Efficient transgenic maize detection using NGS (PRJCA041092)
we developed a targeted detection strategy for identifying transformation events in maize using low-depth next-generation sequencing (NGS). We evaluated critical parameters, including tissue/organ selection, DNA extraction protocols, high-throughput library preparation methods, sequencing depth, and bioinformatics analysis.