63
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Plasmodium malariae and P. ovale genomes provide insights into malaria parasite evolution

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Elucidation of the evolutionary history and interrelatedness of Plasmodium species that infect humans has been hampered by a lack of genetic information for three human-infective species: P. malariae and two P. ovale species ( P. o. curtisi and P. o. wallikeri) 1. These species are prevalent across most regions in which malaria is endemic 2, 3 and are often undetectable by light microscopy 4, rendering their study in human populations difficult 5. The exact evolutionary relationship of these species to the other human-infective species has been contested 6, 7. Using a new reference genome for P. malariae and a manually curated draft P. o. curtisi genome, we are now able to accurately place these species within the Plasmodium phylogeny. Sequencing of a P. malariae relative that infects chimpanzees reveals similar signatures of selection in the P. malariae lineage to another Plasmodium lineage shown to be capable of colonization of both human and chimpanzee hosts. Molecular dating suggests that these host adaptations occurred over similar evolutionary timescales. In addition to the core genome that is conserved between species, differences in gene content can be linked to their specific biology. The genome suggests that P. malariae expresses a family of heterodimeric proteins on its surface that have structural similarities to a protein crucial for invasion of red blood cells. The data presented here provide insight into the evolution of the Plasmodium genus as a whole.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: found
          • Article: not found

          Streaming fragment assignment for real-time analysis of sequencing experiments

          We present eXpress, a software package for highly efficient probabilistic assignment of ambiguously mapping sequenced fragments. eXpress uses a streaming algorithm with linear run time and constant memory use. It can determine abundances of sequenced molecules in real time, and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data. We demonstrate its use on RNA-seq data, showing greater efficiency than other quantification methods.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Comparative genomics of the neglected human malaria parasite Plasmodium vivax.

            The human malaria parasite Plasmodium vivax is responsible for 25-40% of the approximately 515 million annual cases of malaria worldwide. Although seldom fatal, the parasite elicits severe and incapacitating clinical symptoms and often causes relapses months after a primary infection has cleared. Despite its importance as a major human pathogen, P. vivax is little studied because it cannot be propagated continuously in the laboratory except in non-human primates. We sequenced the genome of P. vivax to shed light on its distinctive biological features, and as a means to drive development of new drugs and vaccines. Here we describe the synteny and isochore structure of P. vivax chromosomes, and show that the parasite resembles other malaria parasites in gene content and metabolic potential, but possesses novel gene families and potential alternative invasion pathways not recognized previously. Completion of the P. vivax genome provides the scientific community with a valuable resource that can be used to advance investigation into this neglected species.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Bayesian inference of ancient human demography from individual genome sequences

              Besides their value for biomedicine, individual genome sequences are a rich source of information about human evolution. Here we describe an effort to estimate key evolutionary parameters from sequences for six individuals from diverse human populations. We use a Bayesian, coalescent-based approach to extract information about ancestral population sizes, divergence times, and migration rates from inferred genealogies at many neutrally evolving loci from across the genome. We introduce new methods for accommodating gene flow between populations and integrating over possible phasings of diploid genotypes. We also describe a custom pipeline for genotype inference to mitigate biases from heterogeneous sequencing technologies and coverage levels. Our analysis indicates that the San of Southern Africa diverged from other human populations 108–157 thousand years ago (kya), that Eurasians diverged from an ancestral African population 38–64 kya, and that the effective population size of the ancestors of all modern humans was ~9,000.
                Bookmark

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                20 February 2017
                25 January 2017
                02 February 2017
                25 February 2017
                : 542
                : 7639
                : 101-104
                Affiliations
                [1 ]Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
                [2 ]Malaria Research and Training Center, University of Science, Techniques, and Technologies of Bamako, Bamako, BP E.2528, Mali
                [3 ]German Center for Infection Research, 20359 Hamburg, Germany
                [4 ]University of Buea, Post Office Box 63, Buea, South West Region, Republic of Cameroon
                [5 ]Navrongo Health Research Centre, Post Office Box 114, Navrongo, Upper East Region, Ghana
                [6 ]Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA
                [7 ]Laboratoire MIVEGEC (UM1-CNRS-IRD), 34394 Montpellier, France
                [8 ]Centre International de Recherches Médicales de Franceville, BP 709 Franceville, Gabon
                [9 ]Global and Tropical Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory 0810, Australia
                [10 ]Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7LJ, UK
                [11 ]Clinical Tropical Medicine Laboratory, QIMR Berghofer Medical Research Institute, University of Queensland, Brisbane, Queensland 4006, Australia
                [12 ]Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
                [13 ]Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
                Author notes
                Correspondence and requests for materials should be addressed to M.B. ( mb4@ 123456sanger.ac.uk ) or T.D.O. ( tdo@ 123456sanger.ac.uk ).
                Article
                EMS71595
                10.1038/nature21038
                5326575
                28117441
                9f973e8f-4dfa-43f3-896d-b25773bfd1c8

                This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons licence, users will need to obtain permission from the licence holder to reproduce the material. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article