Library Preparation Procedure Research Articles

All-optical voltage imaging-guided postsynaptic single-cell transcriptome profiling with Voltage-Seq.

Neuronal pathways recruit large postsynaptic populations and maintain connections via distinct postsynaptic response types (PRTs). Until recently, PRTs were accessible as a selection criterion for single-cell RNA sequencing only through probing by low-throughput whole-cell electrophysiology. To overcome these limitations and target neurons on the basis of specific PRTs for soma collection and subsequent single-cell RNA sequencing, we developed Voltage-Seq using the genetically encoded voltage indicator Voltron in acute brain slices from mice. We also created an onsite analysis tool, VoltView, to guide soma collection of specific PRTs using a classifier based on a previously acquired database of connectomes from multiple animals. Here we present our procedure for preparing the optical path, the imaging setup and detailing the imaging and analysis steps, as well as a complete procedure for sequencing library preparation. This enables researchers to conduct our high-throughput all-optical synaptic assay and to obtain single-cell transcriptomic data from selected postsynaptic neurons. This also allows researchers to resolve the connectivity ratio of a specific pathway and explore the diversity of PRTs within that connectome. Furthermore, combining high throughput with quick analysis gives unique access to find specific connections within a large postsynaptic connectome. Voltage-Seq also allows the investigation of correlations between connectivity and gene expression changes in a postsynaptic cell-type-specific manner for both excitatory and inhibitory connections. The Voltage-Seq workflow can be completed in ~6 weeks, including 4-5 weeks for viral expression of the Voltron sensor. The technique requires knowledge of basic laboratory techniques, micromanipulator handling skills and experience in molecular biology and bioinformatics.

Abstract 320: Development and automation of a streamlined targeted enrichment method for cancer mutation detection

Abstract Next Generation Sequencing (NGS) of DNA is a powerful tool for the detection of genetic variations, including single nucleotide polymorphisms, copy number variation, and small insertions/deletions. Target enrichment technologies enhance DNA sequencing by enabling users to analyze specific regions of interest only, which helps to effectively increase sequencing depth and sample throughput while minimizing cost. However, many targeted DNA library construction workflows are not optimal for routine genetic testing needs due to inconsistent, lengthy workflow. This poses significant challenge to application like cancer mutation profiling that requires detection sensitivity down to 1% or below due to heterogeneous nature of tumor tissue. In addition, high throughput testing with minimal hands on time is desirable with the rapid advance of precision medicine. Magnetic bead separations are commonly used between the individual reactions of targeted DNA library preparation workflows for cleanup and size selection. These bead clean up reactions are not only labor-intensive and tedious procedures but can also greatly contribute to sample-to sample variation especially when employing automated library preparation procedures. With the sophisticated QIAseq Targeted DNA Pro, we developed a novel streamlined targeted DNA workflow that greatly reduces handling variation by replacing the majority of bead clean up steps with enzymatic reactions, which now can be finished in as little as six hours. In combination with the newly developed QIAseq Normalizer kit, the protocol has been successfully implemented on the Hamilton NGS Star liquid handling platform resulting in up to 96 highly uniform, complex and ready-to-sequence libraries that can be effortless generated in one run. This complete automated solution saves researcher up to four hours of hands-on time. When using commercial reference samples, cancer mutations down to 1% were consistently detected with this automated workflow. The presented data demonstrate that this integrated and streamlined workflow does not only provide an automation friendly workflow but also allows to reliably identify low frequent cancer mutations. The applications presented here are for research use only. Not for use in diagnostic procedures. Citation Format: Zhong Wu, Michelle Baird, Cornelia Mechlen, Peter Hahn, Jonathan M. Shaffer. Development and automation of a streamlined targeted enrichment method for cancer mutation detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 320.

Abstract 5632: Advancing transcriptome insights during RNA-Seq library construction of FFPE samples in a novel workflow

Abstract Formalin-fixed, paraffin-embedded (FFPE) tumor tissue has significant clinical benefits in oncology research and is considered vital for studying tumor gene expression through RNA sequencing (RNA-Seq). However, RNA extracted from FFPE samples tends to be severely degraded, making it suboptimal for constructing high-quality RNA-Seq libraries. The RNA-Seq workflow can further impair data quality, as traditional library preparation and pre-library ribodepletion workflows may result in the loss of valuable information due to rare transcripts being not captured or washed away. Moreover, small, degraded fragments are a challenging template for ligases, and the resulting adapter addition may be inadequate. Here we assessed a novel workflow employing a proprietary enzyme to overcome the limitations and biases of cDNA synthesis using reverse transcriptase (RT) and ligases. This innovative RNA-Seq library preparation approach, coupled with a post-library ribodepletion strategy, aims to capture a more complete transcriptome profile from RNA extracted from FFPE breast cancer samples, and can also be used for evaluation of gene regulation through intronic and intergenic bases. The study also compared two commercially available kits, RecoverAll and PureLink, for FFPE RNA extraction, evaluating quality metrics such as RNA integrity number (RIN), DV200, recovery of small RNAs during NGS library construction, and transcriptome coverage. A parallel fresh frozen RNA sample, extracted using a phenol-based reagent, served as a benchmark. Our findings demonstrate that the novel workflow yields a richer dataset, encompassing a wider range of transcriptomic elements, including both small and long RNAs from FFPE samples. Performing ribodepletion after the library preparation procedure led to increased detection of small RNAs compared to pre-library ribodepletion. The robust analytical performance of this streamlined library preparation protocol enables its suitability for RNA-Seq analysis of archived FFPE specimens, offering substantial utility for oncology research. Citation Format: Cissy Jiang, Elizabeth Jordan Dreskin, Angelica Olcott, Linda Lingelbach, Srikanth Perike. Advancing transcriptome insights during RNA-Seq library construction of FFPE samples in a novel workflow [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5632.

MEnrich-seq: methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome.

Metagenomics has enabled the comprehensive study of microbiomes. However, many applications would benefit from a method that sequences specific bacterial taxa of interest, but not most background taxa. We developed mEnrich-seq (in which 'm' stands for methylation and seq for sequencing) for enriching taxa of interest from metagenomic DNA before sequencing. The core idea is to exploit the self versus nonself differentiation by natural bacterial DNA methylation and rationally choose methylation-sensitive restriction enzymes, individually or in combination, to deplete host and background taxa while enriching targeted taxa. This idea is integrated with library preparation procedures and applied in several applications to enrich (up to 117-fold) pathogenic or beneficial bacteria from human urine and fecal samples, including species that are hard to culture or of low abundance. We assessed 4,601 bacterial strains with mapped methylomes so far and showed broad applicability of mEnrich-seq. mEnrich-seq provides microbiome researchers with a versatile and cost-effective approach for selective sequencing of diverse taxa of interest.

Updated Pseudo-seq Protocol for Transcriptome-Wide Detection of Pseudouridines.

Pseudouridine (Ψ), the most prevalent modified base in cellular RNAs, has been mapped to numerous sites not only in rRNAs, tRNAs, and snRNAs but also mRNAs. Although there have been multiple techniques to identify Ψs, due to the recent development of sequencing technologies some reagents are not compatible with the current sequencer. Here, we show the updated Pseudo-seq, a technique enabling the genome-wide identification of pseudouridylation sites with single-nucleotide precision. We provide a comprehensive description of Pseudo-seq, covering protocols for RNA isolation from human cells, library preparation, and detailed data analysis procedures. The methodology presented is easily adaptable to any cell or tissue type with high-quality mRNA isolation. It can be used for discovering novel pseudouridylation sites, thus constituting a crucial initial step toward understanding the regulation and function of this modification. Key features • Identification of Ψ sites on mRNAs. • Updated Pseudo-seq provides precise positional and quantitative information of Ψ. • Uses a more efficient library preparation with the latest, currently available materials.

A highly efficient scheme for library preparation from single-stranded DNA

Although methods for sequencing library preparation from double-stranded DNA are well established, those from single-stranded DNA (ssDNA) have not been well studied. Further, the existing methods have limitations in efficiency and yield. Therefore, we developed a highly efficient procedure for sequencing library preparation from ssDNA. In this method, the first adaptor tagging of ssDNA is performed using terminal deoxyribonucleotidyl transferase (TdT)-assisted adenylate connector-mediated ssDNA (TACS) ligation, which we reported recently. After complementary strand synthesis using the adaptor-tagged ssDNA, second adaptor tagging via Vaccinia virus topoisomerase I (VTopoI or TOPO)-based adaptor ligation is performed. With additional steps for degradation, repression, and removal of the adaptor dimer, the proposed TACS-TOPO scheme realizes adaptor dimer-free sequencing library preparation from ssDNA samples of 24 pg. The TACS-TOPO scheme was successfully applied to cell-free DNA analysis with amplification-free library preparation from 50 µL of human serum. A modified TACS-TOPO scheme was also applied to DNA extracted from ancient human bones, bringing two to eight times more library yields than those using a conventional library preparation protocol. The procedures for preparing VTopoI and its complex with a double-stranded oligonucleotide adaptor are also described. Overall, the proposed TACS-TOPO scheme can facilitate practical and sensitive sequencing analysis of ssDNA.

Optimized bisulfite sequencing analysis reveals the lack of 5-methylcytosine in mammalian mitochondrial DNA

BackgroundDNA methylation is one of the best characterized epigenetic modifications in the mammalian nuclear genome and is known to play a significant role in various biological processes. Nonetheless, the presence of 5-methylcytosine (5mC) in mitochondrial DNA remains controversial, as data ranging from the lack of 5mC to very extensive 5mC have been reported.ResultsBy conducting comprehensive bioinformatic analyses of both published and our own data, we reveal that previous observations of extensive and strand-biased mtDNA-5mC are likely artifacts due to a combination of factors including inefficient bisulfite conversion, extremely low sequencing reads in the L strand, and interference from nuclear mitochondrial DNA sequences (NUMTs). To reduce false positive mtDNA-5mC signals, we establish an optimized procedure for library preparation and data analysis of bisulfite sequencing. Leveraging our modified workflow, we demonstrate an even distribution of 5mC signals across the mtDNA and an average methylation level ranging from 0.19% to 0.67% in both cell lines and primary cells, which is indistinguishable from the background noise.ConclusionsWe have developed a framework for analyzing mtDNA-5mC through bisulfite sequencing, which enables us to present multiple lines of evidence for the lack of extensive 5mC in mammalian mtDNA. We assert that the data available to date do not support the reported presence of mtDNA-5mC.

A characteristic comparison of cell-free DNA isolated from plasma and cerebrospinal fluid in patients with cancer.

e14008 Background: Cell-free DNA (cfDNA) from plasma has proved its power as a liquid biopsy analyte in many cancer types, except cancers from central nervous system (CNS). CfDNA from cerebrospinal fluid (CSF) better recapitulates mutations for primary CNS tumors or cancer brain metastasis. The characteristics of cfDNA from plasma, including concentration range, mutation frequency, length, end motif etc. have been thoroughly studied, while the features of cfDNA from CSF are yet to be investigated. Methods: We retrospectively reviewed records since 2021 from a clinical sequencing center, and selected samples from patients with non-small cell lung cancer. CfDNA from 30 CSF and 85 plasma samples was isolated, followed by NGS library preparation procedures, and enriched with a 680-gene panel. Fragmentation features including cfDNA length distribution and frequency of 6-bp end motif sequences were analyzed after removal of UMI. K-means clustering algorithm was utilized to analyze fragment motifs. Results: The mean concentration of cfDNA isolated from plasma and CSF was 13.46 ng/mL (1.28 – 96.40, 95%) and 26.82 ng/mL (2.80-382.00, 95%) respectively. A larger proportion of longer cfDNA fragments (>200bp) in CSF sample was observed, 37.8% in CSF VS 22.8% in plasma. Several end motifs were identified to be highly enriched in either sample type, and we found that sample types could be separated by K-means clustering from top 10 motifs. Conclusions: CSF is a less complicated solution system than plasma, regarding chemical constitutes. The cfDNA length distribution and motif patters are distinguishable in CSF and plasma. Our analysis demonstrated that the characteristics of cfDNA in CSF are obviously different from cfDNA in plasma, and the underlying mechanism remains to be clarified.

Comparison of mutation detection rate between cell pellet DNA and cell-free DNA from cerebrospinal fluid in patients with advanced lung cancer.

e21014 Background: Liquid biopsy of cerebrospinal fluid (CSF) has been approved to be a promising strategy for molecular pathology testing in patients with lung cancer. Numerous studies showed that CSF-derived DNA can recapitulate the molecular characteristics of metastatic lung cancer. However, differences in mutation detection rate and the overall mutational profile between cell pellet DNA and supernatant cell-free DNA (cfDNA) from CSF in patients with lung cancer have rarely been reported. Methods: Matched CSF cell pellet and supernatant sample sets were selected from 51 lung cancer patients in our sequencing center. CSF was centrifuged (1000g, 10 min) to separate the cell pellet and supernatant components. Cellular DNA and cfDNA were extracted and underwent library preparation procedures for next-generation sequencing respectively. Cut adapter, mapping, fusion calling and cnv calling were performed for sequencing data analysis. Results: At the sample level, gene mutation could be detected in both CSF cell pellet and cfDNA, and the positive detection rate of gene mutation was consistent. The positive percent agreement (PPA) of CSF cfDNA sequencing compared with CSF cell pellet DNA was 93%. At the genetic variation level, 223 gene mutation sites were detected, and the positive rate of gene mutation in the CSF cfDNA (32.51%) was significantly higher than that in the CSF cell pellet (10.74%, p＜0.01). Additionally，the variation rate of less than 1% was defined as the low-frequency mutation range. Results showed that variant allele frequency (VAF) in CSF cfDNA were remarkably higher than those in the CSF cell pellet in both low-and high-frequency mutation ranges ( p＜0.01, p＜0.01). Conclusions: Both cell pellet DNA and cfDNA isolated from CSF can be used for molecular subtyping of lung cancer. Given that CSF is inevitably contaminated with blood cells in clinical procedures, the dynamic range of tumor cells in CSF could be quite large. CSF cfDNA better recapitulate the mutational status and is recommended to consider first for liquid biopsy in advanced lung cancer with brain metastases or suspicious brain metastases. Key words: Next-generation sequencing; CSF; cell pellet DNA; cfDNA; advanced lung cancer.

Identification of RNA-Binding Protein Targets with HyperTRIBE in Saccharomyces cerevisiae.

As a master regulator in cells, RNA-binding protein (RBP) plays critical roles in organismal development, metabolism and various diseases. It regulates gene expression at various levels mostly by specific recognition of target RNA. The traditional CLIP-seq method to detect transcriptome-wide RNA targets of RBP is less efficient in yeast due to the low UV transmissivity of their cell walls. Here, we established an efficient HyperTRIBE (Targets of RNA-binding proteins Identified By Editing) in yeast, by fusing an RBP to the hyper-active catalytic domain of human RNA editing enzyme ADAR2 and expressing the fusion protein in yeast cells. The target transcripts of RBP were marked with new RNA editing events and identified by high-throughput sequencing. We successfully applied HyperTRIBE to identifying the RNA targets of two yeast RBPs, KHD1 and BFR1. The antibody-free HyperTRIBE has competitive advantages including a low background, high sensitivity and reproducibility, as well as a simple library preparation procedure, providing a reliable strategy for RBP target identification in Saccharomyces cerevisiae.

Blocking Abundant RNA Transcripts by High-Affinity Oligonucleotides during Transcriptome Library Preparation

BackgroundRNA sequencing has become the gold standard for transcriptome analysis but has an inherent limitation of challenging quantification of low-abundant transcripts. In contrast to microarray technology, RNA sequencing reads are proportionally divided in function of transcript abundance. Therefore, low-abundant RNAs compete against highly abundant - and sometimes non-informative - RNA species.ResultsWe developed an easy-to-use strategy based on high-affinity RNA-binding oligonucleotides to block reverse transcription and PCR amplification of specific RNA transcripts, thereby substantially reducing their abundance in the final sequencing library. To demonstrate the broad application potential of our method, we applied it to different transcripts and library preparation strategies, including YRNAs in small RNA sequencing of human blood plasma, mitochondrial rRNAs in both 3′ end sequencing and long-read sequencing, and MALAT1 in single-cell 3′ end sequencing. We demonstrate that the blocking strategy is highly efficient, reproducible, specific, and generally results in better transcriptome coverage and complexity.ConclusionOur method does not require modifications of the library preparation procedure apart from simply adding blocking oligonucleotides to the RT reaction and can thus be easily integrated into virtually any RNA sequencing library preparation protocol.

Comparison of genotyping by sequencing procedures to determine population genetic structure.

Advancements in technology over the past few decades have resulted in the development of genome sequencing at lower costs. Protocols, costs, and the amount of data produced by different sequencing technologies are highly variable. Ion Torrent and Illumina sequencing instruments are two sequencing technologies which use very similar library preparation procedures. Enzymatic combinations can be changed in genotyping by sequencing (GbS) library protocols without significant adjustments. To compare the outputs from two different GbS procedures, we sequenced samples of two sister species of yellow-nosed albatross collected at multiple geographic locations. The data sets involving different sequencing instruments and enzymatic combinations were analysed using the Stacks pipeline and aligned to the same reference genome. Both procedures identified the same genetic clusters separating Atlantic and Indian yellow-nosed albatross and substructure within Indian yellow-nosed albatross.

Reduced Representation Bisulfite Sequencing (RRBS).

Reduced representation bisulfite sequencing (RRBS) enriches CpG-rich genomic regions using the MspI restriction enzyme-which cuts DNA at all CCGG sites, regardless of their DNA methylation status at the CG site-and enables the measurement of DNA methylation levels at 5%~10% of all CpG sites in the mammalian genome. RRBS has been utilized in a large number of studies as a cost-effective method to investigate DNA methylation patterns, mainly at gene promoters and CpG islands. Here, we describe protocols for gel-free preparation of RRBS libraries, quality control, sequencing, and data analysis. Our protocols typically require nine cycles of polymerase chain reaction (PCR) amplification to obtain a sufficient amount of library for sequencing when 100ng of genomic DNA is used as a starting material; moreover, it takes 3days to complete library preparation and quality control procedures for up to eight samples.

Sequencing of Enteric Bacteria: Library Preparation Procedure Matters for Accurate Identification and Characterization.

Enzymatic library preparation kits are increasingly used for bacterial whole genome sequencing. While they offer a rapid workflow, the transposases used in the kits are recognized to be somewhat biased. The aim of this study was to optimize and validate a protocol for the Illumina DNA Prep kit (formerly Nextera DNA Flex) for sequencing enteric pathogens and compare its performance against the Nextera XT kit. One hundred forty-three strains of Campylobacter, Escherichia, Listeria, Salmonella, Shigella, and Vibrio were prepared with both methods and sequenced on the Illumina MiSeq using 300 and/or 500 cycle chemistries. Sequences were compared using core genome multilocus sequence typing (cgMLST), 7-gene multilocus sequence typing (MLST), and detection of markers encoding serotype, virulence, and antimicrobial resistance. Sequences for one Escherichia strain were downsampled to determine the minimum coverage required for the analyses. While organism-specific differences were observed, the Prep libraries generated longer average read lengths and less fragmented assemblies compared to the XT libraries. In downstream analysis, the most notable difference between the kits was observed for Escherichia, particularly for the 300 cycle sequences. The O group was not predicted in 32% and 4% of XT sequences when using blast and kmer algorithms, respectively, while the O group was predicted from all Prep sequences regardless of the algorithm. In addition, the ehxA gene was not detected in 6% of XT sequences and 34% were missing one or more of the type III secretion systems and/or plasmid-associated genes, which were detected in the Prep sequences. The coverage downsampling revealed that acceptable assembly quality and allele detection was achieved at 30 × coverage with the Prep libraries, whereas 40-50 × coverage was required for the XT libraries. The better performance of the Prep libraries was attributed to more even coverage, particularly in genome regions low in GC content.

Direct adenylation from 5'-OH-terminated oligonucleotides by a fusion enzyme containing Pfu RNA ligase and T4 polynucleotide kinase.

5′-Adenylated oligonucleotides (AppOligos) are widely used for single-stranded DNA/RNA ligation in next-generation sequencing (NGS) applications such as microRNA (miRNA) profiling. The ligation between an AppOligo adapter and target molecules (such as miRNA) no longer requires ATP, thereby minimizing potential self-ligations and simplifying library preparation procedures. AppOligos can be produced by chemical synthesis or enzymatic modification. However, adenylation via chemical synthesis is inefficient and expensive, while enzymatic modification requires pre-phosphorylated substrate and additional purification. Here we cloned and characterized the Pfu RNA ligase encoded by the PF0353 gene in the hyperthermophilic archaea Pyrococcus furiosus. We further engineered fusion enzymes containing both Pfu RNA ligase and T4 polynucleotide kinase. One fusion enzyme, 8H-AP, was thermostable and can directly catalyze 5′-OH-terminated DNA substrates to adenylated products. The newly discovered Pfu RNA ligase and the engineered fusion enzyme may be useful tools for applications using AppOligos.

Enhanced DNA and RNA pathogen detection via metagenomic sequencing in patients with pneumonia

BackgroundMetagenomic next-generation sequencing (mNGS) is an important supplement to conventional tests for pathogen detections of pneumonia. However, mNGS pipelines were limited by irregularities, high proportion of host nucleic acids, and lack of RNA virus detection. Thus, a regulated pipeline based on mNGS for DNA and RNA pathogen detection of pneumonia is essential.MethodsWe performed a retrospective study of 151 patients with pneumonia. Three conventional tests, culture, loop-mediated isothermal amplification (LAMP) and viral quantitative real-time polymerase chain reaction (qPCR) were conducted according to clinical needs, and all samples were detected using our optimized pipeline based on the mNGS (DNA and RNA) method. The performances of mNGS and three other tests were compared. Human DNA depletion was achieved respectively by MolYsis kit and pre-treatment using saponin and Turbo DNase. Three RNA library preparation methods were used to compare the detection performance of RNA viruses.ResultsAn optimized mNGS workflow was built, which had only 1-working-day turnaround time. The proportion of host DNA in the pre-treated samples decreased from 99 to 90% and microbiome reads achieved an approximately 20-fold enrichment compared with those without host removal. Meanwhile, saponin and Turbo DNase pre-treatment exhibited an advantage for DNA virus detection compared with MolYsis. Besides, our in-house RNA library preparation procedure showed a more robust RNA virus detection ability. Combining three conventional methods, 76 (76/151, 50.3%) cases had no clear causative pathogen, but 24 probable pathogens were successfully detected in 31 (31/76 = 40.8%) unclear cases using mNGS. The agreement of the mNGS with the culture, LAMP, and viral qPCR was 60%, 82%, and 80%, respectively. Compared with all conventional tests, mNGS had a sensitivity of 70.4%, a specificity of 72.7%, and an overall agreement of 71.5%.ConclusionsA complete and effective mNGS workflow was built to provide timely DNA and RNA pathogen detection for pneumonia, which could effectively remove the host sequence, had a higher microbial detection rate and a broader spectrum of pathogens (especially for viruses and some pathogens that are difficult to culture). Despite the advantages, there are many challenges in the clinical application of mNGS, and the mNGS report should be interpreted with caution.

Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE.

Whole-genome single-cell DNA sequencing (scDNA-seq) enables the characterization of copy number profiles at the cellular level. This circumvents the averaging effects associated with bulk-tissue sequencing and has increased resolution yet decreased ambiguity in deconvolving cancer subclones and elucidating cancer evolutionary history. ScDNA-seq data is, however, sparse, noisy, and highly variable even within a homogeneous cell population, due to the biases and artifacts that are introduced during the library preparation and sequencing procedure. Here, we describe SCOPE, a normalization and copy number estimation method for scDNA-seq data. We give an overview of the methodology and illustrate SCOPE with step-by-step demonstrations.

Development and evaluation of a ligation-free sequence-independent, single-primer amplification (LF-SISPA) assay for whole genome characterization of viruses

Molecular identification and characterization of novel or re-emerging infectious pathogens is critical for disease surveillance and outbreak investigations. Next generation sequencing (NGS) using Sequence-Independent, Single-Primer Amplification (SISPA) is being used extensively in sequencing of viral genomes but it requires an expensive library preparation step. We developed a simple, low-cost method that enriches nucleic acids followed by a ligation-free (LF) 2-step Polymerase Chain Reaction (PCR) procedure for library preparation. A pan-chimeric universal primer (JS15N14) containing 15 nucleotides with a random tetradecamer (14N) attached to the 3′-end was designed. The complimentary primer (JS15) was used for nucleic acid enrichment in a first round PCR. A second PCR was designed to create Illumina sequencer-compatible sequencing-ready libraries for NGS. The new LF-SISPA protocol was tested using six RNA and DNA viral genomes (10.8–229.4 kilobases, kb) from an ATCC virome nucleic acid mix (ATCC® MSA-1008™) followed by analysis using One Codex, an online identification tool. In addition, a human stool sample known to be positive for norovirus GII was sequenced, and de novo assembly was performed using the Genome Detective Virus Tool allowing for near complete genome identification in less than 24 h. The LF-SISPA method does not require prior knowledge of target sequences and does not require an expensive enzymatic library preparation kit, thereby providing a simple, fast, low-cost alternative for the identification of unknown viral pathogens.

Measurement Biases Distort Cell-Free DNA Fragmentation Profiles and Define the Sensitivity of Metagenomic Cell-Free DNA Sequencing Assays.

BackgroundMetagenomic sequencing of microbial cell-free DNA (cfDNA) in blood and urine is increasingly used as a tool for unbiased infection screening. The sensitivity of metagenomic cfDNA sequencing assays is determined by the efficiency by which the assay recovers microbial cfDNA vs host-specific cfDNA. We hypothesized that the choice of methods used for DNA isolation, DNA sequencing library preparation, and sequencing would affect the sensitivity of metagenomic cfDNA sequencing.MethodsWe characterized the fragment length biases inherent to select DNA isolation and library preparation procedures and developed a model to correct for these biases. We analyzed 305 cfDNA sequencing data sets, including publicly available data sets and 124 newly generated data sets, to evaluate the dependence of the sensitivity of metagenomic cfDNA sequencing on pre-analytical variables.ResultsLength bias correction of fragment length distributions measured from different experimental procedures revealed the ultrashort (<100 bp) nature of microbial-, mitochondrial-, and host-specific urinary cfDNA. The sensitivity of metagenomic sequencing assays to detect the clinically reported microorganism differed by more than 5-fold depending on the combination of DNA isolation and library preparation used.ConclusionsSubstantial gains in the sensitivity of microbial and other short fragment recovery can be achieved by easy-to-implement changes in the sample preparation protocol, which highlights the need for standardization in the liquid biopsy field.

Evaluation of the Effects of Library Preparation Procedure and Sample Characteristics on the Accuracy of Metagenomic Profiles.

ABSTRACTShotgun metagenomic sequencing has transformed our understanding of microbial community ecology. However, preparing metagenomic libraries for high-throughput DNA sequencing remains a costly, labor-intensive, and time-consuming procedure, which in turn limits the utility of metagenomes. Several library preparation procedures have recently been developed to offset these costs, but it is unclear how these newer procedures compare to current standards in the field. In particular, it is not clear if all such procedures perform equally well across different types of microbial communities or if features of the biological samples being processed (e.g., DNA amount) impact the accuracy of the approach. To address these questions, we assessed how five different shotgun DNA sequence library preparation methods, including the commonly used Nextera Flex kit, perform when applied to metagenomic DNA. We measured each method’s ability to produce metagenomic data that accurately represent the underlying taxonomic and genetic diversity of the community. We performed these analyses across a range of microbial community types (e.g., soil, coral associated, and mouse gut associated) and input DNA amounts. We find that the type of community and amount of input DNA influence each method’s performance, indicating that careful consideration may be needed when selecting between methods, especially for low-complexity communities. However, the cost-effective preparation methods that we assessed are generally comparable to the current gold-standard Nextera DNA Flex kit for high-complexity communities. Overall, the results from this analysis will help expand and even facilitate access to metagenomic approaches in future studies.IMPORTANCE Metagenomic library preparation methods and sequencing technologies continue to advance rapidly, allowing researchers to characterize microbial communities in previously underexplored environmental samples and systems. However, widely accepted standardized library preparation methods can be cost-prohibitive. Newly available approaches may be less expensive, but their efficacy in comparison to standardized methods remains unknown. In this study, we compared five different metagenomic library preparation methods. We evaluated each method across a range of microbial communities varying in complexity and quantity of input DNA. Our findings demonstrate the importance of considering sample properties, including community type, composition, and DNA amount, when choosing the most appropriate metagenomic library preparation method.