Journal of Experimental Botany · 2015 · 32 citations · 49 references
Life SciencesPlant BiologyPlant SciencesPhotosynthesisPlant BiochemistryPlant PhysiologyCarbon CycleCarbon Dioxide EnrichmentLeaf PhysiologyPlant RespirationRespiration PhysiologyTricarboxylic Acid CycleCarbon Source UtilizationCompound-specific Isotope AnalysisIsotopic Composition AnalysisLeaf RespirationLeaf-level Carbon ExchangeRespiration In Plant TissuesSpecies-specific Isotope FractionationSpecific Isotope Shift
Dissimilation of carbon sources during plant respiration in support of metabolic processes results in the continuous release of CO2. The carbon isotopic composition of leaf dark-respired CO2 (i.e. δ (13) C R ) shows daily enrichments up to 14.8‰ under different environmental conditions. However, the reasons for this (13)C enrichment in leaf dark-respired CO2 are not fully understood, since daily changes in δ(13)C of putative leaf respiratory carbon sources (δ (13) C RS ) are not yet clear. Thus, we exposed potato plants (Solanum tuberosum) to different temperature and soil moisture treatments. We determined δ (13) C R with an in-tube incubation technique and δ (13) C RS with compound-specific isotope analysis during a daily cycle. The highest δ (13) C RS values were found in the organic acid malate under different environmental conditions, showing less negative values compared to δ (13) C R (up to 5.2‰) and compared to δ (13) C RS of soluble carbohydrates, citrate and starch (up to 8.8‰). Moreover, linear relationships between δ (13) C R and δ (13) C RS among different putative carbon sources were strongest for malate during daytime (r(2)=0.69, P≤0.001) and nighttime (r(2)=0.36, P≤0.001) under all environmental conditions. A multiple linear regression analysis revealed δ (13) C RS of malate as the most important carbon source influencing δ (13) C R . Thus, our results strongly indicate malate as a key carbon source of (13)C enriched dark-respired CO2 in potato plants, probably driven by an anapleurotic flux replenishing intermediates of the Krebs cycle.
49
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Source-to-sink transport of sugar and regulation by environmental factors
Rémi Lemoine, Sylvain La Camera, Rossitza Atanassova et al. · Frontiers in Plant Science · 2013 · 1.2K citations · Full text