was fast-growing but also had a high yield, we would have to wait a long time for a fast-growing rice to undergo a mutation that would also make it highly productive. An easy way to combine these two desirable traits is through sexually reproduction. By breeding a fast-growing variety with a high-yielding variety, we can create offspring with both traits. In an asexual organism, all the offspring are genetically identical to the parent (unless there was a mutation) and genetically identically to each other. Sexual reproduction creates offspring that are genetically different from the parents and genetically different from their siblings. In a stable environment, asexual reproduction may work just fine. However, most ecosystems are dynamic places. -
Methods Used in Medical and Population Genetics
AT-A-GLANCE Methods Used in Medical and Population Genetics Over a decade ago, scientists completed the sequenc- stand the functional effects of those genetic varia- ing of the human genome and laid out a “parts list” tions, especially with regard to human illness. for life. This Herculean task was a huge advance Historically, it has been difficult to pinpoint the genes toward transforming medicine through genomic that underlie common diseases because the impact of insight, but the effort didn’t reveal the role of each of each DNA variant is often quite small. To bring these those parts in human health and disease. By studying subtle disease risk factors to light, scientists conduct natural genetic variation among people, whether in a “association studies” on a great number of people, to small family or a large, diverse population, researchers identify variants that are found more often in people today can gain insight into the function of genes and with a trait or disease than those without. This genetic variation in human biology, illuminate the approach requires powerful analytical and statistical genetic roots of disease, and potentially discover new methods, many developed at the Broad Institute and therapeutic avenues. shared openly with researchers around the world. Scientists in the Broad Institute of MIT and Harvard’s However, correlation — in the form of association Program in Medical and Population Genetics primarily — does not equal causation. After identifying the DNA study common, complex diseases for which many changes associated with a trait, scientists can then genes contribute to risk of an individual getting the develop and apply phenotypic assays, or experimental disease, such as type 2 diabetes, heart disease, and measurements, often in large-scale screening studies, inflammatory bowel disease. -
Genetic Variation in Subdivided Populations and Conservation Genetics
Heredity 57 (1986) 189—198 The Genetical Society of Great Britain Received 19 November 1985 Geneticvariation in subdivided populations and conservation genetics Sirkka-Liisa Varvio*, University of Texas Health Science Center at Ranajit Chakraborty and Masatoshi Nei Houston, Center for Demographic and Population Genetics, P.O. Box 20334, Houston, Texas 77225 The genetic differentiation of populations is usually studied by using the equilibrium theory of Wright's infinite island model. In practice, however, populations are not always in equilibrium, and the number of subpopulations is often very small. To get some insight into the dynamics of genetic differentiation of these populations, numerical computations are conducted about the expected gene diversities within and between subpopulations by using the finite island model. It is shown that the equilibrium values of gene diversities (H and H) and the coefficient of genetic differentiation (G) depend on the pattern of population subdivision as well as on migration and that the GST value is always smaller than that for the infinite island model. When the number of migrants per subpopulation per generation is greater than 1, the equilibrium values of H and HT are close to those for panmictic populations, as noted by previous authors. However, the values of H, HT, and GST in transient populations depend on the pattern of population subdivision, and it may take a long time for them to reach the 95 per cent range of the equilibrium values. The implications of the results obtained for the conservation of genetic variability in small populations are discussed. It is argued that any single principle should not be imposed as a general guideline for the management of small populations. -
Enforcement Is Central to the Evolution of Cooperation
REVIEW ARTICLE https://doi.org/10.1038/s41559-019-0907-1 Enforcement is central to the evolution of cooperation J. Arvid Ågren1,2,6, Nicholas G. Davies 3,6 and Kevin R. Foster 4,5* Cooperation occurs at all levels of life, from genomes, complex cells and multicellular organisms to societies and mutualisms between species. A major question for evolutionary biology is what these diverse systems have in common. Here, we review the full breadth of cooperative systems and find that they frequently rely on enforcement mechanisms that suppress selfish behaviour. We discuss many examples, including the suppression of transposable elements, uniparental inheritance of mito- chondria and plastids, anti-cancer mechanisms, reciprocation and punishment in humans and other vertebrates, policing in eusocial insects and partner choice in mutualisms between species. To address a lack of accompanying theory, we develop a series of evolutionary models that show that the enforcement of cooperation is widely predicted. We argue that enforcement is an underappreciated, and often critical, ingredient for cooperation across all scales of biological organization. he evolution of cooperation is central to all living systems. A major open question, then, is what, if anything, unites the Evolutionary history can be defined by a series of major tran- evolution of cooperative systems? Here, we review cooperative evo- Tsitions (Box 1) in which replicating units came together, lost lution across all levels of biological organization, which reveals a their independence and formed new levels of biological organiza- growing amount of evidence for the importance of enforcement. tion1–4. As a consequence, life is organized in a hierarchy of coop- By enforcement, we mean an action that evolves, at least in part, to eration: genes work together in genomes, genomes in cells, cells in reduce selfish behaviour within a cooperative alliance (see Box 2 for multicellular organisms and multicellular organisms in eusocial the formal definition). -
Latin Derivatives Dictionary
Dedication: 3/15/05 I dedicate this collection to my friends Orville and Evelyn Brynelson and my parents George and Marion Greenwald. I especially thank James Steckel, Barbara Zbikowski, Gustavo Betancourt, and Joshua Ellis, colleagues and computer experts extraordinaire, for their invaluable assistance. Kathy Hart, MUHS librarian, was most helpful in suggesting sources. I further thank Gaylan DuBose, Ed Long, Hugh Himwich, Susan Schearer, Gardy Warren, and Kaye Warren for their encouragement and advice. My former students and now Classics professors Daniel Curley and Anthony Hollingsworth also deserve mention for their advice, assistance, and friendship. My student Michael Kocorowski encouraged and provoked me into beginning this dictionary. Certamen players Michael Fleisch, James Ruel, Jeff Tudor, and Ryan Thom were inspirations. Sue Smith provided advice. James Radtke, James Beaudoin, Richard Hallberg, Sylvester Kreilein, and James Wilkinson assisted with words from modern foreign languages. Without the advice of these and many others this dictionary could not have been compiled. Lastly I thank all my colleagues and students at Marquette University High School who have made my teaching career a joy. Basic sources: American College Dictionary (ACD) American Heritage Dictionary of the English Language (AHD) Oxford Dictionary of English Etymology (ODEE) Oxford English Dictionary (OCD) Webster’s International Dictionary (eds. 2, 3) (W2, W3) Liddell and Scott (LS) Lewis and Short (LS) Oxford Latin Dictionary (OLD) Schaffer: Greek Derivative Dictionary, Latin Derivative Dictionary In addition many other sources were consulted; numerous etymology texts and readers were helpful. Zeno’s Word Frequency guide assisted in determining the relative importance of words. However, all judgments (and errors) are finally mine. -
How Important Are Structural Variants for Speciation?
G C A T T A C G G C A T genes Review How Important Are Structural Variants for Speciation? Linyi Zhang 1,*, Radka Reifová 2, Zuzana Halenková 2 and Zachariah Gompert 1 1 Department of Biology, Utah State University, Logan, UT 84322, USA; [email protected] 2 Department of Zoology, Faculty of Science, Charles University, 12800 Prague, Czech Republic; [email protected] (R.R.); [email protected] (Z.H.) * Correspondence: [email protected] Abstract: Understanding the genetic basis of reproductive isolation is a central issue in the study of speciation. Structural variants (SVs); that is, structural changes in DNA, including inversions, translocations, insertions, deletions, and duplications, are common in a broad range of organisms and have been hypothesized to play a central role in speciation. Recent advances in molecular and statistical methods have identified structural variants, especially inversions, underlying ecologically important traits; thus, suggesting these mutations contribute to adaptation. However, the contribu- tion of structural variants to reproductive isolation between species—and the underlying mechanism by which structural variants most often contribute to speciation—remain unclear. Here, we review (i) different mechanisms by which structural variants can generate or maintain reproductive isolation; (ii) patterns expected with these different mechanisms; and (iii) relevant empirical examples of each. We also summarize the available sequencing and bioinformatic methods to detect structural variants. Lastly, we suggest empirical approaches and new research directions to help obtain a more complete assessment of the role of structural variants in speciation. Citation: Zhang, L.; Reifová, R.; Keywords: reproductive isolation; hybridization; suppressed recombination Halenková, Z.; Gompert, Z.