• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Virus Evol . Limited genomic reconstruction of SARS-CoV-2 transmission history within local epidemiological clusters

tetano

Editor, Senior Moderator
Virus Evol


. 2022 Feb 4;8(1):veac008.
doi: 10.1093/ve/veac008. eCollection 2022.
Limited genomic reconstruction of SARS-CoV-2 transmission history within local epidemiological clusters


Pilar Gallego-García[SUP] 1 [/SUP], Nair Varela[SUP] 1 [/SUP], Nuria Estévez-Gómez[SUP] 1 [/SUP], Loretta De Chiara[SUP] 1 [/SUP], Iria Fernández-Silva[SUP] 2 [/SUP], Diana Valverde[SUP] 1 [/SUP], Nicolae Sapoval, Todd J Treangen[SUP] 3 [/SUP], Benito Regueiro[SUP] 4 [/SUP], Jorge Julio Cabrera-Alvargonzález[SUP] 4 [/SUP], Víctor Del Campo[SUP] 4 [/SUP], Sonia Pérez[SUP] 4 [/SUP], David Posada[SUP] 1 [/SUP]



Affiliations

Abstract

A detailed understanding of how and when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission occurs is crucial for designing effective prevention measures. Other than contact tracing, genome sequencing provides information to help infer who infected whom. However, the effectiveness of the genomic approach in this context depends on both (high enough) mutation and (low enough) transmission rates. Today, the level of resolution that we can obtain when describing SARS-CoV-2 outbreaks using just genomic information alone remains unclear. In order to answer this question, we sequenced forty-nine SARS-CoV-2 patient samples from ten local clusters in NW Spain for which partial epidemiological information was available and inferred transmission history using genomic variants. Importantly, we obtained high-quality genomic data, sequencing each sample twice and using unique barcodes to exclude cross-sample contamination. Phylogenetic and cluster analyses showed that consensus genomes were generally sufficient to discriminate among independent transmission clusters. However, levels of intrahost variation were low, which prevented in most cases the unambiguous identification of direct transmission events. After filtering out recurrent variants across clusters, the genomic data were generally compatible with the epidemiological information but did not support specific transmission events over possible alternatives. We estimated the effective transmission bottleneck size to be one to two viral particles for sample pairs whose donor-recipient relationship was likely. Our analyses suggest that intrahost genomic variation in SARS-CoV-2 might be generally limited and that homoplasy and recurrent errors complicate identifying shared intrahost variants. Reliable reconstruction of direct SARS-CoV-2 transmission based solely on genomic data seems hindered by a slow mutation rate, potential convergent events, and technical artifacts. Detailed contact tracing seems essential in most cases to study SARS-CoV-2 transmission at high resolution.

Keywords: contact trace; intrahost variants; local outbreak; shared variants; transmission bottleneck; viral contagion.
 
Back
Top Bottom