Plant non-specific lipid transfer proteins (nsLTPs) belong to a large multigene family that possesses complex physiological functions. Trichomes are present on the aerial surfaces of most plants and include both glandular secretory hairs and non-glandular hairs. In this study, BraLTP2 was isolated from Brassica rapa (B. rapa) and its function was characterized in the important oilseed crop Brassica napus (B. napus). B. rapa lipid transfer protein 2 (BraLTP2) belongs to the little-known Y class of nsLTPs and encodes a predicted secretory protein. In Pro_BraLTP2::GUS (β-glucuronidase) transgenic plants, strong GUS activity was observed in young leaves and roots, while low activity was observed in the anther. It is noteworthy that strong GUS activity was observed in trichomes of the first four leaves of 4-week-old and 8-week-old seedings, however, it disappeared in 12-week-old seedings. In transgenic plants expressing a BraLTP2::GFP (green fluorescent protein) fusion protein, GFP fluorescence localized in the extracellular space of epidermal cells and trichomes. Overexpression of BraLTP2 in B. napus caused an increase in trichome number and altered the accumulation of secondary metabolites in leaves, including 43 upregulated secondary metabolites. Moreover, transgenic plants showed significantly increased activities of antioxidant enzymes. These results suggest that BraLTP2, a new nsLTP gene, may play a role in trichome development and the accumulation of secondary metabolites.

Genome-edited plants created by genome editing technology have been approved for commercialization. Due to molecular characteristics that differ from classic genetically modified organisms (GMOs), establishing regulation-compliant analytical methods for identification and quantification of genome-edited plants has always been regarded as a challenging task. An editing-site-specific PCR method was developed based on the unique edited sequence in CAO1-edited rice plants. Test results of seven primer/probe sets indicated that this method can identify specific CAO1-edited rice from other CAO1-edited rice and wild types of rice with high specificity and sensitivity. The use of LNA (locked nucleic acid) in a probe can efficiently increase the specificity of the editing-site-specific PCR method at increased annealing temperature which can eliminate non-specific amplification of the non-target. The genome-edited ingredient content in blinded samples at the level of 0.1% to 5.0% was accurately quantified by this method on the ddPCR platform with RSD of <15% and bias in the range of ±17%, meeting the performance requirements for GMO detection method. The developed editing-site-specific PCR method presents a promising detection and quantification technique for genome-edited plants with known edited sequence.

Background: Generation of marker-free transgenic plants is very important to the regulatory permission and commercial release of transgenic crops. Co-transformation methods that enable the removal of selectable marker genes have been extensively used because they are simple and clean. Few comparisons are currently available between different strain/plasmid co-transformation systems, and also data are related to variation in co-transformation frequencies caused by other details of the vector design. Results: In this study, we constructed three vector systems for the co-transformation of allotetraploid Brassica napus (B. napus) mediated by Agrobacterium tumefaciens and compared these co-transformation methods. We tested a mixed-strain system, in which a single T-DNA is harbored in two plasmids, as well as two “double T-DNA” vector systems, in which two independent T-DNAs are harbored in one plasmid in a tandem orientation or in an inverted orientation. As confirmed by the use of PCR analysis, test strips, and Southern blot, the average co-transformation frequencies from these systems ranged from 24 to 81% in T₀ plants, with the highest frequency of 81% for 1:1 treatment of the mixed-strain system. These vector systems are valuable for generating marker-free transgenic B. napus plants, and marker-free plants were successfully obtained in the T₁ generation from 50 to 77% of T₀ transgenic lines using these systems, with the highest frequency of 77% for “double T-DNA” vector systems of pBID RT Enhanced. We further found that marker-free B. napus plants were more frequently encountered in the progeny of transgenic lines which has only one or two marker gene copies in the T₀ generation. Two types of herbicide resistant transgenic B. napus plants, Bar⁺ with phosphinothricin resistance and Bar⁺EPSPS⁺GOX⁺ with phosphinothricin and glyphosate resistance, were obtained. Conclusion: We were successful in removing selectable marker genes in transgenic B. napus plants using all three co-transformation systems developed in this study. It was proved that if a appropriate mole ratio was designed for the specific length ratio of the twin T-DNAs for the mixed-strain method, high unlinked co-insertion frequency and overall success frequency could be achieved. Our study provides useful information for the construction of efficient co-transformation system for marker-free transgenic crop production and developed transgenic B. napus with various types of herbicide resistance.

The hygromycin phosphotransferase (HPT) gene as a selective marker is normally used in screening tests as a first step in detecting and quantifying genetically modified organisms (GMOs) in seeds, food, and feed materials. Nevertheless, if researchers only focus on the HPT gene, it is difficult to distinguish genetically modified (GM) crops from microbial infection, leading to miscalculation of the rate of GM materials in a given sample set. Here, we cloned the 7259 bp sequence carrying the HPT gene from soybean sprouts using the genome walking strategy. BLAST analysis revealed that this sequence was derived from plasmids naturally occurring in microorganisms, such as Escherichia coli, Klebsiella pneumoniae or Salmonella sp. Using the reconstructed plasmid pFP-hpt, qualitative PCR and quantitative real-time PCR (qPCR) methods were established, and 261 bp and 156 bp products were produced. The specificity of these assays was assessed against related pFP-hpt plasmids, plant species with important agronomic traits, and GM crops containing the HPT gene. No unexpected results were observed between samples using these qualitative PCR and qPCR methods. The sensitivity of this qualitative PCR assay was determined at 20 copies, while the limit of detection (LOD) and limit of quantification (LOQ) of qPCR were both 5 copies per reaction. Our in-house validation indicated that the amplification efficiency, linearity, and repeatability of this qPCR assay were in line with performance requirements. Furthermore, a qualitative and quantitative duplex PCR showed high reliability for the simultaneous detection of the HPT gene in a plant sample and environmental micro-organisms harboring the HPT gene in one PCR reaction. These qualitative PCR and qPCR assays were able to differentiate between plants infected with E. coli harboring the HPT gene from GM plants, indicating that these two methods are broadly applicable for routine GMO testing.

As the cultivation scale of genetically modified (GM) crops strongly increases, a convenient DNA assay is highly demanded in resource-limited areas. A label-free electrochemical impedance (EI) genosensor using gold carbon dots (GCDs) was developed with easy-to-use portable device. GCDs were used to modify screen-printed carbon electrode and immobilize capture probes by conducting a simple protocol. After the amplification products anchored on the sensor surface via hybridization reactions, the EI signal increased due to the formation of biocomplex hampering the interfacial electron transfer. Under the optimal conditions, the proposed genosensor coupled with recombinase polymerase amplification (RPA) could detect maize Ruifeng12-5 in a linear range of 0.10–5.0% with a detection limit of 0.10%. In addition, combined with a one-step extraction and RPA amplification, the proposed sensor device can be applied in resource-limited laboratories without expensive instruments or professionals. Therefore, the developed method provides an easy-to-use and sensitive platform for GM organism detection.