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. 2016 Jun 3;15:93. doi: 10.1186/s12934-016-0496-5

Table 1.

Transcriptional differences in HP compared to the WT strain at the level of biological processes

Gene sets  HP vs WT
Ontology Name Code Size t1 t2 t3 t4
KEGG Pathway Translation 145 + +
Ribosome sen03010 64 + +
Metabolism of terpenoids and polyketides 128 + + +
Biosynthesis of ansamycins sen01051 13 + + +
Biosynthesis of 12-, 14- and 16-membered macrolides sen00522 8 + + +
Type I polyketide structures sen01052 9 + + +
Nitrogen metabolism sen00910 56
C5-branched dibasic acid metabolism sen00660 10 +
Valine, leucine and isoleucine biosynthesis sen00290 23 +
Tyrosine metabolism sen00350 38
Tryptophan metabolism sen00380 39 + +
Glycolysis/gluconeogenesis sen00010 74
Citrate cycle (TCA cycle) sen00020 48
Pyruvate metabolism sen00620 73
Metabolism of cofactors and vitamins 192 +
Lipid metabolism 169
Fatty acid biosynthesis sen00061 29
Xenobiotics biodegradation and metabolism 175
Styrene degradation sen00643 13 +
Atrazine degradation sen01052 9
Purine metabolism sen00230 88
Nucleotide metabolism 118
Oxidative phosphorylation sen00190 49 +
Inositol phosphate metabolism sen00562 20 +
Membrane transport 138
ABC transporters sen02010 117
GO biological process DNA biosynthetic process GO:0071897 18
DNA replication GO:0006260 29
DNA integration GO:0015074 48
DNA recombination GO:0006310 44 +
DNA repair GO:0006281 45
Transposition, DNA-mediated GO:0006313 62
DNA-templated transcription, initiation GO:0006352 36
Negative regulation of transcription, DNA-templated GO:0045892 19
Translation GO:0006412 68 + + +
Methylation GO:0032259 126 +
Dephosphorylation GO:0016311 26 +
Biosynthetic process GO:0009058 59 + +
Fatty acid biosynthetic process GO:0006633 23
Antibiotic biosynthetic process GO:0017000 16 + + +
Proteolysis GO:0006508 152 + + +
Amino acid transmembrane transport GO:0003333 33
Carbohydrate transport GO:0008643 25

For each ontology used, KEGG pathways or GO Biological process, gene set names, codes and sizes (total numbers of S. erythraea genes associated with the gene set) are shown. Significant enrichment (p < 0.01 for KEGG and p < 0.05 for GO) of the individual gene sets in up- or down-regulated genes at individual time points (t1–t4) is represented by ‘+’ or ‘−’, respectively. Pathways with missing codes are the top KEGG ontology terms