In Silico Cloning and Bioinformatics Analysis of Shikimate Dehydrogenase Gene from Medicago sativa

Abstract

The combination of artificial intelligence (AI) and bioinformatics is driving a leap forward in genomics and biological research, especially in the electronic cloning and biological analysis of genes. AI can analyze large-scale genomic data, identify gene variations and predict gene functions through machine learning algorithms, thereby improving the efficiency and accuracy of gene cloning. Electronic cloning technology combines computer modeling and experimental data to simulate the gene expression process, greatly accelerating the progress of gene function research. In the secondary metabolic pathway of plants, shikimate dehydrogenase (SDH) is one of the key enzymes involved in the regulation of the shikimate pathway, which is a key step in the synthesis of important plant secondary metabolites such as phenylpropene compounds, flavonoids and lignin. Shikimate dehydrogenase catalyzes the conversion of shikimate to coumaric acid, which is the basis of plant defense mechanisms, antioxidants and disease resistance. In this study, AI tools were used to deeply analyze the gene expression patterns related to shikimate dehydrogenase, and the shikimate dehydrogenase sequence gene of Escherichia coli was used as a probe to clone and analyze the Medicago sativa shikimate dehydrogenase gene. The results showed that the cloned shikimate dehydrogenase gene of M. sativa was 469 bp in length and had 5 open reading frames (ORFs), of which ORF3 was the longest, with a total length of 258 bp, encoding 85 amino acids. The molecular weight of the protein was 9370.70, and the theoretical isoelectric point pI was 5.67, indicating that it was a functional protein on abiotic membranes. Through further bioinformatics analysis, it was speculated that the gene may play an important role in the secondary metabolism of M. sativa, and its expression pattern may be closely related to the growth and environmental adaptability of the plant.