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  • Articles  (14)
  • Phylogeny  (14)
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  • Articles  (14)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 34 (1992), S. 175-184 
    ISSN: 1432-1432
    Keywords: Superoxide dismutase ; Phylogeny ; Evolutionary rates ; Horizontal gene transfers ; Molecular clock
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Phylogenetic trees were constructed for 25 Cu-Zn superoxide dismutases and 31 Mn/Fe superoxide dismutases. The latter set includes seven new sequences that we determined in an effort to make the two phylogenies equally representative. We analyzed all pairwise differences in each set in an attempt to estimate rates of change. As reported by others, the Cu-Zn enzyme has experienced significant changes in its evolutionary rate. In contrast, the clock for the Mn/Fe enzyme is ticking quite regularly. The comparison of these two independently evolved superoxide dismutases that catalyze the same reaction and occur together throughout much of the biological world suggests that adaptation to environmental stress is not the basis for the erratic rate of change observed in the Cu-Zn enzyme.
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 40 (1995), S. 487-498 
    ISSN: 1432-1432
    Keywords: Aminoacyl-tRNA synthetases ; Phylogeny ; Evolution of protein translation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Numerous aminoacyl-tRNA synthetase sequences have been aligned by computer and phylogenetic trees constructed from them for the two classes of these enzymes. Branching orders based on a consensus of these trees have been proposed for the two groups. Although the order of appearance can be rationalized to fit many different scenarios having to do with the genetic code, the invention of a system for translating nucleic acid sequences into polypeptide chains must have predated the existence of these proteins. In the past, a variety of schemes has been proposed for matching amino acids and tRNAs. Most of these have invoked direct recognition of one by the other, whether or not the anticodon was involved. Often ignored is the possibility of a nonprotein (presumably RNA) matchmaker for bringing the two into conjunction. If such had been the case, then the contemporary aminoacyl-tRNA synthetases could have entered the system gradually, each specific type replacing its matchmaking RNA counterpart in turn. A simple displacement scheme of this sort accommodates the existence of two different families of these enzymes, the second being introduced well before the first had undergone sufficient genetic duplications to specify the full gamut of amino acids. Such a scheme is also consistent with similar amino acids often, but not always, being the substrates of enzymes with the most similar amino acid sequences.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 39 (1994), S. 631-643 
    ISSN: 1432-1432
    Keywords: Fibronectin type III ; Bacteria ; Glycohydrolases ; Phylogeny ; Horizontal gene transfers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The evolutionary spread of 22 fibronectin type III (Fn3) sequences among a dozen bacterial enzymes has been traced by searching databases with the non-Fn3 parts of the enzyme sequences. Numerous homologues were found that lacked the Fn3 domains. In each case the related sequences were aligned, phylogenetic trees were constructed, and the occurrences of Fn3 units on the trees were noted. Comparison with phylogenetic trees prepared from the Fn3 segments themselves allowed inferences to be made about when the Fn3 units were shuffled into their present positions.
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  • 4
    ISSN: 1433-4909
    Keywords: Key words Olive wastes ; Bacillus ; Alkaliphile ; Growth characteristics ; Lipid composition ; Phylogeny ; Adaptation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A novel Gram-positive facultatively alkaliphilic, sporulating, rod-shaped bacterium, designated as WW3-SN6, has been isolated from the alkaline washwaters derived from the preparation of edible olives. The bacterium is nonmotile, and flagella are not observed. It is oxidase positive and catalase negative. The facultative alkaliphile grows from pH 7.0 to 10.5, with a broad optimum from pH 8.0 to 9.0. It could grow in up to 15% (w/v) NaCl, and over the temperature range from 4° to 37°C, with an optimum between 27° and 32°C: therefore, it is both halotolerant and psychrotolerant. The bacterium is sensitive to a range of β-lactam, sulfonamide, and aminoglycoside antibiotics, but resistant to trimethoprim. The range of amino acids, sugars, and polyols utilized as growth substrates indicates that this alkaliphile is a heterotrophic bacterium. d(+)-glucose, d(+)-glucose-6-phosphate, d(+)-cellobiose, starch, or sucrose are the substrates best utilized. The major membrane lipids are phosphatidylglycerol and diphosphatidylglycerol, with smaller amounts of phosphatidylethanolamine and an unknown phospholipid. During growth at high pH, the proportion of phosphatidylglycerol is increased relative to phosphatidylethanolamine. The fatty acyl components in the membrane phospholipids are mainly branched chain, with 13-methyl tetradecanoic and 12-methyl tetradecanoic acids as the predominant components. The G + C content of the genomic DNA is 41.1 ± 1.0 mol%. The results of 16S ribosomal RNA sequence analysis place this alkaliphilic bacterium in a cluster, together with an unnamed alkaliphilic Bacillus species (98.2% similarity).
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Plant systematics and evolution 200 (1996), S. 213-224 
    ISSN: 1615-6110
    Keywords: Bryophytes ; Takakia ; mosses ; liverworts ; hornworts ; Phylogeny ; 18S rRNA gene ; parsimony analysis ; maximum-likelihood analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract We investigate phylogenetic relationships among hornworts, liverworts and mosses, and their relationships to other green plant groups, by analysis of nucleotide variation in complete 18s rRNA gene sequences of three green algae, two hornworts, seven liverworts, nine mosses, and six tracheophytes. Parsimony and maximum-likelihood analyses yield a single optimal tree in which the hornworts are resolved as the basal group among land plants, and the liverworts and mosses are sister taxa that together form the sister clade to the tracheophytes. This phylogeny is internally robust as indicated by decay indices and by comparison (using both parsimony and likelihood criteria) to topologies representing five alternative hypotheses of bryophyte relationships. We discuss some possible reasons for differences between the phylogeny inferred from the rRNA data and those inferred from other character sets.
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  • 6
    Publication Date: 2008-04-19
    Description: Antigenic and genetic analysis of the hemagglutinin of approximately 13,000 human influenza A (H3N2) viruses from six continents during 2002-2007 revealed that there was continuous circulation in east and Southeast Asia (E-SE Asia) via a region-wide network of temporally overlapping epidemics and that epidemics in the temperate regions were seeded from this network each year. Seed strains generally first reached Oceania, North America, and Europe, and later South America. This evidence suggests that once A (H3N2) viruses leave E-SE Asia, they are unlikely to contribute to long-term viral evolution. If the trends observed during this period are an accurate representation of overall patterns of spread, then the antigenic characteristics of A (H3N2) viruses outside E-SE Asia may be forecast each year based on surveillance within E-SE Asia, with consequent improvements to vaccine strain selection.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Russell, Colin A -- Jones, Terry C -- Barr, Ian G -- Cox, Nancy J -- Garten, Rebecca J -- Gregory, Vicky -- Gust, Ian D -- Hampson, Alan W -- Hay, Alan J -- Hurt, Aeron C -- de Jong, Jan C -- Kelso, Anne -- Klimov, Alexander I -- Kageyama, Tsutomu -- Komadina, Naomi -- Lapedes, Alan S -- Lin, Yi P -- Mosterin, Ana -- Obuchi, Masatsugu -- Odagiri, Takato -- Osterhaus, Albert D M E -- Rimmelzwaan, Guus F -- Shaw, Michael W -- Skepner, Eugene -- Stohr, Klaus -- Tashiro, Masato -- Fouchier, Ron A M -- Smith, Derek J -- DP1-OD000490-01/OD/NIH HHS/ -- MC_U117512723/Medical Research Council/United Kingdom -- Medical Research Council/United Kingdom -- New York, N.Y. -- Science. 2008 Apr 18;320(5874):340-6. doi: 10.1126/science.1154137.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, University of Cambridge, Cambridge, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18420927" target="_blank"〉PubMed〈/a〉
    Keywords: Antigenic Variation ; Asia/epidemiology ; Asia, Southeastern/epidemiology ; *Disease Outbreaks ; Europe/epidemiology ; Evolution, Molecular ; Forecasting ; Hemagglutinin Glycoproteins, Influenza Virus/genetics/*immunology ; Humans ; *Influenza A Virus, H3N2 Subtype/classification/genetics/immunology/isolation & ; purification ; Influenza Vaccines ; Influenza, Human/*epidemiology/virology ; North America/epidemiology ; Oceania ; Phylogeny ; Population Surveillance ; Seasons ; South America/epidemiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2012-12-22
    Description: Most mammalian genes produce multiple distinct messenger RNAs through alternative splicing, but the extent of splicing conservation is not clear. To assess tissue-specific transcriptome variation across mammals, we sequenced complementary DNA from nine tissues from four mammals and one bird in biological triplicate, at unprecedented depth. We find that while tissue-specific gene expression programs are largely conserved, alternative splicing is well conserved in only a subset of tissues and is frequently lineage-specific. Thousands of previously unknown, lineage-specific, and conserved alternative exons were identified; widely conserved alternative exons had signatures of binding by MBNL, PTB, RBFOX, STAR, and TIA family splicing factors, implicating them as ancestral mammalian splicing regulators. Our data also indicate that alternative splicing often alters protein phosphorylatability, delimiting the scope of kinase signaling.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3568499/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3568499/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Merkin, Jason -- Russell, Caitlin -- Chen, Ping -- Burge, Christopher B -- OD011092/OD/NIH HHS/ -- R01 HG002439/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Dec 21;338(6114):1593-9. doi: 10.1126/science.1228186.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23258891" target="_blank"〉PubMed〈/a〉
    Keywords: *Alternative Splicing ; Animals ; Biological Evolution ; Cattle ; Chickens ; Conserved Sequence ; DNA, Complementary ; DNA-Binding Proteins/metabolism ; *Evolution, Molecular ; Exons ; Gene Expression Profiling ; *Gene Expression Regulation ; Introns ; Macaca mulatta ; Male ; Mammals/*genetics ; Mice ; Models, Genetic ; Phosphorylation ; Phylogeny ; Protein Isoforms/chemistry/*genetics/metabolism ; Protein Kinases/genetics/metabolism ; RNA Splice Sites ; RNA Splicing ; RNA-Binding Proteins/metabolism ; Rats ; Sequence Analysis, DNA ; *Transcriptome
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2015-06-09
    Description: Understanding the spatiotemporal patterns of emergence and circulation of new human seasonal influenza virus variants is a key scientific and public health challenge. The global circulation patterns of influenza A/H3N2 viruses are well characterized, but the patterns of A/H1N1 and B viruses have remained largely unexplored. Here we show that the global circulation patterns of A/H1N1 (up to 2009), B/Victoria, and B/Yamagata viruses differ substantially from those of A/H3N2 viruses, on the basis of analyses of 9,604 haemagglutinin sequences of human seasonal influenza viruses from 2000 to 2012. Whereas genetic variants of A/H3N2 viruses did not persist locally between epidemics and were reseeded from East and Southeast Asia, genetic variants of A/H1N1 and B viruses persisted across several seasons and exhibited complex global dynamics with East and Southeast Asia playing a limited role in disseminating new variants. The less frequent global movement of influenza A/H1N1 and B viruses coincided with slower rates of antigenic evolution, lower ages of infection, and smaller, less frequent epidemics compared to A/H3N2 viruses. Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499780/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499780/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bedford, Trevor -- Riley, Steven -- Barr, Ian G -- Broor, Shobha -- Chadha, Mandeep -- Cox, Nancy J -- Daniels, Rodney S -- Gunasekaran, C Palani -- Hurt, Aeron C -- Kelso, Anne -- Klimov, Alexander -- Lewis, Nicola S -- Li, Xiyan -- McCauley, John W -- Odagiri, Takato -- Potdar, Varsha -- Rambaut, Andrew -- Shu, Yuelong -- Skepner, Eugene -- Smith, Derek J -- Suchard, Marc A -- Tashiro, Masato -- Wang, Dayan -- Xu, Xiyan -- Lemey, Philippe -- Russell, Colin A -- 093488/Wellcome Trust/United Kingdom -- 093488/Z/10/Z/Wellcome Trust/United Kingdom -- 095831/Wellcome Trust/United Kingdom -- 260864/European Research Council/International -- MR/J008761/1/Medical Research Council/United Kingdom -- R01 AI 107034/AI/NIAID NIH HHS/ -- R01 AI107034/AI/NIAID NIH HHS/ -- R01 TW008246/TW/FIC NIH HHS/ -- R01 TW008246-01/TW/FIC NIH HHS/ -- U01 GM110721/GM/NIGMS NIH HHS/ -- U01 GM110721-01/GM/NIGMS NIH HHS/ -- U117512723/Medical Research Council/United Kingdom -- U54 GM111274/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Jul 9;523(7559):217-20. doi: 10.1038/nature14460. Epub 2015 Jun 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; 1] MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London SW7 2AZ, UK [2] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA. ; World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia. ; SGT Medical College, Hospital and Research Institute, Village Budhera, District Gurgaon, Haryana 122505, India. ; National Institute of Virology, Pune 411001, India. ; WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention, Atlanta, Georgia 30329, USA. ; WHO Collaborating Center for Reference and Research on Influenza, Medical Research Council National Institute for Medical Research (NIMR), London NW7 1AA, UK. ; King Institute of Preventive Medicine and Research, Guindy, Chennai 600032, India. ; 1] World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia [2] Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria 3010, Australia. ; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute of Infectious Diseases, Tokyo 208-0011, Japan. ; 1] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA [2] Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, UK [3] Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 3FL, UK. ; 1] Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK [2] Department of Viroscience, Erasmus Medical Center, 3015 Rotterdam, The Netherlands. ; 1] Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, California 90095, USA [2] Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA [3] Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven - University of Leuven, 3000 Leuven, Belgium. ; Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26053121" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; *Antigenic Variation ; Global Health ; Humans ; Influenza A virus/classification/*genetics ; Influenza B virus/classification/*genetics ; Influenza, Human/*epidemiology/*virology ; Phylogeny ; Phylogeography ; Seasons
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2013-04-05
    Description: Membranes allow the compartmentalization of biochemical processes and are therefore fundamental to life. The conservation of the cellular membrane, combined with its accessibility to secreted proteins, has made it a common target of factors mediating antagonistic interactions between diverse organisms. Here we report the discovery of a diverse superfamily of bacterial phospholipase enzymes. Within this superfamily, we defined enzymes with phospholipase A1 and A2 activity, which are common in host-cell-targeting bacterial toxins and the venoms of certain insects and reptiles. However, we find that the fundamental role of the superfamily is to mediate antagonistic bacterial interactions as effectors of the type VI secretion system (T6SS) translocation apparatus; accordingly, we name these proteins type VI lipase effectors. Our analyses indicate that PldA of Pseudomonas aeruginosa, a eukaryotic-like phospholipase D, is a member of the type VI lipase effector superfamily and the founding substrate of the haemolysin co-regulated protein secretion island II T6SS (H2-T6SS). Although previous studies have specifically implicated PldA and the H2-T6SS in pathogenesis, we uncovered a specific role for the effector and its secretory machinery in intra- and interspecies bacterial interactions. Furthermore, we find that this effector achieves its antibacterial activity by degrading phosphatidylethanolamine, the major component of bacterial membranes. The surprising finding that virulence-associated phospholipases can serve as specific antibacterial effectors suggests that interbacterial interactions are a relevant factor driving the continuing evolution of pathogenesis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652678/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652678/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Russell, Alistair B -- LeRoux, Michele -- Hathazi, Krisztina -- Agnello, Danielle M -- Ishikawa, Takahiko -- Wiggins, Paul A -- Wai, Sun Nyunt -- Mougous, Joseph D -- AI057141/AI/NIAID NIH HHS/ -- AI080609/AI/NIAID NIH HHS/ -- AI105268/AI/NIAID NIH HHS/ -- GM07270/GM/NIGMS NIH HHS/ -- R01 AI080609/AI/NIAID NIH HHS/ -- R21 AI105268/AI/NIAID NIH HHS/ -- U54 AI057141/AI/NIAID NIH HHS/ -- England -- Nature. 2013 Apr 25;496(7446):508-12. doi: 10.1038/nature12074. Epub 2013 Apr 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23552891" target="_blank"〉PubMed〈/a〉
    Keywords: Anti-Bacterial Agents/*metabolism ; *Antibiosis ; *Bacterial Secretion Systems ; Cell Membrane/chemistry/metabolism ; Evolution, Molecular ; Phosphatidylethanolamines/metabolism ; Phospholipase D/chemistry/classification/*metabolism ; Phylogeny ; Pseudomonas aeruginosa/*enzymology/metabolism/pathogenicity ; Species Specificity ; Substrate Specificity ; Virulence Factors/chemistry/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2014-09-05
    Description: Cichlid fishes are famous for large, diverse and replicated adaptive radiations in the Great Lakes of East Africa. To understand the molecular mechanisms underlying cichlid phenotypic diversity, we sequenced the genomes and transcriptomes of five lineages of African cichlids: the Nile tilapia (Oreochromis niloticus), an ancestral lineage with low diversity; and four members of the East African lineage: Neolamprologus brichardi/pulcher (older radiation, Lake Tanganyika), Metriaclima zebra (recent radiation, Lake Malawi), Pundamilia nyererei (very recent radiation, Lake Victoria), and Astatotilapia burtoni (riverine species around Lake Tanganyika). We found an excess of gene duplications in the East African lineage compared to tilapia and other teleosts, an abundance of non-coding element divergence, accelerated coding sequence evolution, expression divergence associated with transposable element insertions, and regulation by novel microRNAs. In addition, we analysed sequence data from sixty individuals representing six closely related species from Lake Victoria, and show genome-wide diversifying selection on coding and regulatory variants, some of which were recruited from ancient polymorphisms. We conclude that a number of molecular mechanisms shaped East African cichlid genomes, and that amassing of standing variation during periods of relaxed purifying selection may have been important in facilitating subsequent evolutionary diversification.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353498/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353498/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brawand, David -- Wagner, Catherine E -- Li, Yang I -- Malinsky, Milan -- Keller, Irene -- Fan, Shaohua -- Simakov, Oleg -- Ng, Alvin Y -- Lim, Zhi Wei -- Bezault, Etienne -- Turner-Maier, Jason -- Johnson, Jeremy -- Alcazar, Rosa -- Noh, Hyun Ji -- Russell, Pamela -- Aken, Bronwen -- Alfoldi, Jessica -- Amemiya, Chris -- Azzouzi, Naoual -- Baroiller, Jean-Francois -- Barloy-Hubler, Frederique -- Berlin, Aaron -- Bloomquist, Ryan -- Carleton, Karen L -- Conte, Matthew A -- D'Cotta, Helena -- Eshel, Orly -- Gaffney, Leslie -- Galibert, Francis -- Gante, Hugo F -- Gnerre, Sante -- Greuter, Lucie -- Guyon, Richard -- Haddad, Natalie S -- Haerty, Wilfried -- Harris, Rayna M -- Hofmann, Hans A -- Hourlier, Thibaut -- Hulata, Gideon -- Jaffe, David B -- Lara, Marcia -- Lee, Alison P -- MacCallum, Iain -- Mwaiko, Salome -- Nikaido, Masato -- Nishihara, Hidenori -- Ozouf-Costaz, Catherine -- Penman, David J -- Przybylski, Dariusz -- Rakotomanga, Michaelle -- Renn, Suzy C P -- Ribeiro, Filipe J -- Ron, Micha -- Salzburger, Walter -- Sanchez-Pulido, Luis -- Santos, M Emilia -- Searle, Steve -- Sharpe, Ted -- Swofford, Ross -- Tan, Frederick J -- Williams, Louise -- Young, Sarah -- Yin, Shuangye -- Okada, Norihiro -- Kocher, Thomas D -- Miska, Eric A -- Lander, Eric S -- Venkatesh, Byrappa -- Fernald, Russell D -- Meyer, Axel -- Ponting, Chris P -- Streelman, J Todd -- Lindblad-Toh, Kerstin -- Seehausen, Ole -- Di Palma, Federica -- 2R01DE019637-04/DE/NIDCR NIH HHS/ -- F30 DE023013/DE/NIDCR NIH HHS/ -- MC_U137761446/Medical Research Council/United Kingdom -- R01 DE019637/DE/NIDCR NIH HHS/ -- R01 NS034950/NS/NINDS NIH HHS/ -- U54 HG002045/HG/NHGRI NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Sep 18;513(7518):375-81. doi: 10.1038/nature13726. Epub 2014 Sep 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK [3]. ; 1] Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland [2] Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland [3]. ; 1] MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK [2]. ; 1] Gurdon Institute, Cambridge CB2 1QN, UK [2] Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK. ; Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland. ; Department of Biology, University of Konstanz, D-78457 Konstanz, Germany. ; 1] Department of Biology, University of Konstanz, D-78457 Konstanz, Germany [2] European Molecular Biology Laboratory, 69117 Heidelberg, Germany. ; Institute of Molecular and Cell Biology, A*STAR, 138673 Singapore. ; Department of Biology, Reed College, Portland, Oregon 97202, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; Biology Department, Stanford University, Stanford, California 94305-5020, USA. ; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA. ; Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK. ; Benaroya Research Institute at Virginia Mason, Seattle, Washington 98101, USA. ; Institut Genetique et Developpement, CNRS/University of Rennes, 35043 Rennes, France. ; CIRAD, Campus International de Baillarguet, TA B-110/A, 34398 Montpellier cedex 5, France. ; School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332-0230, USA. ; Department of Biology, University of Maryland, College Park, Maryland 20742, USA. ; Animal Genetics, Institute of Animal Science, ARO, The Volcani Center, Bet-Dagan, 50250 Israel. ; Zoological Institute, University of Basel, CH-4051 Basel, Switzerland. ; 1] Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland [2] Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland. ; MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK. ; Department of Integrative Biology, Center for Computational Biology and Bioinformatics; The University of Texas at Austin, Austin, Texas 78712, USA. ; Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland. ; Department of Biological Sciences, Tokyo Institute of Technology, Tokyo, 226-8501 Yokohama, Japan. ; Systematique, Adaptation, Evolution, National Museum of Natural History, 75005 Paris, France. ; Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK. ; Carnegie Institution of Washington, Department of Embryology, 3520 San Martin Drive Baltimore, Maryland 21218, USA. ; 1] Department of Biological Sciences, Tokyo Institute of Technology, Tokyo, 226-8501 Yokohama, Japan [2] National Cheng Kung University, Tainan City, 704 Taiwan. ; Gurdon Institute, Cambridge CB2 1QN, UK. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Vertebrate and Health Genomics, The Genome Analysis Centre, Norwich NR18 7UH, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25186727" target="_blank"〉PubMed〈/a〉
    Keywords: Africa, Eastern ; Animals ; Cichlids/*classification/*genetics ; DNA Transposable Elements/genetics ; *Evolution, Molecular ; Gene Duplication/genetics ; Gene Expression Regulation/genetics ; *Genetic Speciation ; Genome/*genetics ; Genomics ; Lakes ; MicroRNAs/genetics ; Phylogeny ; Polymorphism, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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