Literature DB >> 34102084

Inferring environmental transmission using phylodynamics: a case-study using simulated evolution of an enteric pathogen.

Daniel Dawson1, David Rasmussen2,3, Xinxia Peng2,4, Cristina Lanzas1.   

Abstract

Indirect (environmental) and direct (host-host) transmission pathways cannot easily be distinguished when they co-occur in epidemics, particularly when they occur on similar time scales. Phylodynamic reconstruction is a potential approach to this problem that combines epidemiological information (temporal, spatial information) with pathogen whole-genome sequencing data to infer transmission trees of epidemics. However, factors such as differences in mutation and transmission rates between host and non-host environments may obscure phylogenetic inference from these methods. In this study, we used a network-based transmission model that explicitly models pathogen evolution to simulate epidemics with both direct and indirect transmission. Epidemics were simulated according to factorial combinations of direct/indirect transmission proportions, host mutation rates and conditions of environmental pathogen growth. Transmission trees were then reconstructed using the phylodynamic approach SCOTTI (structured coalescent transmission tree inference) and evaluated. We found that although insufficient diversity sets a lower bound on when accurate phylodynamic inferences can be made, transmission routes and assumed pathogen lifestyle affected pathogen population structure and subsequently influenced both reconstruction success and the likelihood of direct versus indirect pathways being reconstructed. We conclude that prior knowledge of the likely ecology and population structure of pathogens in host and non-host environments is critical to fully using phylodynamic techniques.

Entities:  

Keywords:  disease transmission modelling; environmental transmission; phylodynamics; whole-genome sequencing

Mesh:

Year:  2021        PMID: 34102084      PMCID: PMC8187012          DOI: 10.1098/rsif.2021.0041

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.293


  33 in total

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Authors:  Pejman Rohani; Romulus Breban; David E Stallknecht; John M Drake
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-03       Impact factor: 11.205

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-13       Impact factor: 11.205

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Authors:  Michael H Cortez; Joshua S Weitz
Journal:  Am Nat       Date:  2013-01-10       Impact factor: 3.926

4.  Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.

Authors:  M Hasegawa; H Kishino; T Yano
Journal:  J Mol Evol       Date:  1985       Impact factor: 2.395

5.  Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.

Authors:  Andrew Rambaut; Alexei J Drummond; Dong Xie; Guy Baele; Marc A Suchard
Journal:  Syst Biol       Date:  2018-09-01       Impact factor: 15.683

6.  Bayesian inference of infectious disease transmission from whole-genome sequence data.

Authors:  Xavier Didelot; Jennifer Gardy; Caroline Colijn
Journal:  Mol Biol Evol       Date:  2014-04-08       Impact factor: 16.240

7.  When are pathogen genome sequences informative of transmission events?

Authors:  Finlay Campbell; Camilla Strang; Neil Ferguson; Anne Cori; Thibaut Jombart
Journal:  PLoS Pathog       Date:  2018-02-08       Impact factor: 6.823

8.  Bayesian reconstruction of transmission within outbreaks using genomic variants.

Authors:  Nicola De Maio; Colin J Worby; Daniel J Wilson; Nicole Stoesser
Journal:  PLoS Comput Biol       Date:  2018-04-18       Impact factor: 4.475

9.  Role of environmental persistence in pathogen transmission: a mathematical modeling approach.

Authors:  Romulus Breban
Journal:  J Math Biol       Date:  2012-03-01       Impact factor: 2.259

10.  Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell-cell interactions.

Authors:  Rok Krašovec; Roman V Belavkin; John A D Aston; Alastair Channon; Elizabeth Aston; Bharat M Rash; Manikandan Kadirvel; Sarah Forbes; Christopher G Knight
Journal:  Nat Commun       Date:  2014-04-29       Impact factor: 14.919

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