13  Did SARS-CoV-2 Change During the COVID-19 Pandemic?

As the pandemic raged around the world (Figure 13.1), increasing numbers of people became infected.

Animated .gif showing the global spread of COVID-19 from China in early January 2020, to most of the Northern hemisphere by the end of February 2020.
Figure 13.1: Early COVID-19 global spread

More infections meant more virus, which implies more viral replication and individual virus particles. This in turn implies more opportunities for mistakes during reproduction: more opportunities for mutation to occur. There was both a larger population of virus, and a larger effective population of the virus.

Any of the resulting sequence variants might have an important effect, maybe changing the clinical profile of the virus - its virulence, its residence time, ease of shedding, or some other characteristic. The variants might also provide a way to track transmission geographically, and over time.

Important

We need you to identify and interpret SARS-CoV-2 sequence variants, and identify and interpret any changes that have occurred!

13.1 Your challenge

We need you to:

  1. Use the Oxford Nanopore (ONT) reads from the Sutch SARS-CoV-2 isolate ERR4164769
  2. Carry out quality control on the reads
  3. Call sequence variants between the Dutch isolate and your Wuhan 1 assembly
  4. Report on the SNPs you find
  5. Map the ONT reads to your Wuhan 1 assembly and visualise them
CautionHints
  • Be sure to visualise read quality with FastQC and note any differences from the Wuhan 1 isolate reads
  • Remember - ONT reads are single-ended
  • When considering SNPs
    • How many are there?
    • Do any lie within feature boundaries?
    • What are the biological implications of changes to that feature’s product?
  • You will need to increase the maximum size of bam chunks setting in JBrowse to visualise ONT reads
  • How do the ONT reads look different, visually, from Illumina data?
ImportantWhen you have finished…

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