畜牧兽医学报 ›› 2023, Vol. 54 ›› Issue (6): 2619-2630.doi: 10.11843/j.issn.0366-6964.2023.06.038

• 基础兽医 • 上一篇    下一篇

大熊猫肠道菌群年龄演替规律分析

李蔚1, 张强2, 瞿嘉豪1, 吴亚平2, 胡若辰1, 贾若艺2, 郭如海1, 马清义2, 潘广林2*, 王兴龙1*   

  1. 1. 西北农林科技大学动物医学院, 杨凌 712100;
    2. 秦岭大熊猫研究中心(陕西省珍稀野生动物救护基地), 周至 710400
  • 收稿日期:2022-11-09 出版日期:2023-06-23 发布日期:2023-06-16
  • 通讯作者: 潘广林,主要从事野生动物疾病救治研究,E-mail:33954979@qq.com;王兴龙,主要从事动物传染病防治研究,E-mail:wxlong@nwsuaf.edu.cn
  • 作者简介:李蔚(1999-),女,四川成都人,硕士生,主要从事动物疫病防治研究,E-mail:1546280879@qq.com
  • 基金资助:
    大熊猫国际合作资金项目(护熊猫函2019193号)

Analysis on the Age Succession of Intestinal Flora of Giant Panda

LI Wei1, ZHANG Qiang2, QU Jiahao1, WU Yaping2, HU Ruochen1, JIA Ruoyi2, GUO Ruhai1, MA Qingyi2, PAN Guanglin2*, WANG Xinglong1*   

  1. 1. College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China;
    2. Research Center for Qinling Giant Panda(Shaanxi Rare Wildlife Rescue Base), Zhouzhi 710400, China
  • Received:2022-11-09 Online:2023-06-23 Published:2023-06-16

摘要: 本研究旨在探究不同年龄段大熊猫(Ailuropoda melanoleuca)肠道菌群多样性、结构及功能的演替规律。于秦岭大熊猫研究中心采集16只不同年龄段大熊猫的新鲜粪便,基于16S rDNA高通量测序技术及层次聚类方法分为5个年龄组进行分析。结果表明,不同年龄段大熊猫共有优势菌门为厚壁菌门(Firmicutes,60.44%)和变形菌门(Proteobacteria,38.69%),且随年龄增长,厚壁菌门的相对丰度逐渐增加,变形菌门的相对丰度逐渐降低;共有优势菌属为埃希菌属-志贺菌属(Escherichia-Shigella,57.35%)和狭义梭菌属1(Clostridium_sensu_stricto_1,15.17%),且性别差异对大熊猫肠道菌群结构影响不大。不同年龄段大熊猫的肠道菌群Alpha多样性存在显著差异(P<0.05),呈现随年龄增长先增加后降低的趋势,在18~22岁达最高;Beta多样性结果表明,组间差异大于组内差异,不同分组对样品差异的解释具有可信度。13~14岁成年大熊猫特有的优势菌属——魏斯菌属(Weissella,9.975%)为肠道益生菌,34岁老年大熊猫在氨基酸转运和代谢、信号转导、防御机制等通路的相对丰度不同于其他年龄段,其特有的优势菌属——八叠球菌属(Sarcina,53.29%)为条件致病菌。综上,该研究认为大熊猫肠道菌群多样性随年龄增大先增加后降低,不同年龄段共有和特有优势菌丰度及菌群功能存在差异,随年龄变化呈现一定演替规律,提示在大熊猫不同年龄阶段(尤其是老年阶段)的饲养过程中可补充相应缺乏的营养物质,以维持肠道内微生态平衡。

关键词: 高通量测序, 大熊猫, 肠道菌群, 年龄

Abstract: The study aimed to explore the succession of intestinal flora diversity, structure and function of giant pandas at different ages. Fresh feces of 16 giant pandas of different ages were collected in Research Center for Qinling Giant Panda, divided into 5 groups and analyze based on 16SrDNA high-throughput sequencing technology and hierarchical clustering method. The results showed that the main bacterial phyla in giant pandas at different ages consisted of Firmicutes (60.44%) and Proteobactera (38.69%), and the relative abundance of Firmicutes increased while Proteobacteria decreased with age; at the genus level, the bacteria consisted mainly of Escherichia Shigella (57.35%) and Clostridium_sensu_stricto_1 (15.17%), while the gender difference has little effect on the intestinal flora structure of giant pandas. There was a significant difference in the Alpha diversity of intestinal flora (P<0.05), showing a trend of first increasing and then decreasing with age, reaching the highest in 18-22 years old. Beta diversity results show that the difference between groups is greater than the difference within groups, and the interpretation of sample differences by different groups has credibility. The dominant bacteria unique to adult giant pandas aged 13-14 years-Weissella (9.975%) is intestinal probiotics. The relative abundance in amino acid transport and metabolism, signal transduction, defense mechanisms and other pathways of 34 year old giant pandas is different from other age groups. Its unique dominant bacteria-Sarcina (53.29%) is conditioned pathogen. To sum up, this study believes that the intestinal flora diversity of giant pandas first increases and then decreases with age, and the abundance and function of common and unique dominant bacteria in different age groups are different, showing a certain succession law with age, suggesting that the corresponding lack of nutrients can be supplemented in the feeding process of giant pandas at different ages to maintain the intestinal microecology balance.

Key words: high throughput sequencing, panda, intestinal flora, age

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