High-throughput screen for high performance microalgae strain selection and integrated media design

Wolf, Juliane, Ross, Ian L., Radzun, Khairul Adzfa, Jakob, Gisela, Stephens, Evan and Hankamer, Ben (2015) High-throughput screen for high performance microalgae strain selection and integrated media design. Algal Research, 11 313-325. doi:10.1016/j.algal.2015.07.005


Author Wolf, Juliane
Ross, Ian L.
Radzun, Khairul Adzfa
Jakob, Gisela
Stephens, Evan
Hankamer, Ben
Title High-throughput screen for high performance microalgae strain selection and integrated media design
Journal name Algal Research   Check publisher's open access policy
ISSN 2211-9264
Publication date 2015-09-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.algal.2015.07.005
Open Access Status Not Open Access
Volume 11
Start page 313
End page 325
Total pages 13
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2016
Language eng
Formatted abstract
Microalgae provide a powerful biotechnology platform for the production of renewable fuels, animal-feeds and high-value products. Here, a new high-throughput nutrient optimisation screen was used to maximise photoautotrophic growth rates for 100 newly bio-prospected microalgae isolates. The multidimensional statistical design enabled the optimisation of 12 critical nutrients (N, P, Ca, Mg, Fe, Cu, Mn, Zn, B, Se, V and Si) and identified the highest specific-growth rates, elemental main-effects (Ca, Mg and Zn accounted for 71% of all main effects under photoautotrophic conditions) and pair-wise nutrient interactions (e.g. Ca–Mg, Mg–Zn, B–Zn, B–Se, Mn–Zn and Zn–Si) for each of the 100 strains tested (25,100 trials, over 2000-fold data-compression compared to a full factorial design) as well as their ability to use different carbon sources. Photoautotrophic growth rates reaching 0.067 h− 1 (0.289 h− 1 at microwell plate scale) and 2.78 g L− 1 (batch cultivation in flasks) are amongst the highest reported, promoting the capacity for a high-throughput optimisation of microalgae production processes using established and newly bio-prospected strains.
Keyword Biomass
Growth rate
Multidimensional statistical screen
Pairwise nutrient interaction
Phototrophic cultivation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
Institute for Molecular Bioscience - Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 20 Oct 2015, 12:37:54 EST by System User on behalf of Scholarly Communication and Digitisation Service