大理和勐腊中缅树鼩血清及肝差异代谢物的比较  

Comparison of Differential Metabolites in Serum and Liver of Tupaia belangeri from Dali and Mengla Area

作　　者：陈思梦 贾婷 王政昆 朱万龙 CHEN Si-Meng;JIA Ting;WANG Zheng-Kun;ZHU Wang-Long(Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-Plants in Southwest Mountain Ecosystem of Yunnan Province Higher Institutes College Kunming,School of Life Sciences of Yunnan Normal University,Engineering Research Center of Ministry of Education for Sustainable Development and Utilization of Bioenergy,Key Laboratory of Biomass Energy and Environmental Biotechnology in Yunnan Province,Kunming 650500;Yunnan College of Business Management,Kunming 650106,China)

机构地区：[1]云南省高校西南山地生态系统动植物生态适应进化及保护重点实验室,云南师范大学生命科学学院,生物能源持续开发利用教育部工程研究中心,云南省生物质能与环境生物技术重点实验室,昆明650500 [2]云南经济管理学院,昆明650106

出　　处：《动物学杂志》2021年第5期729-745,共17页Chinese Journal of Zoology

基　　金：国家自然科学基金项目(No.31660121);云南省中青学术和技术带头人后备人才项目(No.2019HB013);云南省万人计划青年拔尖人才项目(No.YNWR-QNRC-2019-047)。

摘　　要：为探究不同海拔地区中缅树鼩(Tupaia belangeri)血清和肝的差异代谢物及代谢通路变化,本研究采集大理(高海拔)和勐腊(低海拔)中缅树鼩分别12只和8只的血清和肝,采用非靶向代谢组气相色谱-质谱联用检测技术测定代谢物。结果表明,高海拔种群和低海拔种群相比,血清中一共有36种代谢物差异显著,其中,柠檬酸、葡萄糖、胆固醇等共32种代谢物的浓度上调,N-乙酰谷氨酸、葵酸、庚酸和对羟基苯甲酸这4种代谢物的浓度下调;高海拔种群肝差异代谢物和低海拔肝相比,一共有18种代谢物浓度差异显著,其中,苹果酸、核糖、葡萄糖等共10种差异代谢物浓度上调,谷氨酰胺、乙醇酸、硬脂酸等共8种差异代谢物浓度下调。高海拔种群与低海拔种群相比,血清中一共有76条代谢通路活性得分差异显著,其中,69条活性得分上调,7条活性得分下调;肝中一共有75条代谢通路活性得分差异显著,其中,43条活性得分上调,32条活性得分下调。以上结果说明,中缅树鼩在面对不同环境时,会调节不同组织中不同代谢通路(如三羧酸循环、糖酵解、脂类代谢和氨基酸代谢)的代谢物含量来适应环境,且血清比肝对环境变化更敏感。To explore the effects of different altitudes on changes of different metabolites and metabolic pathways the sera and livers of T.belangeri from Dali(high-altitude)and Mongla(low-altitude)were collected.The metabolites were analyzed by using the non-targeted metabonomics gas chromatography-mass spectrometry(GC-MS).The original data were preprocessed by software XCMS(www.bioconductor.org/),converting the original GC-MS data into common data format(CDF)format.The XCMS program was used for peak identification,peak filtering and peak alignment to determine the parameters of XCMS(Fig.1).A metabolite tree map was constructed based on the euclidean distance between samples,and clustering of samples was performed by a clustering algorithm(Fig.2).Then the processed data were imported into SIMCA-P software(Umetrics,Umea,Sweden),and multivariate statistical analysis was carried out.Hierarchical cluster analysis(HCA)was used to analyze the metabolite thermograms with the heatmap function in the R package(Fig.3,4).The correlation analysis of metabolites was carried out for significance statistical test,and the statistical test method was the COR.TEST function in R language package(Fig.9,10).Metabolic pathways were assigned to metabolites based on Kyoto encyclopedia of genes and genomes(KEGG,http://www.genome.jp/kegg/),and Pathway Activity Profiling(PAPi)was used to compare the relative activities of different metabolic pathways in different groups(Appendix 1,2).All analyses were performed using the R package.Differential metabolites were screened by One-way ANOVA analysis(P<0.05)and ploidy change Log2 value(fold change>1.5 or fold change<0.667)(Fig.5-8).The results showed that there were 36 different metabolites in serum of the high-altitude population compared to the low-altitude population(Fig.3),among which 32 were up-regulated(citric acid,glucose,cholesterol,et al)and 4 were down-regulated(N-acetylglutamic acid,decanoic acid,4-hdroxybutyric acid,et al.).There were 18 metabolites showing significant difference in the high-

关 键 词：中缅树鼩 血清 肝 差异代谢物 代谢通路 

分 类 号：Q956[生物学—动物学]