The economic viability
of biofuels and bioproducts depends on system-level
optimization including biomass production and conversion. Hydrothermal
liquefaction (HTL) can convert wet biomass such as microalgae into
a biofuel intermediate (BFI) under elevated temperatures and pressure.
An understanding of the impacts of biomass composition on BFI yield
and quality can inform genetic engineering strategies in the improvement
of biochemical composition for biofuel production. In this work, wild
type cyanobacterium Synechocystis sp.
PCC 6803 biomass was doped with various common cellular storage compounds
in lab-scale HTL experiments. Doping with glycogen or polyhydroxybutyrate
(PHB) significantly reduced BFI yields, while doping with triglycerides
(TAG) or medium chain-length polyhydroxyalkanoate (mcl-PHA) increased BFI yield and quality. In light of these observations,
a genetically engineered Synechocystis strain deficient in glycogen biosynthesis was cultivated to produce
biomass for HTL, leading to a 17% increase in BFI yield. In addition,
we built a multiphase component additivity (MCA) model that can predict
BFI yield and quality with PHAs in the biomass. This work demonstrates
an effective strategy to integrate strain development with downstream
biomass conversion to maximize biofuel yield, with lessons applicable
to microalgae as well as other biomass.