鳥インフルエンザ宿主動態のデータ欠損を解析し保全に活用(Of feathers and flu: Identifying data gaps in bird flu host dynamics to help conserve vulnerable species)

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2026-05-27 ロードアイランド大学(URI)

米ロードアイランド大学の研究チームは、鳥インフルエンザ(高病原性鳥インフルエンザ)の宿主動態に関するデータ不足が、野生鳥類保全の妨げになっていると指摘した。研究では、どの鳥種がウイルスを保有・拡散しやすいか、また感染が個体群に与える影響について、地域や種ごとのデータに大きな偏りがあることを分析した。特に希少種や渡り鳥では監視データが不足しており、感染経路や生態系への影響評価が難しいという。研究チームは、感染症研究と保全生物学を統合した監視体制の必要性を強調し、野生動物の行動、生息地変化、気候変動などを含めた包括的データ収集の重要性を訴えた。また、家禽産業への影響だけでなく、生物多様性保全の観点からも鳥インフルエンザ対策を進める必要があるとしている。研究成果は、将来的な感染拡大予測や絶滅危惧種保護戦略の改善に役立つと期待されている。

鳥インフルエンザ宿主動態のデータ欠損を解析し保全に活用(Of feathers and flu: Identifying data gaps in bird flu host dynamics to help conserve vulnerable species)
Johanna Harvey’s new paper in Wildlife Monographs describes how circulating avian influenza viruses show an expanded set of susceptible hosts and higher transmission rates.

<関連情報>

羽毛とインフルエンザ:鳥インフルエンザの宿主動態におけるデータギャップを特定し、野生生物保護の優先順位付けを行う 問題と不満: インフルエンザウイルス感染症の感染症の特定と医療保護の優先順位 Feathers and flu: identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation Plumas y gripe: identificación de datos faltantes en la dinámica de hospedadores de la influenza aviar para priorizar la conservación de la vida silvestre

Johanna A. Harvey, Matthew Gonnerman, Shenglai Yin, Cody M. Kent, Joshua Cullen, Jeffery D. Sullivan, Jonathan B. Dain, Nichola J. Hill, Diann J. Prosser, Jennifer M. Mullinax
Wildlife Monographs  Published: 15 May 2026
DOI:https://doi.org/10.1002/wmon.70015

Abstract

Highly pathogenic avian influenza viruses (HPAIV) have had disastrous, worldwide effects on wild birds and domestic poultry since the emergence of the A/goose/Guangdong/1/1996 (Gs/GD/96) lineage. The currently circulating H5N1 clade 2.3.4.4b has an expanded set of susceptible hosts, including many migratory wild birds, and is associated with higher transmission rates, increased susceptibility among wild bird hosts, and a greater number of wildlife reservoirs. Certain wild bird life-history strategies and behaviors have been suggested to explain avian hosts’ susceptibility and exposure to HPAIV. These biological traits include gregariousness, such as colonial nesting and mixed flock foraging, predation or scavenging on wild birds, and association with aquatic habitats. Variation in host infection responses (e.g., infectability, shedding rates and duration, mortality rate, antibody development) informs the overall infection risk across avian species, yet the specific role of biological traits is often inconsistent and unclear across taxa. Moreover, the interactions and potential compounding effects among these biological traits remain largely unknown. To develop a more holistic understanding of cumulative risk across bird species, we integrate existing information on infection risk factors (i.e., susceptibility, immunological response, and behavioral traits) into a qualitative multivariate analysis. This approach enabled us to examine how infection risk factors relate to biological traits (e.g., phylogeny, physiology, behavior, species range) and to begin disentangling their complex interactions. We quantified and summarized these risk factors across host species and qualitatively ranked species by their viral responses along a proposed HPAIV response continuum, guided by expectations of traits and metrics associated with competence or vulnerability to HPAIV. In doing so, we aimed to better understand how viral responses and biological traits synergistically interact to influence cumulative risk across wild bird species. This work broadly expands on the previous avian influenza literature, which has focused on Anseriformes and Charadriiformes as primary viral reservoirs. We tie our findings to effective disease management responses with links to risk components, including descriptions of potential surveillance strategies applied to research and One Health goals, as well as a fuller understanding of how resources may be better deployed for rapid response when spillovers do inevitably occur. Additionally, we identified numerous areas where vital epidemiological information is lacking to best characterize the spread of these viruses. Ultimately, this improved understanding will help identify and inform disease management needs and decision making.

医療・健康
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