Abstract:
:Ruminants make large contributions to sustainable agriculture by converting crop by-products into agricultural food. Multi-omics integrative analysis helps to uncover the underlying molecular mechanisms. The liver metabolome-transcriptome interface (LMTI) in dairy cows, including 3938 significant correlations (p < 0.01 and |ρ| > 0.6) among 772 genes, 306 metabolites, and 305 microRNAs, is first demonstrated. How different crop by-products, corn stover (CS) and rice straw (RS), affect the liver metabolic functions based on the LMTI is further analyzed. Compared to the CS-fed cows, 13 out of 24 metabolites have lower relative concentrations (variable importance projection > 1.0 and p < 0.05), and 51 out of 68 genes are downregulated in the RS group (p < 0.01 and fold change < -2). Integrated analysis of metabolomics and transcriptomics reveal that lipid metabolism is most enriched including 14 subpathways. The altered metabolites and genes revealed the enriched ketogenesis induced by the linoleic acid pathways (p = 0.017, topology value = 1), which is supported by blood and histomorphometric phenotypes. The above results indicate the foreseeable liver metabolic disorders when RS is fed to cows. These findings provide new insights into the liver metabolic mechanism and into crop by-products utilization using integrative omics technologies.
journal_name
Proteomicsjournal_title
Proteomicsauthors
Sun HZ,Wang DM,Liu HY,Liu JXdoi
10.1002/pmic.201800122subject
Has Abstractpub_date
2018-08-01 00:00:00pages
e1800122issue
16eissn
1615-9853issn
1615-9861journal_volume
18pub_type
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