Evidence map›Paper›PMID 41472188›Full record

ArticleVeterinary sciences2025

Phylogenetic Analysis of Highly Pathogenic Avian Influenza H7 Viruses in Australia and New Zealand Suggests Local Viral Evolution.

Jesiaman Silaban, Stephen Ogada, Muhammad Noman Naseem, Yun Hee Baek, Min-Suk Song, Sheila Cecily Ommeh

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Jesiaman SilabanSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia.
Stephen OgadaQueensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-8292-7085
Muhammad Noman NaseemQueensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-7133-4575
Yun Hee BaekDepartment of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.ORCID 0000-0002-8453-4880
Min-Suk SongDepartment of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.ORCID 0000-0001-6073-0783
Sheila Cecily OmmehQueensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-0780-0399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avian Influenza (AI) remains a critical threat to livestock production in Oceania, with recent outbreaks of Highly Pathogenic Avian Influenza (HPAI) H7 subtypes in Australia and New Zealand. Historically, AI detections in these countries were largely confined to wild birds. However, since 2024, multiple outbreaks in commercial poultry populations have been reported, with the emergence of HPAI H7N3, H7N8, and H7N9 in Australia and H7N6 in New Zealand. To investigate the epidemiological links of these outbreaks, we retrieved all publicly available H7 hemagglutinin (HA) gene sequences from animals in Oceania between 2014 and 2025 that were deposited in GISAID and NCBI databases. Phylogenetic reconstruction using maximum likelihood methods revealed distinct Australian and New Zealand clades, suggesting local viral evolution rather than recent transboundary introductions. The absence of phylogenetic clustering between Oceanian and Asian H7 sequences suggests limited recent gene flow between regions, particularly in the HA gene segment. These local viral mutations can pose a threat to the poultry industry; therefore, continuous genomic surveillance in commercial farms and wild bird reservoirs is crucial. Such efforts support the One Health framework by enabling early detection of pathogenic variants and reducing zoonotic spillover risks for animal and public health.

Indexed as

genomic surveillanceHPAIinfectious diseaseOne-Healthpandemiczoonosis

Identifiers

PMID41472188
PMCPMC12737606

What OpenQuestion holds

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Registered trials

None linked

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.