Aug 2026· Microbiome Research Reports· 0 citations· 105 references
TL;DR
This study reconstructed the first comprehensive pangenome of B. bifidum using 1,351 high-quality genomes, including metagenome-assembled genomes to identify species-specific genetic and functional features and identified significant gain-of-function events.
Abstract
Background: Bifidobacterium bifidum (B. bifidum) is an infant gut symbiont specialized in degrading host-derived glycans. Despite its relevance in early life, the species’ genomic diversity has not yet been comprehensively surveyed, and current reference collections capture only a fraction of the global B. bifidum pangenome.
Methods: In this study, we reconstructed the first comprehensive pangenome of B. bifidum using 1,351 high-quality genomes, including metagenome-assembled genomes. This dataset was used for in silico comparative genomics analyses to identify species-specific genetic and functional features. In vitro transcriptomics analyses were further performed to validate and functionally characterize selected species-specific traits.
Results: Comparative genomic analysis with other human-associated bifidobacteria species identified 667 B. bifidum-specific clusters of orthologous genes mostly involved in carbohydrate utilization, osmotic regulation, and host interaction. Notably, B. bifidum displays the most extensive enzymatic repertoire for host-glycan degradation, dedicating 43% of its conserved glycoside hydrolases to these substrates. We identified significant gain-of-function events, including two unique phosphotransferase systems (PTS) for disaccharide uptake. Transcriptomic profiling corroborated the functional relevance of these PTS clusters, which were significantly up-regulated during growth on human milk oligosaccharides, mucin, and N-acetylglucosamine. While the species exhibits high genomic stability, a localized divergence (average nucleotide identitiy, ANI < 98.5%) was identified in rural, non-Westernized populations, reflecting niche-specific adaptations.
Conclusion: The identified genomic framework highlighted a distinct evolutionary path of B. bifidum, placing this taxon as a metabolic cornerstone in the neonatal gut via extensive metabolic specialization toward glycan hosts.
The selective isolation and whole genome sequencing (WGS) of Bifidobacterium crudilactis from a pure culture of dairy origin from India offers valuable insights for further exploration of its promising probiotic potential and functional characteristics.
Sneha Kedia, P. S. Rani, Mahanga Nyambero et al.· Gut Pathogens· 0 citations
Genomic and phenotypic results supported the potentials of BGI-N8 and BGI-N9 as candidate probiotic strains with distinct complementary strengths in glycolipid regulation, providing a theoretical basis for their synergistic application.
Jia-Yi Ma, Zhihui Ma, Xinyu Yang et al.· Microorganisms· 0 citations
A global genomic atlas of >7,000 MAGs/genomes from infants, domesticated animals, non-human primates, and ancient humans helps explain subspecies differentiation in the gut microbiota of Western and non-Western infants and provides a framework for community-mediated interventions in early life.
Wei Guo, Wen Zhang, Lili Yang et al.· bioRxiv· 0 citations
The SAR11 Genome Atlas is presented, an interactive ortholog group (OG)-centered web resource that integrates 542 SAR11 genomes, including all 132 cultured strain genomes, with functional annotations, synteny, phylogenetic distribution, metatranscriptomic expression, and predicted protein structure information.
A pan-genome of 17 Nannochloropsis species comprising 14,851 gene families is constructed and a distinct genetic architecture for lipid metabolism is defined: Gene families associated with vesicular transport formed a conserved core functional module, whereas the genetic collection for lipid metabolism showed greater p...
Peng-Juan Zhang, Li-Jun Miao, Hua Wang et al.· Journal of Phycology· 0 citations
Understanding of the metabolic capabilities and genomic landscape of the P. fluorescens species is enhanced, providing a foundation for natural product discovery using bioinformatic approaches.
Sajid Iqbal, Farida Begum· Discover Genetics and Evolut...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.