Table 5.
KEGG id | Description | Gene name abbreviation | Pathways | Mean abundance | PLS estimate | VIP | Cluster |
---|---|---|---|---|---|---|---|
K00370 | Nitrate reductase 1, alpha subunit | narG | 2Microbial metabolism in diverse environments; nitrogen metabolism; two-component system | 0.0022 | −0.2272 | 1.22 | 1 |
K01858 | Myo-inositol-1-phosphate synthase | INO1 | 2Metabolic pathways; biosynthesis of antibiotics; streptomycin biosynthesis; inositol phosphate metabolism | 0.0542 | −0.0459 | 1.14 | 1 |
K03685 | Ribonuclease III | rnc | 2Ribosome biogenesis in eukaryotes; proteoglycans in cancer | 0.0288 | −0.0097 | 1.13 | 1 |
K00613 | Glycine amidinotransferase | GATM | 2Metabolic pathways; glycine, serine and threonine metabolism; arginine and proline metabolism | 0.0019 | −0.1417 | 1.09 | 1 |
K02428 | XTP/dITP diphosphohydrolase | rdgB | 2Metabolic pathways; purine metabolism | 0.0147 | −0.0216 | 0.94 | 02 |
K03602 | Exodeoxyribonuclease VII small subunit | xseB | 2Mismatch repair | 0.0035 | 0.0803 | 0.94 | 02 |
K03210 | Preprotein translocase subunit YajC | yajC | 2Bacterial secretion system; quorum sensing; protein export | 0.0069 | 0.1317 | 0.93 | 1 |
K12340 | Outer membrane channel protein TolC | tolC | 2Beta-lactam resistance; cationic antimicrobial peptide (CAMP) resistance; two-component system; bacterial secretion system; plant−pathogen interaction; pertussis | 0.0157 | 0.0068 | 0.92 | 02 |
K03043 | DNA-directed RNA polymerase subunit beta | rpoB | 2Metabolic pathways; purine metabolism; pyrimidine metabolism; RNA polymerase | 1.2470 | −0.0995 | 0.91 | NC |
K04751 | Nitrogen regulatory protein P-II 1 | glnB | 2Two-component system | 0.0151 | 0.0613 | 0.91 | 02 |
K03625 | N utilization substance protein B | nusB | 3Transcription termination | 0.0135 | 0.0766 | 0.91 | 02 |
K06178 | Ribosomal large subunit pseudouridine synthase B | rluB | 3Translation, ribosomal structure, and biogenesis | 0.0693 | −0.0038 | 0.85 | 02 |
K05349 | Beta-glucosidase | bglX | 2Metabolic pathways; biosynthesis of secondary metabolites; cyanoamino acid metabolism; starch and sucrose metabolism; phenylpropanoid biosynthesis | 0.2272 | 0.0063 | 0.84 | 1 |
K05515 | Penicillin-binding protein 2 | mrdA | 2Peptidoglycan biosynthesis; beta-lactam resistance | 0.0295 | 0.0214 | 0.82 | 02 |
K04764 | Integration host factor subunit alpha | ihfA | 3DNA binding: replication, recombination, and repair | 0.0041 | 0.0306 | 0.80 | 02 |
K01709 | CDP-glucose 4,6-dehydratase | rfbG | 2Metabolic pathways; amino sugar and nucleotide sugar metabolism | 0.0041 | 0.2412 | 1.53 | 1 |
K00978 | Glucose-1-phosphate cytidylyltransferase | rfbF | 2Metabolic pathways; amino sugar and nucleotide sugar metabolism; starch and sucrose metabolism | 0.0042 | 0.2634 | 1.43 | 1 |
K14113 | Energy-converting hydrogenase B subunit D | ehbD | – | 0.0010 | 0.1594 | 1.16 | NC |
Each column respectively presents information about: 1) KEGG identifier, 2) description of the gene (from KEGG), 3) gene name abbreviation, 4) metabolic pathways in which this gene participates, 5) mean relative abundance of the microbial gene in 42 animals, 6) the partial least squares (PLS) estimate of the regression coefficient using three latent variables, 7) the variable importance in projection (VIP) calculated during the PLS analysis using three latent variables, and 8) the cluster in which the microbial gene was allocated in the final network. 1Microbial genes excluded from the final network due to the 0.80 minimum correlation threshold. NC, Microbial genes not clustered in the final network. Information retrieved from: 2KEGG database, 3NCBI database, 4BioCyc database, and 5UniProt database. The genes in this table explained 72.9% of the variation in DFI (daily feed intake). Rows colored in gray correspond to genes simultaneously identified for both RFI (residual feed intake) and DFI prediction.