A reference genome and methylome for the Plasmodium knowlesi A1-H.1 line
AuthorsBenavente, Ernest Diez
de Sessions, Paola Florez
Moon, Robert W.
Holder, Anthony A.
Blackman, Michael J.
Drakeley, Christopher J.
Sutherland, Colin J.
Hibberd, Martin L.
Clark, Taane G.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/626402
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AbstractPlasmodium knowlesi, a common parasite of macaques, is recognized as a significant cause of human malaria in Malaysia. The P. knowlesi A1H1 line has been adapted to continuous culture in human erythrocytes, successfully providing an in vitro model to study the parasite. We have assembled a reference genome for the PkA1-H.1 line using PacBio long read combined with Illumina short read sequence data. Compared with the H-strain reference, the new reference has improved genome coverage and a novel description of methylation sites. The PkA1-H.1 reference will enhance the capabilities of the in vitro model to improve the understanding of P. knowlesi infection in humans.
CitationBenavente ED, de Sessions PF, Moon RW, Grainger M, Holder AA, et al. (2017) A reference genome and methylome for the Plasmodium knowlesi A1-H.1 line. International Journal for Parasitology. Available: http://dx.doi.org/10.1016/j.ijpara.2017.09.008.
SponsorsTGC is funded by the Medical Research Council (MRC), UK (Grant no. MR/K000551/1, MR/M01360X/1, MR/N010469/1). SC and CR are funded by the MRC (Grant no. MR/M01360X/1). RWM is supported by an MRC Career Development Award jointly funded by the MRC and UK Department for International Development. This work was supported in part by the Francis Crick Institute, UK which receives its core funding from Cancer Research, UK (FC001097, FC001043), the MRC (FC001097, FC001043), and the Wellcome Trust, UK (FC001097, FC001043) We gratefully acknowledge the Scientific Computing Group for data management and computer infrastructure at Genome Institute of Singapore for their help. Bioinformatic analysis was performed on the MRC, UK, funded eMedLab computing resource.
Except where otherwise noted, this item's license is described as © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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