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阿尔及利亚牛蜱的群落动态与病原体相互作用

Guild Dynamics and Pathogen Interactions in Ticks From Algerian Cattle.

作者信息

Abdelali Salma Kaoutar, Aissaoui Lynda, Maitre Apolline, Piloto-Sardiñas Elianne, Julie Constance, Foucault-Simonin Angélique, Moutailler Sara, Galon Clemence, Mateos-Hernández Lourdes, Obregon Dasiel, Zając Zbigniew, Cabezas-Cruz Alejandro

机构信息

Department of Animal Biology and Physiology, University of Ferhat Abbas, Setif, Algeria.

ANSES, INRAE, UMR BIPAR, Ecole Nationale Vétérinaire d'Alfort, Laboratoire de Santé Animale, Maisons-Alfort, France.

出版信息

Transbound Emerg Dis. 2024 Dec 7;2024:5384559. doi: 10.1155/tbed/5384559. eCollection 2024.

Abstract

Ticks are pivotal in transmitting a variety of pathogens that affect both humans and animals. These pathogens often occur in guilds, groups of species that exploit similar resources in similar ways. Although the composition of tick-borne pathogen (TBP) guilds is well-documented, the interactions among pathogens within these guilds remain poorly understood. We hypothesized that abiotic and biotic factors significantly influence the patterns of occurrence and interactions among pathogens within these guilds. To investigate this, we analyzed microfluidic-based high-throughput data on microorganisms from 166 ticks (94 male and 72 female) collected across different seasons from cattle in the central Algerian steppe using network analysis to uncover complex pathogen-pathogen interaction patterns. We found that female ticks had a higher infection rate (63.9%) with common pathogens such as (26.4%), unclassified Apicomplexa (22.2%), and (19.4%). Male ticks showed a 56.4% infection rate, with (31.1%) and (16%) being the most prevalent. Notable pathogen-pathogen interactions within guilds were identified, with positive associations such as between and in males, and and in females, indicating cooperative interactions. Conversely, negative associations, such as between and , suggested competitive exclusion. The observed variation in interaction patterns under different conditions indicates that ecological determinants, both biotic and abiotic, influence pathogen association dynamics within guilds. These findings have significant implications for understanding disease transmission and developing control strategies.

摘要

蜱虫在传播多种影响人类和动物的病原体方面起着关键作用。这些病原体通常以病原体群落的形式出现,病原体群落是指以相似方式利用相似资源的物种群体。虽然蜱传病原体(TBP)群落的组成已有充分记录,但这些群落内病原体之间的相互作用仍知之甚少。我们假设非生物和生物因素会显著影响这些群落内病原体的出现模式和相互作用。为了对此进行研究,我们分析了基于微流控的高通量数据,这些数据来自阿尔及利亚中部草原不同季节从牛身上采集的166只蜱虫(94只雄性和72只雌性)中的微生物,使用网络分析来揭示复杂的病原体 - 病原体相互作用模式。我们发现雌性蜱虫对常见病原体的感染率较高(63.9%),如 (26.4%)、未分类的顶复门(22.2%)和 (19.4%)。雄性蜱虫的感染率为56.4%,其中 (31.1%)和 (16%)最为普遍。在群落内发现了显著的病原体 - 病原体相互作用,阳性关联如雄性中的 和 之间,以及雌性中的 和 之间,表明存在合作相互作用。相反,阴性关联,如 和 之间,表明存在竞争排斥。在不同条件下观察到的相互作用模式变化表明,生物和非生物的生态决定因素会影响群落内病原体的关联动态。这些发现对理解疾病传播和制定控制策略具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/197b/12016691/c0f19d82eb4a/TBED2024-5384559.001.jpg

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