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Fucose

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Projects cited
3 project reports, listed in the margin
Linked from
5 pages2 topics

Fucose enters this corpus in three distinct roles: as a candidate selectively-fermentable substrate in cystic-fibrosis (CF) consortium formulation, as a carbon-catabolism pathway feature that helps separate Pseudomonas genomes by environment, and as one of the carbon pathways most often predicted incomplete by GapMind (a tool that scores metabolic pathway completeness from genome annotations) in organisms that also harbor uncharacterized “dark” genes 1,2,3.

Candidate selective prebiotic in CF consortium design

In the CF formulation pathway screen, fucose is reported complete in Neisseria mucosa (100%) and Gemella sanguinis (100%), against a “PA Complete” figure of 1% for PA (Pseudomonas aeruginosa), giving a reported selectivity of 0.99 — the pattern that makes fucose attractive for competitive-exclusion consortium design. The 1% is a pathway-completeness figure, not a substrate concentration or dose 1.

This is a genomic prediction, not an observed growth result: the project states explicitly that the broad “100% commensal pathway completeness vs 0% PA” contrast is strong but must be validated experimentally. The underlying section limits the claim by carrier species and pathway — xylitol completeness is 98% in Streptococcus salivarius, while PA fucose and rhamnose completeness is 1% — so the headline figure should not be read as a uniform property of commensals or of PA 1.

The same genomic pathway comparison is what motivates sugar alcohols as a prebiotic strategy qualitatively different from amino-acid competition, but growth selectivity remains untested and the prediction is species-specific: each candidate pathway occurs in only 1–2 core species, with xylitol at 98% completeness in S. salivarius and PA fucose and rhamnose completeness at 1%. On the evidence available this suggests the hypothesis that these substrates could feed commensals selectively; it is not an established selective-feeding result — the validation gap tracked in computational-pathway-prediction-validation 1.

Pathway completeness as an environment signal in Pseudomonas

Fucose is among the top features of a Pseudomonas environment classifier, ranking fourth with importance 0.085, behind D-serine (importance 0.132, associated with rhizosphere niches), arabinose (0.094, a plant-derived pentose sugar) and rhamnose (0.086, a plant cell wall component), and ahead of xylose (0.070, hemicellulose-derived); fucose itself is described as a plant/animal glycan sugar 3.

The accompanying between-lineage comparison is a null result: rhamnose and fucose are more complete in P. aeruginosa (66.8%) than the P. fluorescens group (41.3% and 45.1% respectively), though this difference was not statistically significant after FDR (false discovery rate) correction, so the apparent lineage difference is not supported — an instance of null-results-under-limited-statistical-resolution 3.

Those completeness values sit inside a subgenus-level analysis — 62 GapMind carbon pathways compared between two Pseudomonas subgenera, Pseudomonas_E being the P. fluorescens/putida group — and so are not a single-species estimate directly comparable to the CF screen’s per-species PA figure of 1%. The two projects therefore report numbers for fucose completeness in P. aeruginosa that do not sit together, and neither reconciles with the other; both are recorded as given. Both projects derive completeness from GapMind, so the mismatch cannot be attributed to a different prediction tool; whether the genome sets, the taxonomic scope of the “PA” group, or the completeness thresholds differ is a possibility that would have to be verified against each project’s methods before either figure is used in a prediction, and the CF selectivity estimate should be treated as provisional until that is done 1,3.

Fucose as the most frequently gapped carbon pathway

Fucose utilization heads the list of most frequently gapped carbon pathways, with gaps in 32 organisms including Marinobacter, P. stutzeri RCH2 and D. vulgaris. These are computational pathway gaps paired at the organism level with dark genes that have strong fitness effects — each pair is a species holding a nearly-complete pathway and harboring dark genes — and the report states that no direct gene-to-gap enzymatic matching was performed, so no demonstrated fucose-utilization phenotype with an unexplained genetic basis is claimed; confirming that a dark gene supplies a missing fucose step would require EC number matching, structure prediction, or experimental validation. The set is nonetheless a ranked target list for experimental-prioritization-of-functional-dark-matter 2.

Projects cited

  1. Rational Design of Protective Microbiome Formulations for Competitive Exclusion of *Pseudomonas aeruginosa* in Cystic Fibrosis Airwayscf_formulation_design · cited 5× · primary source
  2. Functional Dark Matter — Experimentally Prioritized Novel Genetic Systemsfunctional_dark_matter · cited 2×
  3. Carbon Source Utilization Predicts Ecology and Lifestyle in Pseudomonaspseudomonas_carbon_ecology · cited 4×