Comparison of commercial DNA extraction kits for whole metagenome sequencing of human oral, vaginal, and rectal microbiome samples.

Introduction: Advancements in DNA extraction and sequencing technologies have been fundamental in deciphering the significance of the microbiome related to human health and pathology. Whole metagenome shotgun sequencing (WMS) is gaining popularity in use compared to its predecessor (i.e., amplicon-based approaches). However, like amplicon-based approaches, WMS is subject to bias from DNA extraction methods that can compromise the integrity of sequencing and subsequent findings. The purpose of this study was to evaluate systematic differences among four commercially available DNA extraction kits frequently used for WMS analysis of the microbiome. Methods: Oral, vaginal, and rectal swabs were collected in replicates of four by a healthcare provider from five participants and randomized to one of four DNA extraction kits. Two extraction blanks and three replicate mock community samples were also extracted using each extraction kit. WMS was completed with NovaSeq 6000 for all samples. Sequencing and microbial communities were analyzed using nonmetric multidimensional scaling and compositional bias analysis. Results: Extraction kits differentially biased the percentage of reads attributed to microbial taxa across samples and body sites. The PowerSoil Pro kit performed best in approximating expected proportions of mock communities. While HostZERO was biased against gram-negative bacteria, the kit outperformed other kits in extracting fungal DNA. In clinical samples, HostZERO yielded a smaller fraction of reads assigned to Homo sapiens across sites and had a higher fraction of reads assigned to bacterial taxa compared to other kits. However, HostZERO appears to bias representation of microbial communities and demonstrated the most dispersion by site, particularly for vaginal and rectal samples. Conclusions: Systematic differences exist among four frequently referenced DNA extraction kits when used for WMS analysis of the human microbiome. Consideration of such differences in study design and data interpretation is imperative to safeguard the integrity of microbiome research and reproducibility of results.

Cross-Site Evaluation of Commercial Sanger Sequencing Chemistries.

Sanger sequencing remains an essential tool utilized by researchers. Despite competition from commercial sequencing providers, many academic sequencing core facilities continue to offer these services based on a model of competitive pricing, knowledgeable technical support, and rapid turnaround time. In-house Sanger sequencing remains a viable core service and, until recently, Applied Biosystems BigDye Terminator chemistry was the only commercially available solution for Sanger DNA sequencing on Applied Biosystems (ABI) instruments; however, several new products employing novel dye chemistries and reaction configurations have entered the market. As a result, there is a need to benchmark the performance of these new chemistries on various DNA templates, including difficult-to-sequence templates, and their amenability to commonly employed cost-saving measures, such as dye dilution and reaction miniaturization. To evaluate these new reagents, a study was designed to compare the quality of Sanger sequencing data produced by ABI BigDye and commercially available kits from 2 other vendors using both control and difficult-to-sequence DNA templates under various reaction conditions. This study will serve as a valuable resource to core facilities conducting Sanger sequencing that wish to evaluate the use of an alternative chemistry in their sequencing core.

Multisite Evaluation of Next-Generation Methods for Small RNA Quantification.

Small RNAs (smRNAs) are important regulators of many biologic processes and are now most frequently characterized using Illumina sequencing. However, although standard RNA sequencing library preparation has become routine in most sequencing facilities, smRNA sequencing library preparation has historically been challenging because of high input requirements, laborious protocols involving gel purifications, inability to automate, and a lack of benchmarking standards. Additionally, studies have suggested that many of these methods are nonlinear and do not accurately reflect the amounts of smRNAs in vivo. Recently, a number of new kits have become available that permit lower input amounts and less laborious, gel-free protocol options. Several of these new kits claim to reduce RNA ligase-dependent sequence bias through novel adapter modifications and to lessen adapter-dimer contamination in the resulting libraries. With the increasing number of smRNA kits available, understanding the relative strengths of each method is crucial for appropriate experimental design. In this study, we systematically compared 9 commercially available smRNA library preparation kits as well as NanoString probe hybridization across multiple study sites. Although several of the new methodologies do reduce the amount of artificially over- and underrepresented microRNAs (miRNAs), we observed that none of the methods was able to remove all of the bias in the library preparation. Identical samples prepared with different methods show highly varied levels of different miRNAs. Even so, many methods excelled in ease of use, lower input requirement, fraction of usable reads, and reproducibility across sites. These differences may help users select the most appropriate methods for their specific question of interest.

Cross-site comparison of ribosomal depletion kits for Illumina RNAseq library construction.

BACKGROUND: Ribosomal RNA (rRNA) comprises at least 90% of total RNA extracted from mammalian tissue or cell line samples. Informative transcriptional profiling using massively parallel sequencing technologies requires either enrichment of mature poly-adenylated transcripts or targeted depletion of the rRNA fraction. The latter method is of particular interest because it is compatible with degraded samples such as those extracted from FFPE and also captures transcripts that are not poly-adenylated such as some non-coding RNAs. Here we provide a cross-site study that evaluates the performance of ribosomal RNA removal kits from Illumina, Takara/Clontech, Kapa Biosystems, Lexogen, New England Biolabs and Qiagen on intact and degraded RNA samples. RESULTS: We find that all of the kits are capable of performing significant ribosomal depletion, though there are differences in their ease of use. All kits were able to remove ribosomal RNA to below 20% with intact RNA and identify ~ 14,000 protein coding genes from the Universal Human Reference RNA sample at >1FPKM. Analysis of differentially detected genes between kits suggests that transcript length may be a key factor in library production efficiency. CONCLUSIONS: These results provide a roadmap for labs on the strengths of each of these methods and how best to utilize them.

Next-generation sequencing fragment library construction.

All current next-generation sequencing (NGS) platforms and applications require the sequencing library to have specific characteristics: in particular, size, size distribution, and 5' and 3' flanking sequences. This unit presents a robust protocol for converting a wide variety of input DNA samples into appropriate NGS libraries and discusses important considerations in experimental design, failure modes, and typical results.

Next-Generation Sequencing RNA-Seq Library Construction.

This unit presents protocols for construction of next-generation sequencing (NGS) directional RNA sequencing libraries for the Illumina HiSeq and MiSeq from a wide variety of input RNA sources. The protocols are based on the New England Biolabs (NEB) small RNA library preparation set for Illumina, although similar kits exist from different vendors. The protocol preserves the orientation of the original RNA in the final sequencing library, enabling strand-specific analysis of the resulting data. These libraries have been used for differential gene expression analysis and small RNA discovery and are currently being tested for de novo transcriptome assembly. The protocol is robust and applicable to a broad range of RNA input types and RNA quality, making it ideal for high-throughput laboratories.