土生卡达克纳斯鸡系和商品科布鸡系的鸡盲肠肠型与弯曲杆菌数量有关,并受养殖方法的影响

Melanie C. Hay, A. Hinsu, P. Koringa, Ramesh J. Pandit, Po-Yu Liu, M. J. Parekh, S. Jakhesara, Xiaoxai Dai, M. Crotta, Bruno Fosso, G. Limon, Javier Guitian, Fiona M. Tomley, Dong Xia, A. Psifidi, Chaitanya G. Joshi, D. Blake
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引用次数: 0

摘要

确定降低传染病易感性和优化食物转化效率的养殖方法对鸡的福利和生产力、环境和公共卫生都很有价值。肠道型可用于定义微生物群落表型,这些表型对肠道健康具有差异,潜在的重大影响。在这项研究中,我们通过分析印度西部60个农场饲养的300只本土Kadaknath肉鸡和300只商业Cobb400肉鸡的微生物组来描述肠道型。采用组成数据方法,我们确定了三种不同的肠型:PA1 (n=290), PA2 (n=142)和PA3 (n=67)。与PA3相比,PA1与PA2的聚类更紧密,但PA2的α多样性显著低于PA1。PA1具有较高的厚壁菌门:拟杆菌比,以Faecalibacterium为主,且具有较高的Prevotellamassilia丰度。PA2的α多样性较低,常见分类群Phascolarctobacterium a和Phocaeicola dorei丰度较高,Campylobacter丰度显著高于PA1。PA3是3种肠型中拟杆菌群丰度最高的,以CAG-831和Mucispirillum schaedleri等低丰度分类群的高流行率为特征。网络分析表明,所有肠道型均存在不同比例的厚壁菌属优势和拟杆菌属优势竞争行会。使用确定的农场特征的随机森林模型可以预测肠道型。影响肠型的因素包括农场是开放的、封闭的还是笼养的,农场的位置,是否允许游客进入,与鸡接触的人数,鸡系,狗的存在以及是否发生了鸡群变少。这项研究表明,肠道类型受到耕作方式的影响,因此,改变耕作方式可能被用于减轻人畜共患病原体(如弯曲杆菌)的负担。
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Chicken caecal enterotypes in indigenous Kadaknath and commercial Cobb chicken lines are associated with Campylobacter abundance and influenced by farming practices
Identifying farming practices that decrease susceptibility to infectious diseases and optimise food conversion efficiency is valuable for chicken welfare and productivity, the environment, and public health. Enterotypes can be used to define microbial community phenotypes that have differential, potentially significant impacts on gut health. In this study, we delineated enterotypes by analysing the microbiomes of 300 indigenous Kadaknath and 300 commercial Cobb400 broiler chickens raised across 60 farms in western India. Using a compositional data approach, we identified three distinct enterotypes: PA1 (n=290), PA2 (n=142) and PA3 (n=67). PA1 and PA2 clustered more closely with each other than with PA3, however, PA2 had significantly lower alpha diversity than PA1. PA1 had a high Firmicutes: Bacteroides ratio, was dominated by Faecalibacterium and had a higher abundance of Prevotellamassilia than other enterotypes. PA2 was characterised by its low alpha diversity, a high abundance of the common taxa Phascolarctobacterium A and Phocaeicola dorei and a significantly higher Campylobacter abundance than PA1. PA3 had the highest Bacteroidota abundance of the three enterotypes and was defined by high prevalence of lower abundance taxa such as CAG-831 and Mucispirillum schaedleri. Network analysis showed that all enterotypes have different proportions of competing Firmicutes-dominant and Bacteroidota-dominant guilds. Random Forest Modelling using defined farm characteristics was predictive for enterotype. Factors affecting enterotype include whether farms were open, enclosed or caged, the location of farms, whether visitors were allowed inside, the number of people in contact with the chickens, chicken line, the presence of dogs and whether flock thinning took place. This study suggests that enterotypes are influenced by farming practices, hence modification of practices could potentially be used to reduce the burden of zoonotic pathogens such as Campylobacter.
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