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Evolutionary Relationships through Genome Comparisons02:54

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Tracing SARS-CoV-2 clusters across local scales using genomic data.

Leke Lyu1,2,3,4, Mandev Gill1,2,5, Guppy Stott1,2,3,4

  • 1Institute of Bioinformatics, University of Georgia, Athens, GA 30602.

Proceedings of the National Academy of Sciences of the United States of America
|August 7, 2025
PubMed
Summary
This summary is machine-generated.

Understanding local virus spread is key for prevention. This study traced over 1,000 SARS-CoV-2 introductions in Houston, revealing domestic sources and age-structured transmission dynamics, aiding public health planning.

Keywords:
genomic epidemiologypandemic controlviral evolution

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Area of Science:

  • Epidemiology
  • Genomic surveillance
  • Public health

Background:

  • Effective prevention strategies require a quantitative understanding of local transmission dynamics.
  • Genomic data analysis is crucial for tracking viral spread and identifying transmission clusters.

Purpose of the Study:

  • To develop a computational workflow for identifying viral introductions and tracing local clusters.
  • To analyze SARS-CoV-2 introduction and dispersal patterns in Greater Houston.
  • To understand age-structured transmission dynamics and geographic spread.

Main Methods:

  • Analysis of over 26,000 SARS-CoV-2 genomes and metadata (January-October 2021).
  • Computational workflow for identifying viral introductions and tracing local clusters.
  • Spatiotemporal reconstruction of epidemic spread.

Main Results:

  • Identified over 1,000 independent SARS-CoV-2 introduction events in Greater Houston.
  • Domestic sources were the majority of introductions; international introductions were earlier and led to larger clusters.
  • Revealed age-structured transmission and identified Harris County as a primary source for surrounding areas.

Conclusions:

  • High-resolution spatiotemporal reconstruction provides insights into local transmission.
  • Findings support outbreak-specific, regional response strategies.
  • Informs public health planning for epidemic control.