29310579, BMC Genomics. 2018 Jan 8;19(1):33. doi: 10.1186/s12864-017-4388-9.

Characterization method

gene trait matching exercise

Genomic accession number


Nucelotide position range







Bifidobacterium longum/216816

Degradation or Biosynthesis


Cluster number


Gene name

Gene position

Gene type

Found by CGCFinder?

- 1 - 1350 (+) STP: STP|SBP_bac_1 No
- 1569 - 2531 (+) TC: gnl|TC-DB|D6ZW63|3.A.1.1.48 Yes
- 2534 - 3541 (+) TC: gnl|TC-DB|D6ZW62|3.A.1.1.48 Yes
- 3728 - 5860 (+) CAZyme: GH42 Yes
- 5904 - 6959 (+) TF: DBD-Pfam|LacI,DBD-SUPERFAMILY|0036955 Yes
- 7155 - 9848 (+) CAZyme: GH53|CBM61 Yes
- 10026 - 10415 (-) CDS No
- 10484 - 11353 (+) CDS No
- 11417 - 12100 (+) CDS No




29310579, BMC Genomics. 2018 Jan 8;19(1):33. doi: 10.1186/s12864-017-4388-9.


Gene-trait matching across the Bifidobacterium longum pan-genome reveals considerable diversity in carbohydrate catabolism among human infant strains.


Arboleya S, Bottacini F, O'Connell-Motherway M, Ryan CA, Ross RP, van Sinderen D, Stanton C


BACKGROUND: Bifidobacterium longum is a common member of the human gut microbiota and is frequently present at high numbers in the gut microbiota of humans throughout life, thus indicative of a close symbiotic host-microbe relationship. Different mechanisms may be responsible for the high competitiveness of this taxon in its human host to allow stable establishment in the complex and dynamic intestinal microbiota environment. The objective of this study was to assess the genetic and metabolic diversity in a set of 20 B. longum strains, most of which had previously been isolated from infants, by performing whole genome sequencing and comparative analysis, and to analyse their carbohydrate utilization abilities using a gene-trait matching approach. RESULTS: We analysed their pan-genome and their phylogenetic relatedness. All strains clustered in the B. longum ssp. longum phylogenetic subgroup, except for one individual strain which was found to cluster in the B. longum ssp. suis phylogenetic group. The examined strains exhibit genomic diversity, while they also varied in their sugar utilization profiles. This allowed us to perform a gene-trait matching exercise enabling the identification of five gene clusters involved in the utilization of xylo-oligosaccharides, arabinan, arabinoxylan, galactan and fucosyllactose, the latter of which is an abundant human milk oligosaccharide (HMO). CONCLUSIONS: The results showed high diversity in terms of genes and predicted glycosyl-hydrolases, as well as the ability to metabolize a large range of sugars. Moreover, we corroborate the capability of B. longum ssp. longum to metabolise HMOs. Ultimately, their intraspecific genomic diversity and the ability to consume a wide assortment of carbohydrates, ranging from plant-derived carbohydrates to HMOs, may provide an explanation for the competitive advantage and persistence of B. longum in the human gut microbiome.