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| Status |
Public on Aug 08, 2024 |
| Title |
Integrative genomic reconstruction of carbohydrate utilization networks in bifidobacteria: global trends, local variability, and dietary adaptation |
| Organism |
Bifidobacterium catenulatum subsp. kashiwanohense |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Bifidobacteria are among the earliest colonizers of the human gut, conferring multiple health benefits. While multiple Bifidobacterium strains are used as probiotics, accumulating evidence suggests that the individual responses to probiotic supplementation may vary, likely due to a variety of factors, including strain type(s), gut community composition, dietary habits of the consumer, and other health/lifestyle conditions. Given the saccharolytic nature of bifidobacteria, the carbohydrate composition of the diet is one of the primary factors dictating the colonization efficiency of Bifidobacterium strains. Therefore, a comprehensive understanding of bifidobacterial glycan metabolism at the strain level is necessary to rationally design probiotic or synbiotic formulations that combine bacterial strains with glycans that match their nutrient preferences. In this study, we systematically reconstructed 66 pathways involved in the utilization of mono-, di-, oligo-, and polysaccharides by analyzing the representation of 565 curated functional roles (catabolic enzymes, transporters, transcriptional regulators) in 2973 non-redundant cultured Bifidobacterium isolates and metagenome-assembled genomes (MAGs). Our analysis uncovered substantial heterogeneity in the predicted glycan utilization capabilities at the species and strain level and revealed the presence of a yet undescribed phenotypically distinct clade within the Bifidobacterium longum species. We also identified Bangladeshi isolates harboring unique gene clusters tentatively implicated in the breakdown of xyloglucan and human milk oligosaccharides. Predicted carbohydrate utilization phenotypes were experimentally characterized and validated. Our large-scale genomic analysis expands the knowledge of carbohydrate metabolism in bifidobacteria and provides a foundation for rationally designing single- or multi-strain probiotic formulations of a given bifidobacterial species as well as synbiotic combinations of bifidobacterial strains matched with their preferred carbohydrate substrates.
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| Overall design |
Three biological replicates were analyzed for each of the four conditions (growth in the medium supplemented with different carbon sources)
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| Contributor(s) |
Arzamasov AA |
| Citation(s) |
39005317 |
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| Submission date |
Aug 03, 2023 |
| Last update date |
Aug 08, 2024 |
| Contact name |
Aleksandr Arzamasov |
| E-mail(s) |
[email protected]
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| Organization name |
Sanford Burnham Prebys Medical Discovery Institute
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| Street address |
10901 N Torrey Pines Rd
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| City |
La Jolla |
| State/province |
CA |
| ZIP/Postal code |
92037 |
| Country |
USA |
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| Platforms (1) |
| GPL33642 |
Illumina NextSeq 500 (Bifidobacterium catenulatum subsp. kashiwanohense) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA1001823 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE239955_Arzamasov_raw_count_matrix.txt.gz |
212.2 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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