| Item | Plant A (pig manure) | Plant B (maize silage) | Status A | Status B |
|---|---|---|---|---|
| Methanogens (all routes) | 7 genomes, 4.9 % | 5 genomes, 1.5 % | ok | ok |
| Acetate route (acetate-consuming methanogens) | Methanothrix soehngenii, 3.7 % | Methanosarcina flavescens, 0.49 % | ok | note |
| H₂/CO₂ route (hydrogen-consuming methanogens) | 3 genomes, 0.67 % | 5 genomes, 1.5 % | note | ok |
| Methyl route (methyl-consuming methanogens) | 2 genomes, 0.40 % | 1 genome, 0.49 % | ok | ok |
| Cellulose breakdown (genomes with enzymes anchored outside the cell) | 8 genomes, 3.4 % | 6 genomes, 1.9 % | ok | ok |
| Protein breakdown (genomes with enzymes anchored outside the cell) | 5 genomes, 5.6 % | 10 genomes, 3.7 % | ok | ok |
| Propionate pathway (genomes carrying it) | 31 genomes, 37.1 % | 25 genomes, 20.4 % | ok | ok |
| Ammonia release from ethanolamine (genomes carrying the pathway) | 5 genomes, 3.6 % | 1 genome, 0.45 % | note | ok |
| Butyrate oxidation | — | — | not assessed | not assessed |
| Ethanol fermentation | — | — | not assessed | not assessed |
| Lactate fermentation | — | — | not assessed | not assessed |
| Direct interspecies electron transfer | — | — | not assessed | not assessed |
| Energy conservation | — | — | not assessed | not assessed |
Each value gives the number of genomes and their share of reads. Share of reads = the part of the mapped reads that the genomes make up. ok = nothing unusual. note = thin or present, not a fault by itself: the text below names the measurement to check. attention = a route is missing or very weak. not assessed = no reliable marker, not zero.
In both plants the acetate route rests on one genome. The difference is which organism it is and how much of it there is.
| Plant A | Plant B | |
|---|---|---|
| Acetate consumer | Methanothrix soehngenii | Methanosarcina flavescens |
| Share of reads | 3.7 %, abundant | 0.49 %, scarce |
| Tolerance | sensitive to free ammonia and sudden load changes | tolerates ammonia and acid peaks, and needs more acetate to work |
| Routes it can run | acetate specialist | all three routes, a generalist |
| Methanogens in total | 4.9 % | 1.5 % |
| Ammonia release from ethanolamine (genomes carrying the pathway) | 5 genomes, 3.6 % | 1 genome, 0.45 % |
Protein breakdown also releases ammonia. It is similar in both plants (51.5 % and 56 % of reads). Most of the ammonia comes with the feed. Ammonia release capacity is not a measurement of ammonia. Read it together with your NH₄⁺-N data. The two plants come from two different studies. The literature gives the tolerance and the acetate affinity of the two genera. We did not measure them in these samples. See Jetten et al. 1992, FEMS Microbiol Rev 8:181, and De Vrieze et al. 2012, Bioresour Technol 112:1.
These suggestions come from the genes that the community carries. They are not operating instructions. The plant operator has the process data and makes the decisions on feed, load and additives. Magrittr OÜ is not responsible for those decisions or their results.
Fixed rules make these suggestions from the result tables. The cheapest action comes first. Each line shows the finding that caused it.
Plant A
Plant B
| Plant A | Plant B | |
|---|---|---|
| Feed | pig manure | 69 % maize silage, 19 % cattle manure, 12 % chicken manure |
| Feed total solids | 37 g/L | 293 g/kg |
| Feed NH₄⁺-N | 3.8 g/L | 1.7 g/kg |
| Feed acetate | 12.1 g/L | 1.9 g/kg |
| Genomes scored (share of reads) | 137 (84.6 %) | 137 (87.4 %) |
| Source metagenome | PRJNA356200 | PRJNA301928 |
Feed values are the catalogue authors' calculated feed compositions. About 85 % of the reads in each sample map to the catalogue. The rest is reported as not scored, never as absent.
A route is reported only if a genome has the mcrA gene and the genes of that route. For the acetate route the genome must also belong to a known acetate-consuming group.
Plant A: one abundant specialist does the acetate work. Plant B: one low-abundance generalist does it, with help from partner bacteria that oxidise acetate to H₂ and CO₂. Both plants depend on a single species for the acetate route. The risks differ. Plant A: free ammonia and shock loads. Plant B: loss of the partner bacteria.
A genome can have an enzyme gene while the enzyme never leaves the cell. We look for a domain on the same protein that anchors the enzyme to the cell surface or to the fibre (dockerin, CBM, S-layer). Such enzymes are built to work outside the cell. Enzymes released without such a domain are not detected, so these counts are a lower bound.
| Substrate | Plant A: carry → anchored | Plant B: carry → anchored |
|---|---|---|
| Cellulose, hemicellulose, starch (6 families) | 69 genomes → 8 anchored, 3.4 % of reads | 70 genomes → 6 anchored, 1.9 % of reads |
| Proteins (1 family) | 73 genomes → 5 anchored, 5.6 % | 89 genomes → 10 anchored, 3.7 % |
| Lipids (1 family) | 13 genomes → 0 anchored | 10 genomes → 0 anchored |
| Propionate pathway (carry only) | 31 genomes, 37 % | 25 genomes, 20 % |
| Ammonia release from ethanolamine (carry only) | 5 genomes, 3.6 % | 1 genome, 0.5 % |
Plant B has classic cellulose degraders. Plant A has single enzyme families spread over many genomes. This is the expected difference between a fibre-fed and a slurry-fed reactor. Lipases leave the cell by a different export path that this test does not see. A zero for lipids is normal.
The most abundant genome in Plant A belongs to the Smithellaceae (7.3 %), the family of Smithella. Its relatives oxidise propionate together with hydrogen-consuming methanogens. This fits a manure digester with a high feed acetate.
Five of the 20 panel modules have no reliable marker. This report shows them as not assessed, never as zero. Glycolysis is not scored either, for a different reason: it is assumed present in every genome. That is not "we could not tell". It is "this would tell you nothing". Two scored modules carry a caveat, below.
| Module | Why it is not scored | What it would have told you |
|---|---|---|
| Butyrate oxidation (syntrophic) | No licence-clean detector for bcd and crt: the public HMM families are superfamily-wide and would match ordinary fatty-acid metabolism. | Whether butyrate can be cleared by partner bacteria. |
| Ethanol fermentation | Only accessory-tier markers are curated, and scoring reads the core tier. | Which minor acid routes feed the methanogens. |
| Lactate fermentation | Only accessory-tier markers are curated, and scoring reads the core tier. | Which minor acid routes feed the methanogens. |
| Direct interspecies electron transfer | No core tier defined yet. | Whether conductive partnerships between species are present. |
| Energy conservation (ATP synthase, Ech, Fpo) | No core tier defined yet. | Whether energy-saving complexes are present. |
| Glycolysis | Assumed present by design: central metabolism, not a discriminating marker. | Nothing a digester operator would act on. |
DNA also cannot answer these questions. It does not show activity or rate. It does not show enzymes that leave the cell by the general (Sec) pathway. It does not show which methylated substrate the methyl route uses. It does not cover the 15 % of reads that the report did not score. Taxonomy is from GTDB-Tk, as on a client sample.
Genomes and abundances: Campanaro et al. 2020, Biotechnol Biofuels 13:25 (CC BY), NCBI PRJNA602310. Genomes at ≥ 0.1 % of reads in each sample. Taxonomy: GTDB-Tk 2.7.1, GTDB release 232. Panel: digestome v0, with 86 marker genes in 20 modules. The HMMs come from NCBIfam and Pfam. The reactions come from Rhea. The panel does not use KEGG, MetaCyc, CAZy, dbCAN, MEROPS or SignalP. The panel was tested on 1,401 digester genomes and on 3,043 GTDB species. It gave no false methanogenesis route. The scripts in the digestome repository make every number again from the public inputs. Literature behind the suggestions. Schink B (1997) Microbiol Mol Biol Rev 61:262. De Vrieze J et al. (2012) Bioresour Technol 112:1. Banks CJ et al. (2012) Bioresour Technol 104:127. Demirel B, Scherer P (2011) Biomass Bioenergy 35:992. Handbooks (they support the lever and its direction; none bases a decision on the community): Drosg B (2013) Process monitoring in biogas plants. IEA Bioenergy Task 37. FNR (2010) Guide to Biogas: From production to use. 5th ed., English. Schnürer A, Jarvis Å (2018) Microbiology of the biogas process. SLU.