OOS 33-3
Theoretical modeling C- and N- acquiring exoenzyme activities to balance microbial demands during decomposition
We seek to estimate the allocation of extracellular enzymes by decomposer microorganisms between three general classes of enzymes: one that oxidizes polyphenolic compounds (C3≈lignin), one that hydrolyzes polysaccharides (C2≈holocellulose) and one that hydrolyzes N-containing substrates (C1, e.g., proteins). Our central assumptions are that allocation (1) maximizes total C-yield from C2-C3 complexes (lignocellulose) while (2) simultaneously matching C and N requirements for microbial growth. We then estimate allocation over a range of litter qualities, represented by lignocellulose index (LCI = C3/[C2+C3]) values from 0 to a theoretical maximum of LCImax, and for different quantities of total nitrogen content (i.e., proportional to C1). Reverse Michaelis-Menten (RMM) equations estimate the proportional allocation of the total extracellular enzymes (ET) to oxidative (E3) and hydrolytic (E2 and E1) pools (ET=E1+E2+E3) necessary to achieve these decay rates, i.e., dCi/dt = Vmaxi·Ei/(KEi+Ei). This is done by first setting E2=ß·(E2+E3) and E3=(1-ß)·(E2+E3), and solving for ß to maximize C-yield from dC2/dt+dC3/dt. Then we set E1=ø·(E1+ß·(E2+E3)) and E2=(1-ø)·(E1+ß·(E2+E3)), and solve for ø to match C-yield from dC1/dt+dC2/dt+dC3/dt to N-yield from dC1/dt, given the C:N content of C1.
Results/Conclusions
The resulting model is consistent with generally reported patterns of enzyme activity concomitant with litter quality. For example, E3 > 0 only when the net yield of assimilable C from dC2/dt+dC3/dt > the yield from dC2/dt, alone. It also demonstrates that relative N-availability associated with C1 (and presumably as mineral N) can reduce both E2 and E3 with respect to the balance of realized C-yield from lignocellulose decay. In other words, available N can inhibit lignin decay by shifting enzyme allocation to maximize overall carbon use efficiency, potentially mineralizing N from C1 even if C2 is available in C2-C3 complexes. However, this mineralization threshold varies with the sizes and relative assimlation efficiencies of the substrate pools, ET, and CN ratios of substrates and microorganisms.