Modeling suggests gene editing combined with vaccination could eliminate a persistent disease in livestock

Gertje Eta Leony Petersen, Jaap Buntjer, Fiona Hely, Timothy John Byrne, Andrea Wilson

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Recent breakthroughs in gene-editing technologies that can render individual animals fully resistant to infections may offer unprecedented opportunities for controlling future epidemics in farm animals. Yet, their potential for reducing disease spread is poorly understood as the necessary theoretical framework for estimating epidemiological effects arising from gene-editing applications is currently lacking. Here, we develop semistochastic modeling approaches to investigate how the adoption of gene editing may affect infectious disease prevalence in farmed animal populations and the prospects and time scale for disease elimination. We apply our models to the porcine reproductive and respiratory syndrome (PRRS), one of the most persistent global livestock diseases to date. Whereas extensive control efforts have shown limited success, recent production of gene-edited pigs that are fully resistant to the PRRS virus have raised expectations for eliminating this deadly disease. Our models predict that disease elimination on a national scale would be difficult to achieve if gene editing was used as the only disease control. However, from a purely epidemiological perspective, disease elimination may be achievable within 3 to 6 y, if gene editing were complemented with widespread and sufficiently effective vaccination. Besides strategic distribution of genetically resistant animals, several other key determinants underpinning the epidemiological impact of gene editing were identified.

Original languageEnglish
Article numbere2107224119
JournalProceedings of the National Academy of Sciences (PNAS)
Issue number9
Early online date1 Mar 2022
Publication statusPublished - 1 Mar 2022

Keywords / Materials (for Non-textual outputs)

  • CRISPR/Cas9
  • PRRS
  • gene editing
  • infectious disease
  • mathematical model


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