Department of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Department of Microbiology, Institute of Biotechnology Applied to Agriculture (BIOAGRO), Federal University of Viçosa, Viçosa, MG, 36570-000, Brazil.
Sci Rep. 2024 Jun 6;14(1):13056. doi: 10.1038/s41598-024-63951-7.
Metagenomics has made it feasible to elucidate the intricacies of the ruminal microbiome and its role in the differentiation of animal production phenotypes of significance. The search for mobile genetic elements (MGEs) has taken on great importance, as they play a critical role in the transfer of genetic material between organisms. Furthermore, these elements serve a dual purpose by controlling populations through lytic bacteriophages, thereby maintaining ecological equilibrium and driving the evolutionary progress of host microorganisms. In this study, we aimed to identify the association between ruminal bacteria and their MGEs in Nellore cattle using physical chromosomal links through the Hi-C method. Shotgun metagenomic sequencing and the proximity ligation method ProxiMeta were used to analyze DNA, getting 1,713,111,307 bp, which gave rise to 107 metagenome-assembled genomes from rumen samples of four Nellore cows maintained on pasture. Taxonomic analysis revealed that most of the bacterial genomes belonged to the families Lachnospiraceae, Bacteroidaceae, Ruminococcaceae, Saccharofermentanaceae, and Treponemataceae and mostly encoded pathways for central carbon and other carbohydrate metabolisms. A total of 31 associations between host bacteria and MGE were identified, including 17 links to viruses and 14 links to plasmids. Additionally, we found 12 antibiotic resistance genes. To our knowledge, this is the first study in Brazilian cattle that connect MGEs with their microbial hosts. It identifies MGEs present in the rumen of pasture-raised Nellore cattle, offering insights that could advance biotechnology for food digestion and improve ruminant performance in production systems.
宏基因组学使得阐明瘤胃微生物组的复杂性及其在区分具有重要意义的动物生产表型方面的作用成为可能。寻找移动遗传元件(MGE)变得至关重要,因为它们在生物之间遗传物质的转移中起着关键作用。此外,这些元素通过裂解噬菌体控制种群,从而维持生态平衡并推动宿主微生物的进化进程,从而具有双重作用。在这项研究中,我们旨在通过 Hi-C 方法利用物理染色体联系来确定内罗尔牛瘤胃细菌与其 MGE 之间的关联。使用 shotgun 宏基因组测序和邻近连接方法 ProxiMeta 来分析 DNA,得到 1713111307bp,这导致从 4 头放牧内罗尔牛的瘤胃液样本中获得了 107 个宏基因组组装基因组。分类分析表明,大多数细菌基因组属于 Lachnospiraceae、Bacteroidaceae、Ruminococcaceae、Saccharofermentanaceae 和 Treponemataceae 家族,主要编码中心碳和其他碳水化合物代谢途径。总共鉴定出 31 个宿主细菌与 MGE 之间的关联,包括 17 个与病毒的关联和 14 个与质粒的关联。此外,我们还发现了 12 个抗生素抗性基因。据我们所知,这是巴西牛中首次将 MGE 与其微生物宿主联系起来的研究。它确定了存在于放牧饲养的内罗尔牛瘤胃中的 MGE,为改善消化生物技术和提高反刍动物在生产系统中的性能提供了见解。