Additional file 2 of Multi-omics reveals that the host-microbiome metabolism crosstalk of differential rumen bacterial enterotypes can regulate the milk protein synthesis of dairy cows
Additional file 2: Table S1. The differential rumen bacteria between type1 and type2. Table S2. The evaluation of network established by all samples. Table S3. The evaluation of network established by type1. Table S4. The evaluation of network established by type2. Table S5. The differential rumen m...
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| creator | Zhang, Chenguang Wang, Mengya Liu, Huifeng Jiang, Xingwei Chen, Xiaodong Liu, Tao Yin, Qingyan Wang, Yue Deng, Lu Yao, Junhu Wu, Shengru |
| description | Additional file 2: Table S1. The differential rumen bacteria between type1 and type2. Table S2. The evaluation of network established by all samples. Table S3. The evaluation of network established by type1. Table S4. The evaluation of network established by type2. Table S5. The differential rumen metabolites between type1 and type2. Table S6. The enriched KEGG pathways of differential rumen metabolites between type1 and type2. Table S7. The differential serum metabolites between type1 and type2. Table S8. The enriched KEGG pathways of serum rumen metabolites between type1 and type2. Table S9. The differential milk metabolites between type1 and type2. Table S10. The enriched KEGG pathways of milk rumen metabolites between type1 and type2. Table S11. The bacteria of 5 modules of rumen microbiome based on WGCNA. Table S12. The bacteria of 10 modules of rumen metabolome based on WGCNA. Table S13. The bacteria of 5 modules of serum metabolome based on WGCNA. Table S14. The bacteria of 7 modules of milk metabolome based on WGCNA. Table S15. The expression level of all modules based on WGCNA of rumen microbiome and metabolome, serum metabolome, and milk metabolome. Table S16. The evaluation of network established by micro1. Table S17. The ASVs sequence of norank_f_Ruminococcaceae in this study. |
| doi_str_mv | 10.6084/m9.figshare.22790578 |
| format | Dataset |
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The differential rumen bacteria between type1 and type2. Table S2. The evaluation of network established by all samples. Table S3. The evaluation of network established by type1. Table S4. The evaluation of network established by type2. Table S5. The differential rumen metabolites between type1 and type2. Table S6. The enriched KEGG pathways of differential rumen metabolites between type1 and type2. Table S7. The differential serum metabolites between type1 and type2. Table S8. The enriched KEGG pathways of serum rumen metabolites between type1 and type2. Table S9. The differential milk metabolites between type1 and type2. Table S10. The enriched KEGG pathways of milk rumen metabolites between type1 and type2. Table S11. The bacteria of 5 modules of rumen microbiome based on WGCNA. Table S12. The bacteria of 10 modules of rumen metabolome based on WGCNA. Table S13. The bacteria of 5 modules of serum metabolome based on WGCNA. Table S14. The bacteria of 7 modules of milk metabolome based on WGCNA. Table S15. The expression level of all modules based on WGCNA of rumen microbiome and metabolome, serum metabolome, and milk metabolome. Table S16. The evaluation of network established by micro1. Table S17. The ASVs sequence of norank_f_Ruminococcaceae in this study.</description><identifier>DOI: 10.6084/m9.figshare.22790578</identifier><language>eng</language><publisher>figshare</publisher><subject>FOS: Biological sciences ; Microbiology</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-1046-3477</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>781,1895</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.22790578$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Zhang, Chenguang</creatorcontrib><creatorcontrib>Wang, Mengya</creatorcontrib><creatorcontrib>Liu, Huifeng</creatorcontrib><creatorcontrib>Jiang, Xingwei</creatorcontrib><creatorcontrib>Chen, Xiaodong</creatorcontrib><creatorcontrib>Liu, Tao</creatorcontrib><creatorcontrib>Yin, Qingyan</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><creatorcontrib>Deng, Lu</creatorcontrib><creatorcontrib>Yao, Junhu</creatorcontrib><creatorcontrib>Wu, Shengru</creatorcontrib><title>Additional file 2 of Multi-omics reveals that the host-microbiome metabolism crosstalk of differential rumen bacterial enterotypes can regulate the milk protein synthesis of dairy cows</title><description>Additional file 2: Table S1. The differential rumen bacteria between type1 and type2. Table S2. The evaluation of network established by all samples. Table S3. The evaluation of network established by type1. Table S4. The evaluation of network established by type2. Table S5. The differential rumen metabolites between type1 and type2. Table S6. The enriched KEGG pathways of differential rumen metabolites between type1 and type2. Table S7. The differential serum metabolites between type1 and type2. Table S8. The enriched KEGG pathways of serum rumen metabolites between type1 and type2. Table S9. The differential milk metabolites between type1 and type2. Table S10. The enriched KEGG pathways of milk rumen metabolites between type1 and type2. Table S11. The bacteria of 5 modules of rumen microbiome based on WGCNA. Table S12. The bacteria of 10 modules of rumen metabolome based on WGCNA. Table S13. The bacteria of 5 modules of serum metabolome based on WGCNA. Table S14. The bacteria of 7 modules of milk metabolome based on WGCNA. Table S15. The expression level of all modules based on WGCNA of rumen microbiome and metabolome, serum metabolome, and milk metabolome. Table S16. The evaluation of network established by micro1. Table S17. 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The differential rumen bacteria between type1 and type2. Table S2. The evaluation of network established by all samples. Table S3. The evaluation of network established by type1. Table S4. The evaluation of network established by type2. Table S5. The differential rumen metabolites between type1 and type2. Table S6. The enriched KEGG pathways of differential rumen metabolites between type1 and type2. Table S7. The differential serum metabolites between type1 and type2. Table S8. The enriched KEGG pathways of serum rumen metabolites between type1 and type2. Table S9. The differential milk metabolites between type1 and type2. Table S10. The enriched KEGG pathways of milk rumen metabolites between type1 and type2. Table S11. The bacteria of 5 modules of rumen microbiome based on WGCNA. Table S12. The bacteria of 10 modules of rumen metabolome based on WGCNA. Table S13. The bacteria of 5 modules of serum metabolome based on WGCNA. Table S14. The bacteria of 7 modules of milk metabolome based on WGCNA. Table S15. The expression level of all modules based on WGCNA of rumen microbiome and metabolome, serum metabolome, and milk metabolome. Table S16. The evaluation of network established by micro1. Table S17. The ASVs sequence of norank_f_Ruminococcaceae in this study.</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.22790578</doi><orcidid>https://orcid.org/0000-0002-1046-3477</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | FOS: Biological sciences Microbiology |
| title | Additional file 2 of Multi-omics reveals that the host-microbiome metabolism crosstalk of differential rumen bacterial enterotypes can regulate the milk protein synthesis of dairy cows |
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