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Ajay A, Begum T, Arya A, Kumar K, Ahmad S. Global and local genomic features together modulate the spontaneous single nucleotide mutation rate. Comput Biol Chem 2024; 112:108107. [PMID: 38875896 DOI: 10.1016/j.compbiolchem.2024.108107] [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: 08/10/2023] [Revised: 04/23/2024] [Accepted: 05/17/2024] [Indexed: 06/16/2024]
Abstract
Spontaneous mutations are evolutionary engines as they generate variants for the evolutionary downstream processes that give rise to speciation and adaptation. Single nucleotide mutations (SNM) are the most abundant type of mutations among them. Here, we perform a meta-analysis to quantify the influence of selected global genomic parameters (genome size, genomic GC content, genomic repeat fraction, number of coding genes, gene count, and strand bias in prokaryotes) and local genomic features (local GC content, repeat content, CpG content and the number of SNM at CpG islands) on spontaneous SNM rates across the tree of life (prokaryotes, unicellular eukaryotes, multicellular eukaryotes) using wild-type sequence data in two different taxon classification systems. We find that the spontaneous SNM rates in our data are correlated with many genomic features in prokaryotes and unicellular eukaryotes irrespective of their sample sizes. On the other hand, only the number of coding genes was correlated with the spontaneous SNM rates in multicellular eukaryotes primarily contributed by vertebrates data. Considering local features, we notice that local GC content and CpG content significantly were correlated with the spontaneous SNM rates in the unicellular eukaryotes, while local repeat fraction is an important feature in prokaryotes and certain specific uni- and multi-cellular eukaryotes. Such predictive features of the spontaneous SNM rates often support non-linear models as the best fit compared to the linear model. We also observe that the strand asymmetry in prokaryotes plays an important role in determining the spontaneous SNM rates but the SNM spectrum does not.
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Affiliation(s)
- Akash Ajay
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India
| | - Tina Begum
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India.
| | - Ajay Arya
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India
| | - Krishan Kumar
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India
| | - Shandar Ahmad
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India.
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Bureš P, Elliott TL, Veselý P, Šmarda P, Forest F, Leitch IJ, Nic Lughadha E, Soto Gomez M, Pironon S, Brown MJM, Šmerda J, Zedek F. The global distribution of angiosperm genome size is shaped by climate. THE NEW PHYTOLOGIST 2024; 242:744-759. [PMID: 38264772 DOI: 10.1111/nph.19544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/03/2024] [Indexed: 01/25/2024]
Abstract
Angiosperms, which inhabit diverse environments across all continents, exhibit significant variation in genome sizes, making them an excellent model system for examining hypotheses about the global distribution of genome size. These include the previously proposed large genome constraint, mutational hazard, polyploidy-mediated, and climate-mediated hypotheses. We compiled the largest genome size dataset to date, encompassing 16 017 (> 5% of known) angiosperm species, and analyzed genome size distribution using a comprehensive geographic distribution dataset for all angiosperms. We observed that angiosperms with large range sizes generally had small genomes, supporting the large genome constraint hypothesis. Climate was shown to exert a strong influence on genome size distribution along the global latitudinal gradient, while the frequency of polyploidy and the type of growth form had negligible effects. In contrast to the unimodal patterns along the global latitudinal gradient shown by plant size traits and polyploid proportions, the increase in angiosperm genome size from the equator to 40-50°N/S is probably mediated by different (mostly climatic) mechanisms than the decrease in genome sizes observed from 40 to 50°N northward. Our analysis suggests that the global distribution of genome sizes in angiosperms is mainly shaped by climatically mediated purifying selection, genetic drift, relaxed selection, and environmental filtering.
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Affiliation(s)
- Petr Bureš
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
| | - Tammy L Elliott
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
- Department of Biological Sciences, University of Cape Town, Cape Town, 7700, South Africa
| | - Pavel Veselý
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
| | - Petr Šmarda
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
| | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, TW9 3AE, UK
| | | | | | | | - Samuel Pironon
- Royal Botanic Gardens, Kew, Richmond, TW9 3AE, UK
- UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), Cambridge, CB3 0DL, UK
| | | | - Jakub Šmerda
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
| | - František Zedek
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic
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Fromm B, Sorger T. Rapid adaptation of cellular metabolic rate to the MicroRNA complements of mammals and its relevance to the evolution of endothermy. iScience 2024; 27:108740. [PMID: 38327773 PMCID: PMC10847693 DOI: 10.1016/j.isci.2023.108740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 09/13/2023] [Accepted: 12/12/2023] [Indexed: 02/09/2024] Open
Abstract
The metabolic efficiency of mammalian cells depends on the attenuation of intrinsic translation noise by microRNAs. We devised a metric of cellular metabolic rate (cMR), rMR/Mexp optimally fit to the number of microRNA families (mirFam), that is robust to variation in mass and sensitive to body temperature (Tb), consistent with the heat dissipation limit theory of Speakman and Król (2010). Using mirFam as predictor, an Ornstein-Uhlenbeck process of stabilizing selection, with an adaptive shift at the divergence of Boreoeutheria, accounted for 95% of the variation in cMR across mammals. Branchwise rates of evolution of cMR, mirFam and Tb concurrently increased 6- to 7-fold at the divergence of Boreoeutheria, independent of mass. Cellular MR variation across placental mammals was also predicted by the sum of model conserved microRNA-target interactions, revealing an unexpected degree of integration of the microRNA-target apparatus into the energy economy of the mammalian cell.
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Affiliation(s)
- Bastian Fromm
- The Arctic University Museum of Norway, UiT- The Arctic University of Norway, Tromsø, Norway
| | - Thomas Sorger
- Department of Biology, Roger Williams University, Bristol, RI 02809, USA
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Lakhotia SC. C-value paradox: Genesis in misconception that natural selection follows anthropocentric parameters of 'economy' and 'optimum'. BBA ADVANCES 2023; 4:100107. [PMID: 37868661 PMCID: PMC10587719 DOI: 10.1016/j.bbadva.2023.100107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
C-value paradox refers to the lack of correlation between biological complexity and the intuitively expected protein-coding genomic information or DNA content. Here I discuss five questions about this paradox: i) Do biologically complex organisms carry more protein-coding genes? ii) Does variable accumulation of selfish/ junk/ parasitic DNA underlie the c-value paradox? iii) Can nucleoskeletal or nucleotypic function of DNA explain the enigma of orders of magnitude high levels of DNA in some 'lower' taxa or in taxonomically related species? iv) Can the newly understood noncoding but functional DNA explain the c-value paradox? and, v) Does natural selection uniformly apply the anthropocentric parameters for 'optimum' and 'economy'? Answers to Q.1-5 are largely negative. Biology presents numerous 'anomalous' examples where the same end function/ phenotype is attained in different organisms through astoundingly diverse ways that appear 'illogical' in our perceptions. Such evolutionary oddities exist because natural selection, unlike a designer, exploits random and stochastic events to modulate the existing system. Consequently, persistence of the new-found 'solution/s' often appear bizarre, uneconomic, and therefore, paradoxical to human logic. The unexpectedly high c-values in diverse organisms are irreversible evolutionary accidents that persisted, and the additional DNA often got repurposed over the evolutionary time scale. Therefore, the c-value paradox is a redundant issue. Future integrative biological studies should address evolutionary mechanisms and processes underlying sporadic DNA expansions/ contractions, and how the newly acquired DNA content has been repurposed in diverse groups.
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Affiliation(s)
- Subhash C. Lakhotia
- Cytogenetics Laboratory, Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi 221005, India
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Craig JM, Kumar S, Hedges SB. The origin of eukaryotes and rise in complexity were synchronous with the rise in oxygen. FRONTIERS IN BIOINFORMATICS 2023; 3:1233281. [PMID: 37727796 PMCID: PMC10505794 DOI: 10.3389/fbinf.2023.1233281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/07/2023] [Indexed: 09/21/2023] Open
Abstract
The origin of eukaryotes was among the most important events in the history of life, spawning a new evolutionary lineage that led to all complex multicellular organisms. However, the timing of this event, crucial for understanding its environmental context, has been difficult to establish. The fossil and biomarker records are sparse and molecular clocks have thus far not reached a consensus, with dates spanning 2.1-0.91 billion years ago (Ga) for critical nodes. Notably, molecular time estimates for the last common ancestor of eukaryotes are typically hundreds of millions of years younger than the Great Oxidation Event (GOE, 2.43-2.22 Ga), leading researchers to question the presumptive link between eukaryotes and oxygen. We obtained a new time estimate for the origin of eukaryotes using genetic data of both archaeal and bacterial origin, the latter rarely used in past studies. We also avoided potential calibration biases that may have affected earlier studies. We obtained a conservative interval of 2.2-1.5 Ga, with an even narrower core interval of 2.0-1.8 Ga, for the origin of eukaryotes, a period closely aligned with the rise in oxygen. We further reconstructed the history of biological complexity across the tree of life using three universal measures: cell types, genes, and genome size. We found that the rise in complexity was temporally consistent with and followed a pattern similar to the rise in oxygen. This suggests a causal relationship stemming from the increased energy needs of complex life fulfilled by oxygen.
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Affiliation(s)
- Jack M. Craig
- Center for Biodiversity, Temple University, Philadelphia, PA, United States
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States
- Department of Biology, Temple University, Philadelphia, PA, United States
| | - Sudhir Kumar
- Center for Biodiversity, Temple University, Philadelphia, PA, United States
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States
- Department of Biology, Temple University, Philadelphia, PA, United States
| | - S. Blair Hedges
- Center for Biodiversity, Temple University, Philadelphia, PA, United States
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States
- Department of Biology, Temple University, Philadelphia, PA, United States
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Cerca J, Cotoras DD, Bieker VC, De-Kayne R, Vargas P, Fernández-Mazuecos M, López-Delgado J, White O, Stervander M, Geneva AJ, Guevara Andino JE, Meier JI, Roeble L, Brée B, Patiño J, Guayasamin JM, Torres MDL, Valdebenito H, Castañeda MDR, Chaves JA, Díaz PJ, Valente L, Knope ML, Price JP, Rieseberg LH, Baldwin BG, Emerson BC, Rivas-Torres G, Gillespie R, Martin MD. Evolutionary genomics of oceanic island radiations. Trends Ecol Evol 2023:S0169-5347(23)00032-0. [PMID: 36870806 DOI: 10.1016/j.tree.2023.02.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 01/26/2023] [Accepted: 02/02/2023] [Indexed: 03/06/2023]
Abstract
A recurring feature of oceanic archipelagos is the presence of adaptive radiations that generate endemic, species-rich clades that can offer outstanding insight into the links between ecology and evolution. Recent developments in evolutionary genomics have contributed towards solving long-standing questions at this interface. Using a comprehensive literature search, we identify studies spanning 19 oceanic archipelagos and 110 putative adaptive radiations, but find that most of these radiations have not yet been investigated from an evolutionary genomics perspective. Our review reveals different gaps in knowledge related to the lack of implementation of genomic approaches, as well as undersampled taxonomic and geographic areas. Filling those gaps with the required data will help to deepen our understanding of adaptation, speciation, and other evolutionary processes.
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Affiliation(s)
- José Cerca
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway.
| | - Darko D Cotoras
- Department of Terrestrial Zoology, Senckenberg Research Institute and Natural History Museum, Senckenberganlage 25, 60325 Frankfurt am Main, Germany; Department of Entomology, California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118, USA
| | - Vanessa C Bieker
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Rishi De-Kayne
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK
| | - Pablo Vargas
- Biodiversity and Conservation, Real Jardín Botánico, 28014 Madrid, Spain
| | - Mario Fernández-Mazuecos
- Departamento de Biología (Botánica), Facultad de Ciencias, Universidad Autónoma de Madrid, Calle Darwin 2, 28049 Madrid, Spain; Centro de Investigación en Biodiversidad y Cambio Global, Universidad Autónoma de Madrid (CIBC-UAM), Calle Darwin 2, 28049 Madrid, Spain
| | - Julia López-Delgado
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Oliver White
- Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD, UK
| | - Martin Stervander
- Bird Group, Natural History Museum, Akeman Street, Tring, Hertfordshire HP23 6AP, UK
| | - Anthony J Geneva
- Department of Biology and Center for Computational and Integrative Biology, Rutgers University-Camden, Camden, NJ, USA
| | - Juan Ernesto Guevara Andino
- Grupo de Investigación en Biodiversidad Medio Ambiente y Salud (BIOMAS), Universidad de las Américas, Quito, Ecuador
| | - Joana Isabel Meier
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Lizzie Roeble
- Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, The Netherlands; Groningen Institute for Evolutionary Life Sciences, University of Groningen, Box 11103, 9700, 5 CC Groningen, The Netherlands
| | - Baptiste Brée
- Université de Pau et des Pays de l'Adour (UPPA), Energy Environment Solutions (E2S), Centre National de la Recherche Scientifique (CNRS), Institut des Sciences Analytiques et de Physico-Chimie pour l'Environnement et les Matériaux (IPREM), 64000 Pau, France
| | - Jairo Patiño
- Island Ecology and Evolution Research Group, Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), Calle Astrofísico Francisco Sánchez 3, 38206 La Laguna, Tenerife, Canary Islands, 38206, Spain
| | - Juan M Guayasamin
- Laboratorio de Biología Evolutiva, Instituto Biósfera, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Calle Diego de Robles y Avenida Pampite, Cumbayá, 170901 Quito, Ecuador; Galapagos Science Center, Universidad San Francisco de Quito (USFQ) and University of North Carolina (UNC) at Chapel Hill, San Cristobal, Galapagos, Ecuador
| | - María de Lourdes Torres
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Calle Diego de Robles y Avenida Pampite, Cumbayá, Quito, Ecuador; Galapagos Science Center, Universidad San Francisco de Quito (USFQ) and University of North Carolina (UNC) at Chapel Hill, San Cristobal, Galapagos, Ecuador
| | - Hugo Valdebenito
- Galapagos Science Center, Universidad San Francisco de Quito (USFQ) and University of North Carolina (UNC) at Chapel Hill, San Cristobal, Galapagos, Ecuador; Herbarium of Economic Botany of Ecuador (Herabario QUSF), Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Calle Diego de Robles y Avenida Pampite, Cumbayá, Quito, Ecuador
| | | | - Jaime A Chaves
- Department of Biology, San Francisco State University, San Francisco, CA 94132, USA; Laboratorio de Biología Evolutiva, Instituto Biósfera, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Calle Diego de Robles y Avenida Pampite, Cumbayá, 170901 Quito, Ecuador
| | - Patricia Jaramillo Díaz
- Estación Científica Charles Darwin, Fundación Charles Darwin, Santa Cruz, Galápagos, Ecuador; Department of Botany and Plant Physiology, University of Málaga, Málaga, Spain
| | - Luis Valente
- Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, The Netherlands; Groningen Institute for Evolutionary Life Sciences, University of Groningen, Box 11103, 9700, 5 CC Groningen, The Netherlands
| | - Matthew L Knope
- Department of Biology, University of Hawai'i at Hilo, 200 West Kawili Street, Hilo, 96720, HI, USA
| | - Jonathan P Price
- Department of Biology, University of Hawai'i at Hilo, 200 West Kawili Street, Hilo, 96720, HI, USA
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Bruce G Baldwin
- Jepson Herbarium and Department of Integrative Biology, 1001 Valley Life Sciences Building 2465, University of California, Berkeley, CA 94720-2465, USA
| | - Brent C Emerson
- Island Ecology and Evolution Research Group, Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna, Spain
| | - Gonzalo Rivas-Torres
- Estación Científica Charles Darwin, Fundación Charles Darwin, Santa Cruz, Galápagos, Ecuador; Estación de Biodiversidad Tiputini, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito, Ecuador
| | - Rosemary Gillespie
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
| | - Michael D Martin
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Fujiwara T, Liu H, Meza-Torres EI, Morero RE, Vega AJ, Liang Z, Ebihara A, Leitch IJ, Schneider H. Evolution of genome space occupation in ferns: linking genome diversity and species richness. ANNALS OF BOTANY 2023; 131:59-70. [PMID: 34259813 PMCID: PMC9904345 DOI: 10.1093/aob/mcab094] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 07/10/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND AND AIMS The dynamics of genome evolution caused by whole genome duplications and other processes are hypothesized to shape the diversification of plants and thus contribute to the astonishing variation in species richness among the main lineages of land plants. Ferns, the second most species-rich lineage of land plants, are highly suitable to test this hypothesis because of several unique features that distinguish fern genomes from those of seed plants. In this study, we tested the hypothesis that genome diversity and disparity shape fern species diversity by recording several parameters related to genome size and chromosome number. METHODS We conducted de novo measurement of DNA C-values across the fern phylogeny to reconstruct the phylogenetic history of the genome space occupation in ferns by integrating genomic parameters such as genome size, chromosome number and average DNA amount per chromosome into a time-scaled phylogenetic framework. Using phylogenetic generalized least square methods, we determined correlations between chromosome number and genome size, species diversity and evolutionary rates of their transformation. KEY RESULTS The measurements of DNA C-values for 233 species more than doubled the taxon coverage from ~2.2 % in previous studies to 5.3 % of extant diversity. The dataset not only documented substantial differences in the accumulation of genomic diversity and disparity among the major lineages of ferns but also supported the predicted correlation between species diversity and the dynamics of genome evolution. CONCLUSIONS Our results demonstrated substantial genome disparity among different groups of ferns and supported the prediction that alterations of reproductive modes alter trends of genome evolution. Finally, we recovered evidence for a close link between the dynamics of genome evolution and species diversity in ferns for the first time.
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Affiliation(s)
- Tao Fujiwara
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
- Makino Herbarium, Tokyo Metropolitan University, 1-1 Minami-osawa, Hachioji, Tokyo, Japan
| | - Hongmei Liu
- Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
| | - Esteban I Meza-Torres
- Instituto de Botánica del Nordeste, Universidad Nacional del Nordeste, Consejo Nacional de Investigaciones Científicas y Técnicas, Corrientes, Argentina
| | - Rita E Morero
- Instituto Multidiscipinario de Biologia Vegetal, Universidad Nacional de Cordoba, Consejo Nacional de Investigaciones Científicas y Tecnicas, Cordoba, Argentina
| | - Alvaro J Vega
- Instituto de Botánica del Nordeste, Universidad Nacional del Nordeste, Consejo Nacional de Investigaciones Científicas y Técnicas, Corrientes, Argentina
| | - Zhenlong Liang
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
| | - Atsushi Ebihara
- Department of Botany, National Museum of Nature and Sciences, Tsukuba, Japan
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8
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Bencurova E, Akash A, Dobson RC, Dandekar T. DNA storage-from natural biology to synthetic biology. Comput Struct Biotechnol J 2023; 21:1227-1235. [PMID: 36817961 PMCID: PMC9932295 DOI: 10.1016/j.csbj.2023.01.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/04/2023] Open
Abstract
Natural DNA storage allows cellular differentiation, evolution, the growth of our children and controls all our ecosystems. Here, we discuss the fundamental aspects of DNA storage and recent advances in this field, with special emphasis on natural processes and solutions that can be exploited. We point out new ways of efficient DNA and nucleotide storage that are inspired by nature. Within a few years DNA-based information storage may become an attractive and natural complementation to current electronic data storage systems. We discuss rapid and directed access (e.g. DNA elements such as promotors, enhancers), regulatory signals and modulation (e.g. lncRNA) as well as integrated high-density storage and processing modules (e.g. chromosomal territories). There is pragmatic DNA storage for use in biotechnology and human genetics. We examine DNA storage as an approach for synthetic biology (e.g. light-controlled nucleotide processing enzymes). The natural polymers of DNA and RNA offer much for direct storage operations (read-in, read-out, access control). The inbuilt parallelism (many molecules at many places working at the same time) is important for fast processing of information. Using biology concepts from chromosomal storage, nucleic acid processing as well as polymer material sciences such as electronical effects in enzymes, graphene, nanocellulose up to DNA macramé , DNA wires and DNA-based aptamer field effect transistors will open up new applications gradually replacing classical information storage methods in ever more areas over time (decades).
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Affiliation(s)
- Elena Bencurova
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Aman Akash
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Renwick C.J. Dobson
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, Australia
| | - Thomas Dandekar
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany,Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany,Corresponding author at: Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
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9
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Gutiérrez J, Aleix-Mata G, Montiel EE, Cabral-de-Mello DC, Marchal JA, Sánchez A. Satellitome Analysis on Talpa aquitania Genome and Inferences about the satDNAs Evolution on Some Talpidae. Genes (Basel) 2022; 14:117. [PMID: 36672858 PMCID: PMC9859602 DOI: 10.3390/genes14010117] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 01/04/2023] Open
Abstract
In the genus Talpa a new species, named Talpa aquitania, has been recently described. Only cytogenetic data are available for the nuclear genome of this species. In this work, we characterize the satellitome of the T. aquitania genome that presents 16 different families, including telomeric sequences, and they represent 1.24% of the genome. The first satellite DNA family (TaquSat1-183) represents 0.558%, and six more abundant families, including TaquSat1-183, comprise 1.13%, while the remaining 11 sat-DNAs represent only 0.11%. The average A + T content of the SatDNA families was 50.43% and the median monomer length was 289.24 bp. The analysis of these SatDNAs indicated that they have different grades of clusterization, homogenization, and degeneration. Most of the satDNA families are present in the genomes of the other Talpa species analyzed, while in the genomes of other more distant species of Talpidae, only some of them are present, in accordance with the library hypothesis. Moreover, chromosomal localization by FISH revealed that some satDNAs are localized preferentially on centromeric and non-centromeric heterochromatin in T. aquitania and also in the sister species T. occidentalis karyotype. The differences observed between T. aquitania and the close relative T. occidentalis and T. europaea suggested that the satellitome is a very dynamic component of the genomes and that the satDNAs could be responsible for chromosomal differences between the species. Finally, in a broad context, these data contribute to the understanding of the evolution of satellitomes on mammals.
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Affiliation(s)
- Juana Gutiérrez
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
| | - Gaël Aleix-Mata
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
| | - Eugenia E. Montiel
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
| | - Diogo C. Cabral-de-Mello
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
- Departamento de Biologia Geral e Aplicada, Instituto de Biociências/IB, UNESP—Universidade Estadual Paulista, Rio Claro, São Paulo 13506-900, Brazil
| | - Juan Alberto Marchal
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
| | - Antonio Sánchez
- Departamento de Biología Experimental, Área de Genética, Universidad de Jaén, Paraje de las Lagunillas s/n, 23071 Jaén, Spain
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Wyngaard GA, Skern-Mauritzen R, Malde K, Prendergast R, Peruzzi S. The salmon louse genome may be much larger than sequencing suggests. Sci Rep 2022; 12:6616. [PMID: 35459797 PMCID: PMC9033869 DOI: 10.1038/s41598-022-10585-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 04/08/2022] [Indexed: 12/30/2022] Open
Abstract
The genome size of organisms impacts their evolution and biology and is often assumed to be characteristic of a species. Here we present the first published estimates of genome size of the ecologically and economically important ectoparasite, Lepeophtheirus salmonis (Copepoda, Caligidae). Four independent L. salmonis genome assemblies of the North Atlantic subspecies Lepeophtheirus salmonis salmonis, including two chromosome level assemblies, yield assemblies ranging from 665 to 790 Mbps. These genome assemblies are congruent in their findings, and appear very complete with Benchmarking Universal Single-Copy Orthologs analyses finding > 92% of expected genes and transcriptome datasets routinely mapping > 90% of reads. However, two cytometric techniques, flow cytometry and Feulgen image analysis densitometry, yield measurements of 1.3-1.6 Gb in the haploid genome. Interestingly, earlier cytometric measurements reported genome sizes of 939 and 567 Mbps in L. salmonis salmonis samples from Bay of Fundy and Norway, respectively. Available data thus suggest that the genome sizes of salmon lice are variable. Current understanding of eukaryotic genome dynamics suggests that the most likely explanation for such variability involves repetitive DNA, which for L. salmonis makes up ≈ 60% of the genome assemblies.
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Affiliation(s)
- Grace A Wyngaard
- Department of Biology, James Madison University, Harrisonburg, VA, USA
| | | | - Ketil Malde
- Institute of Marine Research, Bergen, Norway
- Department of Informatics, University of Bergen, Bergen, Norway
| | | | - Stefano Peruzzi
- Department of Arctic Marine Biology, UiT-the Arctic University of Norway, Tromsø, Norway.
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11
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Wang Z, Yang J, Cheng F, Li P, Xin X, Wang W, Yu Y, Zhang D, Zhao X, Yu S, Zhang F, Dong Y, Su T. Subgenome dominance and its evolutionary implications in crop domestication and breeding. HORTICULTURE RESEARCH 2022; 9:uhac090. [PMID: 35873727 PMCID: PMC9297153 DOI: 10.1093/hr/uhac090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 03/30/2022] [Indexed: 05/29/2023]
Abstract
Polyploidization or whole-genome duplication (WGD) is a well-known speciation and adaptation mechanism in angiosperms, while subgenome dominance is a crucial phenomenon in allopolyploids, established following polyploidization. The dominant subgenomes contribute more to genome evolution and homoeolog expression bias, both of which confer advantages for short-term phenotypic adaptation and long-term domestication. In this review, we firstly summarize the probable mechanistic basis for subgenome dominance, including the effects of genetic [transposon, genetic incompatibility, and homoeologous exchange (HE)], epigenetic (DNA methylation and histone modification), and developmental and environmental factors on this evolutionary process. We then move to Brassica rapa, a typical allopolyploid with subgenome dominance. Polyploidization provides the B. rapa genome not only with the genomic plasticity for adapting to changeable environments, but also an abundant genetic basis for morphological variation, making it a representative species for subgenome dominance studies. According to the 'two-step theory', B. rapa experienced genome fractionation twice during WGD, in which most of the genes responding to the environmental cues and phytohormones were over-retained, enhancing subgenome dominance and consequent adaption. More than this, the pangenome of 18 B. rapa accessions with different morphotypes recently constructed provides further evidence to reveal the impacts of polyploidization and subgenome dominance on intraspecific diversification in B. rapa. Above and beyond the fundamental understanding of WGD and subgenome dominance in B. rapa and other plants, however, it remains elusive why subgenome dominance has tissue- and spatiotemporal-specific features and could shuffle between homoeologous regions of different subgenomes by environments in allopolyploids. We lastly propose acceleration of the combined application of resynthesized allopolyploids, omics technology, and genome editing tools to deepen mechanistic investigations of subgenome dominance, both genetic and epigenetic, in a variety of species and environments. We believe that the implications of genomic and genetic basis of a variety of ecologically, evolutionarily, and agriculturally interesting traits coupled with subgenome dominance will be uncovered and aid in making new discoveries and crop breeding.
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Affiliation(s)
| | | | | | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
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12
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Murcia-Garzón J, Méndez-Tenorio A. Promiscuous Domains in Eukaryotes and HAT Proteins in FUNGI Have Followed Different Evolutionary Paths. J Mol Evol 2022; 90:124-138. [PMID: 35084521 DOI: 10.1007/s00239-021-10046-w] [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: 11/23/2020] [Accepted: 12/27/2021] [Indexed: 10/19/2022]
Abstract
Diverse studies have shown that the content of genes present in sequenced genomes does not seem to correlate with the complexity of the organisms. However, various studies have shown that organism complexity and the size of the proteome has, indeed, a significant correlation. This characteristic allows us to postulate that some molecular mechanisms have permitted a greater functional diversity to some proteins to increase their participation in developing organisms with higher complexity. Among those mechanisms, the domain promiscuity, defined as the ability of the domains to organize in combination with other distinct domains, is of great importance for the evolution of organisms. Previous works have analyzed the degree of domain promiscuity of the proteomes showing how it seems to have paralleled the evolution of eukaryotic organisms. The latter has motivated the present study, where we analyzed the domain promiscuity in a collection of 84 eukaryotic proteomes representative of all the taxonomy groups of the tree of life. Using a grammar definition approach, we determined the architecture of 1,223,227 proteins, conformed by 2,296,371 domains, which established 839,184 bigram types. The phylogenetic reconstructions based on differences in the content of information from measures of proteome promiscuity confirm that the evolution of the promiscuity of domains in eukaryotic organisms resembles the evolutionary history of the species. However, a close analysis of the PHD and RING domains, the most promiscuous domains found in fungi and functional components of chromatin remodeling enzymes and important expression regulators, suggests an evolution according to their function.
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Affiliation(s)
- Jazmín Murcia-Garzón
- Laboratorio de Biotecnología Vegetal, Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Boulevard del Maestro S/N esq. Elías Piña, Col. Narciso Mendoza, 88710, Reynosa, Tamaulipas, Mexico
| | - Alfonso Méndez-Tenorio
- Laboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prol. de Carpio y Plan de Ayala s/n, Col. Santo Tomás, 11340, Mexico City, Mexico.
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13
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Herklotz V, Kovařík A, Wissemann V, Lunerová J, Vozárová R, Buschmann S, Olbricht K, Groth M, Ritz CM. Power and Weakness of Repetition - Evaluating the Phylogenetic Signal From Repeatomes in the Family Rosaceae With Two Case Studies From Genera Prone to Polyploidy and Hybridization ( Rosa and Fragaria). FRONTIERS IN PLANT SCIENCE 2021; 12:738119. [PMID: 34950159 PMCID: PMC8688825 DOI: 10.3389/fpls.2021.738119] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/08/2021] [Indexed: 06/14/2023]
Abstract
Plant genomes consist, to a considerable extent, of non-coding repetitive DNA. Several studies showed that phylogenetic signals can be extracted from such repeatome data by using among-species dissimilarities from the RepeatExplorer2 pipeline as distance measures. Here, we advanced this approach by adjusting the read input for comparative clustering indirectly proportional to genome size and by summarizing all clusters into a main distance matrix subjected to Neighbor Joining algorithms and Principal Coordinate Analyses. Thus, our multivariate statistical method works as a "repeatomic fingerprint," and we proved its power and limitations by exemplarily applying it to the family Rosaceae at intrafamilial and, in the genera Fragaria and Rosa, at the intrageneric level. Since both taxa are prone to hybridization events, we wanted to show whether repeatome data are suitable to unravel the origin of natural and synthetic hybrids. In addition, we compared the results based on complete repeatomes with those from ribosomal DNA clusters only, because they represent one of the most widely used barcoding markers. Our results demonstrated that repeatome data contained a clear phylogenetic signal supporting the current subfamilial classification within Rosaceae. Accordingly, the well-accepted major evolutionary lineages within Fragaria were distinguished, and hybrids showed intermediate positions between parental species in data sets retrieved from both complete repeatomes and rDNA clusters. Within the taxonomically more complicated and particularly frequently hybridizing genus Rosa, we detected rather weak phylogenetic signals but surprisingly found a geographic pattern at a population scale. In sum, our method revealed promising results at larger taxonomic scales as well as within taxa with manageable levels of reticulation, but success remained rather taxon specific. Since repeatomes can be technically easy and comparably inexpensively retrieved even from samples of rather poor DNA quality, our phylogenomic method serves as a valuable alternative when high-quality genomes are unavailable, for example, in the case of old museum specimens.
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Affiliation(s)
- Veit Herklotz
- Department of Botany, Senckenberg Museum of Natural History Görlitz, Görlitz, Germany
| | - Aleš Kovařík
- Department of Molecular Epigenetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czechia
| | - Volker Wissemann
- Institute of Botany, Systematic Botany Group, Justus-Liebig-University, Gießen, Germany
| | - Jana Lunerová
- Department of Molecular Epigenetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czechia
| | - Radka Vozárová
- Department of Molecular Epigenetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czechia
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Sebastian Buschmann
- Department of Botany, Senckenberg Museum of Natural History Görlitz, Görlitz, Germany
- Institute of Botany, Technische Universität Dresden, Dresden, Germany
| | | | - Marco Groth
- CF DNA Sequencing, Leibniz Institute on Aging – Fritz Lipmann Institute, Jena, Germany
| | - Christiane M. Ritz
- Department of Botany, Senckenberg Museum of Natural History Görlitz, Görlitz, Germany
- Chair of Biodiversity of Higher Plants, Technische Universität Dresden, International Institute (IHI) Zittau, Zittau, Germany
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14
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Cerca J, Armstrong EE, Vizueta J, Fernández R, Dimitrov D, Petersen B, Prost S, Rozas J, Petrov D, Gillespie RG. The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders. Genome Biol Evol 2021; 13:evab262. [PMID: 34849853 PMCID: PMC8693713 DOI: 10.1093/gbe/evab262] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2021] [Indexed: 01/07/2023] Open
Abstract
Spiders (Araneae) have a diverse spectrum of morphologies, behaviors, and physiologies. Attempts to understand the genomic-basis of this diversity are often hindered by their large, heterozygous, and AT-rich genomes with high repeat content resulting in highly fragmented, poor-quality assemblies. As a result, the key attributes of spider genomes, including gene family evolution, repeat content, and gene function, remain poorly understood. Here, we used Illumina and Dovetail Chicago technologies to sequence the genome of the long-jawed spider Tetragnatha kauaiensis, producing an assembly distributed along 3,925 scaffolds with an N50 of ∼2 Mb. Using comparative genomics tools, we explore genome evolution across available spider assemblies. Our findings suggest that the previously reported and vast genome size variation in spiders is linked to the different representation and number of transposable elements. Using statistical tools to uncover gene-family level evolution, we find expansions associated with the sensory perception of taste, immunity, and metabolism. In addition, we report strikingly different histories of chemosensory, venom, and silk gene families, with the first two evolving much earlier, affected by the ancestral whole genome duplication in Arachnopulmonata (∼450 Ma) and exhibiting higher numbers. Together, our findings reveal that spider genomes are highly variable and that genomic novelty may have been driven by the burst of an ancient whole genome duplication, followed by gene family and transposable element expansion.
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Affiliation(s)
- José Cerca
- Berkeley Evolab, Department of Environmental Science, Policy, and Management, UC Berkeley, California, USA
- Frontiers in Evolutionary Zoology, Natural History Museum, University of Oslo, Norway
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ellie E Armstrong
- Berkeley Evolab, Department of Environmental Science, Policy, and Management, UC Berkeley, California, USA
- Department of Biology, Stanford University, California, USA
| | - Joel Vizueta
- Departament de Genètica, Microbiologia i Estadística & Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Spain
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark
| | - Rosa Fernández
- Institute of Evolutionary Biology (CSIC—Universitat Pompeu Fabra), Barcelona, Spain
| | - Dimitar Dimitrov
- Department of Natural History, University Museum of Bergen, University of Bergen, Norway
| | - Bent Petersen
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery, Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Stefan Prost
- Central Research Laboratories, Natural History Museum Vienna, Vienna, Austria
- University of Veterinary Medicine, Konrad Lorenz Institute of Ethology, Vienna, Austria
- South African National Biodiversity Institute, National Zoological Garden, Pretoria, South Africa
| | - Julio Rozas
- Departament de Genètica, Microbiologia i Estadística & Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Spain
| | - Dmitri Petrov
- Department of Biology, Stanford University, California, USA
| | - Rosemary G Gillespie
- Berkeley Evolab, Department of Environmental Science, Policy, and Management, UC Berkeley, California, USA
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15
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Paredes O, Morales JA, Mendizabal AP, Romo-Vázquez R. Metacode: One code to rule them all. Biosystems 2021; 208:104486. [PMID: 34274462 DOI: 10.1016/j.biosystems.2021.104486] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/07/2021] [Accepted: 07/09/2021] [Indexed: 12/13/2022]
Abstract
The code of codes or metacode is a microcosm where biological layers, as well as their codes, interact together allowing the continuity of information flow in organisms by increasing biological entities' complexity. Through this novel organic code, biological systems scale towards niches with higher informatic freedom building structures that increase the entropy in the universe. Code biology has developed a novel informational framework where biological entities strive themselves through the information flow carried out through organic codes consisting of two molecular or functional landscapes intertwined through arbitrary linkages via an adaptor whose nature is autonomous from molecular determinism. Here we will integrate genomic and epigenomic codes according to the evidence released in ENCODE (phase 3), psychENCODE and GTEx project, outlining the principles of the metacode, to address the continuous nature of biological systems and their inter-layered information flow. This novel complex metacode maps from very constrained sets of elements (i.e., regulation sites modulating gene expression) to new ones with greater freedom of decoding (i.e., a continuous cell phenotypic space). This leads to a new domain in code biology where biological systems are informatic attractors that navigate an energy metaspace through a complexity-noise balance, stalling in emergent niches where organic codes take meaning.
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Affiliation(s)
- Omar Paredes
- Computer Sciences Department, CUCEI, Universidad de Guadalajara, Mexico
| | | | - Adriana P Mendizabal
- Molecular Biology Laboratory, Farmacobiology Department, CUCEI, Universidad de Guadalajara, Mexico
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16
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Gene Expression and Isoform Identification of PacBio Full-Length cDNA Sequences for Berberine Biosynthesis in Berberis koreana. PLANTS 2021; 10:plants10071314. [PMID: 34203474 PMCID: PMC8308982 DOI: 10.3390/plants10071314] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/18/2021] [Accepted: 06/25/2021] [Indexed: 12/13/2022]
Abstract
Berberis koreana is a medicinal plant containing berberine, which is a bioactive compound of the benzylisoquinoline alkaloid (BIA) class. BIA is widely used in the food and drug industry for its health benefits. To investigate the berberine biosynthesis pathway, gene expression analysis was performed in leaves, flowers, and fruits at different stages of growth. This was followed by full-length cDNA sequencing analysis using the PacBio sequencer platform to determine the number of isoforms of those expressed genes. We identified 23,246 full-length unigenes, among which 8479 had more than one isoform. The number of isoforms ranged between two to thirty-one among all genes. Complete isoform analysis was carried out on the unigenes encoding BIA synthesis. Thirteen of the sixteen genes encoding enzymes for berberine synthesis were present in more than one copy. This demonstrates that gene duplication and translation into isoforms may contribute to the functional specificity of the duplicated genes and isoforms in plant alkaloid synthesis. Our study also demonstrated the streamlining of berberine biosynthesis via the absence of genes for enzymes of other BIAs, but the presence of all the genes for berberine biosynthesize in B. koreana. In addition to genes encoding enzymes for the berberine biosynthesis pathway, the genes encoding enzymes for other BIAs were not present in our dataset except for those encoding corytuberine synthase (CTS) and berbamunine synthase (BS). Therefore, this explains how B. koreana produces berberine by blocking the pathways leading to other BIAs, effectively only allowing the pathway to lead to berberine synthesis.
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