Combined resistance to oxidative stress and reduced antenna size enhance light-to-biomass conversion efficiency in Chlorella vulgaris cultures View Full Text


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Article Info

DATE

2019-09-16

AUTHORS

Luca Dall’Osto, Stefano Cazzaniga, Zeno Guardini, Simone Barera, Manuel Benedetti, Giuseppe Mannino, Massimo E. Maffei, Roberto Bassi

ABSTRACT

BackgroundMicroalgae are efficient producers of lipid-rich biomass, making them a key component in developing a sustainable energy source, and an alternative to fossil fuels. Chlorella species are of special interest because of their fast growth rate in photobioreactors. However, biological constraints still cast a significant gap between the high cost of biofuel and cheap oil, thus hampering perspective of producing CO2-neutral biofuels. A key issue is the inefficient use of light caused by its uneven distribution in the culture that generates photoinhibition of the surface-exposed cells and darkening of the inner layers. Efficient biofuel production, thus, requires domestication, including traits which reduce optical density of cultures and enhance photoprotection.ResultsWe applied two steps of mutagenesis and phenotypic selection to the microalga Chlorella vulgaris. First, a pale-green mutant (PG-14) was selected, with a 50% reduction of both chlorophyll content per cell and LHCII complement per PSII, with respect to WT. PG-14 showed a 30% increased photon conversion into biomass efficiency vs. WT. A second step of mutagenesis of PG-14, followed by selection for higher tolerance to Rose Bengal, led to the isolation of pale-green genotypes, exhibiting higher resistance to singlet oxygen (strains SOR). Growth in photobioreactors under high light conditions showed an enhanced biomass production of SOR strains with respect to PG-14. When compared to WT strain, biomass yield of the pale green + sor genotype was enhanced by 68%.ConclusionsDomestication of microalgae like Chlorella vulgaris, by optimizing both light distribution and ROS resistance, yielded an enhanced carbon assimilation rate in photobioreactor. More... »

PAGES

221

References to SciGraph publications

  • 2003-02-12. tla1, a DNA insertional transformant of the green alga Chlamydomonas reinhardtii with a truncated light-harvesting chlorophyll antenna size in PLANTA
  • 2008-07-03. Biomass Productivities in Wild Type and Pigment Mutant of Cyclotella sp. (Diatom) in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2004-12-01. The complex architecture of oxygenic photosynthesis in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 2013-04-18. Light harvesting in photosystem II in PHOTOSYNTHESIS RESEARCH
  • 2009-08-19. Function and regulation of the glutathione peroxidase homologous gene GPXH/GPX5 in Chlamydomonas reinhardtii in PLANT MOLECULAR BIOLOGY
  • 2014-09-20. Photoprotective Mechanisms: Carotenoids in PLASTID BIOLOGY
  • 2009-11. An ancient light-harvesting protein is critical for the regulation of algal photosynthesis in NATURE
  • 2010-09-30. Stress-Induced Changes in Optical Properties, Pigment and Fatty Acid Content of Nannochloropsis sp.: Implications for Non-destructive Assay of Total Fatty Acids in MARINE BIOTECHNOLOGY
  • 2009-10-08. Theoretical Maximum Algal Oil Production in BIOENERGY RESEARCH
  • 2008-09-09. Singlet oxygen production in photosystem II and related protection mechanism in PHOTOSYNTHESIS RESEARCH
  • 2014-10-21. Domestication of the green alga Chlorella sorokiniana: reduction of antenna size improves light-use efficiency in a photobioreactor in BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS
  • 2018-11-10. Biomass from microalgae: the potential of domestication towards sustainable biofactories in MICROBIAL CELL FACTORIES
  • 2015-09-25. Generation of random mutants to improve light-use efficiency of Nannochloropsis gaditana cultures for biofuel production in BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS
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    http://scigraph.springernature.com/pub.10.1186/s13068-019-1566-9

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    http://dx.doi.org/10.1186/s13068-019-1566-9

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31534480


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