A rapid and cost-effective quantitative microsatellite genotyping protocol to estimate intraspecific competition in protist microcosm experiments

Ewan J. A. Minter*, Chris D. Lowe, Michael A. Brockhurst, Phillip C. Watts

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

High levels of intraspecific variation are commonly observed in natural microbial populations, yet the consequences of this variation for ecological and evolutionary processes remain poorly understood. Protists are excellent experimental models for investigating fundamental and applied questions in ecology and evolution, but studying intraspecific variation remains a challenge due to a lack of molecular resources to aid in quantifying and distinguishing strains during experiments. Here we present a molecular method, quantitative microsatellite genotyping, to accurately quantify strain-specific frequencies from microcosm experiments of the marine flagellate Oxyrrhis marina, both between many pairs of strains and between strains in a multistrain mixture. We find that for pairs of strains, the method is effective for relative frequencies as low as 0·02 and with around 99% accuracy. The method is able to quantify four strains reasonably well, though less accurate than for pairs (range 92-97% accuracy). This makes accessible a cheap and easy-to-implement method for quantifying strain (or allele) frequencies and is suitable for use in a broad range of single-celled eukaryotes (protists) where copy number should correlate well with number of individuals (i.e. cells). This opens up the possibility of examining the role of intraspecific variation using experimental protist microcosms.

Original languageEnglish
Pages (from-to)315-323
Number of pages9
JournalMethods in ecology and evolution
Volume6
Issue number3
Early online date26 Dec 2014
DOIs
Publication statusPublished - Mar 2015

Keywords

  • Oxyrrhis
  • Competition
  • Experiments
  • Frequency
  • Intraspecific
  • Microsatellites
  • Molecular assay
  • Selection

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