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对中国东北地区腹泻奶牛粪便病毒组和细菌群落的调查揭示了新的与疾病相关的生态风险因素。

A survey of fecal virome and bacterial community of the diarrhea-affected cattle in northeast China reveals novel disease-associated ecological risk factors.

机构信息

Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People's Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.

State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China.

出版信息

mSystems. 2024 Jan 23;9(1):e0084223. doi: 10.1128/msystems.00842-23. Epub 2023 Dec 18.

DOI:10.1128/msystems.00842-23
PMID:38108282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10804951/
Abstract

Limited information on the virome and bacterial community hampers our ability to discern systemic ecological risk factors that cause cattle diarrhea, which has become a pressing issue in the control of disease. A total of 110 viruses, 1,011 bacterial genera, and 322 complete viral genomes were identified from 70 sequencing samples mixed with 1,120 fecal samples from 58 farms in northeast China. For the diarrheic samples, the identified virome and bacterial community varied in terms of composition, abundance, diversity, and geographic distribution in relation to different disease-associated ecological factors; the abundance of identified viruses and bacteria was significantly correlated with the host factors of clinical status, cattle type, and age, and with environmental factors such as aquaculture model and geographical location ( < 0.05); a significant interaction occurred between viruses and viruses, bacteria and bacteria, as well as between bacteria and viruses ( < 0.05). The abundance of , , , , and was significantly correlated with the health status of cattle ( < 0.05). The proportion of BRV, BCoV, BKV, BToV, BoNoV, BoNeV, BoAstV, BEV, BoPV, and BVDV in 1,120 fecal samples varied from 1.61% to 12.05%. A series of significant correlations were observed between the prevalence of individual viruses and the disease-associated ecological factors. A genome-based phylogenetic analysis revealed high variability of 10 bovine enteric viruses. The bovine hungarovirus was initially identified in both dairy and beef cattle in China. This study elucidates the fecal virome and bacterial community signatures of cattle affected by diarrhea, and reveals novel disease-associated ecological risk factors, including cattle type, cattle age, aquaculture model, and geographical location.IMPORTANCEThe lack of data on the virome and bacterial community restricts our capability to recognize ecological risk factors for bovine diarrhea disease, thereby hindering our overall comprehension of the disease's cause. In this study, we found that, for the diarrheal samples, the identified virome and bacterial community varied in terms of composition, abundance, diversity, configuration, and geographic distribution in relation to different disease-associated ecological factors. A series of significant correlations were observed between the prevalence of individual viruses and the disease-associated ecological factors. Our study aims to uncover novel ecological risk factors of bovine diarrheal disease by examining the pathogenic microorganism-host-environment disease ecology, thereby providing a new perspective on the control of bovine diarrheal diseases.

摘要

在中国东北地区的 58 个农场的 70 个测序样本中,共混合了 1120 个粪便样本,从中鉴定出了 110 种病毒、1011 种细菌属和 322 种完整的病毒基因组。对于腹泻样本,所鉴定的病毒组和细菌群落的组成、丰度、多样性和地理分布因与不同疾病相关的生态因素而有所不同;鉴定出的病毒和细菌的丰度与宿主的临床状况、牛的类型和年龄以及养殖模式和地理位置等环境因素显著相关(<0.05);病毒与病毒、细菌与细菌以及细菌与病毒之间存在显著的相互作用(<0.05)。的丰度与牛的健康状况显著相关(<0.05)。BRV、BCoV、BKV、BToV、BoNoV、BoNeV、BoAstV、BEV、BoPV 和 BVDV 在 1120 个粪便样本中的比例从 1.61%到 12.05%不等。个别病毒的流行与疾病相关的生态因素之间存在一系列显著相关性。基于基因组的系统发育分析显示了 10 种牛肠道病毒的高度变异性。牛匈牙利病毒最初在中国的奶牛和肉牛中被鉴定出来。本研究阐明了受腹泻影响的牛的粪便病毒组和细菌群落特征,并揭示了包括牛的类型、牛的年龄、养殖模式和地理位置在内的新的疾病相关生态风险因素。

重要性

病毒组和细菌群落数据的缺乏限制了我们识别牛腹泻病生态风险因素的能力,从而阻碍了我们对该病病因的全面理解。在这项研究中,我们发现,对于腹泻样本,所鉴定的病毒组和细菌群落的组成、丰度、多样性、结构和地理分布因与不同疾病相关的生态因素而有所不同。个别病毒的流行与疾病相关的生态因素之间存在一系列显著相关性。我们的研究旨在通过研究致病微生物-宿主-环境-疾病生态学来揭示牛腹泻病的新生态风险因素,从而为牛腹泻病的控制提供新的视角。

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