Stable transgenic soybean lines overexpressing the GmAPC7-CT gene have demonstrated increased seed yield and reduced susceptibility to the soybean mosaic virus and Meloidogyne incognita. The Anaphase-Promoting Complex subunit 7 (APC7) is a core structural component of the anaphase-promoting complex or cyclosome (APC/C). The terminal region of this AtAPC7 gene has been shown in Arabidopsis thaliana to accumulate more transcripts than the full-length gene. The AtAPC7-CT gene (terminal region of the AtAPC7) encodes a protein with significant homology to a tobacco viral replication inhibitor (IVR). Its stable overexpression in transgenic A. thaliana lines resulted in notable improvements in biomass, seed yield, earliness of vegetative-reproductive transitions, and reduced susceptibility to viruses. In this study, we generated stable transgenic soybean lines overexpressing the GmAPC7-CT gene (terminal region or 3’ portion of Glyma.15G096000, corresponding to the AtAPC7-CT) and evaluated seed yield and susceptibility of these lines to soybean mosaic virus and Meloidogyne incognita. The GmAPC7-CT gene is 624 nucleotides long and encodes a 207-amino acid protein with two tetratricopeptide repeat (TPR) domains. GmAPC7-CT showed 100% amino acid identity with full-length GmAPC7, 81.16% identity with AtAPC7-CT, and 87.94% identity with tobacco IVR. Stable transgenic lines demonstrated significant advancements in plant development and seed yield, with the top three lines producing up to 43% more pods, 44% more seeds, and a 16% increase in seed weight. Furthermore, these soybean lines showed up to a 70% reduction in susceptibility to soybean mosaic virus and M. incognita, reflected by decreased viral RNA load and nematode reproduction factor. Collectively, these results support a conserved role of GmAPC7-CT in soybean and AtAPC7-CT in A. thaliana, acting similarly to the tobacco IVR. Thus, our findings underscore the strong biotechnological potential of the GmAPC7-CT gene to improve key agronomic traits in soybean through genetic engineering approaches, including conventional breeding, transgenesis, and genome editing.
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Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.