Overexpression of Setaria italica phosphoenolpyruvate carboxylase gene in rice positively impacts photosynthesis and agronomic traits

Behera, Deeptirekha; Swain, Alaka; Karmakar, Subhasis; Dash, Madhusmita; Swain, Padmini; Baig, M. J.; Molla, Kutubuddin A.

doi:10.1016/j.plaphy.2022.11.011

Cited by 13 publications

(8 citation statements)

References 73 publications

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“…During photosynthesis, carbonic anhydrase (CA) converts atmospheric CO 2 into HCO 3 − , which is utilized by PEPC to synthesize C 4 acids. In another study, Molla et al [ 181 ] isolated the PEPC gene from the plant Setaria italica and transferred it to rice. An overexpression of SiPEPC increased the enzyme activity by 2–6 times in transgenic lines compared to the non-transformed control.…”

Section: Catalytic Carbon Dioxide Reductionmentioning

confidence: 99%

“…Additionally, an increased PEPC activity improved the quantum yield and carboxylation efficiency, leading to an increase in the yield and biomass of transgenic PEPC lines by ca. 23–29% and 24–29%, respectively [ 181 ]. These findings imply that increasing the expression of the specific PEPC enzyme has the potential to enhance photosynthesis, making it a promising avenue for future developments.…”

Section: Catalytic Carbon Dioxide Reductionmentioning

confidence: 99%

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Artificial Photosynthesis: Current Advancements and Future Prospects

et al. 2023

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Artificial photosynthesis is a technology with immense potential that aims to emulate the natural photosynthetic process. The process of natural photosynthesis involves the conversion of solar energy into chemical energy, which is stored in organic compounds. Catalysis is an essential aspect of artificial photosynthesis, as it facilitates the reactions that convert solar energy into chemical energy. In this review, we aim to provide an extensive overview of recent developments in the field of artificial photosynthesis by catalysis. We will discuss the various catalyst types used in artificial photosynthesis, including homogeneous catalysts, heterogeneous catalysts, and biocatalysts. Additionally, we will explore the different strategies employed to enhance the efficiency and selectivity of catalytic reactions, such as the utilization of nanomaterials, photoelectrochemical cells, and molecular engineering. Lastly, we will examine the challenges and opportunities of this technology as well as its potential applications in areas such as renewable energy, carbon capture and utilization, and sustainable agriculture. This review aims to provide a comprehensive and critical analysis of state-of-the-art methods in artificial photosynthesis by catalysis, as well as to identify key research directions for future advancements in this field.

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Section: Catalytic Carbon Dioxide Reductionmentioning

confidence: 99%

Section: Catalytic Carbon Dioxide Reductionmentioning

confidence: 99%

Artificial Photosynthesis: Current Advancements and Future Prospects

et al. 2023

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“…In transgenic lines, the overexpression of SiPEPC led to a two-to six-fold increase in PEPC enzyme activity compared to a non-transformed control. In transformed plants, photosynthetic efficiency was increased and correlated with higher accumulation of chlorophyll, decreased NPQ, increased PSII, and increased ETR [41]. In sorghum, phosphoenolpyruvate carboxylase 3 knockdown has a detrimental effect on growth, productivity, and responses to salt stress [42].…”

Section: Candidate Gene Analysismentioning

confidence: 99%

Combined BSA-Seq and RNA-Seq Reveal Genes Associated with the Visual Stay-Green of Maize (Zea mays L.)

Zheng,

Deng,

et al. 2023

IJMS

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Maize has become one of the most widely grown grains in the world, and the stay-green mutant allows these plants to maintain their green leaves and photosynthetic potential for longer following anthesis than in non-mutated plants. As a result, stay-green plants have a higher production rate than non-stay-green varieties due to their prolonged grain-filling period. In this study, the candidate genes related to the visual stay-green at the maturation stage of maize were investigated. The F2 population was derived from the T01 (stay-green) and the Xin3 (non-stay-green) cross. Two bulked segregant analysis pools were constructed. According to the method of combining ED (Euclidean distance), Ridit (relative to an identified distribution unit), SmoothG, and SNP algorithms, a region containing 778 genes on chromosome 9 was recognized as the candidate region associated with the visual stay-green in maize. A total of eight modules were identified using WGCNA (weighted correlation network analysis), of which green, brown, pink, and salmon modules were significantly correlated with visual stay-green. BSA, combined with the annotation function, discovered 7 potential candidate genes, while WGCNA discovered 11 stay-green potential candidate genes. The candidate range was further reduced due through association analysis of BSA-seq and RNA-seq. We identified Zm00001eb378880, Zm00001eb383680, and Zm00001eb384100 to be the most likely candidate genes. Our results provide valuable insights into this new germplasm resource with reference to increasing the yield for maize.

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“…S . italica is nutritious and rich in natural active substances with hypoglycaemic, hypolipidemic, and antioxidant properties and is also a source of C4 biofuel, which can be processed into a myriad of food and industrial products ( Fig 1D ) [ 23 , 27 ]. S .…”

Section: Introductionmentioning

confidence: 99%

“…It was one of the first domesticated crops globally and is highly resilient to drought, barrenness, and high temperatures [22][23][24][25][26]. S. italica is nutritious and rich in natural active substances with hypoglycaemic, hypolipidemic, and antioxidant properties and is also a source of C4 biofuel, which can be processed into a myriad of food and industrial products (Fig 1D) [23,27]. S. italica has gained popularity due to its high yield, making it the most crucial miscellaneous crop globally [23,28].…”

Section: Introductionmentioning

confidence: 99%

Potential global distribution of Setaria italica, an important species for dryland agriculture in the context of climate change

Yang,

Jiang,

et al. 2024

PLoS ONE

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Setaria italica (S. italica, Linnaeus, 1753) is a drought-resistant, barren-tolerant, and widely adapted C-4 crop that plays a vital role in maintaining agricultural and economic stability in arid and barren regions of the world. However, the potential habitat of S. italica under current and future climate scenarios remains to be explored. Predicting the potential global geographic distribution of S. italica and clarifying its ecological requirements can help promote sustainable agriculture, which is crucial for addressing the global food crisis. In this study, we predicted the potential global geographic distribution of S. italica based on 3,154 global distribution records using the Maxent model and ArcGIS software. We assessed the constraints on its potential distribution based on the contribution of environmental factors variables. The predictive accuracy of the Maxent model was evaluated using AUC values, TSS values, and Kappa statistics, respectively. The results showed that the Maxent model had a high prediction accuracy, and the simulation results were also reliable; the total suitable habitats of S. italica is 5.54×107 km2, which mainly included the United States (North America), Brazil (South America), Australia (Oceania), China, India (Asia), and the Russian Federation (Europe). The most suitable habitat of S. italica was 0.52×107 km2, accounting for 9.44% of the total areas, mainly in the United States, India, the Russian Federation, and China. Soil and precipitation (driest monthly precipitation, hottest seasonal precipitation) are the most critical factors limiting the potential distribution of S. italica. Compared with the modern potential distribution, we predict that the four future climate change scenarios will result in varying reductions in the possible geographic ranges of S. italica. Overall, climate change may significantly affect the global distribution of S. italica, altering its worldwide production and trade patterns.

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Overexpression of Setaria italica phosphoenolpyruvate carboxylase gene in rice positively impacts photosynthesis and agronomic traits

Cited by 13 publications

References 73 publications

Artificial Photosynthesis: Current Advancements and Future Prospects

Artificial Photosynthesis: Current Advancements and Future Prospects

Combined BSA-Seq and RNA-Seq Reveal Genes Associated with the Visual Stay-Green of Maize (Zea mays L.)

Potential global distribution of Setaria italica, an important species for dryland agriculture in the context of climate change

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