whole genome sequencing
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What is whole genome sequencing?
Whole genome sequencing (WGS) determines the complete nucleic acid sequence of an organism's or organelle's genetic code, such as mitochondria or chloroplasts.
WGS has become routine in laboratories globally due to innovations in DNA sequencing and increasing cost-effectiveness in the early 21st century. WGS can reveal variations that correlate to predisposing factors for health or disease.
Next-generation sequencing technologies propelled WGS into mainstream biology. These technologies were originally designed to re-sequence genomes by aligning short sequences computationally to existing reference genome sequences.
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What is a genome?
The genome is an organism or organelle's complete set of nucleic acid sequences of genetic code. It comprises coding DNA regions encoding all the organism's genes and noncoding DNA regions.
Whole-genome sequencing determines the complete DNA sequence, allowing scientists to identify genes, compare homologous DNA sequences, and screen gene sequences for functional regions. This process facilitates the study of human populations, diseases, and the genetic makeup of various species. Genomics, which analyzes entire genomes, is divided into structural and functional areas. Structural genomics focuses on the complete nucleotide sequence of a genome, while functional genomics aims to understand gene function at the broadest level.
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How does whole genome sequencing read DNA?
Whole genome sequencing determines the complete nucleic acid sequence of an organism's or organelle's genome.
First, DNA is fragmented randomly into short segments, which are then inserted into bacterial cells as plasmids to create many copies. Next, the amplified segments undergo nucleic acid purification and sequence analysis. Finally, computer programs stitch the sequences back together, reconstructing the original DNA sequence.
The resulting complete DNA sequence is scanned by computer to find open reading frames, or prospective genes. The sequences are compared to known genes from other organisms, and possible functions are assigned. Next-generation technologies can re-sequence genomes by aligning short sequences computationally to existing reference genome sequences.
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What kinds of information can scientists learn from whole genome sequencing?
Whole genome sequencing allows scientists to deduce the complete nucleic acid sequence of an organism's or organelle's genome. This detailed understanding of the nucleic acid sequence is valuable, especially the variations correlating with health, disease, or other properties of societal or economic significance in microbial, animal, and plant populations.
Comparing full genomic sequences allows for detection of even subtle differences, and has revealed surprising similarities between seemingly distantly related animals. It facilitates the identification of genes associated with disease, enabling more objective and accurate diagnoses, sometimes even before symptoms appear. The recognition that human genomes may influence everything from disease risk to physiological response to medications has led to personalized medicine.
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How can whole genome sequencing help find genetic differences between people?
Whole genome sequencing (WGS) can help find genetic differences between people by mapping the complete nucleic acid sequence of an individual's genome. Comparing WGS data between individuals can reveal variations, such as single nucleotide polymorphisms (SNPs), which are linked to diseases or other traits.
Genome-wide association studies (GWAS) use WGS data to identify associations between genetic variations and particular diseases, assessing disease risk and responses to therapies. Comparative genomics, which involves comparing the genomes of different organisms or populations, can highlight subtle genetic differences and evolutionary relationships. Analyzing these variations helps in understanding the genetic basis of individual differences.
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How is whole genome sequencing used in medicine and research?
Whole genome sequencing (WGS) is determining the complete DNA sequence of an organism's genetic code. It has become routine in laboratories worldwide due to technological innovations and cost-effectiveness, marking a new era of biological discovery.
WGS is valuable for understanding how variations in the nucleic acid sequence correlate with health, disease predisposition, and other properties of societal or economic significance in microbial, animal, and plant populations. The human genome database has enabled the identification of genes associated with disease, leading to more objective and accurate diagnoses and influencing personalized medicine.
However, personalized medicine faces challenges, including the millions of variations in individual genomes compared to the reference sequence, requiring careful analysis across disciplines. Ethical concerns also exist, such as the underrepresentation of racial and ethnic minorities in genomic studies, potentially leading to ineffective treatment and poorer outcomes.
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whole genome sequencing, the act of deducing the complete nucleic acid sequence of the genetic code, or genome, of an organism or organelle (specifically, the mitochondrion or chloroplast). The first whole genome sequencing efforts, carried out in 1976 and 1977, focused respectively on the bacteriophages (bacteria-infecting viruses) MS2 and ΦX174, which have relatively small genomes. Since then there have been numerous innovations in the field of DNA sequencing that have expanded the capabilities of the technology. Those innovations, combined with increasing cost-effectiveness in the early 21st century, enabled the routine use of whole genome sequencing in laboratories worldwide, which effectively ushered in a new era of biological discovery. The power of the approach has been realized in the study of human populations and human diseases such as cancer, as well as in the elucidation of whole genome sequences of crop plants, livestock, and other species of scientific or agricultural significance. Thus, it is acknowledged generally that there exists great value in a detailed understanding of the nucleic acid sequence—especially the variations in the sequence that correlate with predisposition to health or disease states or with other properties of societal or economic significance in microbial, animal, and plant populations.
Sequencing methods: from genes to genomes
In 1944 Canadian-born American bacteriologist Oswald Avery and colleagues recognized that the hereditary material passed from parent to offspring was DNA. Subsequent genetic analyses carried out by other scientists on viruses, bacteria, yeast, fruit flies, and nematodes demonstrated that the intentional induction of mutations that disrupted the genetic code, combined with the analysis of observable traits (phenotypes) produced by such mutations, were important approaches to the study of gene function. Such studies, however, were able to query only a fraction of genes in a genome.
The first sequencing methods (the Maxam-Gilbert and Sanger methods), developed in the 1970s, were deployed to reveal the nucleic acid composition of individual genes and the relatively small genomes of certain viruses. The sequencing of larger genomes remained out of reach conceptually, because of high costs and the effort required, until the launch of the Human Genome Project (HGP) in 1990 in the United States. Although the project was not universally embraced, some recognized that technology had evolved to the point where whole genome sequencing of larger genomes could be considered realistically. Particularly important was the development of automated sequencing machines that employed fluorescence instead of radioactive decay for the detection of the sequencing reaction products. Automation offered new possibilities for scaling up the production of DNA sequencing to tackle large genomes.
An early aim of the HGP was to obtain the whole genome sequences of important experimental model organisms, such as the yeast Saccharomyces cerevisiae, the fruit fly Drosophila melanogaster, and the nematode Caenorhabditis elegans. In sequencing those smaller and therefore more-tractable genomes, three outcomes were anticipated. First, the sequences would be of value to the research community, serving to accelerate efforts to understand gene function by using model systems. Second, the experience gained would inform approaches to sequencing the human genome and other similarly sized genomes. Third, functional relationships between sequences of different organisms would be revealed as a consequence of cross-species sequence similarity. Ultimately, with the involvement of more than one thousand scientists worldwide, two human genome sequences were published in 2001. With this development came established methods and analytic standards that were used to sequence other large genomes.
A major challenge for de novo sequencing, in which sequences are assembled for the very first time (such as with the HGP), is the production of individual DNA reads that are of sufficient length and quality to span common repetitive elements, which are a general property of complex genome sequences and a source of ambiguity for sequence assembly. In many of the early de novo whole genome sequencing projects, emphasis was placed on the production of so-called reference sequences, which were of enduring high quality and would serve as the foundation for future experimentation.
An important approach used by many projects that sequenced large genomes involved hierarchical shotgun sequencing, in which segments of genomic DNA were cloned (copied) and arranged into ordered arrays. Those ordered arrays were known as physical maps, and they served to break large genomes into thousands of short DNA fragments. Those short fragments were then aligned, such that identical sequences overlapped, thereby enabling the fragments to be linked together to yield the full-length genomic sequence. The fragments were relatively easy to manipulate in the laboratory, could be apportioned among collaborating laboratories, and were amenable to the detailed error-correction exercises important in generating the high-quality reference sequences sought by HGP scientists. Some genome projects were conducted without the use of such maps, using instead an approach called whole genome shotgun sequencing. This approach avoided the time and expense needed to create physical maps and provided more-rapid access to the DNA sequence.
Whether using physical maps or the whole genome shotgun sequencing approach, the sequencing exercise involved randomly fragmenting either cloned (copied) or native genomic DNA into very short segments that could then be inserted into bacterial cells as plasmids for amplification, producing many copies of the segments, prior to nucleic acid purification and sequence analysis. In a process known as assembly, computer programs were then used to stitch the sequences back together to reconstruct the original DNA sequencing target. Assembly of whole genome shotgun sequencing data was difficult and required sophisticated computer programs and powerful supercomputers, and, even in the years following the completion of the HGP, whole genome shotgun sequence assembly remained a significant challenge for whole genome sequencing projects.
Next-generation technologies
Although the first whole genome sequences were in themselves technological and scientific feats of significance, the scientific opportunities and the host of technologies those projects spawned have had even greater impacts. Among the most significant technological developments has been in the area of next-generation DNA sequencing technologies for human genome analysis. Certain of those technologies originally were designed to re-sequence genomes (as opposed to de novo sequencing). In re-sequencing, short sequences are produced and aligned computationally to existing reference genome sequences generated, at least initially, using the older de novo sequencing methods. Next-generation sequencing approaches are characterized generally by the massively parallel production of short sequences, in which multiple DNA fragments are generated simultaneously and in sufficient quantity to redundantly represent every base in the target genome. Although such technologies propelled whole genome sequencing into the mainstream of biology, innovation persisted as companies and academic laboratories strived to reach the “$1,000 genome”—the mapping of an individual human genome for less than $1,000 (U.S.), which was anticipated in 2012.

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