饲料研究2025，Vol.48Issue(5)：102-106,5.DOI:10.13557/j.cnki.issn1002-2813.2025.05.018
基于16S rRNA高通量测序技术分析梅花鹿瘤胃微生物多样性和功能预测的研究
Study on diversity and functional prediction of Cervus nippon rumen microbiota based on high-throughput sequencing of 16S rRNA
摘要
Abstract
The experiment was to investigate the microbial diversity and function in the rumen of adult female Cervus nippon,analyzed the gastric flora structure and predicted the functions of Cervus nippon tumor samples using 16S rRNA high-throughput sequencing technology and PICRUSt2.The results showed that a total of 289 424 high-quality sequences were obtained by Illumina NovaSeq sequencing platform,with clustering analysis identifying a total of 7 547 operational taxonomic units(OTUs).The alpha diversity indices indicated that the rumen microbial community in Cervus nippon had high richness(Chao1=1 510.99,Ace=1 520.92)and diversity(Simpson=0.99,Shannon=8.50).The dominant phyla were Firmicutes(51.47%)and Bacteroidota(36.94%).The dominant bacterial orders were Bacteroidales(36.91%),Lachnospirales(15.32%),and Oscillospirales(10.54%).The dominant genera were Prevotella(10.78%),uncultured_rumen_bacterium(9.27%),Rikenellaceae_RC9_gut_group(8.66%).KEGG database analyzed six primary level metabolic pathways,COG database distributed in 24 COG categories.The functional categories mainly focus on general functional prediction,amino acid transport and metabolism,translation,ribosome structure and biotransformation,transcription,transport and metabolism of carbohydrates.The study indicates that the rumen colonies of Cervus nippon has obvious diversity and contain abundant cellulose-degrading microorganisms.The test results can provide a reference for the exploration of Cervus nippon rumen microbial functional genes.关键词
梅花鹿/瘤胃微生物/16S rRNA/功能预测Key words
Cervus nippon/rumen microorganisms/16S rRNA/functional prediction分类
农业科技引用本文复制引用
曲磊,关诗宇,谷兴亮,秦立红..基于16S rRNA高通量测序技术分析梅花鹿瘤胃微生物多样性和功能预测的研究[J].饲料研究,2025,48(5):102-106,5.基金项目
吉林省农业科学院(中国农业科技东北创新中心)基本科研经费(项目编号:KYJF2023XK102) （中国农业科技东北创新中心）
吉林省农业科学院(中国农业科技东北创新中心)研究所创新基金(项目编号:CXGC2023SJ101) （中国农业科技东北创新中心）
