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Transgene expression produced by biolistic-mediated, site-specific gene integration is consistently inherited by the subsequent generations.

The efficient production of stable transgenic plants is important for both crop improvement and functional genomics. Site-specific integration of foreign genes into a designated genomic position is an attractive tool for minimizing expression variability between transgenic lines. Here, we studied the utility of a Cre-mediated, site-specific integration approach, facilitated by particle bombardment, for streamlining the production of stable transgenic plants, using rice as a model species. Using this method, we generated 18 different transgenic lines containing a precise integration of a single copy of beta-glucuronidase gene (gusA) into a designated genomic location. Eleven of these lines contained no illegitimate integration in the background (single-copy lines), and seven contained illegitimate integrations in addition to the site-specific integration (multicopy lines). We monitored gusA expression in these lines up to three to four successive generations. Each of the single-copy lines expressed the gusA gene at consistent levels and nearly doubled the expression level in the homozygous state. In contrast, multicopy lines displayed expression variation and gene silencing. In about half of the multicopy lines, however, expression of the site-specific integration locus could be reactivated and stabilized on segregation of the illegitimate integrations, whereas, in the remaining half, expression could not be restored, as they contained genetically linked illegitimate integrations. This study demonstrates that biolistic-mediated, site-specific gene integration is an efficient and reliable tool for streamlining the production of stable transgenic plants.

Biolistics↗

PICRUSt2-SC: an update to the reference database used for functional prediction within PICRUSt2.

SUMMARY: PICRUSt2 is a bioinformatic tool that predicts microbial functions in amplicon sequencing data using a database of annotated reference genomes. We have constructed an updated database for PICRUSt2 that has substantially increased the number of bacterial (19,493 to 26,868) and archaeal (406 to 1,002) genomes as well as the number of functional annotations present. The previous PICRUSt2 database relied on many timely and computationally intensive manual processes that made it difficult to update. We constructed a new streamlined process to allow regular upgrades to the PICRUSt2 database on an ongoing basis, and used this process to create a new database, PICRUSt2-SC (Sugar-Coated). Additionally, we have shown that this updated database contains genomes that more closely match study sequences from a range of different environments. The genomes contained in the database therefore better represent these environments and this leads to an improvement in the predicted functional annotations obtained from PICRUSt2. AVAILABILITY AND IMPLEMENTATION: PICRUSt2 source code is freely available at https://github.com/picrust/picrust2 and at https://anaconda.org/bioconda/picrust2. The latest version of PICRUSt2 at the time of writing is also archived: https://doi.org/10.5281/zenodo.15119781. The PICRUSt2-SC database comes pre-installed with PICRUSt2 from version 2.6.0 onwards. Step-by-step instructions for making the updated database are at https://github.com/picrust/picrust2/wiki/Updating-the-PICRUSt2-database. All code used for the analyses and figures in this manuscript is at https://github.com/R-Wright-1/PICRUSt2-SC_application_note and https://doi.org/10.5281/zenodo.15119770.

Software↗

Apolipoprotein E genotyping by capillary electrophoretic analysis of restriction fragments.

We present the genotyping of apolipoprotein (apo) E by means of restriction fragment analysis of amplified genomic DNA by high-performance capillary electrophoresis and a replaceable non-gel-sieving matrix. This procedure streamlines the genotyping of apo E in large-scale population studies because of the automation and speed of capillary electrophoresis.

Apolipoproteins E↗

Comprehensive mammalian genetics: history and future prospects of gene trapping in the mouse.

Gene trapping has matured into a tool with tremendous potential for mammalian biology. It both mutates and helps identify genes and can be streamlined so that many thousands of insertions can be characterized. In only a few years most of the genome of the mouse will be tagged and mutated using the latest gene trap designs. By creating such a resource, costly and time consuming alternative methods of mutagenesis and gene identification can be avoided allowing biologists to concentrate on determining gene function in vivo. This will mean a major shift in how the genome will be mined for new drug targets. Notably, gene discovery via gene traps does not suffer from the limitations of other methods as it is not biased by expression level. Mouse strains with specific gene mutations can be easily derived from a gene trap library constructed using embryonic stem cells. These strains will help determine the role of the gene product in mammalian physiology and hence the relevance of the gene product to human disease.

Animals↗

A streamlined mutation detection system: multicolor post-PCR fluorescence labeling and single-strand conformational polymorphism analysis by capillary electrophoresis.

Effective use of knowledge of human genome sequences in studies of hereditary diseases or cancer heavily depends on efficient methods for detection of mutations in individual samples. We describe here a simple and efficient mutation scanning system in which PCR products are post-labeled with two different fluorescent dyes in one tube, and analyzed by an automated capillary electrophoresis system using single-strand conformation polymorphism (SSCP) conditions (PLACE-SSCP). With the appropriate use of an internal control DNA, differences in electrophoretic mobilities between a reference and samples are precisely evaluated, then the presence of mutations is statistically judged. Thirty-three of 34 known mutations in fragments of three unrelated sequence contexts up to 741 bp were detected using one electrophoresis condition at the confidence level of <0.3% false positive. All the mutations were detected by analyzing at two temperatures. The described system has the advantage of little human intervention, short analysis time, high sensitivity, and objectivity of data interpretation.

Automation↗

HOLLYWOOD: a comparative relational database of alternative splicing.

RNA splicing is an essential step in gene expression, and is often variable, giving rise to multiple alternatively spliced mRNA and protein isoforms from a single gene locus. The design of effective databases to support experimental and computational investigations of alternative splicing (AS) is a significant challenge. In an effort to integrate accurate exon and splice site annotation with current knowledge about splicing regulatory elements and predicted AS events, and to link information about the splicing of orthologous genes in different species, we have developed the Hollywood system. This database was built upon genomic annotation of splicing patterns of known genes derived from spliced alignment of complementary DNAs (cDNAs) and expressed sequence tags, and links features such as splice site sequence and strength, exonic splicing enhancers and silencers, conserved and non-conserved patterns of splicing, and cDNA library information for inferred alternative exons. Hollywood was implemented as a relational database and currently contains comprehensive information for human and mouse. It is accompanied by a web query tool that allows searches for sets of exons with specific splicing characteristics or splicing regulatory element composition, or gives a graphical or sequence-level summary of splicing patterns for a specific gene. A streamlined graphical representation of gene splicing patterns is provided, and these patterns can alternatively be layered onto existing information in the UCSC Genome Browser. The database is accessible at http://hollywood.mit.edu.

Alternative Splicing↗

Optimization of PCR and automated sequencing of clinical isolates of respiratory syncytial virus.

A streamlined protocol was developed to carry out nucleotide sequence analysis on PCR products obtained from regions of the RNA genome of respiratory syncytial virus (RSV). Whole cell RNA extracted from tissue culture cells inoculated with RSV-infected nasopharyngeal aspirates was used as a template for single-tube cDNA synthesis and PCR amplification of specific regions of the RSV fusion (F) protein gene. The products were then purified using Sephacryl spin columns and digested using lambda-exonuclease to obtain single-stranded templates for analysis using dye-primer chemistry in an automated sequencer. Optimization of a range of parameters and comparison of a number of alternate procedures resulted in a final protocol that allowed the comparison of the sequences of a panel of local RSV subgroup A and B clinical isolates.

Base Sequence↗

Chloroplast transit peptides: structure, function and evolution.

It is thought that two to three thousand different proteins are targeted to the chloroplast, and the 'transit peptides' that act as chloroplast targeting sequences are probably the largest class of targeting sequences in plants. At a primary structural level, transit peptide sequences are highly divergent in length, composition and organization. An emerging concept suggests that transit peptides contain multiple domains that provide either distinct or overlapping functions. These functions include direct interaction with envelope lipids, chloroplast receptors and the stromal processing peptidase. The genomic organization of transit peptides suggests that these domains might have originated from distinct exons, which were shuffled and streamlined throughout evolution to yield a modern, multifunctional transit peptide. Although still poorly characterized, this evolutionary process could yield transit peptides with different domain organizations. The plasticity of transit peptide design is consistent with the diverse biological functions of chloroplast proteins.

Biological Transport↗

CAGEcleaner: reducing genomic redundancy in gene cluster mining.

SUMMARY: Mining homologous biosynthetic gene clusters (BGCs) typically involves searching colocalised genes against large genomic databases. However, the high degree of genomic redundancy in these databases often propagates into the resulting hit sets, complicating downstream analyses and visualization. To address this challenge, we present CAGEcleaner, a Python-based pipeline with auxiliary bash scripts designed to reduce redundancy in gene cluster hit sets by dereplicating the genomes that host these hits. CAGEcleaner integrates seamlessly with widely used gene cluster mining tools, such as cblaster and CAGECAT, enabling efficient filtering and streamlining BGC discovery workflows. AVAILABILITY AND IMPLEMENTATION: Source code and documentation is hosted at GitHub (https://github.com/LucoDevro/CAGEcleaner) and Zenodo (https://doi.org/10.5281/zenodo.14726119) under an MIT license. For accessibility, CAGEcleaner is installable from Bioconda (https://anaconda.org/bioconda/cagecleaner) and PyPi (https://pypi.org/project/cagecleaner/), and is also available as a Docker image from DockerHub (https://hub.docker.com/r/lucodevro/cagecleaner).

Software↗

Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review.

BACKGROUND: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation. OBJECTIVE: This scoping review aimed to investigate the implementation of rehabilomics strategies through cloud-based rehabilitation and summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of rehabilomics and provide insights into future research directions. METHODS: In this scoping review, we systematically searched major academic databases, including CINAHL, Embase, Google Scholar, PubMed, MEDLINE, ScienceDirect, Scopus, and Web of Science to identify relevant studies and apply predefined inclusion criteria to select appropriate studies. Subsequently, we analyzed 28 selected papers to identify trends and insights regarding cloud-based rehabilitation and rehabilomics within this study's landscape. RESULTS: This study reports the various applications and outcomes of implementing rehabilomics strategies through cloud-based rehabilitation. In particular, a comprehensive analysis was conducted on 28 studies, including 16 (57%) focused on personalized rehabilitation and 12 (43%) on data security and privacy. The distribution of articles among the 28 studies based on specific keywords included 3 (11%) on the cloud, 4 (14%) on platforms, 4 (14%) on hospitals and rehabilitation centers, 5 (18%) on telehealth, 5 (18%) on home and community, and 7 (25%) on disease and disability. Cloud platforms offer new possibilities for data sharing and collaboration in rehabilomics research, underpinning a patient-centered approach and enhancing the development of personalized therapeutic strategies. CONCLUSIONS: This scoping review highlights the potential significance of cloud-based rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in rehabilomics.

Cloud Computing↗

The human genome project: implications for the endocrinologist.

The sequencing of the human genome is a major achievement of our time. This article reviews the process and current status of the working draft sequence, ways to predict genes and assign function, and conclusions for human biology. Gene density is uneven and related to chromosome banding patterns, and the estimate of approximately 30,000 genes is lower than expected. Genetic maps for men and women differ from each other and from the physical map. Single nucleotide polymorphisms occur at an average spacing of 1 kb. Human populations are 99.99% identical, and most sequences are shared between people from different continents. To illustrate the tools for accessing the human genome sequence, searches were performed for genes encoding three categories of growth-related proteins, insulin-like growth factor-I (IGF-I) receptor, IGF-binding proteins and growth hormone receptor. The results revealed novel details about their genomic organization and new predicted transcripts. Impacts on medicine are promised in the fields of diagnostics (development of new tests), therapeutics (identification of new potential drug targets) and pharmacogenomics (streamlining of drug discovery and personalized medicine). Associated ethical, legal and social implications and controversies include genetic determinism, informed consent, privacy and confidentiality, ownership of genetic information in the biotechnology marketplace, and access to genetic healthcare.

Endocrinology↗

Tools enabling the elucidation of molecular pathways active in human disease: application to Hepatitis C virus infection.

BACKGROUND: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integrating experimental data sets with molecular interaction networks has been recognized and applied to the study of model organisms, but its systematic application to the study of human disease has lagged behind due to the lack of tools for performing such integration. RESULTS: We have developed techniques and software tools for simplifying and streamlining the process of integration of diverse experimental data types in molecular networks, as well as for the analysis of these networks. We applied these techniques to extract, from genomic expression data from Hepatitis C virus-infected liver tissue, potentially useful hypotheses related to the onset of this disease. Our integration of the expression data with large-scale molecular interaction networks and subsequent analyses identified molecular pathways that appear to be induced or repressed in the response to Hepatitis C viral infection. CONCLUSION: The methods and tools we have implemented allow for the efficient dynamic integration and analysis of diverse data in a major human disease system. This integrated data set in turn enabled simple analyses to yield hypotheses related to the response to Hepatitis C viral infection.

Computational Biology↗

SNPannotator: automated functional annotation of genetic variants and linked proxies.

SUMMARY: Genome-wide association studies (GWASs) have identified thousands of genetic variants associated with complex traits and diseases. However, explaining the mechanisms underlying phenotypic variation remains challenging. Here, we introduce SNPannotator, an automated post-GWAS analysis software package designed to streamline the interpretation of GWAS findings. Our pipeline implements a multi-step process that identifies proxy variants in high linkage disequilibrium (LD) with associated lead variants, then queries comprehensive resources (including Ensembl, the GTEx Portal, the eQTL Catalog, and STRING DB) for genomic position, deleteriousness, regulatory annotations, clinical significance, trait associations, expression (eQTLs) and splicing quantitative trait loci (sQTLs), and functional enrichment analyses and compiles the results into user-friendly reports. This package is implemented in the R programming language and includes auxiliary functions for variant lookup and LD exploration. SNPannotator provides a practical framework for efficiently deriving biologically meaningful insights from GWAS data and for assisting researchers in prioritizing candidate variants for functional validation. AVAILABILITY AND IMPLEMENTATION: The SNPannotator package is available from the Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/web/packages/SNPannotator. The development version and tutorial is available on GitHub (https://github.com/omicslaboratory/SNPannotator). The online version of the package is available at https://omicslab.org/snpannotator.

Software↗

Recovery and evolutionary analysis of complete integron gene cassette arrays from Vibrio.

BACKGROUND: Integrons are genetic elements capable of the acquisition, rearrangement and expression of genes contained in gene cassettes. Gene cassettes generally consist of a promoterless gene associated with a recombination site known as a 59-base element (59-be). Multiple insertion events can lead to the assembly of large integron-associated cassette arrays. The most striking examples are found in Vibrio, where such cassette arrays are widespread and can range from 30 kb to 150 kb. Besides those found in completely sequenced genomes, no such array has yet been recovered in its entirety. We describe an approach to systematically isolate, sequence and annotate large integron gene cassette arrays from bacterial strains. RESULTS: The complete Vibrio sp. DAT722 integron cassette array was determined through the streamlined approach described here. To place it in an evolutionary context, we compare the DAT722 array to known vibrio arrays and performed phylogenetic analyses for all of its components (integrase, 59-be sites, gene cassette encoded genes). It differs extensively in terms of genomic context as well as gene cassette content and organization. The phylogenetic tree of the 59-be sites collectively found in the Vibrio gene cassette pool suggests frequent transfer of cassettes within and between Vibrio species, with slower transfer rates between more phylogenetically distant relatives. We also identify multiple cases where non-integron chromosomal genes seem to have been assembled into gene cassettes and others where cassettes have been inserted into chromosomal locations outside integrons. CONCLUSION: Our systematic approach greatly facilitates the isolation and annotation of large integrons gene cassette arrays. Comparative analysis of the Vibrio sp. DAT722 integron obtained through this approach to those found in other vibrios confirms the role of this genetic element in promoting lateral gene transfer and suggests a high rate of gene gain/loss relative to most other loci on vibrio chromosomes. We identify a relationship between the phylogenetic distance separating two species and the rate at which they exchange gene cassettes, interactions between the non-mobile portion of bacterial genomes and the vibrio gene cassette pool as well as intragenomic translocation events of integrons in vibrios.

DNA, Bacterial↗

Systematic Optimization Enables Near-Perfect In Vitro Transformation Efficiencies for Spirodela polyrhiza (Greater Duckweed).

The in vitro transformation of plants, or the delivery of foreign genetic material that is incorporated into their genomes, represents a powerful tool both for elucidating genotype-phenotype relationships and for generating plant cultivars which have desirable traits for agriculture and/or biotechnological applications. However, outside of a few model species, the processes involved in transformation are often inefficient and can take months to perform for many plant species, with several bottlenecks occurring at the different stages of calli induction, genetic transfection, and plant regeneration. While duckweeds - aquatic monocots whose species include some of the smallest and fastest-growing flowering plants on the planet - have distinguished themselves with several emerging biotechnological applications, they too are the subject of conflicting reports regarding their transformation potential and ability to be genetically manipulated. Here, we synthesized and optimized the protocols for in vitro transformation of duckweed Spirodela polyrhiza (Greater Duckweed) from start-to-finish: achieving >90% - 100% efficiencies for each of calli induction; transient and stable genetic transformation; visual marker-free selection of transformants; and regeneration of genetically modified plants with stable transgene expression for over 100 generations - and which in S. polyrhiza can be achieved over the course of weeks instead of months. The integrated, streamlined approaches for all stages of in vitro transformation overcome many bottlenecks and can help to pave the way for high-throughput functional genomics studies and synthetic biology applications in this biotechnologically-important species.

CRISPR/Cas9↗

Rapid isolation of desired sequences from lone linker PCR amplified cDNA mixtures: application to identification and recovery of expressed sequences in cloned genomic DNA.

A simple and efficient method for the rapid isolation of specific sequences from PCR-amplified cDNA mixtures has been developed. cDNA mixtures obtained using lone linker PCR (Ko et al. 1990) appeared to be highly representative even though the starting material, 100 ng-2 micrograms of total RNA, is much less than is required for making an ordinary cDNA library. With this method, cDNA mixtures were obtained from limited materials, including early mouse embryos and primordial germ cells. For selective enrichment of desired cDNAs, biotinylated probe was hybridized with the lone linker-linked cDNA in solution and the resulting probe-cDNA hybrid was captured by Streptavidin-coated magnetic beads. After appropriate washing, cDNA was released from the beads and subjected to amplification followed by cloning into a vector. Using genomic fragments isolated during chromosomal walking in the T/t complex of mouse Chromosome (Chr) 17, cDNAs encoding novel germ cell specific genes have been readily isolated by the above procedures. The method, termed random access retrieval of genetic information through PCR (RARGIP), will streamline the entire process from RNA to cDNA greatly. Its application potentials in various areas of molecular genetics will be discussed.

Animals↗

Scalable purification of adeno-associated virus type 2, 4, or 5 using ion-exchange chromatography.

The availability of high-titer, high-purity, adeno-associated virus type 2 (AAV2) stocks has dramatically increased our understanding of this virus and its utility as a gene transfer vector. Current methods of purification take advantage of the stable interaction of AAV2 with heparin sulfate. This affinity chromatography, however, is not useful for purifying AAV4 and AAV5, because these serotypes lack heparin-binding activity. We have developed simple ion exchange high-performance liquid chromatography (HPLC) method for purifying different AAV serotypes that does not rely on the affinity of the viruses for heparin. The protocol is fast, efficient, and yields highly infectious material. Analysis of the highly purified virus indicated that more than 90% of the particles contained genomes and were more active than virus purified by cesium chloride (CsCl) gradient purification. This procedure is scalable and can easily be streamlined for large-scale production of recombinant adeno-associated virus (rAAV), regardless of the serotype. Ultimately, the new purification method will further the characterization of rAAV of different serotypes as vectors for gene therapy applications.

Animals↗

Tractor Workflow Pipeline: A Scalable Nextflow Framework for Local Ancestry-Aware Genome-Wide Association Studies.

The routine exclusion of admixed individuals from traditional Genome-Wide Association Studies (GWAS) due to concerns about spurious associations has hindered genetic analyses involving multiple ancestries. Tractor GWAS addresses this issue by incorporating local ancestry into its analysis, empowering identification of ancestry-enriched hits and generating ancestry-specific summary statistics. However, Tractor requires accurate genomic phasing and local ancestry inference as prerequisite steps, which requires additional bioinformatics expertise and decision points regarding reference panel setup. To streamline, harmonize, and automate this process, we present a scalable Nextflow workflow that integrates all necessary steps, minimizing the need for manual intervention while remaining modular and customizable. The workflow supports multiple commonly used tools and offers flexibility in how Tractor is implemented. To demonstrate its utility, we applied this pipeline to analyze 32 blood biomarkers in 6,245 two-way AFR-EUR admixed individuals from the UK Biobank. This pipeline ran efficiently at scale, replicated known associations, and identified novel ancestry-specific loci. These novel associations were largely driven by variants present on African ancestral tracts but absent from European tracts, underscoring the value of local ancestry-aware methods in uncovering previously missed genetic signals. By enabling the efficient analysis of admixed individuals, our workflow facilitates Tractor use, paving the way for more broader genetic discovery.

Journal Article↗