High-quality DNA Research Articles

Comparison of Four Different DNA Isolation Methods from MGIT Culture for Long-Read Whole Genome Sequencing of Mycobacterium tuberculosis

Background: Tuberculosis (TB) remains a global health challenge, particularly due to drug resistance and limitations in rapid diagnosis. Next-generation sequencing (NGS), especially long-read whole genome sequencing (WGS), shows promise for rapidly detecting TB and drug resistance, but it requires high-quality DNA, which is difficult to extract from Mycobacterium tuberculosis due to its complex cell wall. Objectives: This study evaluated four DNA isolation methods for extracting pure DNA from M. tuberculosis, aiming to standardize protocols for long-read WGS. Methods: Mycobacterium tuberculosis H37RV colonies were grown in BACTEC MGIT liquid medium. Two pellets were prepared as the initial material for the DNA extraction protocol: Pellets from 1 mL McFarland 2 suspensions and all growing colonies from two MGIT liquid cultures. Four DNA extraction methods were used: The cetyltrimethylammonium bromide (CTAB) method, GeneJET Genomic DNA Purification Kit, Quick-DNA Fecal/Soil Microbe Kit, and Genematrix Tissue/Bacterial DNA Purification Kit, with some modifications. DNA quality was assessed based on concentration, purity, and integrity. Results: Among the tested methods, the Quick-DNA Fecal/Soil Kit yielded approximately 85 ng/mL of DNA and a purity of 1.9 at 260/280 nm from the colonial pellet of two MGIT tubes. However, lower intact DNA [DNA integrity number (DIN) ~ 6.8] was obtained with this kit. The CTAB method provided the highest intact DNA (DIN ~ 9.5), although the purity of the DNA was not sufficient. Conclusions: Based on three repetitions of McF-2 and colonial pellet extractions, the Quick-DNA Fecal/Soil Kit yielded the highest DNA quantity and purity but showed lower integrity compared to other methods, indicating the need for adjustments. A pellet from two MGIT cultures (~ 100 µL) is suitable for long-read WGS with this kit. However, a larger sample size is required to generalize these findings. For effective long-read sequencing of M. tuberculosis, DNA extraction protocols must be optimized to balance yield, fragment size, and purity for accurate sequencing and drug resistance analysis.

Phytoplasma DNA Enrichment from Sugarcane White Leaves for Shotgun Sequencing Improvement

Sugarcane white leaf (SCWL) disease, caused by Candidatus Phytoplasma sacchari, poses a significant threat to sugarcane cultivation. An obligate parasite, phytoplasma is difficult to culture in laboratory conditions, making the isolation of its DNA from the massive amount of plant host DNA extremely challenging. Yet, the appropriate amount and quality of plant microbiome-derived DNA are key for high-quality DNA sequencing data. Here, a simple, cost-effective, alternative method for DNA isolation was applied using a guanidine-HCl-hydroxylated silica (GuHCl-Silica)-based method and microbiome DNA enrichment based on size-selective low-molecular-weight (LMW) DNA by PEG/NaCl precipitation. qPCR analysis revealed a significant enrichment of phytoplasma DNA in the LMW fraction. Additionally, the NEBNext Microbiome DNA enrichment kit was utilized to further enrich microbial DNA, demonstrating a remarkable increase in the relative abundance of phytoplasma DNA to host DNA. Shotgun sequencing of the isolated DNA gave high-quality data on the metagenome assembly genome (MAG) of Ca. Phytoplasma sacchari SCWL with completeness at 95.85 and 215× coverage. The results indicate that this combined approach of PEG/NaCl size selection and microbiome enrichment is effective for obtaining high-quality genomic data from phytoplasma, surpassing previous methods in efficiency and resource utilization. This low-cost method not only enhances the recovery of microbiome DNA from plant hosts but also provides a robust framework for studying plant pathogens in complex plant models.

Peripheral blood to next-generation sequencing ready DNA library: a novel engineering design for automation

Whole genome sequencing (WGS) has become a gold standard for diagnosing genomic variation. Peripheral blood is a common sample source for the extraction of nucleic acids for Next-Generation Sequencing (NGS) applications. Here, we present an integrated and fully automated device design that uses new concepts of fluid mechanics, heat-mass transfer, and thermodynamics of enzymatic reactions to extract nucleic acids from the blood and perform DNA library preparation from a pre-filled plate. We demonstrate that the presented device effectively extracts dsDNA with an average of 25.03 µg/mL and 25.91 µg/mL yield from citrate-stabilized human peripheral blood stored in Fresh (4 °C) and Frozen (-20 °C) conditions, respectively. Furthermore, our method automatically extracts nucleic acids and creates a high-quality sequence-ready DNA library from blood stabilized with citrate and EDTA for 8 samples simultaneously in a single run with a total operation time of ~ 7 h. Our results show the required coverage and depth of the genome, highlighting an essential application of this device in processing blood samples for genome sequencing.Graphical

Applying nanopore sequencing technology in Paracoccidioides sp.: a high-quality DNA isolation method for next-generation genomic studies.

Paracoccidioidomycosis is a severe systemic endemic mycosis caused by Paracoccidioides spp. which mainly affects individuals in Latin America. Progress in Paracoccidioides genomics has been slow, as evidenced by the incomplete reference databases available. Next-generation sequencing is a valuable tool for epidemiological surveillance and genomic characterization. With the ability to sequence long reads without the need for prior amplification, Oxford Nanopore Technology (ONT) offers several advantages, but high-quality and high-quantity DNA samples are required to achieve satisfactory results. Due to the low concentration of Paracoccidioides DNA in clinical samples and inefficient culture isolation methods, DNA extraction can be a significant barrier to genomic studies of this genus. This study proposes a method to obtain a high-coverage de novo genome assembly for Paracoccidioides using an improved DNA extraction method suitable for sequencing with ONT. The assembly obtained was comparable in size to those constructed from available data from Illumina technology. To our knowledge, this is the first genome assembly of Paracoccidioides sp. of such a large size constructed using ONT.

Streamlined boiling lysis DNA extraction for Gram-positive aquaculture pathogen Streptococcus agalactiae.

Accurate genetic analysis is essential for the detection of pathogens as it necessitates suitable DNA extraction methods tailored to specific microorganisms such as Gram-positive bacteria. This study examined several commercial and simplified DNA extraction methods for their suitability in isothermal downstream applications. Extracted DNA was assessed using spectrophotometry, electrophoresis, polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) while its stability was inspected after five months of storage. The findings revealed variations in DNA yield, purity and integrity among the extraction methods. While extraction kits demonstrated high yield and purity, the in-house extraction techniques showed incoherent correlation between yield and purity, yet showed promise for a streamlined extraction process. The DNA acquired from all methods yielded positive amplification in PCR and LAMP. DNA extracted by kits exhibits prolonged stability than those obtained via boiling lysis. Both methods offer distinct advantages, with commercial kits providing longer stability and high-quality DNA while boiling lysis stands out for its simplicity, with shorter handling and processing periods. This study emphasizes selecting ideal extraction methods for Streptococcus agalactiae, in the prospect of aquaculture settings. In particular, successful LAMP reaction suggests that boiled extracts are feasible enough for detection, and suited for point-of-care (POC) testing where prompt detection of aquatic pathogens is often critical. Ultimately, the choice of method should be contemplated on a case-by-case basis such as the study goals, intended settings, and type of samples.

Forensic STR and SNP Genotyping of Formalin-Fixed Skeleton Samples With Illumina's ForenSeq System.

Formalin fixatives are widely used in forensics to preserve tissues. However, extracting high-quality genomic DNA from formalin-fixed samples is challenging. Traditional short tandem repeat (STR) analysis using capillary electrophoresis (CE) for forensic DNA typing frequently results in failure. Massively parallel sequencing (MPS) can handle many samples and thousands of genetic markers, usually single-nucleotide polymorphisms (SNPs) and STRs, in a single test. Thus, it is useful for assessing highly deteriorated forensic evidence. Few studies have examined the effectiveness of STRs and SNPs genotyping of formalin-fixed skeletons using MPS. In this study, 55 skeletal samples from 5 individuals that were treated under different formalin fixation times (5-75 days) were examined and sequenced using the ForenSeq DNA Signature Prep Kit on the Illumina MiSeq FGX platform. The results showed that as the duration of formalin fixation increased, the detection rates of STRs and SNPs gradually decreased. After 75 days of fixation, the average detection rates for STRs and SNPs were 4% and 10%, respectively. The cumulative discrimination power (CDP) of individual identification SNPs (iiSNPs) was >0.9999 on the 45th day. However, the CDP of STRs was 0.9930 on the 22nd day. Low detection rates were observed for six STRs (D1S1656, PentaE, D22S1045, PentaD, DX8378 and DX10103) and five SNPs (rs2920816, rs354439, rs1736442, rs338882 and rs1031825). In conclusion, DNA extracted from formalin-fixed skeletons decomposes rapidly over time, and MPS technology can be a useful tool for detecting forensic genetic markers in such samples.

B-185 A Comparison Between Two Oral Sample Collection Devices on Preserving High-Quality Genomic DNA

Abstract Background High-quality genomic testing significantly enhances the knowledge on gene-disease association, and greatly benefits future biomedical research and precision medicine. However, widely used saliva sample collection presents challenges with high-quality and quantity of human DNA and high bacterial DNA ratio. In this study, we validated the performance of two commercially available oral collection devices for their ability to preserve high-quality genomic DNA long-term at room temperature. Methods Fifty-one buccal samples in total from twelve donors were collected using two kinds of commercially available oral sample collection devices (iSWAB®-DNA (Device 1) and OCD-100 (Device 2)). All of the collected samples were stored at ambient temperature for up to 1 year. Collected samples were extracted with QIAamp Blood Mini Kit (Qiagen) at baseline, 30 days, 60 days, and 1 year. All DNA yields were measured using a Nanodrop One Microvolume UV-Vis Spectrophotometer; TapeStation System was used for determining the integrity of DNA. The bacterial DNA ratio was estimated by quantitative PCR with primers targeting the 16S rRNA gene known to be present in prokaryotes but not eukaryotes. Results Device 1 had higher yield (Device 1: 18.59 ± 8.98; Device 2: 6.44 ± 4.62), lower bacterial DNA ratio (Device 1: 2.06 ± 1.93; Device 2: 3.79 ± 4.58), and higher overall DNA integrity (Device 1: 6.1 ± 0.31; Device 2: 5.42 ± 0.96) compared to Device 2. Device 1 demonstrated longer post-collection sample stability at ambient temperature compared with Device 2 regarding DNA yield, bacterial DNA ratio and DNA integrity. No significant changes in DNA yield, integrity, and bacterial DNA ratio were observed after one year of storage in Device 1. No significant changes in DNA yield, integrity, and bacterial DNA ratio were observed after 60 days of storage in Device 2. However, Device 2 showed a significant increase in DNA yield, bacterial DNA ratio, and DNA integrity comparing baseline to 1 year. Conclusions Device 1 preserves higher quantity and quality of DNA from oral samples at ambient temperature for up to 1 year. These advantages significantly enhance efficiency and cost-effectiveness in downstream applications such as genotyping and sequencing, making it a valuable tool in genomics research with a commendable success rate.

B-184 Purifying High-Quality Genomic DNA From Frozen Blood Samples Stored up to 1.5 Years at -20°C

Abstract Background Maintaining DNA integrity in blood samples, from transport to storage to processing, is crucial to the success of downstream applications, especially regarding diagnostic applications. Additionally, due to the invasive nature of collecting blood samples, minimizing resampling to avoid excess patient pain and cost of collection and transportation are important to consider. Having the option to store and maintain portions of blood samples in the freezer enables future retesting without recollection. Since -20°C freezers generally are more affordable, require less energy, and have smaller footprints than -80°C freezers, demonstrating frozen blood stability at -20°C temperatures could decrease sampling burdens for labs with facility constraints. Methods Whole blood was collected into 9mL vacuum tubes (HemaSure-OMXP) from healthy donors. Aliquots of whole blood and buffy coat samples were stored at -20°C and thawed for genomic DNA extractions (QIAamp DNA Blood Mini Kit, Qiagen) at a range of different timepoints; frozen whole blood samples were processed at 0, 49, 141, and 148 days and frozen buffy coat samples were processed at 7, 27, 36, 185, 246, 373, 394, 584, and 604 days. Purified gDNA was quantified with Qubit (Broad Range dsDNA Assay, ThermoFisher) and qualified with Nanodrop One Microvolume UV-Vis Spectrophotometer (ThermoFisher) and TapeStation (Genomic DNA ScreenTape, Agilent Technologies). Results No significant decrease was observed for DNA yield and quality between fresh and frozen whole blood samples. Average DNA yields from 200 μL whole blood were 4.5 ± 2.2 μg and 5.3 ± 1.2 μg for fresh and frozen blood respectively. Average DNA integrity (DIN) was 6.9 ± 0.4 and 7.1 ± 0.3 for fresh and frozen blood respectively. Donor differences in blood samples can help explain the variance in DNA yields reported. No significant decrease was observed for DNA yield and quality in buffy coat samples frozen for longer at -20°C. In total, 84 whole blood and 25 buffy coat samples were processed in this study. Conclusions Although buffy coat samples tended to have higher yields than whole blood, due to the higher amount of white blood cells present, both sample types provided sufficient amounts of gDNA for downstream applications. Freezing blood samples for future testing can be effective at reducing the need for resampling without sacrificing the nucleic acid yield or quality of fresh samples. Additionally, as technological advancements are made for equipment and assays, frozen blood samples can be retested and compared to previous results for improved diagnostic decisions, done without requiring recollection from labs and patients.

B-231 Evaluation of the KingFisher Flex for DNA Isolation From FFPE Tissue Utilizing Autolys M Tubes and the MagMAX FFPE DNA/RNA Ultra Kit

Abstract Background Our institution is facing increasing demand for oncology testing that requires high quality DNA extracted from formalin-fixed paraffin-embedded (FFPE) tissue. The current DNA extraction workflow involves a time and labor-intensive manual process that limits our ability to accommodate increasing downstream clinical testing volumes. We evaluated the KingFisher (KF) Flex utilizing Autolys M Tubes and the MagMAX FFPE DNA/RNA Ultra Kit as a possible high-throughput, automated DNA isolation workflow option that would decrease hands-on time and be conducive to volume growth without the need for additional staff. Methods DNA from 52 FFPE tissue samples (n=24 unique cases previously extracted by the current “manual method”) were extracted using Autolys M tubes, the MagMAX FFPE DNA/RNA Ultra Kit, and the KF Flex (Thermo Fisher Scientific Waltham, MA) over 4 “automated method” runs. Method modifications to the published procedure were introduced over the runs to determine any effects on DNA quality/quantity. Timings were taken during each run to compare hands-on and total run time against that of the manual method. Precision experiments were performed by extracting 4 replicates of sample on a single run (intra-assay precision) and 2 samples from 2 cases over 2 runs (inter-assay precision). Three cases were processed using varying tissue input levels to assess input-yield correlation. DNA yield was measured using HS dsDNA Qubit (Thermo Fisher Scientific, Waltham, MA). A subset of samples was tested by digital droplet PCR (ddPCR) (n=10), chromosomal microsomal microarray (CMA) (n=1), and next-generation sequencing (NGS) (n=3). Variants and QC metrics of the KF DNA were compared to those of the manual method DNA. Results The average total DNA yield was 3% lower from samples extracted following the manufacturer recommended KF procedure compared to matched samples extracted using the manual method (n=28 samples from 23 unique cases). A CV of 2.8% was observed in an intra-assay experiment (n=4 replicates from 1 case) and 3.0% in an average inter-assay experiment (n=2 replicates from 2 cases). There was a direct correlation between the tissue input amount (4 amounts of varied tissue input) and the total DNA yield (n=3 samples). We observed concordant fractional abundance values for ddPCR samples and concordant variant detection for NGS and CMA samples. We did not see a significant difference in the quality metrics tracked for any of the downstream testing assays. Conclusions This evaluation demonstrated that, as compared to our manual method, the automated method resulted in comparable DNA yields and downstream assay results. The incorporation of this automation would significantly increase our FFPE DNA extraction capacity without requiring additional staff while reducing hands-on time per run by about six hours. We would also be able to reduce ergonomic hazards related to tube cap manipulation, eliminate use of hazardous reagents, and leverage the plate format to better integrate extracted DNA into our clinical sample preparation workflows. These operational benefits highlight the value of automating high-throughput workflows.

High-Quality Genomic DNA Extraction Protocol for Bacillus and Clostridium Species.

High-quality DNA with sufficient yield is the goal of DNA extraction protocols. We present an optimized, cost-effective method for extracting next-generation sequencing (NGS)-quality genomic DNA from Bacillus and Clostridium species using the chloroform-isoamyl approach. The protocol involves two main procedures: cultivation of the bacteria under appropriate conditions, followed by DNA extraction through cell lysis, phase separation, DNA precipitation, and cleanup. This method has been successfully applied to several hundred strains of Bacillus and Clostridium species in our laboratory, including B. cereus, B. licheniformis, C. sporogenes, and C. tyrobutyricum, demonstrating its efficacy and reliability for producing high-quality DNA that meets NGS quality control standards. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Culturing Bacillus and Clostridium species Basic Protocol 2: DNA extraction © 2024 by John Wiley & Sons, Inc.

DNARS: A safe, environmentally friendly and high-quality DNA extraction method suitable for various biological samples

The functional and interactional relationships between nucleic acids and proteins form the foundational framework for molecular biology studies. In this context, obtaining high-quality nucleic acids is a crucial step for successful downstream applications. This study aimed to develop a cost-effective, eco-friendly, and versatile DNA extraction method that yields high-quality DNA from diverse biological samples. We utilized three types of borosilicate-based recycled laboratory glass as a silica source, combined with sodium iodide as a chaotropic agent, creating an efficient system for cell lysis and DNA extraction. Quality control was performed by assessing the concentration and purity of the extracted DNA using spectrophotometry, and the results were compared to those obtained with a commercial kit. DNA integrity was evaluated via agarose gel electrophoresis. To verify the suitability of the extracted DNA for downstream applications, we conducted 16S rRNA and ITS PCR amplifications. Our findings demonstrated that our DNA extraction method produced significantly higher yields, better purity, and greater integrity compared to the commercial kit. Moreover, the extracted DNA was readily applicable in PCR-based procedures, confirming the method's effectiveness for molecular biology applications.

Efficiency comparison of DNA extraction kits for analysing the cockle gut bacteriome

Cockles play a vital ecological role and provide valuable ecosystem services globally. However, the performance, production, and safe consumption of cockles are significantly influenced by their gut-associated bacteriome. Accurate understanding of gut-bacteriome interactions, and surveillance of pathogenic bacteria loads in cockles, rely on efficient DNA extraction methods that yield high-quality and representative bacterial DNA. Despite this importance, reliable extraction methods for cockles are currently overlooked. Therefore, we evaluated the performance of five DNA extraction kits (E.Z.N.A.® Soil DNA; FastDNA® Spin; DNeasy PowerSoil Pro; QIAamp PowerFecal DNA; ZymoBIOMICS™DNA Miniprep) in terms of DNA quality, yield, bacterial community structure (analysed by using denaturating gradient gel electrophoresis; DGGE), and bacteriome composition (analysed by 16S rRNA gene sequencing) in Cerastoderma edule gut. The DNeasy kit provided the highest purity and quantity of bacterial DNA, while the PowerFecal and Zymo kits exhibited reduced extraction efficiency. DGGE profiles revealed significant variability between the tested kits (R = 0.512; mean P = 0.011), but the FastDNA kit under-represented the bacterial community in cockles’ gut. Based on alpha diversity, the DNeasy kit outperformed the others and successfully detected all abundant genera found with the alternative kits. Our findings indicate that the DNeasy kit is an efficient DNA extraction method, enabling a molecular representation of the gut-associated bacteriome in C. edule. These results contribute to the development of effective techniques for studying the cockle gut bacteriome and its ecological implications.

Evaluation of Genetic Diversity in Sorghum Genotypes via Simple Sequence Repeat (SSR) Markers

This study aimed to evaluate the genetic diversity of 20 sorghum [Sorghum bicolor (L.) Moench] genotypes via simple sequence repeat (SSR) markers, with a focus on identifying drought-tolerant varieties. Leaf samples were collected from three-week-old seedlings, and genomic DNA was extracted via the CTAB method, a widely recognized protocol for obtaining high-quality DNA. The DNA samples were quantified to ensure consistent template concentrations for amplification via 25 SSR primers. PCR amplification was performed, followed by agarose gel electrophoresis to separate and visualize the SSR band patterns, which were then recorded in a binary matrix format on the basis of the presence or absence of bands. Among the SSR primers used, nine were polymorphic, generating 13 scorable markers, highlighting the genetic variability among the genotypes. The polymorphic information content (PIC) values ranged across the SSR loci, with the Xtxp145 locus exhibiting the highest PIC value of 0.998, indicating its high discriminatory power and informativeness in differentiating between genotypes. Genetic similarity indices were calculated via Jaccard's similarity coefficient [1], and the data were subjected to cluster analysis via the unweighted pair group method with arithmetic mean (UPGMA) method. The resulting dendrogram grouped the genotypes into seven main clusters at a 50% similarity threshold, underscoring the genetic diversity present within the sorghum genotypes studied. Cluster I contained a single genotype, SVD-1272R, whereas, Cluster II included seven genotypes with subcluster formation. Cluster III comprised one ungrouped genotype, SPV-486. Cluster IV included eight genotypes, whereas Clusters V, VI, and VII each contained a single ungrouped genotype. This dendrogram illustrates the genetic diversity and relationships among the sorghum genotypes on the basis of similarity indices. The findings of this study confirmed the efficacy of SSR markers in assessing genetic diversity and emphasized their potential utility in breeding programs aimed at improving drought tolerance.

Decomposing a San Francisco estuary microbiome using long-read metagenomics reveals species- and strain-level dominance from picoeukaryotes to viruses.

Ocean and estuarine microbiomes play critical roles in global element cycling and ecosystem function. Despite the importance of these microbial communities, many species still have not been cultured in the lab. Environmental sequencing is the primary way the function and population dynamics of these communities can be studied. Long-read sequencing provides an avenue to overcome limitations of short-read technologies to obtain complete microbial genomes but comes with its own technical challenges, such as needed sequencing depth and obtaining high-quality DNA. We present here new sampling and bioinformatics methods to attempt decomposing an estuarine microbiome into its constituent genomes. Our results suggest there are only a few strains that comprise most of the species abundances from viruses to picoeukaryotes, and to fully decompose a metagenome of this diversity requires 1 Tbp of long-read sequencing. We anticipate that as long-read sequencing technologies continue to improve, less sequencing will be needed.

Microbial Diversity Assessment in Soil from Dumping Sites: Isolation, DNA Extraction and Electrophoretic Analysis

This study aims to investigate the microbial diversity present in soil samples collected from various dumping sites, which are known for their complex and heterogeneous waste environments. The primary objective is to isolate and characterize the microbial communities inhabiting these soils, providing insights into their composition and potential ecological roles. Soil samples were collected by digging 5 cm deep at multiple dumping locations to ensure a representative sampling of the microbial populations. The collected soil samples underwent a serial dilution process, extending up to 10^-9 and 10^-10 dilutions, to facilitate the isolation of individual microbial colonies. These diluted samples were then inoculated onto Standard Potato Dextrose Agar (PDA) media, a nutrient-rich medium conducive to microbial growth. Following an incubation period, distinct bacterial colonies were observed and isolated for further analysis. DNA was extracted from the isolated bacterial colonies using a standard DNA extraction protocol. The quality and purity of the extracted DNA were assessed through gel electrophoresis, a technique that separates DNA fragments based on their size. Remarkably, the electrophoretic analysis revealed clear and distinct DNA bands along with RNA bands, indicating successful extraction of high-quality microbial DNA. Notably, this was achieved without the use of proteinase treatment, which is typically employed to remove protein contaminants from DNA samples. The results of this study underscore the robustness of the methodologies employed in isolating and characterizing microbial DNA from soil samples collected at dumping sites. The presence of distinct DNA and RNA bands highlights the effectiveness of the DNA extraction process, even in the absence of proteinase treatment. These findings provide valuable insights into the microbial diversity within dumping site soils, suggesting a rich and varied microbial community that may play significant roles in soil health and waste decomposition.

Improving DNA recovery and sample throughput using the PrepFiler™ Automated Forensic DNA Extraction Kit on two customised Tecan Fluent® 1080 Automated Workstations

One of the primary goals of forensic laboratories performing DNA recovery and profiling is obtaining a high-quality DNA extract from crime scene samples. This is largely dependent on the sensitivity and reliability of the DNA extraction chemistry utilised, as well as the liquid handling and contamination minimisation techniques employed. Automation of DNA extraction methods on large liquid handling platforms allows high-throughput laboratories to apply sensitive chemistries to reliably process a large number of samples, while minimising manual processes and cross-contamination.This study describes the first known implementation of the PrepFiler™ Automated Forensic DNA Extraction Kit on a Tecan Fluent® Gx 1080 Automation Workstation. Two Workstations were customised with the addition of novel “Safe Pipetting Modules” to eliminate sample crossover between wells, which is important in a forensic biology setting to reduce inadvertent DNA transfer. A comparison of DNA extraction efficiency between an optimised PrepFiler™ method and the DNA IQ™ System performed on a Perkin Elmer Janus® Integrator platform showed the optimised PrepFiler™ method consistently extracted a higher yield of DNA from a range of blood inputs, as well as blood and buccal swabs. The PrepFiler™ chemistry also more efficiently removed humic acid and haematin, reducing subsequent PCR inhibition. The subsequent implementation of the optimised PrepFiler™ method onto the Tecan Fluent® Gx workstations showed a further increase in sensitivity, with no evidence of DNA cross-contamination observed. However, the optimised PrepFiler™ method encountered difficulties extracting DNA from fabric substrates, with the PrepFiler Express™ chemistry extracting higher yields on the cartridge-based AutoMate Express™ System.Overall, this study demonstrated the Tecan Fluent® Gx 1080 Automation Workstation is a sensitive, reliable and robust method for DNA extraction using the PrepFiler™ Automated Forensic DNA Extraction Kit, and the addition of the novel Safe Pipetting Module makes this platform an attractive option for forensic biology laboratories where minimising inadvertent DNA transfer is of paramount importance.

Validated DNA isolation method ensuring successful long-read sequencing of cattle semen genome.

Obtaining high-quality DNA suitable for long-read sequencing can be difficult for many types of tissues and cells, and it is a key step in current genomic studies. The challenge is even greater when it comes to isolating genomic DNA from mammalian spermatozoa, as DNA is tightly packed into a cell with a robust membrane rich in disulfide bonds. Here we describe a method for isolating high molecular weight DNA from Bovine commercial semen straws. This protocol includes a cleaning step to remove diluents and preservatives used for the long-term storage of the semen, which may affect long read sequencing. It is based on a simple salting-out method and avoid the use of spin columns, strong mixing or intensive centrifugation, in order to limit DNA fragmentation. However, we have adapted this protocol to facilitate the disruption of cell membranes and disulfide bonds with strong chaotropic and reducing agents. The average size of the fragments produced was approximately 49 kb, ranging from 25 to 85 kb, according to the femto pulse profiles.This method was used to isolate DNA from semen straws, more than 80 of them were successfully sequenced using the Continuous Long-Read (CLR) sequencing mode on the PacBio SequelII platform to study genome diversity and notably to detect large structural variations within genomes.

Risk Factors Associated with Hepatitis C Subtypes and the Evolutionary History of Subtype 1a in Mexico.

The Hepatitis C Virus (HCV), with its diverse genotypes and subtypes, has significantly impacted the health of millions of people worldwide. Analyzing the risk factors is essential to understanding the spread of the disease and developing appropriate prevention strategies. This study aimed to identify risk factors associated with HCV subtype transmission and calculate the emergence time of subtype 1a in Mexico. A cross-sectional study was conducted from January 2014 to December 2018, involving 260 HCV-infected adults. HCV infection was confirmed via Enzyme-Linked Immunosorbent Assay, and viral load was measured by real-time PCR. Genotyping/subtyping tools were the Line Probe Assay and Sanger sequencing of the non-structural region 5B (NS5B). The most frequent HCV subtype was 1a (58.5%), followed by subtypes 1b (19.2%), 3a (13.1%), 2b (5.4%), 2a/2c (2.7%), 2a (0.8%), and 4a (0.4%). Intravenous drug use and tattoos were significant risk factors for subtypes 1a and 3a, while hemodialysis and blood transfusion were linked with subtype 1b. For the evolutionary analysis, 73 high-quality DNA sequences of the HCV subtype 1a NS5B region were used, employing a Bayesian coalescent analysis approach. This analysis suggested that subtype 1a was introduced to Mexico in 1976, followed by a diversification event in the mid-1980s. An exponential increase in cases was observed from 1998 to 2006, stabilizing by 2014. In conclusion, this study found that HCV subtypes follow distinct transmission routes, emphasizing the need for targeted prevention strategies. Additionally, the findings provide valuable insights into the origin of HCV subtype 1a. By analyzing the history, risk factors, and dynamics of the HCV epidemic, we have identified these measures: limiting the harm of intravenous drug trafficking, enhancing medical training and infrastructure, and ensuring universal access to antiviral treatments. The successful implementation of these strategies could lead to an HCV-free future in Mexico.

Optimization of the Method for Isolating Bacterial DNA from the Aboveground Part of Lettuce.

Developing an effective method for isolating bacterial genetic material from plants is a relatively challenging task and often does not yield adequately prepared material for further analyses. Previous studies often overlook connections, primarily focusing on laboratory investigations. With advancements in high-throughput sequencing techniques, we can now revisit and delve deeper into these interactions. Our study focuses on the initial phase of these investigations: genetic material isolation. Extracting bacterial DNA from aboveground plant parts, known as the phyllosphere, poses a significant challenge due to plant-derived contaminants. Existing isolation protocols frequently yield inconsistent results, necessitating continuous refinement and optimization. In our study, we developed an effective isolation protocol employing mechanical-chemical lysis, sonication, and membrane filtration. This approach yielded high-quality DNA at a concentration of 38.08 ng/µL, suitable for advanced sequencing applications. Our results underscore the effectiveness and necessity of these methods for conducting comprehensive microbiological analyses. Furthermore, our research not only lays the groundwork for further studies on lettuce microbiota, but also highlights the potential for utilizing our developed protocol in investigating other plants and their microbiomes.

A Comparison of Structural Variant Calling from Short-Read and Nanopore-Based Whole-Genome Sequencing Using Optical Genome Mapping as a Benchmark.

The identification of structural variants (SVs) in genomic data represents an ongoing challenge because of difficulties in reliable SV calling leading to reduced sensitivity and specificity. We prepared high-quality DNA from 9 parent-child trios, who had previously undergone short-read whole-genome sequencing (Illumina platform) as part of the Genomics England 100,000 Genomes Project. We reanalysed the genomes using both Bionano optical genome mapping (OGM; 8 probands and one trio) and Nanopore long-read sequencing (Oxford Nanopore Technologies [ONT] platform; all samples). To establish a "truth" dataset, we asked whether rare proband SV calls (n = 234) made by the Bionano Access (version 1.6.1)/Solve software (version 3.6.1_11162020) could be verified by individual visualisation using the Integrative Genomics Viewer with either or both of the Illumina and ONT raw sequence. Of these, 222 calls were verified, indicating that Bionano OGM calls have high precision (positive predictive value 95%). We then asked what proportion of the 222 true Bionano SVs had been identified by SV callers in the other two datasets. In the Illumina dataset, sensitivity varied according to variant type, being high for deletions (115/134; 86%) but poor for insertions (13/58; 22%). In the ONT dataset, sensitivity was generally poor using the original Sniffles variant caller (48% overall) but improved substantially with use of Sniffles2 (36/40; 90% and 17/23; 74% for deletions and insertions, respectively). In summary, we show that the precision of OGM is very high. In addition, when applying the Sniffles2 caller, the sensitivity of SV calling using ONT long-read sequence data outperforms Illumina sequencing for most SV types.