Search bioRxiv⌕ Search

Biology subjects

Carmo-Silva, E.

Publications and source records attributed to Carmo-Silva, E..

3 recordsLinked to original sources

Rubisco Dark Inhibition in Angiosperms Shows a Complex Distribution Pattern

Crop yields can be improved through making photosynthesis more efficient. The regulation of the CO2-fixing enzyme Rubisco during fluctuating light conditions limits productivity and is a target for improvement. Regulation in low light and darkness by accumulation of Rubisco inhibitors, predominantly via 2-carboxy-d-arabinitol 1-phosphate, has been known for over 4 decades but an explanation is still lacking for its physiological role and high variability across species. We compiled all published data for dark inhibition of Rubisco in flowering plants and investigated phylogenetic trends. Literature data for 157 species across 14 orders was compared and standardised, categorised into four dark inhibition levels, and analysed in the context of current phylogenetic information. We created a novel resource for Rubisco dark inhibition across flowering plants, highlighting clear gaps and biases in the available data, while also raising further questions on the evolution of this trait. Our work supports better understanding of the enigmatic process of photosynthetic regulation by Rubisco dark and low light inhibition and informs future efforts in enhancing photosynthesis in crops. HighlightCompilation and analysis of all available data on Rubisco dark inhibition from literature to date showed a complex distribution of levels of inhibition of the CO2 fixing enzyme in flowering plants. Such a distribution suggests there may be chloroplast microenvironment drivers for low vs. high Rubisco inhibition.

plant biology↗

Two cowpea Rubisco activase isoforms for crop thermotolerance

O_LIA vital crop for sub-Saharan Africa, cowpea productivity is threatened by climate change, including increased heatwave intensity, duration, and frequency. Rubisco activase (Rca) is a key molecular chaperone that maintains Rubisco activity and due to its thermal sensitivity is a key target for improving crop climate resilience. C_LIO_LIWe identified and characterised four Rca isoforms in Vigna unguiculata (L.) Walp. cv. IT97K-499-35 in vitro: Rca1{beta}, Rca8, Rca10 and Rca10{beta}. Cowpea leaf and plant growth traits were also investigated during a 5-day +10 {degrees}C heatwave that included assessment of Rubisco and Rca activity in leaf extracts, and relative changes in the abundance of the four Rca isoforms. C_LIO_LICowpea Rca10 and Rca10{beta} had higher thermal maxima, broader thermal optima and higher rates of ATP hydrolysis and Rubisco reactivation in vitro. In the absence of water deficit, the heatwave caused only mild effects, including increases in leaf temperature and expression of Rca10, small decreases in Rubisco activity and activation state, and unaltered temperature response of Rubisco activation by Rca. C_LIO_LIThe superior Rca10 and Rca10{beta} isoforms offer the prospect of enhancing the thermotolerance of cowpea and other crops in anticipation of more extreme future heatwaves. C_LI

plant biology↗

A multiscale approach to investigate fluorescence and NDVI imaging as proxy of photosynthetic traits in wheat

With the development of the digital phenotyping, repeated measurements of agronomic traits over time are easily accessible, notably for morphological and phenological traits. However high throughput methods for estimating physiological traits such as photosynthesis are lacking. This study demonstrates the links of fluorescence and reflectance imaging with photosynthetic traits. Two wheat cultivars were grown in pots in a controlled environment. Photosynthesis was characterised by gas-exchange and biochemical analysis at five time points, from booting to 21 days post anthesis. On the same days imaging was performed on the same pots, at leaf and plant scale, using indoor and outdoor phenotyping platforms, respectively. Five image variables (Fv/Fm and NDVI at the whole plant level and Fv/Fm, {Phi}(II)532 and {Phi}(NPQ)1077 at the leaf scale) were compared to variables from A-Ci and A-Par curves, biochemical analysis, and fluorescence instruments. The results suggested that the image variables are robust estimators of photosynthetic traits, as long as senescence is driving the variability. Despite contrasting cultivar behaviour, linear regression models which account for the cultivar and the interaction effects, further improved the modelling of photosynthesis indicators. Finally, the results highlight the challenge of discriminating functional to cosmetic stay green genotypes using digital imaging. HighlightA temporal and multi-scale study of fluorescence and NDVI imaging used as a proxy for photosynthetic parameters

plant biology↗