Yang Xin, Cheng Guangyang, Li Caiwu, Yang Jiang, Li Jianan, Chen Danyu, Zou Wencheng, Jin SenYan, Zhang Hemin, Li Desheng, He Yongguo, Wang Chengdong, Wang Min, Wang Hongning
School of Life Science, Sichuan University, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resources and Eco-Environment Ministry of Education, Chengdu, Sichuan 610064, China.
China Conservation and Research Center for the Giant Panda, Wolong, Sichuan 623006, China.
Microbiol Res. 2017 Jun;199:1-9. doi: 10.1016/j.micres.2017.01.003. Epub 2017 Jan 16.
While the health effects of the colonization of the reproductive tracts of mammals by bacterial communities are widely known, there is a dearth of knowledge specifically in relation to giant panda microbiomes. In order to investigate the vaginal and uterine bacterial diversity of healthy giant pandas, we used high-throughput sequence analysis of portions of the 16S rRNA gene, based on samples taken from the vaginas (GPV group) and uteri (GPU group) of these animals. Results showed that the four most abundant phyla, which contained in excess of 98% of the total sequences, were Proteobacteria (59.2% for GPV and 51.4% for GPU), Firmicutes (34.4% for GPV and 23.3% for GPU), Actinobacteria (5.2% for GPV and 14.0% for GPU) and Bacteroidetes (0.3% for GPV and 10.3% for GPU). At the genus level, Escherichia was most abundant (11.0%) in the GPV, followed by Leuconostoc (8.7%), Pseudomonas (8.0%), Acinetobacter (7.3%), Streptococcus (6.3%) and Lactococcus (6.0%). In relation to the uterine samples, Janthinobacterium had the highest prevalence rate (20.2%), followed by Corynebacterium (13.2%), Streptococcus (19.6%), Psychrobacter (9.3%), Escherichia (7.5%) and Bacteroides (6.2%). Moreover, both Chao1 and abundance-based coverage estimator (ACE) species richness indices, which were operating at the same sequencing depth for each sample, demonstrated that GPV had more species richness than GPU, while Simpson and Shannon indices of diversity indicated that GPV had the higher bacterial diversity. These findings contribute to our understanding of the potential influence abnormal reproductive tract microbial communities have on negative pregnancy outcomes in giant pandas.
虽然细菌群落定殖于哺乳动物生殖道对健康的影响广为人知，但关于大熊猫微生物群的具体知识却很匮乏。为了研究健康大熊猫的阴道和子宫细菌多样性，我们基于从这些动物的阴道（GPV组）和子宫（GPU组）采集的样本，对16S rRNA基因部分片段进行了高通量序列分析。结果显示，占总序列超过98%的四个最丰富的门分别是变形菌门（GPV组为59.2%，GPU组为51.4%）、厚壁菌门（GPV组为34.4%，GPU组为23.3%）、放线菌门（GPV组为5.2%，GPU组为14.0%）和拟杆菌门（GPV组为0.3%，GPU组为10.3%）。在属水平上，大肠杆菌在GPV中最为丰富（11.0%），其次是明串珠菌属（8.7%）、假单胞菌属（8.0%）、不动杆菌属（7.3%）、链球菌属（6.3%）和乳球菌属（6.0%）。对于子宫样本，产碱杆菌属的患病率最高（20.2%），其次是棒状杆菌属（13.2%）、链球菌属（19.6%）、嗜冷杆菌属（9.3%）、大肠杆菌（7.5%）和拟杆菌属（6.2%）。此外，每个样本在相同测序深度下运行的Chao1和基于丰度的覆盖率估计器（ACE）物种丰富度指数表明，GPV的物种丰富度高于GPU，而辛普森和香农多样性指数表明GPV具有更高的细菌多样性。这些发现有助于我们理解生殖道微生物群落异常对大熊猫负面妊娠结局的潜在影响。
