Literature DB >> 15341640

Genetic mapping in the human malaria parasite Plasmodium falciparum.

Xin-zhuan Su1, John C Wootton.   

Abstract

The Plasmodium falciparum genome sequence has boosted hopes for a new era of malaria research and for the application of comprehensive molecular knowledge to disease control, but formidable obstacles remain: approximately 60% of the predicted P. falciparum proteins have no known functions or homologues, and most life cycle stages of this haploid eukaryotic parasite are relatively intractable to cultivation and biochemical manipulation. Genetic mapping based on high-resolution maps saturated with single-nucleotide polymorphisms or microsatellites is now providing effective strategies for discovering candidate genes determining important parasite phenotypes. Here we review classical linkage studies using laboratory crosses and population associations that are now amenable to genome-wide approaches and are revealing multiple candidate genes involved in complex drug responses. Moreover, mapping by linkage disequilibrium is practicable in cases where chromosomal segments flanking drug-selected genes have been preserved in populations during relatively recent P. falciparum evolution. We discuss the advantages and limitations of these various genetic mapping strategies, results from which offer complementary insights to those emerging from gene knockout experiments and/or high-throughput genomic technologies.

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Year:  2004        PMID: 15341640     DOI: 10.1111/j.1365-2958.2004.04270.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  15 in total

Review 1.  Drug resistance and genetic mapping in Plasmodium falciparum.

Authors:  Karen Hayton; Xin-Zhuan Su
Journal:  Curr Genet       Date:  2008-09-18       Impact factor: 3.886

2.  Development and characterization of microsatellite markers for the canine hookworm, Ancylostoma caninum.

Authors:  J M Schwenkenbecher; R M Kaplan
Journal:  Parasitol Res       Date:  2006-11-29       Impact factor: 2.289

Review 3.  Genetic mapping of determinants in drug resistance, virulence, disease susceptibility, and interaction of host-rodent malaria parasites.

Authors:  Xin-Zhuan Su; Jian Wu; Fangzheng Xu; Sittiporn Pattaradilokrat
Journal:  Parasitol Int       Date:  2022-08-01       Impact factor: 2.106

Review 4.  Watch out for malaria: still a leading cause of child death worldwide.

Authors:  Danilo Buonsenso; Luigi Cataldi
Journal:  Ital J Pediatr       Date:  2010-09-09       Impact factor: 2.638

5.  Distinct genomic architecture of Plasmodium falciparum populations from South Asia.

Authors:  Shiva Kumar; Devaraja G Mudeppa; Ambika Sharma; Anjali Mascarenhas; Rashmi Dash; Ligia Pereira; Riaz Basha Shaik; Jennifer N Maki; John White; Wenyun Zuo; Shripad Tuljapurkar; Manoj T Duraisingh; Edwin Gomes; Laura Chery; Pradipsinh K Rathod
Journal:  Mol Biochem Parasitol       Date:  2016-07-22       Impact factor: 1.759

Review 6.  Large-scale genotyping and genetic mapping in Plasmodium parasites.

Authors:  Xin-Zhuan Su; Hongying Jiang; Ming Yi; Jianbing Mu; Robert M Stephens
Journal:  Korean J Parasitol       Date:  2009-05-26       Impact factor: 1.341

Review 7.  Discovery, mechanisms of action and combination therapy of artemisinin.

Authors:  Liwang Cui; Xin-zhuan Su
Journal:  Expert Rev Anti Infect Ther       Date:  2009-10       Impact factor: 5.091

8.  The landscape of inherited and de novo copy number variants in a Plasmodium falciparum genetic cross.

Authors:  Upeka Samarakoon; Joseph M Gonzales; Jigar J Patel; Asako Tan; Lisa Checkley; Michael T Ferdig
Journal:  BMC Genomics       Date:  2011-09-22       Impact factor: 3.969

9.  Genetic mapping of targets mediating differential chemical phenotypes in Plasmodium falciparum.

Authors:  Jing Yuan; Ronald L Johnson; Ruili Huang; Jennifer Wichterman; Hongying Jiang; Karen Hayton; David A Fidock; Thomas E Wellems; James Inglese; Christopher P Austin; Xin-zhuan Su
Journal:  Nat Chem Biol       Date:  2009-09-06       Impact factor: 15.040

10.  Graph theoretical approach to study eQTL: a case study of Plasmodium falciparum.

Authors:  Yang Huang; Stefan Wuchty; Michael T Ferdig; Teresa M Przytycka
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

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