John A. Raven and John Beardall
CONTENTS
1.1 Introduction
1.2 Photon Harvesting and Transfer to Reaction Centers
1.3 Photochemistry and Downstream Reactions in the Thylakoid Membrane Leading to the Production of NADPH, ATP, and Oxygen
1.4 CO2 Assimilation Using the BensonāCalvin Cycle: Apparent Inefficiencies and the Means of Countering Them
1.5 Assimilation of Other Resources Needed for Photolithotrophic Growth
1.6 Loss of Reduced Carbon Related to Growth and Maintenance
1.7 Conclusions
Acknowledgments
References
1.1 Introduction
Algae, herein referring to microalgae including cyanobacteria, occur in almost all environments, exhibiting a wide range of specific growth rates and productivities. The diversity of algae includes genotypes that can, through evolution, grow over large ranges of mean and extreme values of flux in photosynthetically active radiation (PAR) of both low and high concentration of dissolved nutrients and of wide ranges in temperature (Raven and Geider 2003). They can also deal with the influences of both abiotic factors, such as salinity and mixing in the water column, and biotic factors, such as grazers and parasites/parasitoids, including viruses (Falkowski and Raven 2007). Biotechnological applications require algae adapt to the light, nutrient, and temperature conditions in the cultivation system, allowing relatively high growth rates of individual cells and overall high culture productivity. In addition, such biotechnological processes must yield the desired outputs, from oils for use as fuels to nutritional supplements, such as carotenoids, polysaccharides, and other cell wall components and even the whole organisms as biomass for use in feed and food. The need for high culture productivities as well as the desired product composition and quality imposes significant limitations on the algal species and strains to be cultivated (Borowitzka 2013; Raven and Ralph 2015).
Within the range of genetically determined attributes of microalgae, there is considerable phylogenetic variation, for example, in light-harvesting and photoprotective pigments and in biomass composition. The genetic potential extends also to determining the extent of phenotypic acclimation to variations in environmental conditions on timescales similar to, or less than, the relatively short generation time of these organisms, from a few hours to days. Organisms isolated from a natural environment and placed in a production system will respond both genotypically, through selection of new more competitive variant strains (adaptation), and phenotypically, by physiological acclimation to such novel environments for optimal utilization of limiting resources (Rosen 1967). However, such selection and acclimation might not be appropriate for biotechnological applications, where the goal is to maximize production either of biomass or of selected cell constituents, such as oils, carotenoids, and polysaccharides. Isolation and screening for particular strains from nature, followed by genetic selection under the cultivation process and by genetic modification, could help to achieve these biotechnological goals to produce the desired products in large amounts and at high productivity. In addition to the cultivation process, the algal biomass must also be harvested, dried, or processed to extract the products of interest and the culture media and unused nutrients recycled, for such a process to be as self-contained as possible (Borowitzka 2013; Raven and Ralph 2015).
To produce specific products, such as oils from microalgae, maximizing the production rate of oil involves minimizing the biomass allocated to all other functions while maintaining or increasing carbon assimilation rates for biomass increase, especially oil production. This requirement underpins the following discussion of algal physiology and photosynthesis, bearing in mind that pathways that achieve a high overall conversion of substrate to product frequently also exhibit lower energetic efficiencies (Odum and Pinkerton 1955; Raven 1984a,b; Bar-Even et al. 2010, 2011, 2012; Fabris et al. 2012; Beardall and Raven 2013; Flamholz et al. 2013; Raven and Ralph 2015). To achieve a āminimum allocationā of energy and other resources to the production of biomass other than the desired product involves a greater energy input in operating the pathways that produce the desired product (e.g., lipids, etc.). Balancing the requirements for catalytic biomass and product formation is a key issue addressed herein, and photon energy harvesting and transformation is the starting point in such a discussion.
1.2 Photon Harvesting and Transfer to Reaction Centers
The absorption of photons in photosynthesis involves pigments (chromophores) bound to specific apoproteins in light-harvesting pigment complexes. These apoproteins alter the absorption properties of the chromophores compared to their free state and facilitate the very high efficiency of absorbed photon excitation energy (exciton) transfer to, ultimately, a reaction center pigment complex, where the transformation of exciton energy into chemical energy takes place. Note that the reaction centers absorb photons at somewhat longer wavelengths than the light-harvesting pigment complexes; this is necessary for the efficient transfer of exciton energy from light harvesting to reaction center complexes (Falkowski and Raven 2007; Raven et al. 2013, 2014; Raven and Ralph 2015). In all oxygenic photosynthetic organisms (except the cyanobacterium Acaryochloris and its relatives, which use chlorophyll d), reaction centers use the red absorption peak of chlorophyll a at 680 nm in photosystem II (PSII) and at 700 nm in photosystem I (PSI).
The range of light-harvesting pigments (Table 1.1) covers the entire visible spectrum. Table 1.1 also shows that there is variation in the specific absorption coefficients of the pigments, which indicates the rate of absorption of photons at a given incident photon flux density at the relevant absorption maximum. Integrating the specific absorption coefficient over the entire absorption spectrum of the pigment allows calculation of its effectiveness in absorbing photons and the photons required for synthesizing the pigmentāapoprotein complex. Such calculations show that a dominant factor in variations in resource costs (i.e., energy, nitrogen in protein and, through the need for RNA in protein synthesis, phosphorus) of photon absorption is the quantity of apoprotein associated with each molecule of the pigment (Table 1.1) (Raven 1984a,b, 2013a,b; Raven et al. 2013). The apoproteins of light-harvesting pigmentāprotein complexes can be the most abundant proteins in photosynthetic cells acclimated and/or adapted to low PAR levels (Table 1.1) (Raven 1984a,b; Raven et al. 2013; Raven and Ralph 2015).
A diversity of light-harvesting pigments allows complete coverage of the 400ā700 nm wavelength range, and altering their relative quantities would adjust the absorption spectrum of the organism to that of the incident light quality. The argument as to the utility of a great diversity of pigments applies most clearly to very small cells where there is a minimal self-shading in individual algal cells (the package effect) and the absorption properties of pigmentāapoproteins are distinctly shown (Raven 1984a,b, 1994, 1996). Larger cells have more pigments in the optical path through the cell, so there is a larger package effect, resulting in reduced impact of individual pigment species on the overall absorption spectrum than in smaller cells. This argument applies to individual cells and thus is amenable to natural selection for best adaptation to different light quality.
TABLE 1.1
Range of Specific Absorption Coefficients of the Chromophores and the Mass of Apoproteins per mol Photosynthetic Chromophore, of Oxygenic Photosynthetic Organisms and the Range of Photosynthetic Chromophore Apoproteins as a Fraction of Total Cell Protein of Microalgae
Metric | Value and Units | References |
Mean (400ā700 nm) specific absorption coefficient of photosynthetic chromophores | 1212ā3367 m2 molā1 chromophore | Raven (1984a) |
Mass of apoprotein per mol photosynthetic chromophore | 2.0ā15.7 kg protein per mol chromophore | Raven (1984a) |
Mass of apoprotein of photosynthetic ch... |