Evidence map›Paper›PMID 42796688›Full record

ArticlePathogens (Basel, Switzerland)2026

Genetic Variability and Evolutionary Dynamics of A(H1N1)pdm09 in Italy Before, During, and After the COVID-19 Pandemic.

Maria Perra, Ilaria Deplano, Ilenia Azzena, Chiara Locci, Giancarlo Ceccarelli, Dong Keon Yon, Francesco Branda, Massimo Ciccozzi, Marco Casu, Alessandra Borsetti and 2 more

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Maria PerraDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Ilaria DeplanoDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0009-0008-3657-8740
Ilenia AzzenaDepartment of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.
Chiara LocciDepartment of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00185 Rome, Italy.ORCID 0000-0001-5921-3180
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul 05278, Republic of Korea.ORCID 0000-0003-1628-9948
Francesco BrandaGenomics, AI, Bioinformatics, Infectious Diseases, Epidemiology Group (GABIE), 00128 Rome, Italy.ORCID 0000-0002-9485-3877
Massimo CiccozziGenomics, AI, Bioinformatics, Infectious Diseases, Epidemiology Group (GABIE), 00128 Rome, Italy.ORCID 0000-0003-3866-9239
Marco CasuDepartment of Innovation, University of Sassari, 07026 Olbia, Italy.ORCID 0000-0002-5042-4851
Alessandra BorsettiNational HIV/AIDS Research Center (CNAIDS), Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-5401-135X
Daria SannaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3058-4663
Fabio ScarpaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3501-714X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A(H1N1)pdm09 remains one of the predominant seasonal influenza viruses worldwide and continues to evolve under the combined effects of host immunity, vaccination, and changing epidemiological conditions. However, the long-term impact of the COVID-19 pandemic on its evolutionary dynamics remains poorly understood. We investigated the genetic variability and phylodynamic evolution of the hemagglutinin (HA) and neuraminidase (NA) genes of Italian A(H1N1)pdm09 viruses collected between 2009 and 2026. Time-calibrated phylodynamic analyses, Bayesian Skyline Plots (BSPs), Lineages Through Time (LTT) graphs, principal component analysis (PCA), and codon-based selection analyses were used to characterize long-term evolutionary patterns. Both HA and NA followed continuous evolutionary trajectories, with a marked post-2020 genetic shift associated with the emergence of 6B.1A.5a.2-related clades. HA showed greater evolutionary variability than NA, whereas selection analyses identified only one positively selected site in HA and none in NA, consistent with reduced adaptive diversification in recent strains. Phylodynamic analyses revealed a marked decline in effective population size and lineage accumulation during the COVID-19 pandemic, followed by renewed expansion after 2022. Overall, Italian A(H1N1)pdm09 viruses exhibited reduced genetic diversity, limited evidence of positive selection, and coordinated genomic restructuring following the pandemic. These findings provide new insights into the long-term evolutionary dynamics of A(H1N1)pdm09 in Italy and reinforce the importance of sustained genomic surveillance for anticipating evolutionary changes and informing evidence-based public health strategies.

Indexed as

COVID-19Evolution, MolecularGenetic VariationInfluenza A Virus, H1N1 SubtypeInfluenza, HumanHemagglutinin Glycoproteins, Influenza VirusHumansItalyNeuraminidasePandemicsPhylogenySARS-CoV-2Viral ProteinsHemagglutinin Glycoproteins, Influenza VirusNeuraminidaseViral ProteinsA(H1N1)pdm09COVID-19 pandemicgenetic variabilitygenomic surveillancehemagglutinininfluenza A virusItalyneuraminidasephylodynamicsviral evolution

Identifiers

PMID42796688
PMCPMC13610458

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.