Power Law Rank–abundance Models for Marine Phage Communities

  • Karl Heinz Karl
  • , Beltran Rodriguez-Brito
  • , Mya Breitbart
  • , David Bangor
  • , Florent Angly
  • , Ben Felts
  • , James Nulton
  • , Forest Rohwer
  • , Peter Salamon

Research output: Contribution to journalArticlepeer-review

Abstract

Metagenomic analyses suggest that the rank–abundance curve for marine phage communities follows a power law distribution. A new type of power law dependence based on a simple model in which a modified version of Lotka–Volterra predator–prey dynamics is sampled uniformly in time is presented. Biologically, the model embodies a kill the winner hypothesis and a neutral evolution hypothesis. The model can match observed power law distributions and uses very few parameters that are readily identifiable and characterize phage ecosystems. The model makes new untested predictions: (1) it is unlikely that the most abundant phage genotype will be the same at different time points and (2) the long-term decay of isolated phage populations follows a power law.

Original languageAmerican English
JournalFEMS Microbiology Letters
Volume273
DOIs
StatePublished - Jan 1 2007

Keywords

  • power law
  • kill the winner
  • neutral evolution
  • metagenomics
  • rank–abundance
  • generalized Lotka–Volterra

Disciplines

  • Life Sciences

Cite this