title: Exploring biotic interactions within protist cell populations using network methods.
abstract: The study of diseased human cells and of cells isolated from the natural environment will likely be revolutionized by single cell genomics (SCG). Here, we used protein similarity networks to explore within- and between-cell DNA differences from SCG data derived from six individual rhizarian cells related to Paulinella ovalis and proteins from the complete genome of another rhizarian, Bigelowiella natans. We identified shared and distinct DNA components within our SCG data and between P. ovalis and B. natans. We show that network properties such as assortativity and degree effectively discriminate genome features between SCG assemblies and that SCG data follow the power law with a small number of protein families dominating networks.
authors.affiliation: Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, New Jersey, 08901, USA.
authors.forename: Shu
authors.initials: S
authors.lastname: Cheng
authors.forename: Dana C
authors.initials: DC
authors.lastname: Price
authors.forename: Slim
authors.initials: S
authors.lastname: Karkar
authors.forename: Debashish
authors.initials: D
authors.lastname: Bhattacharya
mesh_terms: D056907:Cercozoa / Q000235:genetics / Q000378:metabolism; D056890:Eukaryota / Q000235:genetics / Q000378:metabolism*; D016678:Genome / Q000235:genetics; D023281:Genomics
keywords: Assortativity; Bigelowiella natans; Paulinella ovalis; network analysis; scale-free network; single cell genomics