Human milk oligosaccharides (HMOs) are the third-largest solid component of milk. Their structural complexity renders them nondigestible to the host but liable to hydrolytic enzymes of the infant colonic microbiota. Bifidobacteria and, frequently,
Bifidobacterium longum strains predominate the colonic microbiota of exclusively breast-fed infants. Among the three recognized subspecies of
B. longum,
B. longum subsp.
infantis achieves high levels of cell growth on HMOs and is associated with early colonization of the infant gut. The
B. longum subsp.
infantis ATCC 15697 genome features five distinct gene clusters with the predicted capacity to bind, cleave, and import milk oligosaccharides. Comparative genomic hybridizations (CGHs) were used to associate genotypic biomarkers among 15
B. longum strains exhibiting various HMO utilization phenotypes and host associations. Multilocus sequence typing provided taxonomic subspecies designations and grouped the strains between
B. longum subsp.
infantis and
B. longum subsp.
longum. CGH analysis determined that HMO utilization gene regions are exclusively conserved across all
B. longum subsp.
infantis strains capable of growth on HMOs and have diverged in
B. longum subsp.
longum strains that cannot grow on HMOs. These regions contain fucosidases, sialidases, glycosyl hydrolases, ABC transporters, and family 1 solute binding proteins and are likely needed for efficient metabolism of HMOs. Urea metabolism genes and their activity were exclusively conserved in
B. longum subsp.
infantis. These results imply that the
B. longum has at least two distinct subspecies:
B. longum subsp.
infantis, specialized to utilize milk carbon, and
B. longum subsp.
longum, specialized for plant-derived carbon metabolism.The newborn infant not only tolerates but requires colonization by commensal microbes for its own development and health (
3). The relevance of the gut microbiome in health and disease is reflected by its influence in a number of important physiological processes, from physical maturation of the developing immune system (
28) to the altered energy homeostasis associated with obesity (
51,
52).Human milk provides all the nutrients needed to satisfy the neonate energy expenditure and a cadre of molecules with nonnutritional but biologically relevant functions (
6). Neonatal health is likely dependent on the timely and complex interactions among bioactive components in human milk, the mucosal immune system, and specialized gut microbial communities (
30). Human milk contains complex prebiotic oligosaccharides that stimulated the growth of select bifidobacteria (
24,
25) and are believed to modulate mucosal immunity and protect the newborn against pathogens (
23,
33,
41). These complex oligosaccharides, which are abundantly present in human milk (their structures are reviewed by Ninonuevo et al. [
31] and LoCascio et al. [
24]), arrive intact in the infant colon (
5) and modulate the composition of neonatal gastrointestinal (GI) microbial communities.Bifidobacteria and, frequently,
Bifidobacterium longum strains often predominate the colonic microbiota of exclusively breast-fed infants (
10,
11). Among the three subspecies of
B. longum, only
B. longum subsp.
infantis grows robustly on human milk oligosaccharides (HMOs) (
24,
25). The availability of the complete genome sequences of
B. longum subsp.
infantis ATCC 15697 (
40) and two other
B. longum subsp.
longum strains (
22,
39) made possible the analysis of whole-genome diversity across the
B. longum species. Analysis of the
B. longum subsp.
infantis ATCC 15697 genome has identified regions predicted to enable the metabolism of HMOs (
40); however, their distribution across the
B. longum spp. remains unknown. We predict that these regions are exclusively conserved in
B. longum strains adapted to colonization of the infant gut microbiome and are therefore capable of robust growth on HMOs. In this work, whole-genome microarray comparisons (comparative genomic hybridizations [CGHs]) were used to associate genotypic biomarkers among 15
B. longum strains exhibiting various HMO utilization phenotypes and host associations.
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