Exploring Biotic Interactions Within Protist Cell Populations Using Network Methods. (16th May 2014)

• Record Type: Journal Article
• Authors: Cheng, Shu; Price, Dana C.; Karkar, Slim; Bhattacharya, Debashish
• Is Part Of: Journal of eukaryotic microbiology. Volume 61:Number 4(2014:Jul./Aug.)
• Page Start: 399
• Page End: 403
• Publication Date: 2014-05-16
• Subjects: Protista -- Periodicals; Eukaryotic cells -- Periodicals; Microbiology -- Periodicals; 579.05
• DOI: 10.1111/jeu.12113
• Languages: English
• ISSNs: 1066-5234

Abstract

<abstract abstract-type="main" id="jeu12113-abs-0001"> <title>Abstract</title> <p>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 <italic>Paulinella ovalis</italic> and proteins from the complete genome of another rhizarian, <italic>Bigelowiella natans</italic>. We identified shared and distinct DNA components within our SCG data and between <italic>P. ovalis</italic> and <italic>B. natans</italic>. 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.</p> </abstract>