949 resultados para maximum electron transport rate (ETRmax)
Resumo:
Sediments off northwest Africa were assayed for activities of the respiratory electron transport system (ETS) and for primary amino nitrogen. ETS activities were used to compute respiratory oxygen consuption, carbon oxidation, and nitrate reduction rates. Activities were correlated with depth of the water column, and their longshore distribution resembled that of euphotic zone phytoplankton productivity. Protein concentrations were closely correlated with ETS activities. Carbon biomass was calculated from protein and compared with other computed values. The carbon oxidation rate accounted for 13 % of the region's primary production.
Resumo:
With each cellular generation, oxygenic photoautotrophs must accumulate abundant protein complexes that mediate light capture, photosynthetic electron transport and carbon fixation. In addition to this net synthesis, oxygenic photoautotrophs must counter the light-dependent photoinactivation of Photosystem II (PSII), using metabolically expensive proteolysis, disassembly, resynthesis and re-assembly of protein subunits. We used growth rates, elemental analyses and protein quantitations to estimate the nitrogen (N) metabolism costs to both accumulate the photosynthetic system and to maintain PSII function in the diatom Thalassiosira pseudonana, growing at two pCO2 levels across a range of light levels. The photosynthetic system contains c. 15-25% of total cellular N. Under low growth light, N (re)cycling through PSII repair is only c. 1% of the cellular N assimilation rate. As growth light increases to inhibitory levels, N metabolite cycling through PSII repair increases to c. 14% of the cellular N assimilation rate. Cells growing under the assumed future 750 ppmv pCO2 show higher growth rates under optimal light, coinciding with a lowered N metabolic cost to maintain photosynthesis, but then suffer greater photoinhibition of growth under excess light, coincident with rising costs to maintain photosynthesis. We predict this quantitative trait response to light will vary across taxa.