Integrated omics analysis reveals the immunologic characteristics of cystic Peyer's patches in the cecum of Bactrian camels.
Integrated omics analysis reveals the immunologic characteristics of cystic Peyer's patches in the cecum of Bactrian camels.
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作者：
Wang XS;Li PX;Wang BS;Zhang WD;Wang WH
双峰驼在整个大肠中具有特定的粘膜相关淋巴组织（MALT），其中物种特有的囊性派尔集合淋巴结（PPS）是主要类型的组织。然而，关于PPS的分子特征的详细信息仍不清楚。本研究应用转录组学、非靶向代谢组学和16 S rDNA测序技术，比较了健康期3头双峰驼正常肠组织（PPS）与邻近正常肠组织（NPPS）之间的差异。结果表明，PPS样品可以很容易地区分从NPPS样品的基因表达谱，代谢产物，和微生物组成的基础上，分别表示使用降维方法。共检测到7，568个上调和1，266个下调的差异表达基因（DEG），富集分析发现994个参与免疫相关功能的DEG，共现网络分析确定了9个枢纽基因（BTK，P2 RX 7，Pax 5，DSG 1，PTPN 2，DOCK 11，TBX 21，IL 10和HLA-DOB）。此外，PPS和NPPS在所有代谢产物谱中的大多数化合物都具有相似的模式，并且仅鉴定了113种差异表达的代谢产物（DEM），其中101种被下调。脱氧胆酸（DCA; VIP = 37.96，log 2FC = −2.97，P = 0）、胆酸（CA; VIP = 13.10，log 2FC = −2.10，P = 0.01）和石胆酸（LCA; VIP = 12.94，log 2FC = −1.63，P = 0.01）是组间显著差异的最大贡献者。PPS的物种丰富度显著较低（Chao 1），而厚壁菌门（35.92% ± 19.39%）、拟杆菌门（31.73% ± 6.24%）和变形菌门（13.96% ± 16.21%）是所有样品中的主要门。LEfSe分析显示，赖氨酸芽孢杆菌、Rikenellaceae_RC9_gut_group、Stoquefichus_Stoquefichus、Mailhella、Alistipes和Ruminococcaceae_UCG_005是NPPS组的生物标志物，而Escherichia_Shigella、Synergistes、Pyramidobacter、Odoribacter、Methanobrevibacter、Cloacibacillus、Fusobacterium和Parabacteroides在PPS组中显著较高。在Procrustes分析中，组之间的转录组变化与代谢物或微生物群落没有显著相关性，而代谢物的改变与微生物群落的改变显著相关。在共现网络中，7个DEM（M403 T65-neg、M329 T119-neg、M309 T38-neg、M277 T42 -2-neg、M473 T27-neg、M747 T38 -1-pos和M482 t187-pos）和14个属（例如，Akkermansia、Acidatus-Stoquefichus、Caproiciproducens和丹毒梭菌）聚集得更紧密，表明密集的相互作用。本研究的结果为了解双峰驼盲肠中囊性PPS的免疫微环境提供了新的见解。
Bactrian camels have specific mucosa-associated lymphoid tissue (MALT) throughout the large intestine, with species-unique cystic Peyer’s patches (PPS) as the main type of tissue. However, detailed information about the molecular characteristics of PPS remains unclear. This study applied a transcriptomic analysis, untargeted metabolomics, and 16S rDNA sequencing to compare the significant differences between PPS and the adjacent normal intestine tissues (NPPS) during the healthy stage of three young Bactrian camels. The results showed that samples from PPS could be easily differentiated from the NPPS samples based on gene expression profile, metabolites, and microbial composition, separately indicated using dimension reduction methods. A total of 7,568 up-regulated and 1,266 down-regulated differentially expressed genes (DEGs) were detected, and an enrichment analysis found 994 DEGs that participated in immune-related functions, and a co-occurance network analysis identified nine hub genes (BTK, P2RX7, Pax5, DSG1, PTPN2, DOCK11, TBX21, IL10, and HLA-DOB) during multiple immunologic processes. Further, PPS and NPPS both had a similar pattern of most compounds among all profiles of metabolites, and only 113 differentially expressed metabolites (DEMs) were identified, with 101 of these being down-regulated. Deoxycholic acid (DCA; VIP = 37.96, log2FC = −2.97, P = 0), cholic acid (CA; VIP = 13.10, log2FC = −2.10, P = 0.01), and lithocholic acid (LCA; VIP = 12.94, log2FC = −1.63, P = 0.01) were the highest contributors to the significant dissimilarities between groups. PPS had significantly lower species richness (Chao1), while Firmicutes (35.92% ± 19.39%), Bacteroidetes (31.73% ± 6.24%), and Proteobacteria (13.96% ± 16.21%) were the main phyla across all samples. The LEfSe analysis showed that Lysinibacillus, Rikenellaceae_RC9_gut_group, Candidatus_Stoquefichus, Mailhella, Alistipes, and Ruminococcaceae_UCG_005 were biomarkers of the NPPS group, while Escherichia_Shigella, Synergistes, Pyramidobacter, Odoribacter, Methanobrevibacter, Cloacibacillus, Fusobacterium, and Parabacteroides were significantly higher in the PPS group. In the Procrustes analysis, the transcriptome changes between groups showed no significant correlations with metabolites or microbial communities, whereas the alteration of metabolites significantly correlated with the alteration of the microbial community. In the co-occurrence network, seven DEMs (M403T65-neg, M329T119-neg, M309T38-neg, M277T42-2-neg, M473T27-neg, M747T38-1-pos, and M482t187-pos) and 14 genera (e.g., Akkermansia, Candidatus-Stoquefichus, Caproiciproducens, and Erysipelatoclostridium) clustered much more tightly, suggesting dense interactions. The results of this study provide new insights into the understanding of the immune microenvironment of the cystic PPS in the cecum of Bactrian camels.
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影响因子：
4.7
作者：
Escudero-Paniagua, Beatriz;Bartolome, Ruben A.;Ignacio Casal, J.
通讯作者：
Ignacio Casal, J.
影响因子：
5.6
作者：
Dai L;Tang Y;Zhou W;Dang Y;Sun Q;Tang Z;Zhu M;Ji G
通讯作者：
Ji G
影响因子：
2
作者：
Jung C;Hugot JP;Barreau F
通讯作者：
Barreau F
影响因子：
3.7
作者：
Bang C;Weidenbach K;Gutsmann T;Heine H;Schmitz RA
通讯作者：
Schmitz RA
DOI：
10.1038/ismej.2012.153
发表时间：
2013-04
期刊：
The ISME journal
影响因子：
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作者：
通讯作者：
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