Obtaining a comprehensive picture of an organism’s genome
The aim of whole-genome sequencing (WGS) is to determine an organism’s complete DNA sequence in a single experiment, including a comprehensive picture of both the coding and non-coding regions. As such, WGS provides a comprehensive picture of both the coding and noncoding regions of chromosomal and mitochondrial DNA, as well as chloroplast DNA (in plants). WGS enables the detection of all types of genetic variation, including single-nucleotide polymorphisms (SNPs), small insertions and deletions (indels), and structural variants, such as translocations and copy number variation (CNV).
Among other applications, WGS research enables us to:
- gain deeper insight into the genomic basis of health, disease and ancestry than what is possible with targeted sequencing approaches
- discover biomarkers and understand pharmacogenetics
- perform genome-level comparative analysis, to identify synteny, orthologs and horizontal gene transfer events
- generate reference genomes for agriculturally important animals and plant, to assist with breeding
- support ecology and conservation biology
- understand disease outbreaks and public health
- secure food safety
- understand antibiotic resistance
- study microbiomes and their role in human health and disease
Sample Prep for WGS
As is the case for all NGS applications, sample prep constitutes the first step in the WGS workflow, and holds the key to unlocking the potential of every sample. Because NGS samples are precious, the best sample prep solutions are needed to process more samples successfully, get more information from every sample and optimize your sequencing resources. Roche Sample Prep Solutions offer an integrated approach to sample preparation, addressing all of the steps required to convert a sample to a sequencing-ready library. From sample collection to library quantification, we offer sample prep solutions for different sample types and sequencing applications that are proven, simple and complete.
Library construction for WGS starts with fragmenting DNA to the appropriate size, after which platform-specific adapters are added. PCR-free workflows are preferred for WGS, but in cases where input DNA is limited or is of poor quality, library amplification is required. WGS library construction protocols typically include a size-selection step as a narrow library fragment distribution facilitates data analysis. Quantification and QC of sequencing-ready libraries are important to ensure optimal clonal amplification on NGS platforms. After sequencing, sequence reads are aligned against a reference genome (reference-guided sequence assembly), or when no such reference is available, compared to each other and assembled into long contiguous segments (de novo sequencing). This general workflow applies to the sequencing of both simple (e.g. bacterial) and complex (e.g. human) genomes, but these applications pose very different challenges.
Learn more about sample prep for human WGS.
Learn more about sample prep for bacterial WGS.