Dissecting malaria biology and epidemiology using population genetics and genomics

被引:44
作者
Auburn, Sarah [1 ]
Barry, Alyssa E. [2 ,3 ]
机构
[1] Menzies Sch Hlth Res, Global & Trop Hlth Div, Darwin, NT, Australia
[2] Walter & Eliza Hall Inst Med Res, Div Populat Hlth & Immun, Melbourne, Vic, Australia
[3] Univ Melbourne, Dept Med Biol, Melbourne, Vic, Australia
基金
英国医学研究理事会; 英国惠康基金;
关键词
Malaria; Plasmodium; Population genetics; Population genomics; Transmission; Diversity; Control; Elimination; PLASMODIUM-VIVAX INFECTIONS; COPY NUMBER VARIATION; PAPUA-NEW-GUINEA; DRUG-RESISTANCE; MICROSATELLITE DIVERSITY; FALCIPARUM POPULATIONS; TRANSMISSION DYNAMICS; PARASITE; SELECTION; REVEALS;
D O I
10.1016/j.ijpara.2016.08.006
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Molecular approaches have an increasingly recognized utility in surveillance of malaria parasite populations, not only in defining prevalence and incidence with higher sensitivity than traditional methods, but also in monitoring local and regional parasite transmission patterns. In this review, we provide an overview of population genetic and genomic studies of human-infecting Plasmodium species, highlighting recent advances in the field. In accordance with the renewed impetus for malaria eradication, many studies are now using genetic and genomic epidemiology to support local evidence-based intervention strategies. Microsatellite genotyping remains a popular approach for both Plasmodium falciparum and Plasmodium vivax. However, with the increasing availability of whole genome sequencing data enabling effective single nucleotide polymorphism-based panels tailored to a given study question and setting, this approach is gaining popularity. The availability of new reference genomes for Plasmodium malariae and Plasmodium ovate should see a surge in similar molecular studies on these currently neglected species. Genomic studies are revealing new insights into important adaptive mechanisms of the parasite including antimalarial drug resistance. The advent of new methodologies such as selective whole genome amplification for dealing with extensive human DNA in low density field isolates should see genomewide approaches becoming routine for parasite surveillance once the economic costs outweigh the current cost benefits of targeted approaches. (C) 2016 Published by Elsevier Ltd on behalf of Australian Society for Parasitology.
引用
收藏
页码:77 / 85
页数:9
相关论文
共 111 条
  • [1] Plasmodium vivax Population Structure and Transmission Dynamics in Sabah Malaysia
    Abdullah, Noor Rain
    Barber, Bridget E.
    William, Timothy
    Norahmad, Nor Azrina
    Satsu, Umi Rubiah
    Muniandy, Prem Kumar
    Ismail, Zakiah
    Grigg, Matthew J.
    Jelip, Jenarun
    Piera, Kim
    von Seidlein, Lorenz
    Yeo, Tsin W.
    Anstey, Nicholas M.
    Price, Ric N.
    Auburn, Sarah
    [J]. PLOS ONE, 2013, 8 (12):
  • [2] Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
    Amambua-Ngwa, Alfred
    Tetteh, Kevin K. A.
    Manske, Magnus
    Gomez-Escobar, Natalia
    Stewart, Lindsay B.
    Deerhake, M. Elizabeth
    Cheeseman, Ian H.
    Newbold, Christopher I.
    Holder, Anthony A.
    Knuepfer, Ellen
    Janha, Omar
    Jallow, Muminatou
    Campino, Susana
    Maclnnis, Bronwyn
    Kwiatkowski, Dominic P.
    Conway, David J.
    [J]. PLOS GENETICS, 2012, 8 (11):
  • [3] Anderson T, 2011, PHARMACOGENOMICS, V12, P59, DOI [10.2217/pgs.10.165, 10.2217/PGS.10.165]
  • [4] Gene copy number and malaria biology
    Anderson, Tim J. C.
    Patel, Jigar
    Ferdig, Michael T.
    [J]. TRENDS IN PARASITOLOGY, 2009, 25 (07) : 336 - 343
  • [5] Microsatellite markers reveal a spectrum of population structures in the malaria parasite Plasmodium falciparum
    Anderson, TJC
    Haubold, B
    Williams, JT
    Estrada-Franco, JG
    Richardson, L
    Mollinedo, R
    Bockarie, M
    Mokili, J
    Mharakurwa, S
    French, N
    Whitworth, J
    Velez, ID
    Brockman, AH
    Nosten, F
    Ferreira, MU
    Day, KP
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2000, 17 (10) : 1467 - 1482
  • [6] Twelve microsatellite markers for characterization of Plasmodium falciparum from finger-prick blood samples
    Anderson, TJC
    Su, XZ
    Bockarie, M
    Lagog, M
    Day, KP
    [J]. PARASITOLOGY, 1999, 119 : 113 - 125
  • [7] Fragmented population structure of Plasmodium falciparum in a region of declining endemicity
    Anthony, TG
    Conway, DJ
    Cox-Singh, J
    Matusop, A
    Ratnam, S
    Shamsul, S
    Singh, B
    [J]. JOURNAL OF INFECTIOUS DISEASES, 2005, 191 (09) : 1558 - 1564
  • [8] A molecular marker of artemisinin-resistant Plasmodium falciparum malaria
    Ariey, Frederic
    Witkowski, Benoit
    Amaratunga, Chanaki
    Beghain, Johann
    Langlois, Anne-Claire
    Khim, Nimol
    Kim, Saorin
    Duru, Valentine
    Bouchier, Christiane
    Ma, Laurence
    Lim, Pharath
    Leang, Rithea
    Duong, Socheat
    Sreng, Sokunthea
    Suon, Seila
    Chuor, Char Meng
    Bout, Denis Mey
    Menard, Sandie
    Rogers, William O.
    Genton, Blaise
    Fandeur, Thierry
    Miotto, Olivo
    Ringwald, Pascal
    Le Bras, Jacques
    Berry, Antoine
    Barale, Jean-Christophe
    Fairhurst, Rick M.
    Benoit-Vical, Franoise
    Mercereau-Puijalon, Odile
    Menard, Didier
    [J]. NATURE, 2014, 505 (7481) : 50 - +
  • [9] Population genomic structure and adaptation in the zoonotic malaria parasite Plasmodium knowlesi
    Assefa, Samuel
    Lim, Caeul
    Preston, Mark D.
    Duffy, Craig W.
    Nair, Mridul B.
    Adroub, Sabir A.
    Kadir, Khamisah A.
    Goldberg, Jonathan M.
    Neafsey, Daniel E.
    Divis, Paul
    Clark, Taane G.
    Duraisingh, Manoj T.
    Conway, David J.
    Pain, Arnab
    Singh, Balbir
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (42) : 13027 - 13032
  • [10] estMOI: estimating multiplicity of infection using parasite deep sequencing data
    Assefa, Samuel A.
    Preston, Mark D.
    Campino, Susana
    Ocholla, Harold
    Sutherland, Colin J.
    Clark, Taane G.
    [J]. BIOINFORMATICS, 2014, 30 (09) : 1292 - 1294