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  • 1
    Publication Date: 2014-07-12
    Description: Heterosexual transmission of HIV-1 typically results in one genetic variant establishing systemic infection. We compared, for 137 linked transmission pairs, the amino acid sequences encoded by non-envelope genes of viruses in both partners and demonstrate a selection bias for transmission of residues that are predicted to confer increased in vivo fitness on viruses in the newly infected, immunologically naive recipient. Although tempered by transmission risk factors, such as donor viral load, genital inflammation, and recipient gender, this selection bias provides an overall transmission advantage for viral quasispecies that are dominated by viruses with high in vivo fitness. Thus, preventative or therapeutic approaches that even marginally reduce viral fitness may lower the overall transmission rates and offer long-term benefits even upon successful transmission.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289910/" 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/PMC4289910/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carlson, Jonathan M -- Schaefer, Malinda -- Monaco, Daniela C -- Batorsky, Rebecca -- Claiborne, Daniel T -- Prince, Jessica -- Deymier, Martin J -- Ende, Zachary S -- Klatt, Nichole R -- DeZiel, Charles E -- Lin, Tien-Ho -- Peng, Jian -- Seese, Aaron M -- Shapiro, Roger -- Frater, John -- Ndung'u, Thumbi -- Tang, Jianming -- Goepfert, Paul -- Gilmour, Jill -- Price, Matt A -- Kilembe, William -- Heckerman, David -- Goulder, Philip J R -- Allen, Todd M -- Allen, Susan -- Hunter, Eric -- 2P51RR000165-51/RR/NCRR NIH HHS/ -- G108/626/Medical Research Council/United Kingdom -- OD P51OD11132/OD/NIH HHS/ -- P01-AI074415/AI/NIAID NIH HHS/ -- P30 AI050409/AI/NIAID NIH HHS/ -- P51 OD010425/OD/NIH HHS/ -- P51 OD011132/OD/NIH HHS/ -- P51RR165/RR/NCRR NIH HHS/ -- R01 AI064060/AI/NIAID NIH HHS/ -- R01 AI64060/AI/NIAID NIH HHS/ -- R37 AI051231/AI/NIAID NIH HHS/ -- R37 AI51231/AI/NIAID NIH HHS/ -- T32 AI007387/AI/NIAID NIH HHS/ -- T32-AI007387/AI/NIAID NIH HHS/ -- U01 AI 66454/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Jul 11;345(6193):1254031. doi: 10.1126/science.1254031. Epub 2014 Jul 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Microsoft Research, Redmond, WA 98052, USA. carlson@microsoft.com ehunte4@emory.edu. ; Emory Vaccine Center at Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA. ; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02114, USA. ; Microsoft Research, Redmond, WA 98052, USA. ; Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA. ; Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 7BN, UK. National Institute of Health Research, Oxford Biomedical Research Centre, Oxford OX3 7LE, UK. Oxford Martin School, University of Oxford, Oxford OX1 3BD, UK. ; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02114, USA. HIV Pathogenesis Programme, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4013, South Africa. KwaZulu-Natal Research Institute for Tuberculosis and HIV (K-RITH), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa. Max Planck Institute for Infection Biology, D-10117 Berlin, Germany. ; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA. ; International AIDS Vaccine Initiative, London SW10 9NH, UK. Imperial College of Science Technology and Medicine, London SW10 9NH, UK. ; International AIDS Vaccine Initiative, San Francisco, CA 94105, USA. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94105, USA. ; Rwanda-Zambia HIV Research Group: Zambia-Emory HIV Research Project, Lusaka, Zambia. ; Microsoft Research, Los Angeles, CA 98117, USA. ; HIV Pathogenesis Programme, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4013, South Africa. Department of Paediatrics, University of Oxford, Oxford OX1 3SY, UK. ; Rwanda-Zambia HIV Research Group: Zambia-Emory HIV Research Project, Lusaka, Zambia. Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA. Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA. ; International AIDS Vaccine Initiative, San Francisco, CA 94105, USA. Microsoft Research, Los Angeles, CA 98117, USA. Department of Paediatrics, University of Oxford, Oxford OX1 3SY, UK. ; Emory Vaccine Center at Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA. Rwanda-Zambia HIV Research Group: Zambia-Emory HIV Research Project, Lusaka, Zambia. Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA. carlson@microsoft.com ehunte4@emory.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25013080" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Consensus Sequence ; DNA Mutational Analysis ; Disease Transmission, Infectious/statistics & numerical data ; Female ; HIV Infections/*transmission ; HIV-1/*genetics ; *Heterosexuality ; High-Throughput Nucleotide Sequencing ; Human Immunodeficiency Virus Proteins/genetics ; Humans ; Male ; Models, Statistical ; Molecular Sequence Data ; Point Mutation ; Risk Factors ; *Selection, Genetic ; Viral Load
    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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  • 2
    Publication Date: 2019
    Description: Abstract Volcanic‐Intrusive complexes often formed along lateral slab‐edges as a consequence of subduction‐induced mantle flow. We investigate this process in the southern Tyrrhenian Sea by integrating multibeam bathymetry, seismic‐reflection data, regional magnetic anomalies data, and seismological data. The interpretation of the data highlights the presence of magmatic intrusions that locally reach the seafloor forming volcanic edifices. Chimneys, lava flows, and laccoliths are observed beneath and surrounding the volcanoes. The emplacement and cooling of the magma occurred during the Brunhes Chron. The volcanoes are not active even if the hydrothermal activity occurs. The volcanic‐intrusive complex can be subdivided in a western domain (Diamante and Enotrio seamounts) where strike‐slip transpressional faults deform the volcanic edifices, and an eastern domain (Ovidio volcanic seamounts) characterized by flat‐topped volcanic edifices. The flat‐topped morphology is the result of the interplay between volcanism, erosion, sedimentation and sea‐level change. The Ovidio volcanic seamounts formed in an area that experienced at least 60 m of subsidence. Magnetic signatures over the northern side of the Ovidio and Diamante seamounts highlight the presence of a deep‐rooted, magnetized feeding system remnant. Volcanic edifices extend above a magma feeding system, characterized by low Vp/Vs ratios. The Diamante‐Enotrio‐Ovidio volcanic‐intrusive complex formed as a consequence of the ascent of subduction‐induced mantle flow originated in the northern‐western edge of the retreating Ionian slab. We speculate that the magma ascent was controlled by a strike‐slip deformation belt, which accommodated the bulk of the shear strain resulting from the formation of a roughly E‐W trending, Subduction‐Transform Edges Propagator fault.
    Print ISSN: 0278-7407
    Electronic ISSN: 1944-9194
    Topics: Geosciences
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 3
    Publication Date: 2015-11-17
    Description: Single Molecule, Real-Time (SMRT ® ) Sequencing (Pacific Biosciences, Menlo Park, CA, USA) provides the longest continuous DNA sequencing reads currently available. However, the relatively high error rate in the raw read data requires novel analysis methods to deconvolute sequences derived from complex samples. Here, we present a workflow of novel computer algorithms able to reconstruct viral variant genomes present in mixtures with an accuracy of 〉QV50. This approach relies exclusively on Continuous Long Reads (CLR), which are the raw reads generated during SMRT Sequencing. We successfully implement this workflow for simultaneous sequencing of mixtures containing up to forty different 〉9 kb HIV-1 full genomes. This was achieved using a single SMRT Cell for each mixture and desktop computing power. This novel approach opens the possibility of solving complex sequencing tasks that currently lack a solution.
    Keywords: Polymorphism/mutation detection
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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