bioRxiv preprint doi: https://doi.org/10.1101/332072; this version posted June 4, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 Identification and quantification of Lyme pathogen strains by deep 2 sequencing of outer surface protein C (ospC) amplicons 3 Lia Di1, Zhenmao Wan2, Saymon Akther2, Chunxiao Ying1, Amanda Larracuente2, Li Li2, Chong 4 Di1, Roy Nunez1, D. Moses Cucura3, Noel L. Goddard1,2, Konstantino Krampis1,2,4, and Wei-Gang 5 Qiu1,2,4,# 6 1Department of Biological Sciences, Hunter College of the City University of New York, 695 Park 7 Avenue, New York 10065, USA 8 2Graduate Center of the City University of New York, 365 Fifth Avenue, New York 10016, USA 9 3Division of Vector Control, Suffolk County Department of Public Works, Yaphank, New York 10 11980, USA 11 4Department of Physiology and Biophysics & Institute for Computational Biomedicine, Weil 12 Cornell Medical College, New York, New York 10021, USA 13 #Correspondence: Weigang Qiu,
[email protected] 14 Authors’ emails & project roles: 15 Lia Di
[email protected]: Methodology, Investigation, Data Curation, Software, Visualization 16 Zhenmao Wan
[email protected]: Methodology, Investigation, Writing (original draft) 17 Saymon Akther
[email protected]: Methodology, Investigation, Resources 18 Chunxiao Ying
[email protected]: Investigation 19 Amanda Larracuente
[email protected]: Investigation 20 Li Li
[email protected]: Resources, Investigation 21 Chong Di
[email protected]: Resources, Visualization 22 Roy Nunez
[email protected]: Resources 23 D.