Various β-galactosidase enzymes catalyze the trans-glycosylation reaction with lactose. The resulting galactooligosaccharide (GOS) mixtures are widely used in infant nutrition to stimulate growth of beneficial gut bacteria. GOS consists mainly of compounds with a degree of polymerization (DP) varying from 2-8 and with diverse glycosidic linkages. In recent years, we have elucidated in detail the composition of several commercial GOS mixtures in terms of DP and the structural identity of the individual compounds. In this work, 13 (single) probiotic strains of gut bacteria, belonging to 11 different species, were grown to stationary phase with a Vivinal GOS-derived sample purified to remove lactose and monosaccharides (pGOS). Growth among the probiotic strains varied strongly between 30 and 100% of OD600nm relative to positive controls with glucose. By identifying the components of the pGOS mixture that remain after growth, we showed that strains varied in their consumption of specific GOS compounds. All strains commonly used most of the GOS DP2 pool. Lactobacillus salivarius W57 also utilized the DP3 branched compound β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 2)]-d-Glc. Bifidobacterial strains tended to use GOS with higher DP and branching than lactobacilli; Bifidobacterium breve DSM 20091, Lactobacillus acidophilus W37, and Bifidobacterium infantis DSM 20088 were exceptional in using 38, 36, and 35 compounds, respectively, out of the 40 different structures identified in pGOS. We correlated these bacterial GOS consumption profiles with their genomic information and were able to relate metabolic activity with the presence of genome-encoded transporters and carbohydrate-active enzymes. These detailed insights may support the design of synbiotic combinations pairing probiotic bacterial strains with GOS compounds that specifically stimulate their growth. Such synbiotic combinations may be of interest in food/feed and/or pharmacy/medicine applications.
Various β-galactosidase enzymes catalyze the trans-glycosylation reaction with lactose. The resulting galactooligosaccharide (GOS) mixtures are widely used in infant nutrition to stimulate growth of beneficial gut bacteria. GOS consists mainly of compounds with a degree of polymerization (DP) varying from 2-8 and with diverse glycosidic linkages. In recent years, we have elucidated in detail the composition of several commercial GOS mixtures in terms of DP and the structural identity of the individual compounds. In this work, 13 (single) probiotic strains of gut bacteria, belonging to 11 different species, were grown to stationary phase with a Vivinal GOS-derived sample purified to remove lactose and monosaccharides (pGOS). Growth among the probiotic strains varied strongly between 30 and 100% of OD600nm relative to positive controls with glucose. By identifying the components of the pGOS mixture that remain after growth, we showed that strains varied in their consumption of specific GOS compounds. All strains commonly used most of the GOS DP2 pool. Lactobacillus salivarius W57 also utilized the DP3 branched compound β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 2)]-d-Glc. Bifidobacterial strains tended to use GOS with higher DP and branching than lactobacilli; Bifidobacterium breve DSM 20091, Lactobacillus acidophilus W37, and Bifidobacterium infantisDSM 20088 were exceptional in using 38, 36, and 35 compounds, respectively, out of the 40 different structures identified in pGOS. We correlated these bacterial GOS consumption profiles with their genomic information and were able to relate metabolic activity with the presence of genome-encoded transporters and carbohydrate-active enzymes. These detailed insights may support the design of synbiotic combinations pairing probiotic bacterial strains with GOS compounds that specifically stimulate their growth. Such synbiotic combinations may be of interest in food/feed and/or pharmacy/medicine applications.
Probiotic bacteria influence human health
in various ways, that
is, by modulating the immune system, assisting in fermentation of
dietary nondigestible elements into short-chain fatty acids, and by
inhibiting growth of pathogens. Imbalanced microbiome composition
(dysbiosis) has been related to many diseases, including coronary
heart disease, fatty liver diseases, rheumatoid arthritis, irritable
bowel syndrome, and inflammatory bowel disease.[1−4] Changes in the microbiota composition
may occur naturally during a lifetime but can also be caused by diseases
and through the use of antibiotics. These changes require readjustment
toward a healthy bacterial composition in the recovery phase. Stimulating
growth and activity of beneficial bacteria in the human gut has become
a valuable approach to sustain and restore human health.[5] A growing number of prebiotic molecules, mostly
carbohydrates, have been shown to affect the presence and to increase
the numbers of distinct bacterial groups in the human colon that may
ultimately drive the health
effect.[6]At the beginning of life
the human colon is a nearly sterile environment
that is rapidly colonized primarily by bifidobacteria forming the
microbiota of the healthy infant gut.[7] Human
milk oligosaccharides were found to be the main drivers in infant
gut microbiota development.[8] Infant nutritional
supplements, as replacement for human milk, aim to stimulate the development
of an infant gut microbiota with a composition as close to the natural
situation as possible. For example, current infant formulas often
contain mixtures of galactooligosaccharide (GOS) and fructooligosaccharides
which have been shown to support the formation of a gut microbial
environment that closely resembles that of breastfed infants.[9,10] GOS are primarily produced by incubating β-galactosidase enzymes
at high lactose concentrations. These enzymes use lactose as the donor
substrate for transfer of galactose residues onto lactose or any prior
formed GOS. These GOS molecules exhibit often a terminal reducing
glucose residue elongated with galactose residues toward the nonreducing
end. The GOS yield and product composition are strongly influenced
by the microbial origin of the (mutant) enzyme, reaction conditions,
and substrate concentrations used, resulting in a growing number of
industrially produced GOS mixtures of different compositions.[11,12] These GOS mixtures vary mostly in their degree of polymerization
(DP) ranging from DP2-8 and the presence of different ratios of glycosidic
linkages of β-(1 → 2), β-(1 → 3), β-(1
→ 4), and/or β-(1 → 6). It is unknown whether
and how these individual GOS structures differ functionally.To study the selective stimulatory effects of GOS on the strains
of bacteria that are associated with the human gut, we followed the
bacterial growth in vitro using a GOS mixture as the sole carbon source.
Previously, we have analyzed the composition of 7 commercial GOS mixtures.[20] Vivinal GOS was the most diverse in GOS composition
(with over 40 different molecules), and hence, it was selected for
this study. This allowed us to identify the specific GOS compounds,
differing in DP and glycosidic linkages present, that these bacteria
use for growth. Furthermore, we correlated bacterial growth to the
distinct set of genome-encoded enzymes and transporters that the bacteria
may produce in the presence of GOS substrates.[13] In previous work, Gopal et al. studied two strains, Bifidobacterium lactis DR10 and Lactobacillus
rhamnosus DR20 which utilized different GOS components
within GOS mixtures: B. lactis DR10
consumed GOS with a higher DP while L. rhamnosus preferred the use of galactose and GOS disaccharides.[14] Another study tested the growth of 68 human
derived strains from the genera Lactobacillus and Bifidobacterium on a broad range
of prebiotics including GOS. While many strains grew well on GOS compared
to other substrates, no clear selectivity of the strains toward certain
components of GOS was found.[15] Recently,
a study revealed three subsets of strains of lactobacilli and bifidobacteria
regarding GOS utilization: one group utilizing only GOS DP2, a second
utilizing GOS ≤ DP3, and a third utilizing all GOS oligomers.[16] Another study has observed that different strains
of bifidobacteria have a different preference for GOS molecules but
was unable to identify the specific GOS structures.[17] Kittibunchakul et al. (2018) tested fermentability of 3
GOS mixtures (including Vivinal GOS) using 8 Lactobacillus spp. strains and 3 Bifidobacterium spp. strains. The highest growth scores were obtained with a novel
GOS mixture that contained mostly oligosaccharides with β-(1
→ 3) and β-(1 → 6) glycosidic linkages. The precise
identity of the GOS molecules degraded was not studied however.[18] It, thus, is clear that there is a strain-based
preference for specific GOS DPs, but detailed information about the
structural identity of GOS molecules consumed in terms of glycosidic
linkages is still missing.We recently introduced methodologies
for rapid identification of
the complete structural composition of GOS mixtures.[19,20] Here, we applied this comparative high performance anion-exchange
chromatography with pulsed amperometric detection (HPAEC–PAD)
analysis to identify the GOS structures that were specifically utilized
by probiotic bifidobacteria and lactic acid bacteria (LAB). The results
show that individual strains differ strongly in utilization of pGOS
in terms of the polymerization degree and the type of glycosidic linkages.
These results provide a more detailed understanding of how GOS structures
found in (commercial) prebiotic samples stimulate growth of (commercial)
probiotic bacteria at the level of individual strains and may be of
interest in designing novel synbiotic mixtures.
Materials and Methods
Materials
The commercial probiotic strains Lactobacillus paracasei subsp. paracasei W20, Lactobacillus acidophilus W37, Lactobacillus salivarius W57, Lactobacillus
casei W56, Enterococcus faecium W54, and Pediococcus acidilactici W143, Bifidobacterium animalis subsp. lactis W51, B. animalis subsp. lactis, and B. animalis subsp. lactis W53 were supplied by Winclove Probiotics (Amsterdam, The Netherlands). Bifidobacterium longum subsp. infantis DSM 20088, Bifidobacterium breve DSM
20091, Bifidobacterium adolescentisDSM 20083, and Bifidobacterium bifidum DSM 20456 were purchased from DMSZ (Braunschweig, Germany). Purified
GOS (pGOS), derived from Vivinal GOS with galactose, glucose and lactose
largely removed, was kindly provided by FrieslandCampina Domo (Amersfoort,
The Netherlands). The modified de Man–Rogosa–Sharpe-medium
(mMRS-medium) was prepared as described previously.[21] In brief, 1 L of mMRS-medium contained: peptone 10 g; granulated
yeast extract 2.5 g; tryptose 3 g; Tween80 1 g; K2HPO4 3 g; KH2PO4 3 g; ammonium citrate 2
g; pyruvic acid sodium salt 0.2 g; MgSO4·7H2O 0.575 g; MnSO4·H2O 0.12 g; and FeSO4·7H2O 0.034 g. All the components were dissolved
in aqua bidest. H2O and medium heated to 60 °C to
dissolve all the components. After adjusting the pH to 6.8, the medium
was sterilized by autoclaving (15 min, 121 °C) and supplemented
with filter-sterilized 0.5 g/L Cys-HCl (final concentration). The
carbon-source free Bifidobacterium medium
(cfBM) contained (g/L):[22] trypticase peptone
10 g; yeast extract 2.5 g; tryptose 3 g; K2HPO4 3 g; KH2PO4 3 g; triammonium citrate 2 g;
pyruvic acid 0.3 g; Tween 80 1 g; MgSO4·7H2O 0.574 g; MnSO4·H2O 0.12 g; and NaCl
5 g. All the components were dissolved in aqua bidest. H2O, and after boiling the medium, the pH was adjusted to 6.8. The
medium was sterilized by autoclaving as stated for the mMRS-medium
and afterward supplemented with sterile 0.5 g/L Cys-HCl.
Growth of Probiotic Bacterial Strains
LAB were cultured
in MRS-medium (Oxoid, Basingstoke, UK) in anaerobic culture tubes
flushed with nitrogen using the Hungate technique.[23] Under these conditions, strains were precultured twice
overnight at 37 °C before the growth experiments with GOS; purity
of the cultures was frequently checked under a microscope. For growth
experiments with pGOS, cultures of LAB strains were harvested by centrifugation
(2300g, 2 min) and bacterial pellets were diluted
25-fold in 2× sterilized mMRS. Diluted cultures were mixed 1:1
with sterile pGOS (dissolved in MilliQ water at 10 mg/mL) in microtiter
plates (96 well, flat-bottom) (Greiner Bio-One, Frickenhausen, Germany)
yielding final volumes of 160–200 μL per well.[24] Glucose (5 mg/mL) and the medium without any
carbon source added served as the positive and negative control, respectively.
Inoculation of microtiter plates was carried out inside a glovebox
(Bohlender, Grünsfeld, Germany) constantly flushed with N2 in order to ensure anaerobic conditions. Afterwards, plates
were sealed airtight (Simport, Beloeil, Canada) and transferred into
a microtiter plate reader (BioTek, Winooski, VT) incubating plates
at 37 °C. Plates were shaken continuously at medium speed and
OD600nm measured every 5 min. Bifidobacteria were cultured in Medium
58 following the recipe of the supplier (DSMZ, Braunschweig, Germany),
using anaerobic culture tubes flushed with CO2. Every strain
was precultured twice overnight at 37 °C prior to growth experiments
with pGOS. Bacterial cultures were harvested as described above for
LAB strains and bacterial pellets diluted 25-fold in 2× carbon
source-free Bifidobacterium medium.
For the actual growth experiments, the diluted bacterial cultures
were mixed 1:1 with 10 mg/mL of sterilized pGOS in anaerobic glass
tubes and cultures flushed with 100% CO2. During the growth
experiments, the cultures were maintained at 37 °C and a cell
density meter WPA CO 8000 (Biochrom, Cambridge, UK) was used for direct
measurement of OD600nm within anaerobic glass tubes. All the cultures
were inoculated as independent n = 3 triplicates.pH measurements of cultures were carried out at the time of inoculation
(0 h) and stationary growth phase (18 h for LAB strains, 25–32
h Bifidobacterium strains) using a
pH electrode VWR pH100 (VWR International, Leuven, Belgium).
Carbohydrate Structural Analysis
GOS composition in
commercial mixtures and bacterial cultures was profiled using HPAEC–PAD
as described.[20] Bacterial cultures were
harvested at the stationary phase (see Figure for time points) by centrifugation (2 min,
16 000g). Supernatants were transferred immediately
into HPAEC vials and diluted fivefold in 80% DMSO. GOS molecules were
separated on a CarboPac PA-1 column (250 by 2 mm; Dionex, Amsterdam,
The Netherlands) with a complex gradient of buffer A = 0.1 M NaOH,
buffer B = 0.6 M NaOAc in 0.1 M NaOH, buffer C = deionized water,
and buffer D = 50 mM NaOAc as described.[20] The remaining pGOS composition after growth was analyzed per strain
in n = 3 independent samples, each derived from a
different biological replicate. The samples containing pure pGOS and
the medium without a carbon source added served as positive and negative
controls, respectively.
Figure 1
(A) Bifidobacterial strains grown with 5 mg/mL
pGOS; glucose (5
mg/mL) and modified MRS-medium served as positive and negative controls
(Neg. control), respectively. Growth was followed by measuring ΔOD
manually in anaerobic glass tubes (s. Material and Methods). (B) Strains
from LAB grown with 5 mg/mL pGOS; glucose (5 mg/mL) and modified MRS-medium
served as positive and negative controls (Neg. control), respectively.
OD600nm values were acquired by growing strains in microtiter plates
and following ΔOD using a microtiter plate reader. All the values
shown are means from 3 biological replicates. Most standard deviations
are smaller than the size of the symbols and therefore not apparent.
(A) Bifidobacterial strains grown with 5 mg/mL
pGOS; glucose (5
mg/mL) and modified MRS-medium served as positive and negative controls
(Neg. control), respectively. Growth was followed by measuring ΔOD
manually in anaerobic glass tubes (s. Material and Methods). (B) Strains
from LAB grown with 5 mg/mL pGOS; glucose (5 mg/mL) and modified MRS-medium
served as positive and negative controls (Neg. control), respectively.
OD600nm values were acquired by growing strains in microtiter plates
and following ΔOD using a microtiter plate reader. All the values
shown are means from 3 biological replicates. Most standard deviations
are smaller than the size of the symbols and therefore not apparent.
Genome Analysis
Genbank files of bacterial genomes
including plasmids for the DSMZ strains were downloaded (https://www.ncbi.nlm.nih.gov) at 07-11-2018 or supplied by Winclove. A comparative analysis for
different GOS catabolic pathways identified in the reference strains
was performed. Genomes were submitted to RAST (Rapid Annotation using
Subsystem Technology; http://rast.nmpdr.org/rast.cgi) using RASTtk as the default method.[25] Annotated bacterial genomes were compared for lactose and galactose
utilization to identify candidate genes encoding the LacS/LacZ, LacEF/LacG,
and LacY pathways. Whole CAZomes were established using dbCAN2 (automated
CAZyme annotation; http://cys.bios.niu.edu/dbCAN2/blast.php) to identify candidate
genes encoding galactose-specific glycoside hydrolases (GH) of families
1, 2, 35, 42, and 53.[26] Searches for signal
sequences for secretion in GH proteins were performed with dbCAN2
and PSORTb version 3.0.2 (bacterial localization prediction tool; http://www.psort.org/psortb/).[27] As the RAST subsystem for lactose
and galactose utilization does not contain genes of the GosDEC and
GalCDE pathways, the presence of these genes in bacterial genomes
was checked by cross BLAST searches using the GosDEC gene from B. lactis 04 (Balac_0485, Acc. nr. WP_004268783.1;
Balac_0486, Acc. nr. WP_004269047.1) and GalCDE gene from B. breve UCC2003 (Bbr_0417_galc, Acc. nr. WP_015438440.1;
Bbr_0418_galD, Acc. nr. WP_025262769.1; Bbr_0419_galE, Acc. nr. WP_003828491.1)
as a reference. Total number of candidate genes for each enzyme in
these pathways was retrieved and on this basis a heat map was created
using the program GraphPrism (version 7.0).
Statistical Analysis
All growth experiments are biological
triplicates; the OD600 values are expressed as averages. The medium
without bacterial inoculation was used to obtain blank values during
OD600 measurements.
Results and Discussion
Growth of Probiotic Bacterial Strains on pGOS
Utilization
of GOS compounds was studied by growing the strains under appropriate
anaerobic conditions with 5 mg/mL pGOS or appropriate controls. Most
bifidobacterial strains grew well on pGOS with lag phases and growth
rates close to positive controls (glucose 5 mg/mL) (Figure A). B. breve DSM 20091 and B. lactis W51-52 preferred
pGOS as growth substrates over glucose clearly indicating saccharolytic
capabilities for more complex carbon sources, as observed for bifidobacteria.[28,29] Strains of LAB often grew to a limited extent on pGOS compared to
their positive controls, with OD600nm values ranging between 32 and
49% of Glc controls (Figure B). L. acidophilus W37 was
an exception and reached an OD600nm over 70% of its positive control.
Growth results on pGOS were supported by the final culture pH, close
to (for bifidobacteria) or above (for most lactobacilli) their positive
controls. These results show that LAB strains grew on pGOS only to
a limited extent and that these strains thus differ from most Bifidobacterium strains in their metabolic capabilities
to use pGOS.
Structural Identity of pGOS Compounds Consumed by Probiotic
Strains
The pGOS mixture contained 40 different GOS compounds
(Figures and 3) as identified by peak height differences above
the baseline. Analysis of GOS compounds remaining at the stationary
growth phase (harvesting time points for Bifidobacterium strains, 25 or 32 h, depending on the time required to reach the
stationary phase; for LAB strains 18 h, see Figure ) revealed strain-dependent GOS consumption
profiles. The three B. lactis strains
W51–W53 completely utilized the DP2 compounds β-d-Galp-(1 → 2)-d-Glc, β-d-Galp-(1 → 3)-d-Glc (peak
8), and partially utilized the linear DP4 β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-β-d-Galp-(1 →
4)-d-Glc (peak 17) (Figure A). In addition, HPAEC–PAD chromatograms of
strains W51 and W52 showed an increase in galactose (peak 1, Figure A) while strain W53
had consumed virtually all galactose at the time the cultures were
harvested, as previously observed for various lactobacilli.[21] As the pH in these cultures remained above controls,
this effect is most likely linked to a lactose–galactose antiporter
involved in pGOS metabolism present in the B. lactis strains (further described below).[30,31] The B. breve strain DSM 20091 showed the broadest utilization
of GOS compounds amongst all the strains tested. It consumed 38 out
of the 40 compounds in pGOS; the remaining compounds were the DP4-branched
compounds β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 6)]-d-Glc and β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 4)-β-d-Galp-(1 →
6)]-d-Glc (peak 14a and b). Partially consumed compounds
(detected with the reduced peak height) represented the two linear
elongated DP4 and DP6 structures (peaks 17 and 24). In the chromatogram
of this strain, the galactose peak was found to be reduced compared
to the pGOS standard. Previously, Watson et al.[21] studied the growth and GOS consumption by various other B. breve strains, revealing that strain-dependent
differences may occur. Similar to B. breve DSM 20091, the B. adolescentis strain
DSM 20083 did not use the two DP4-branched compounds eluting under
peak 14 nor DP3 β-d-Galp-(1 →
3)-β-d-Galp-(1 → 4)-d-Glc (peak 12). Interestingly, the latter structure has been linked
to cross-reactive allergies in Japan.[32,33] Partial utilization
was observed with the β-(1 → 4) linear elongated products
of 4′-galactosyllactose (peak 11), that is, DP4 (peak 17),
DP5 (peak 22), and DP6 (peak 24). The latter two compounds were preferentially
utilized by the B. bifidum strain DSM
20456. Furthermore, this strain selectively left the DP3-branched
compounds β-d-Galp-(1 → 6)-[β-d-Galp-(1 → 2)]-d-Glc and β-d-Galp-(1 → 6)-[β-d-Galp-(1 → 2)]-d-Glc (peaks 10 a and b) while
the linear β-d-Galp-(1 → 3)-β-d-Galp-(1 → 4)-d-Glc compound
(peak 12) was consumed. B. bifidum DSM
20456 also did not utilize the DP3 compounds β-d-Galp-(1 → 4)-β-d-Galp-(1 → 2)-d-Glc, β-d-Galp-(1 → 4)-β-d-Galp-(1 →
3)-d-Glc, and β-d-Galp-(1
→ 4)-β-d-Galp-(1 → 4)-d-Glc (peaks 13 and 11, Figure A). The DP4-branched compounds eluting as peaks 14,
15, and 16 were not utilized, neither was the β-(1 →
4) linear elongation of 4′-galactosyllactose (peak 17). Similar
to B. breve, the B.
longum infantis strain DSM 20088 consumed the majority
of GOS molecules. Only DP 5+ and 3′-galacosyllactose (peak
12) were left by this strain. Overall these results show that most Bifidobacterium strains grew well on pGOS and consumed
GOS molecules with a distinct DP and different glycosidic linkage
compositions. Most of the branched structures (peaks 10, 13, 15, and
16) were only consumed by a limited number of strains, particularly
by B. infantis, B. breve, B. adolescentis, and L. acidophilus. Peak 14 is only consumed by B. infantisDSM 20088 and L. acidophilus W37. Branched structure 6a was fermented by all the strains tested
(Figures and 3).
Figure 2
HPAEC–PAD chromatograms of pGOS (control, first
line) and
pGOS after the growth of probiotic strains. For each strain, pGOS
composition was analyzed in n = 3 biological replicates
(numbers 1, 2, and 4 indicate Gal, Glc, and lactose, respectively).
Other numbers indicate single pGOS compounds that were not utilized
by the strains at the stationary growth phase (Figures and 3). Bifidobacterium strains were grown in a carbon source-free Bifidobacterium medium with 5 mg/mL pGOS added for
25–32 h. LAB strains were grown in modified MRS-medium with
5 mg/mL pGOS added for 18 h. Peaks marked * are non-GOS peaks stemming
from the growth medium.
Figure 3
Differential utilization of pGOS components for growth
as observed
for Bifidobacterium and LAB strains
highlighting their diverse capabilities to consume GOS of a specific
DP level and different glycosidic linkages present.
HPAEC–PAD chromatograms of pGOS (control, first
line) and
pGOS after the growth of probiotic strains. For each strain, pGOS
composition was analyzed in n = 3 biological replicates
(numbers 1, 2, and 4 indicate Gal, Glc, and lactose, respectively).
Other numbers indicate single pGOS compounds that were not utilized
by the strains at the stationary growth phase (Figures and 3). Bifidobacterium strains were grown in a carbon source-free Bifidobacterium medium with 5 mg/mL pGOS added for
25–32 h. LAB strains were grown in modified MRS-medium with
5 mg/mL pGOS added for 18 h. Peaks marked * are non-GOS peaks stemming
from the growth medium.Differential utilization of pGOS components for growth
as observed
for Bifidobacterium and LAB strains
highlighting their diverse capabilities to consume GOS of a specific
DP level and different glycosidic linkages present.Rather opposite effects were seen for the LAB strains
that we tested.
These strains mostly utilized a narrow and specific range of GOS molecules. P. acidilactici W143 hardly used the GOS molecules,
only the disaccharides β-d-Galp-(1
→ 6)-d-Gal (peak 3) and β-d-Galp-(1 → 4)-d-Gal (peak 7; Figures B and 3). E. faecium W54, L. salivarius W57, L. paracasei W20, and L. casei W56 utilized in
addition to these structures also the disaccharides β-d-Galp-(1 → 2)-d-Glc and β-d-Galp-(1 → 3)-d-Glc (peak
8). Strains B. lactis W51, B. lactis W53, L. salivarius W57, and L. casei W56 also consumed
allolactose (peak 4). L. salivarius W57 also consumed branched trisaccharide peak 9. L. acidophilus W37 was exceptional amongst the LAB
strains in utilizing a broad range of GOS molecules, similar to what
was observed for the B. infantis strain
DSM 20088. However, residual levels of the linear components β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-d-Glc and β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-β-d-Galp-(1 →
4)-d-Glc were still found, while B. infantis completely utilized these compounds (Figure A,B). The results show that LAB strains often
utilized only the DP2-3 GOS molecules. This is in line with the results
reported in a recent study.[16] In our work,
we were further able to identify the precise molecules consumed from
this DP2-3 fraction by the individual LAB strains. These results show
that LAB grow to a limited extent on pGOS and often only utilize the
DP2-3 GOS molecules. Strain-dependent differences may occur however:
Watson et al.[21] studied L. casei DN-144-001 and reported the use of virtually
all Vivinal GOS-derived components.Bacterial strains employ specific catabolic
pathways to utilize GOS and several possible routes were identified
in bifidobacterial and lactic acid bacterial strains (Figures and 5). The most common route observed for lactobacilli involves a lactose
permease transporter (LacS, identified in L. acidophilus NCFM) in combination with one or more (intracellular) β-galactosidases
of the family GH2 (LacZ/LacLM) (Figure ).[34] This pathway is often
found in genomes of (probiotic) lactobacilli.[35] A second route was identified in L. casei using a lactose phosphotransferase system (Lac_PTS, LacEF) and an
intracellular family GH1 phospho-β-galactosidase (LacG).[36] We searched the available genomes of the probiotic
LAB strains studied here to identify the catabolic pathways that may
be involved in degradation of pGOS compounds. We found that most of
the LAB strains encoded the genes for the LacS/LacZ pathway; however,
they differ in the total number of candidate genes for LacZ (GH2 β-galactosidase)
(Figure ). As an exception, L. paracasei W20 encoded genes for the lactose phosphotransferase
system (Lac_PTS, LacEF). In the growth experiments, L. paracasei W20 reached an OD600nm clearly below
the values of other strains (Figure B), and the structural analysis of pGOS compounds utilized
by this strain revealed specific utilization of only 7 out of 40 pGOS
components, mostly from the DP2 fraction. It is known that this lactose
PTS is specific for lactose uptake and therefore, may explain the
low number of pGOS compounds used by L. paracasei W20.[14] While all other LAB strains employ
genes for the LacS/LacZ pathway, the common presence of this pathway
in these strains does not explain the individual differences observed
in growth and pGOS utilization (Figures B and 3). For example, L. salivarius W57 utilized DP2 GOS, but also metabolized
the branched DP3 component β-d-Galp-(1 → 4)-[β-d-Galp-(1 →
2)]-d-Glc (Figure ). It was previously shown that the GH2 β-galactosidases
associated with the LacZ/LacLM system cleaved GOS with a wide variety
of glycosidic linkages including β(1 → 2,3,4,6) and DP
(2–6).[37] Therefore, we suggest that
the GH2 β-galactosidase or the LacS transporter is the limiting
factor in utilization of GOS. The substrate specificity and (3-dimensional)
structural organization of this transporter needs to be further characterized
within the probiotic strains in order to identify the differences
that may explain differential utilization of pGOS components among
probiotic LAB strains.
Figure 4
Candidate genes involved in GOS catabolism in probiotic
bacterial
strains. (A) Candidate genes in known pathways for LacEF/LacG, LacS/LacZ,
GosDEC/GosG, and GalA/GalCDE/GalG retrieved from BLAST searches of
reference genes against bacterial genomes. The family and number of
GHs annotated with dbCAN2. (B) Signal sequences for extracellular
secretion searched by dbCAN2, PSORTb 3.0 (1, 2).
Figure 5
Catabolic routes identified in Bifidobacterium and LAB to degrade β-galactooligosaccharide compounds from
pGOS. Lactobacillus strains employ
genes of (i) LacEF/LacG pathway to utilize mostly pGOS compounds with
a similar structure to lactose (labelled as fraction “1”)
or (ii) LacS/LacZ pathway to utilize mostly DP2 compounds of pGOS
and certain DP3 compounds (labelled as fraction 1 and 2, respectively).
Bifidobacterial strains employ (i) also the LacS/LacZ pathway to utilize
DP2 compounds from pGOS and in addition (ii) GosDEC/GosG and/or the
GalA/GalCDE/GalG pathway(s) to utilize GOS compounds with a higher
DP.
Candidate genes involved in GOS catabolism in probiotic
bacterial
strains. (A) Candidate genes in known pathways for LacEF/LacG, LacS/LacZ,
GosDEC/GosG, and GalA/GalCDE/GalG retrieved from BLAST searches of
reference genes against bacterial genomes. The family and number of
GHs annotated with dbCAN2. (B) Signal sequences for extracellular
secretion searched by dbCAN2, PSORTb 3.0 (1, 2).Catabolic routes identified in Bifidobacterium and LAB to degrade β-galactooligosaccharide compounds from
pGOS. Lactobacillus strains employ
genes of (i) LacEF/LacG pathway to utilize mostly pGOS compounds with
a similar structure to lactose (labelled as fraction “1”)
or (ii) LacS/LacZ pathway to utilize mostly DP2 compounds of pGOS
and certain DP3 compounds (labelled as fraction 1 and 2, respectively).
Bifidobacterial strains employ (i) also the LacS/LacZ pathway to utilize
DP2 compounds from pGOS and in addition (ii) GosDEC/GosG and/or the
GalA/GalCDE/GalG pathway(s) to utilize GOS compounds with a higher
DP.In comparison to lactobacilli, bifidobacteria employ
diverse catabolic
systems to degrade GOS. In B. breve UCC2003 (and in Bacteroides thetaiotaomicron), it was demonstrated that efficient GOS utilization, particularly
of higher DP compounds, correlated with the expression of a membrane-associated
GH53 endo-galactanase (GalA).[38,39] The gene encoding this
enzyme was part of a galactan utilization operon encoding also an
ABC transporter (GalCDE) and an intracellular GH42 β-galactosidase
(GalG). Another GOS utilization system was identified in B. lactis Bl-04 which employs the LacS/LacZ pathway
and in addition the GosDEC (ABC transporter) with GosG (intracellular
GH42 β-galactosidase).[40] Other strains
with GH53 GalA homologues were found in B. longum but were lacking among the B. longum subsp. infantis strains.[41] The strains in the present study showed variation
in the set of genes potentially involved in the abovementioned pathways.
The B. lactis strains W51–W53
studied here encode an enzyme and a transporter of the GosG/GosDEC
pathway, in addition to the LacS pathway.[40] The genome of the B. infantis strain
DSM 20088 contained multiple candidate genes for the GosDEC and GalDEC
transporter, but no extracellular GH53 enzyme. The lack of a GH53
enzyme, as reported for B. infantis strains,[41] may explain why the strain
DSM 20088 used in this study was unable to use larger GOS (Figure ). The B. breve strain DSM 20091 encoded the highest number
of genes possibly expressed as GosDEC and GalCDE transporters among
all the strains tested (8 and 9, respectively, Figures and 5) as well as
an extracellular GH53 enzyme. Our structural analysis of the pGOS
components utilized by B. breve showed
that the strain DSM 20091 used 38 out of the 40 identified components
and only left the DP4-branched molecules β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-[β-d-Galp-(1 →
6)]-d-Glc and β-d-Galp-(1
→ 4)-[β-d-Galp-(1 →
4)-β-d-Galp-(1 → 6)]-d-Glc (Figure ). As
shown in B. breve UCC2003, the GH53
enzyme and not the GalCDE transporter was essential for GOS utilization;[42] this most likely shows that the B. breve GH53 galactanase is inactive on these two
components. Interestingly, the genome of B. adolescentisDSM 20083 encoded almost no genes for ABC transporters, although
the strain used a broad range of pGOS molecules. We do not know whether
the presence of LacS and GalDEC genes is responsible for GOS uptake
in B. adolescentisDSM 20083 or that
another (unidentified) system is active in this strain. B. adolescentis was the only Bifidobacterium strain in this study that encoded one family GH35 gene. Another
extracellular enzyme (lacZ β-galactosidase,
Acc. Nr. WP_021648433) was found in B. bifidum DSM 20456. This extracellular galactosidase may allow the strain
to degrade larger GOS molecules of DP5 and DP6 (specifically utilized
by this strain, Figure ). At the same time, B. bifidum DSM
20456 did not utilize the DP4- and DP3-branched GOS (compounds nr.
10, 14–16). Together with the linearly elongated structures,
β-d-Galp-(1 → 4)-β-d-Galp-(1 → 2)-d-Glc, β-d-Galp-(1 → 4)-β-d-Galp-(1 → 3)-d-Glc, and β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-d-Glc (nr. 11 and 13, Figure ), these branched molecules may be unsuitable
substrates for the extracellular GH2 enzyme of B. bifidum. The genetic organization of this strain shows similarity to that
of the B. lactis strains W51–W53
(Figure ). An additional
extracellular GH2 enzyme may enable the strain to access larger DP
GOS compounds that comprise linear elongated galactose residues at
the nonreducing end while these molecules are not accessible for the B. lactis strains.Overall, the diversity of
utilization of GOS compounds with different
DP and glycosidic linkages is reflected in the variable catabolic
systems encoded in bacterial genomes. The presence or absence of a
particular system together with different numbers of candidate genes
reflects the differences that are observed between strains in terms
of consumption of GOS molecules. We need further data to show why
strains that encode the same system differ in utilization of particular
GOS molecules. Further characterization (biochemically and/or 3-dimensional
structure) may identify what differences at the protein level result
in the use of (or inability to use) certain components.Moreover,
the role of strains encoding extracellular enzymes during
potential cross-feeding on GOS should be further characterized. These
strains may together with their (purified) extracellular enzymes find
application in synergistic synbiotics, comprising a mixture of probiotic
strains and GOS.
Conclusions
This study has characterized the GOS consumption
profiles of 13
probiotic bifidobacteria and LAB strains, using a purified Vivinal
GOS derived sample (pGOS), with 40 different GOS molecules, as the
carbon source for anaerobic growth. For this purpose, we identified
GOS compounds remaining in the medium at the stationary growth phase
of these bacteria when incubated with pGOS, not only identifying the
DP of the individual GOS compounds left but also their glycosidic
linkage composition.The results revealed bacterial species-dependent
profiles of GOS
compound utilization: the different bacterial strains examined, selectively
consumed a variable number of GOS molecules. The DP4-branched compounds
β-d-Galp-(1 → 4)-β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 6)]-d-Glc and β-d-Galp-(1 → 4)-[β-d-Galp-(1 → 4)-β-d-Galp-(1 →
6)]-d-Glc were hardly utilized by these strains and apparently
are poorly accessible for the GOS catabolic systems encoded in their
bacterial genomes. GOS mixtures comprise mostly compounds that at
the molecular level mimic structures close to lactose and β-galactan;
thus, the GOS utilization correlated well with the different lactose
uptake/degradation and/or β-galactan degradation systems genomically
encoded by these strains. Dietary supplementation with this GOS mixture
is likely to result in enrichment for bacterial strains encoding such
catabolic systems.At the nonreducing end, pGOS majorly comprises
compounds with β(1
→ 4) linked galactose. Only three strains studied were able
to use the GOS DP3+ fraction, providing interesting potential selectivity.
In future work we aim to characterize whether GOS mixtures enriched
in β(1 → 3) or β(1 → 6) elongations at the
nonreducing end are degraded similarly, involving the catabolic systems
described here or whether other pathways are involved in the selective
metabolism of these prebiotic GOS compounds.The results also
show that pGOS, applied as a functional ingredient
in infant nutrition, stimulates growth of a broad range of probiotic
bacteria. This may be advantageous in generation of a diversified
gut microbiota close or beyond the composition of breast-fed infants.
These data also show that synbiotic mixtures of this type of GOS with B. breve, B. infantis, and/or L. acidophilus are most likely
to be successful. Although beyond the scope of this paper, such data
may also be used to prepare GOS mixtures with a tailored composition
to restore dysfunctional microbiome composition in patients with gut-related
diseases.
Authors: Nancy Y Yu; James R Wagner; Matthew R Laird; Gabor Melli; Sébastien Rey; Raymond Lo; Phuong Dao; S Cenk Sahinalp; Martin Ester; Leonard J Foster; Fiona S L Brinkman Journal: Bioinformatics Date: 2010-05-13 Impact factor: 6.937
Authors: Laura Rindom Krogsgaard; Lee O 'Brien Andersen; Thor Bech Johannesen; Anne Line Engsbro; Christen Rune Stensvold; Henrik Vedel Nielsen; Peter Bytzer Journal: Clin Transl Gastroenterol Date: 2018-06-19 Impact factor: 4.488
Authors: Mary O'Connell Motherway; Michael Kinsella; Gerald F Fitzgerald; Douwe van Sinderen Journal: Microb Biotechnol Date: 2012-12-02 Impact factor: 5.813