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The current bird flu strain evolved so quickly it was deadly

Nature: https://www.nature.com/articles/d41586-023-03256-3

Influence of wild bird migration on the spread of influenza in the arctic and subarctic: a case study of Louise Moncla

Gass, J. D. Jr. Flu spreading around the world. A virus is driven by wild bird migration through arctic and subarctic zones. Mol. Ecol. 32, 198–213 (2023).

To study changes in the virus’s behaviour, the authors examined data reported to the Food and Agricultural Organization of the United Nations and the World Organisation for Animal Health between 2005 and 2022, and analysed more than 10,000 viral genomes.

Louise Moncla, an evolutionary virologist at the University of Pennsylvania in Philadelphia, agrees. If it comes from wild birds, it will be really hard to manage, no matter how much you do in poultry.

It developed two subtypes in 2021 and 2022. One spread across the northern coastal regions of central Europe and was eventually carried to North America by birds migrating across the Atlantic Ocean. The other was carried around the Mediterranean Sea and into Africa.

Two sides of the coin: Influence genes in highly pathogenic influenza A (H5N8) virus and host-specific ancestry

A strain of Viruses called H9N2 play a part in the evolution of H5N1, he says. They aren’t well monitored. “Eradication or elimination strategies that target these low pathogenic viruses would be a huge step forward in terms of controlling avian influenza itself,” says Dhanasekaran.

But “there’s probably two sides of the coin here”, he adds. There are interactions with LPAI ones that can lead to the development of HPAI viruses. The genes are divided into eight segments that can be mixed and matched. When two Viruses Co-Infect the Same Cell, they could swap their genes.

The US poultry sector was affected by the highly Pathogenic Avian Influenza outbreak. Livestock, Dairy, and Poultry Outlook No. (LDPM-282-02) (USDA, 2017).

Trovao, N. S., Suchard, M. A., Baele, G., Gilbert, M. & Lemey, P. Bayesian inference reveals host-specific contributions to the epidemic expansion of influenza A H5N1. Mol. Anecdote. Evol. 32, 3264–3275 (2015).

A number of genes are associated with enhanced virulence. H5N8 highly pathogenic avian influenza virus in mallards. J. Virol. 95, e0095521 (2021).

E. Swieton, et al. Sub-Saharan Africa and Eurasia ancestry of reassortant highly pathogenic avian influenza A(H5N8) virus, Europe, December 2019. Emerg. There is an infectious disease. Dis. 26, 1557–1561 was published in 2020.

O. G. and Pybus were involved in a project. Explaining the epidemiology of emerging epidemics. Proc. A journal of the Natl Acad. Sci. USA 109, 15066–15071 (2012).

A. Kalkauskas, et al. Sampling bias and model choice are things that can come into play on a random walk. PLoS Comput. A report on the work of the Biol. 17 e 1008561

McLean, N. et al. Warming temperatures drive at least half of the magnitude of long-term trait changes in European birds. Proc. Natl Acad. Sci. USA 119, e2105416119 (2022).

Boni, M. F., Galvani, A. P., Wickelgren, A. L. & Malani, A. Economic epidemiology of avian influenza on smallholder poultry farms. Theor. Popul. 97, 135, and 140 in Biol. 90.

LABEL: a fast and accurate assignment with assessment of the H5N1 and H9N2 hemagglutinins. PLoS ONE 9, e86921 (2014).

Capella-Gutierrez, S., Silla-Martinez, J. M. & Gabaldon, T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25, 1972–1973 (2009).

Exploring the temporal structure of sequence using TempEst. The second volume of the virus Evol. 2 was called vew007.

D. L Ayres. BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics. There is a system for the name Syst. Biol. 61, 170–173 (2012).

Parker, J., Rambaut, A. & Pybus, O. G. Correlating viral phenotypes with phylogeny: accounting for phylogenetic uncertainty. There is an infectious disease. Genet. Evol. 8, 239–246 (2008).

F. and Bielejec are authors of a paper. SpreaD3: interactive visualization of spatiotemporal history and trait evolutionary processes. Mol. Biol. Evol. 33, 2167–2169 (2016).

Minin, V. N., Bloomquist, E. W. & Suchard, M. A. Smooth skyride through a rough skyline: Bayesian coalescent-based inference of population dynamics. Mol. Biol. Evol. 25, 1459–1471 (2008).

Dellicour, Rose, R., Faria, N. R., Lemey, P. and Pybus are studying environmental movements. 32, 3 204 and 3206 were published in the past year.

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