Journal article

Long-read assembly and comparative evidence-based reanalysis of Cryptosporidium genome sequences reveal expanded transporter repertoire and duplication of entire chromosome ends including subtelomeric regions

Rodrigo P Baptista, Yiran Li, Adam Sateriale, Mandy J Sanders, Karen L Brooks, Alan Tracey, Brendan RE Ansell, Aaron R Jex, Garrett W Cooper, Ethan D Smith, Rui Xiao, Jennifer E Dumaine, Peter Georgeson, Bernard J Pope, Matthew Berriman, Boris Striepen, James A Cotton, Jessica C Kissinger

GENOME RESEARCH | COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT | Published : 2022

Abstract

Cryptosporidiosis is a leading cause of waterborne diarrheal disease globally and an important contributor to mortality in infants and the immunosuppressed. Despite its importance, the Cryptosporidium community has only had access to a good, but incomplete, Cryptosporidium parvum IOWA reference genome sequence. Incomplete reference sequences hamper annotation, experimental design, and interpretation. We have generated a new C. parvum IOWA genome assembly supported by Pacific Biosciences (PacBio) and Oxford Nanopore long-read technologies and a new comparative and consistent genome annotation for three closely related species: C. parvum, Cryptosporidium hominis, and Cryptosporidium tyzzeri We..

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Grants

Awarded by Bill and Melinda Gates Foundation


Awarded by The Wellcome Trust


Awarded by The National Health and Medical Research Council Investigator Grant


Awarded by National Institutes of Health (NIH)


Awarded by NIH


Funding Acknowledgements

y We thank Dr. Lihua Xiao for sharing C. hominis 30976 and permitting us to update the annotation. This work was supported by Bill and Melinda Gates Foundation grant OPP1151701 to J.C.K., The Wellcome Trust via its core funding of the Wellcome Sanger Institute (grant WT206194), The National Health and Medical Research Council Investigator Grant (APP1194330) to A.R.J., and National Institutes of Health (NIH) R01AI127798 and R01AI112427 to B.S. J.E.D. was supported by NIH T32AI007532 and A.S. by NIH K99AI137442.