Forcina Giovanni, Pérez-Pardal Lucía, Carvalheira Júlio, Beja-Pereira Albano
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal.
BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal.
Animals (Basel). 2022 Nov 30;12(23):3375. doi: 10.3390/ani12233375.
The variety and makeup of the gut microbiome are frequently regarded as the primary determinants of health and production performances in domestic animals. High-throughput DNA/RNA sequencing techniques (NGS) have recently gained popularity and permitted previously unheard-of advancements in the study of gut microbiota, particularly for determining the taxonomic composition of such complex communities. Here, we summarize the existing body of knowledge on livestock gut microbiome, discuss the state-of-the-art in sequencing techniques, and offer predictions for next research. We found that the enormous volumes of available data are biased toward a small number of globally distributed and carefully chosen varieties, while local breeds (or populations) are frequently overlooked despite their demonstrated resistance to harsh environmental circumstances. Furthermore, the bulk of this research has mostly focused on bacteria, whereas other microbial components such as protists, fungi, and viruses have received far less attention. The majority of these data were gathered utilizing traditional metabarcoding techniques that taxonomically identify the gut microbiota by analyzing small portions of their genome (less than 1000 base pairs). However, to extend the coverage of microbial genomes for a more precise and thorough characterization of microbial communities, a variety of increasingly practical and economical shotgun techniques are currently available.
肠道微生物群的种类和组成常被视为家畜健康和生产性能的主要决定因素。近年来,高通量DNA/RNA测序技术(NGS)备受关注,并在家畜肠道微生物群研究中取得了前所未有的进展,特别是在确定此类复杂群落的分类组成方面。在此,我们总结了关于家畜肠道微生物群的现有知识,讨论了测序技术的最新进展,并对未来研究进行了预测。我们发现,大量可用数据偏向于少数全球分布且经过精心挑选的品种,而地方品种(或群体)尽管表现出对恶劣环境条件的抗性,但却常常被忽视。此外,大部分研究主要集中在细菌上,而原生生物、真菌和病毒等其他微生物成分受到的关注则少得多。这些数据大多是利用传统的宏条形码技术收集的,该技术通过分析肠道微生物群基因组的小片段(少于1000个碱基对)来进行分类鉴定。然而,为了扩大微生物基因组的覆盖范围,以便更精确、全面地描述微生物群落,目前已有多种越来越实用且经济的鸟枪法技术。