Upregulation of C4 characteristics does not consistently improve photosynthetic performance in intraspecific hybrids of a grass

Optimization strategies to improve the carbon sink capacity of C3 plants under the background of dual carbon strategy

In the 21st century, mankind is facing serious climate challenges, and the greenhouse effect caused by excessive CO2 emissions is a difficult problem that mankind urgently needs to solve. In this context, the dual-carbon strategy is proposed, that is, it is hoped that by reducing carbon sources and increasing carbon sinks, the purpose of improving the climate can be achieved. Plants themselves have a certain carbon sequestration capacity, and C4 plants have a stronger carbon sequestration capacity than C3. Therefore, it is a good research prospect to improve C3 plants by utilizing the relevant characteristics of C4 plants to enhance the CO2 absorption capacity of C3 plants. Current research is generally focused on genetic engineering, this paper summarizes the enzymes that have some research significance in C3 plant modification, such as, Rubisco, PPDK, PEPC, NADP-MDH, NADP-ME, etc., as well as the related genes that constitute the enzymes, and also outlines a series of recent advances in the modification of photorespiratory branching and non-photochemical quenching (NPQ). It is hoped that this paper will provide certain research directions and ideas for researchers to obtain C3 plants with higher carbon sequestration capacity.

Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling

BACKGROUND

Salsola laricifolia is a typical C3-C4 typical desert plant, belonging to the family Amaranthaceae. An efficient single-cell system is crucial to study the gene function of this plant. In this study, we optimized the experimental conditions by using Box-Behnken experimental design and Response Surface Methodology (RSM)-Artificial Neural Network (ANN) model based on the previous studies.

RESULTS

Among the 17 experiment groups designed by Box-Behnken experimental design, the maximum yield (1.566 × 106/100 mg) and the maximum number of viable cells (1.367 × 106/100 mg) were obtained in group 12, and the maximum viability (90.81%) was obtained in group 5. Based on these results, both the RSM and ANN models were employed for evaluating the impact of experimental factors. By RSM model, cellulase R-10 content was the most influential factor on protoplast yield, followed by macerozyme R-10 content and mannitol concentration. For protoplast viability, the macerozyme R-10 content had the highest influence, followed by cellulase R-10 content and mannitol concentration. The RSM model performed better than the ANN model in predicting yield and viability. However, the ANN model showed significant improvement in predicting the number of viable cells. After comprehensive evaluation of the protoplast yield, the viability and number of viable cells, the optimal results was predicted by ANN yield model and tested. The amount of protoplast yield was 1.550 × 106/100 mg, with viability of 90.65% and the number of viable cells of 1.405 × 106/100 mg. The corresponding conditions were 1.98% cellulase R-10, 1.00% macerozyme R-10, and 0.50 mol L-1 mannitol. Using the obtained protoplasts, the reference genes (18SrRNA, β-actin and EF1-α) were screened for expression, and transformed with PEG-mediated pBI121-SaNADP-ME2-GFP plasmid vector. There was no significant difference in the expression of β-actin and EF1-α before and after treatment, suggesting that they can be used as internal reference genes in protoplast experiments. And SaNADP-ME2 localized in chloroplasts.

CONCLUSION

The current study validated and evaluated the effectiveness and results of RSM and ANN in optimizing the conditions for protoplast preparation using S. laricifolia as materials. These two methods can be used independently of experimental materials, making them suitable for isolating protoplasts from other plant materials. The selection of the number of viable cells as an evaluation index for protoplast experiments is based on its ability to consider both protoplast yield and viability. The findings of this study provide an efficient single-cell system for future genetic experiments in S. laricifolia and can serve as a reference method for preparing protoplasts from other materials.

Alloteropsis semialata as a study system for C4 evolution in grasses

BACKGROUND

Numerous groups of plants have adapted to CO2 limitations by independently evolving C4 photosynthesis. This trait relies on concerted changes in anatomy and biochemistry to concentrate CO2 within the leaf and thereby boost productivity in tropical conditions. The ecological and economic importance of C4 photosynthesis has motivated intense research, often relying on comparisons between distantly related C4 and non-C4 plants. The photosynthetic type is fixed in most species, with the notable exception of the grass Alloteropsis semialata. This species includes populations exhibiting the ancestral C3 state in southern Africa, intermediate populations in the Zambezian region and C4 populations spread around the palaeotropics.

SCOPE

We compile here the knowledge on the distribution and evolutionary history of the Alloteropsis genus as a whole and discuss how this has furthered our understanding of C4 evolution. We then present a chromosome-level reference genome for a C3 individual and compare the genomic architecture with that of a C4 accession of A. semialata.

CONCLUSIONS

Alloteropsis semialata is one of the best systems in which to investigate the evolution of C4 photosynthesis because the genetic and phenotypic variation provides a fertile ground for comparative and population-level studies. Preliminary comparative genomic investigations show that the C3 and C4 genomes are highly syntenic and have undergone a modest amount of gene duplication and translocation since the different photosynthetic groups diverged. The background knowledge and publicly available genomic resources make A. semialata a great model for further comparative analyses of photosynthetic diversification.