do Nascimento Janaina Marques, Brito Samuel Vieira, Teixeira Adonias Aphoena Martins, Frederico Renata Guimarães, Rodrigues Arlan Araujo, do Nascimento Sousa Filho José Gracione, da Cunha Ivo Alexandre Leme
Centro de Ciências Biológicas e da Saúde, Rede de Biodiversidade e Biotecnologia da Amazônia Legal-BIONORTE, Universidade Federal do Maranhão, Cidade Universitária Dom Delgado, São Luís, MA, 65080-805, Brazil.
Centro de Ciências de Chapadinha, Universidade Federal do Maranhão, Br 222, Km 04 Boa Vista, Chapadinha, S/N MA, 65500-000, Brazil.
Parasitol Res. 2024 May 30;123(5):227. doi: 10.1007/s00436-024-08247-5.
The species Haemonchus contortus occurs in many regions worldwide, mainly parasitising small ruminants and economically impacting animal production. Climate change is considered a driving force for the risk of diseases caused by helminths and can also affect relationships between parasites and their hosts, with the potential to cause losses in both animal production and biodiversity in general. The aim of this study was to model the potential distribution of H. contortus in South America. We used MaxEnt to perform the analyses and describe the contribution of important bioclimatic variables involved in the species distribution. Our results show that H. contortus colonised most of the areas with habitats that suit the species' environmental requirements and that this parasite presents habitat suitability in a future scenario. Understanding the effects of climate change on the occurrence and distribution of parasite species is essential for monitoring these pathogens, in addition to predicting the areas that tend to present future parasite outbreaks and identify opportunities to mitigate the impacts of the emergence of diseases caused by these organisms.
捻转血矛线虫分布于全球许多地区,主要寄生于小型反刍动物,对动物生产造成经济影响。气候变化被认为是由蠕虫引起疾病风险的驱动因素,还会影响寄生虫与其宿主之间的关系,有可能导致动物生产和生物多样性总体损失。本研究的目的是模拟捻转血矛线虫在南美洲的潜在分布。我们使用最大熵模型(MaxEnt)进行分析,并描述参与物种分布的重要生物气候变量的贡献。我们的结果表明,捻转血矛线虫在大多数适合该物种环境要求的栖息地定殖,并且这种寄生虫在未来情景中具有栖息地适宜性。了解气候变化对寄生虫物种发生和分布的影响对于监测这些病原体至关重要,此外还可预测未来可能出现寄生虫暴发的地区,并确定减轻这些生物体引起疾病出现影响的机会。