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Exploring Biotic Interactions Within Protist Cell Populations Using Network Methods
Author(s) -
Cheng Shu,
Price Dana C.,
Karkar Slim,
Bhattacharya Debashish
Publication year - 2014
Publication title -
journal of eukaryotic microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.067
H-Index - 77
eISSN - 1550-7408
pISSN - 1066-5234
DOI - 10.1111/jeu.12113
Subject(s) - biology , genome , assortativity , protist , computational biology , genomics , genomic organization , genetics , evolutionary biology , gene , complex network , world wide web , computer science
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.