In the present study Dof1 gene of finger millet was cloned and sequenced. In silico analysis reveals 61% identity with the Sorghum bicolor and 57% identity with the Oryza sativa Dof1 sequence. A comparative analysis of gene sequences from different crops and three finger millet genotypes {Brown (PRM-1), Golden (PRM-701) and White (PRM-801)} differing in grain colour, yield and photosynthetic efficiency showed a high degree of sequence identity of Dof1 sequence gene ranging from 22 to 70% as evident from distance matrix of the built phylogenetic tree showing two major clusters. A total of five conserved motifs were observed in Dof1 sequences of different cereals. Motif 1 with multilevel consensus sequence CKNCRRYWTKGGAMRNVPVG contains zinc finger Dof domain. Motif 3 and motif 5 contains protein kinase phosphorylation site. Motif 2 contains Dof domain and zinc finger N-glycosylation site while motif 4 is involved in Zinc finger type profiling. Further, we studied the spatial distribution of Dof1 gene in three vegetative tissues (root, stem and flag leaf) as well as four stages of developing spikes (S1, S2, S3 and S4) of the three finger millet genotypes using qualitative and quantitative PCR based approaches. Physiological parameters (plant height, leaf area, chlorophyll content, SPAD value and photosynthetic efficiency) at the time of flowering was found to be highest in white (PRM-801) genotype followed by golden (PRM-701) and brown (PRM-1) genotype. Semi-quantitative RT-PCR and quantitative real-time PCR analysis revealed that the expression of Dof1 is highest in leaves and lowest in roots, which suggests its role in regulation of photosynthesis-related genes and carbon skeleton synthesis. Also at grain maturity stage, expression of Dof1 was higher in white (PRM-801) genotype followed by golden (PRM-701) and brown (PRM-1) genotype. The result is suggestive of Dof1 role in the accumulation of grain protein and yield attribute through regulation of key enzymes involved in source to sink relationship during grain filling stage.
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http://dx.doi.org/10.1007/s11033-011-0956-2 | DOI Listing |
Plant Sci
January 2025
Shanghai Agrobiological Gene Center, Shanghai, 201106 China; Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China. Electronic address:
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Microbial Chemistry, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala, Sweden. Electronic address:
Acetate is a biological anion with many applications in the chemical and food industries. In addition to being a common microbial fermentative end-product, acetate can be produced by photosynthetic cyanobacteria from CO using solar energy. Using wild-type cells of the unicellular model cyanobacterium Synechocystis PCC 6803 only low levels of acetate are observed outside the cells.
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School of Energy & Environmental Engineering, Hebei University of Technology, Tianjin, 300401, China. Electronic address:
Photosynthetic bacteria (PSB) excel in wastewater treatment by removing pollutants and generating biomass but are challenging to optimize due to complex operational and environmental interactions. Neural Ordinary Differential Equations, Elastic Net, Stacking, and Categorical Boosting were applied as artificial intelligence methods to predict chemical oxygen demand (COD) removal efficiency, biomass productivity, biomass yield, and energy yield. Among these, the Stacking model demonstrated superior predictive performance across all targets.
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College of Agriculture, Shanxi Agricultural University, Jinzhong 030801, China.
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View Article and Find Full Text PDFPlants (Basel)
January 2025
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Viale delle idee 30, 50019 Sesto Fiorentino, Florence, Italy.
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