Abstract
Plant transformation technology plays an ever-increasing role in improving crop plant traits and addressing research questions. In recent years, a number of important patents on plant transgenic technologies have been published. These patents represent significant new progresses, many representing novel approaches in the field of plant transgenic technology. This review highlights selected as well as the most significant advancements made mostly within the past 2 years in plant transgenic research. These advancements include the improvements of plant transformation systems, development of new plant selectable markers, engineering for plant stress tolerance, production of vaccines in transgenic plants, etc. Of these, the engineering for plant stress tolerance accounts for a high percentage of the transgenic field of inventions. Some results are drastic and unexpected, having a great potential in their applications towards a wider range of plant species. This review also tries to avoid terms and languages pertaining to the patent and legal documents to ease readings.
Keywords: Agrobacterium, T-DNA, transformation, selectable marker, stress tolerance, transgenic plant, vaccine
Call for Papers in Thematic Issues
Advances in Metagenomics: Innovations and Patentable Biotechnologies
Metagenomics has revolutionized biotechnology by enabling the comprehensive analysis of microbial communities in diverse environments. The application of metagenomic approaches has led to the discovery of novel genes, enzymes, bioactive compounds, and metabolic pathways with significant industrial, environmental, and medical applications. This Thematic Issue will focus on recent advancements in ...read more
AI-Driven Innovations in Medical Biotechnology: Transforming Healthcare with Machine Learning and Deep Learning Technologies
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into medical biotechnology is significantly advancing healthcare technologies. These innovations are improving diagnostics, disease prevention, treatment personalization, and medical research. By harnessing vast datasets, AI and ML algorithms are enabling healthcare professionals to make more accurate predictions, optimize patient outcomes, ...read more
Related Books
Wild Vegetables: Morphology, Phytochemistry and Utility Part 1
Biology for Students
Medicinal Plants of Pilibhit Tiger Reserve (PTR) India
Plant-Microbe Interactions: A Comprehensive Review
Glycosylation and Glycation in Health and Diseases
Phytogenic and Phytochemical as Alternative Feed Additives for Animal Production
Methods and Techniques in Nematology
Mind Maps in Clinical Biochemistry
A Treatise on Ecological Science
From SARS-CoV to MARS-CoV
9
