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Inferring host roles in bayesian phylodynamics of global avian influenza A virus H9N2.

Jing Yang | Dong Xie | Zhen Nie | Bing Xu | Alexei J Drummond
Virology | 2019

Role of avian hosts in shaping persistence, evolution, and dispersal of global low pathogenic avian influenza virus (LPAIV) H9N2 remains uncertain. Under Bayesian Markov Chain Monte Carlo framework, we used the discrete trait analysis (DTA) to reconstruct host and location switches in the evolutionary history of global H9N2 given hemagglutinin gene sequences from 18 countries/regions between 1976 and 2018. We employed generalized linear models (GLMs) to inform virus migration rates by empirical predictors. Global H9N2 isolates were mostly sampled from domestic Phasianidae in low- and middle-income countries with poor bio-security. Anatidae was inferred as the ancestral source from which the virus spread to domestic waterfowl, and later to domestic Phasianidae who have become the dominant host to sustain the virus, especially in Asia. Poultry trade was a well-supported driver to H9N2 spread across countries/regions. Strict bio-security and separation between wild and domestic poultry can be used to mitigate virus spread.

Pubmed ID: 31586866

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FAOSTAT (tool)

RRID:SCR_006914

A multilingual database that provides large time-series and cross sectional data relating to hunger, food, agriculture, nutrition, fisheries, forestry and food aid by country and region from 1961 to present. Data can be searched, browsed, analyzed and downloaded.

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FigTree (tool)

RRID:SCR_008515

A graphical viewer of phylogenetic trees and a program for producing publication-ready figures. It is designed to display summarized and annotated trees produced by BEAST.

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BEAST (tool)

RRID:SCR_010228

A cross-platform software program for Bayesian MCMC analysis of molecular sequences. It is entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. It can be used as a method of reconstructing phylogenies but is also a framework for testing evolutionary hypotheses without conditioning on a single tree topology. BEAST uses MCMC to average over tree space, so that each tree is weighted proportional to its posterior probability. We include a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results.

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