Whole-Genome Sequencing: An Effective Strategy for Insertion Information Analysis of Foreign Genes in Transgenic Plants

Innovations in Transgene Integration Analysis: A Comprehensive Review of Enrichment and Sequencing Strategies in Biotechnology

Understanding the integration of transgene DNA (T-DNA) in transgenic crops, animals, and clinical applications is paramount for ensuring the stability and expression of inserted genes, which directly influence desired traits and therapeutic outcomes. Analyzing T-DNA integration patterns is essential for identifying potential unintended effects and evaluating the safety and environmental implications of genetically modified organisms (GMOs). This knowledge is crucial for regulatory compliance and fostering public trust in biotechnology by demonstrating transparency in genetic modifications. This review highlights recent advancements in T-DNA integration analysis, specifically focusing on targeted DNA enrichment and sequencing strategies. We examine key technologies, such as polymerase chain reaction (PCR)-based methods, hybridization capture, RNA/DNA-guided endonuclease-mediated enrichment, and high-throughput resequencing, emphasizing their contributions to enhancing precision and efficiency in transgene integration analysis. We discuss the principles, applications, and recent developments in these techniques, underscoring their critical role in advancing biotechnological products. Additionally, we address the existing challenges and future directions in the field, offering a comprehensive overview of how innovative DNA-targeted enrichment and sequencing strategies are reshaping biotechnology and genomics.

Genomic Variability Survey in Ilex aquifolium L., with Reference to Four Insular Populations from Eastern Europe

Cosmopolitan in the western areas of Europe as well as on other continents, the Ilex genus is interesting for its genetic, phenotypic, and biogeographic variabilities. Its insular/local distribution, according to existing data on the periphery of the central and southern European areas, represents a suitable case study with reference to the adaptive plasticity or acclimatization of the Ilex aquifolium L. species to new climatic conditions. The aim of the present study was to analyze the genetic variability at the genome level in four insular populations of Ilex aquifolium L., i.e., in three spontaneous populations from Romania (RO), Serbia (SR), and Bulgaria (BG) and a cultivated population from Hungary (HU). According to the obtained results, the most genetically similar populations among the four considered in this study were those from SR and RO. Genetic variation overlapped genes that were generally associated with metabolic regulation/transport factors, water, and abiotic stress factors. The analysis of single-nucleotide polymorphisms (SNPs) at the levels of the chloroplast and mitochondrion, from the point of view of their distributions at the gene level, identified two clusters: one that includes the native populations (BG, SR, and RO) and a second one including the cultured population from HU.

Tree species and drought: Two mysterious long-standing counterparts

Around 252 million years ago (Late Permian), Earth experienced one of its most significant drought periods, coinciding with a global climate crisis, resulting in a devastating loss of forest trees with no hope of recovery. In the current epoch (Anthropocene), the worsening of drought stress is expected to significantly affect forest communities. Despite extensive efforts, there is significantly less research at the molecular level on forest trees than on annual crop species. Would it not be wise to allocate equal efforts to woody species, regardless of their importance in providing essential furniture and sustaining most terrestrial ecosystems? For instance, the poplar genome is roughly quadruple the size of the Arabidopsis genome and has 1.6 times the number of genes. Thus, a massive effort in genomic studies focusing on forest trees has become inevitable to understand their adaptation to harsh conditions. Nevertheless, with the emerging role and development of high-throughput DNA sequencing systems, there is a growing body of literature about the responses of trees under drought at the molecular and eco-physiological levels. Therefore, synthesizing these findings through contextualizing drought history and concepts is essential to understanding how woody species adapt to water-limited conditions. Comprehensive genomic research on trees is critical for preserving biodiversity and ecosystem function. Integrating molecular insights with eco-physiological analysis will enhance forest management under climate change.

Review of the technology used for structural characterization of the GMO genome using NGS data

The molecular characterization of genetically modified organisms (GMOs) is essential for ensuring safety and gaining regulatory approval for commercialization. According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. While both methods provide high reproducibility and accuracy, Southern blotting is labor-intensive and time-consuming due to the need for repetitive probe design and analyses for each target, resulting in low throughput. Conversely, NGS facilitates rapid and comprehensive analysis by mapping whole-genome sequencing (WGS) data to plasmid sequences, accurately identifying T-DNA insertion sites and flanking regions. This advantage allows for efficient detection of T-DNA presence, copy number, and unintended gene insertions without additional probe work. This paper reviews the current status of GMO genome characterization using NGS and proposes more efficient strategies for this purpose.

Detection and identification of authorized and unauthorized GMOs using high-throughput sequencing with the support of a sequence-based GMO database

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Sequence-based database Nexplorer describing EU-authorized GMOs was developed.

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Sequences were annotated and presented in structured and extractable formats.

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Workflow for an efficient analysis of NGS data using Nexplorer database was designed.

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Method was successfully tested for various scenarios for routine GMO analysis.

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This paves the way for the use of NGS for routine GMO detection and identification.

The increasing number and diversity of genetically modified organisms (GMOs) for the food and feed market calls for the development of advanced methods for their detection and identification. This issue can be addressed by next generation sequencing (NGS). However, the efficiency of NGS-based strategies depends on the availability of bioinformatic methods to find sequences of the transgenic insert and junction regions, which is a challenging topic. To facilitate this task, we have developed Nexplorer, a sequence-based database in which annotated sequences of GM events are stored in a structured, searchable and extractable format. As a proof of concept, we have developed a methodology for the analysis of sequencing data of DNA walking libraries of samples containing GMOs using the database. The efficiency of the method has been tested on datasets representing various scenarios that can be encountered in routine GMO analysis. Database-guided analysis allowed obtaining detailed and reliable information with limited hands-on time. As the database allows for efficient analysis of NGS data, it paves the way for the use of NGS sequencing technology to aid routine detection and identification of GMO.

Whole-genome sequencing identifies I-SceI-mediated transgene integration sites in Xenopus tropicalis snai2:eGFP line

Transgenesis with the meganuclease I-SceI is a safe and efficient method, but the underlying mechanisms remain unclear due to the lack of information on transgene localization. Using I-SceI, we previously developed a transgenic Xenopus tropicalis line expressing enhanced green fluorescent protein driven by the neural crest-specific snai2 promoter/enhancer, which is a powerful tool for studying neural crest development and craniofacial morphogenesis. Here, we carried out whole-genome shotgun sequencing for the snai2:eGFP embryos to identify the transgene integration sites. With a 19x sequencing coverage, we estimated that 6 copies of the transgene were inserted into the Xenopus tropicalis genome in the hemizygous transgenic embryos. Two transgene integration loci adjacent to each other were identified in a noncoding region on chromosome 1, possibly as a result of duplication after a single transgene insertion. Interestingly, genomic DNA at the boundaries of the transgene integration loci contains short sequences homologous to the I-SceI recognition site, suggesting that the integration was not random but probably mediated by sequence homology. To our knowledge, our work represents the first genome-wide sequencing study on a transgenic organism generated with I-SceI, which is useful for evaluating the potential genetic effects of I-SceI-mediated transgenesis and further understanding the mechanisms underlying this transgenic method.

LIFE-Seq: a universal Large Integrated DNA Fragment Enrichment Sequencing strategy for deciphering the transgene integration of genetically modified organisms

Molecular characterization of genetically modified organisms (GMOs) yields basic information on exogenous DNA integration, including integration sites, entire inserted sequences and structures, flanking sequences and copy number, providing key data for biosafety assessment. However, there are few effective methods for deciphering transgene integration, especially for large DNA fragment integration with complex rearrangement, inversion and tandem repeats. Herein, we developed a universal Large Integrated DNA Fragments Enrichment strategy combined with PacBio Sequencing (LIFE-Seq) for deciphering transgene integration in GMOs. Universal tilling DNA probes targeting transgenic elements and exogenous genes facilitate specific enrichment of large inserted DNA fragments associated with transgenes from plant genomes, followed by PacBio sequencing. LIFE-Seq were evaluated using six GM events and four crop species. Target DNA fragments averaging ~6275 bp were enriched and sequenced, generating ~26 352 high fidelity reads for each sample. Transgene integration structures were determined with high repeatability and sensitivity. Compared with next-generation whole-genome sequencing, LIFE-Seq achieved better data integrity and accuracy, greater universality and lower cost, especially for transgenic crops with complex inserted DNA structures. LIFE-Seq could be applied in molecular characterization of transgenic crops and animals, and complex DNA structure analysis in genetics research.