Abstract
Early-life colonization is a critical developmental process influencing infant biological programming, with bifidobacteria playing a key role. This systematic review examines the transmissibility of Bifidobacterium strains from mothers to infants. Adhering to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, 31 articles from 2009 to 2024 were selected from 2825 screened titles and abstracts. Using a narrative synthesis and meta-analysis, the review focuses on studies employing strain-level metagenomic approaches (Protocol registry CRD: CRD42023490507). Ten studies using shotgun metagenomic sequencing identified specific strains of B. adolescentis, B. angulatum, B. bifidum, B. breve, B. pseudocatenulatum, B. catenulatum, and B. longum shared between mothers and infants. A meta-analysis of 810 mother–infant pairs revealed an overall species transmissibility estimate of 30% (95% CI: 0.17; 0.44), with B. longum strains persisting in infants’ guts for up to 6 months. Strain transmissibility was higher in vaginally delivered infants compared to those delivered by caesarean section. This review highlights the high transmission rates of maternal Bifidobacterium strains in early-life gut seeding, particularly B. bifidum and B. longum. Despite ongoing research, uncertainties remain regarding the precise characteristics, transmission routes, and mechanisms of transmitted strains. Comprehensive approaches, including metagenomic sequencing and longitudinal studies, are needed to understand the role of vertical transmission in infant gut microbiome engraftment and its functional implications.
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Introduction
The human microbiota is a complex set of microorganisms that inhabit various human body sites, such as skin, oral cavity, nasopharynx, and genito-urinary and gastrointestinal tracts1,2,3,4,5. Its composition depends on multiple factors such as host genetics, dietary habits, and environment, and is subject to temporal changes1,2,4,6,7. The first 2 years of life are considered a “window of opportunity”, where any physiological event may partake in biological (re)programming with consequential impact on both short- and long-term host health1,8,9,10. Thus, achieving adequate crosstalk or signaling between microbes, and between microbes and host cells through microbial metabolites11, is essential, as well as establishing non-pathogenic microbial colonization by founder species1,12. The initial colonization process by members of the genera Escherichia, Enterococcus and Lactobacillus facilitates subsequent establishment of strict anaerobes, such as members of Bifidobacterium and Bacteroides genera, which become dominant in the healthy full-term infant gut within 1–4 weeks from birth2,9,13,14,15,16,17.
Strain-level metagenomic profiling studies have revealed that the maternal microbiome serves as a source of bacteria for the infant during and after birth13,18,19,20, a phenomenon known as vertical transmission of microbial elements from mother-to-infant15,21. Strain transmission frequency seems to substantially vary between species13,15, and there are numerous factors influencing mother-to-infant transmission and associated persistence of such early bacterial colonizers in the developing gut microbiota, such as maternal and baby diet, use of antibiotics, mode of delivery, gestational age, environment and genetic factors, among others21,22,23,24. Importantly, it has been shown that strains acquired from the mother elicit a high persistence level in the infant gut microbiome15,17,21,25.
Approximately 11% of these early colonizers belong to the Bacteroides and Bifidobacterium genera, persisting throughout the first year of life26. Members of the genus Bifidobacterium usually increase their relative abundance (RA) during the first months following birth13 and dominate the gut microbiota of breastfed infants27, due to eco-physiological characteristics that facilitate the initial colonization of the infant gut28. This initial acquisition and persistence of bifidobacterial strains in the infant is facilitated in part by the specific bifidogenic effect of dietary carbohydrates, in particular human milk oligosaccharides (HMOs) found in human milk (HM)29,30. The absence, depletion or reduction of bifidobacteria in the infant gut during the first months following birth has been associated with an increased risk of acquiring antibiotic resistance, asthma, allergy and infectious diseases31,32,33,34,35,36.
Due to the importance of transfer of specific microbiota components from mother to infant, this phenomenon has been previously explored in a variety of literature reviews22,28,37,38. However, these studies did not comprehensively or specifically address vertical transmission of bifidobacteria, which refers to the transfer of specific microbial strains39, from mothers to infants during the first months of life. Therefore, our objective was to systematically investigate the occurrence of vertical transmission of Bifidobacterium members and their persistence by reviewing existing literature.
Methods
Protocol and registration
This systematic review followed the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines40 for quality, transparency, and replicability, and has been registered on PROSPERO registry [#CRD42023490507]. Please see the end of the Supplementary Material for the PRISMA 2020 Checklist.
Review question(s)
We aimed to explore and quantify the phenomenon of vertical transmission of Bifidobacterium species transmissibility from mother to infant through the formulation of the following research questions (Box 1) inferred via a Population, Exposure, Comparator, Outcome, Time frame, Study design (PECOTS) approach (Table 1):
Eligibility criteria
The eligibility criteria have been described in Box 2. Additionally, we only included healthy control groups from case-control studies.
Search strategy
The literature search was conducted until December 2023, as guided by the inclusion and exclusion criteria, and using the public databases PubMed, Cochrane Library, Web of Science, and Scopus. This search adhered to the Peer Review of Electronic Search Strategies (PRESS) guidelines41, incorporating search strings with Boolean and proximity operators (Supplementary Table 1), reviewing references, and deliberately avoiding filters by date of publication to ease literature saturation.
Study selection, and data extraction and synthesis
Using the Rayyan software42, two reviewers blindly screened the title and abstract, and then the full text in two separate stages. In addition, between screening stages, disagreements were resolved between reviewers. A pilot-test table was developed to agree upon the necessary data to be extracted. To facilitate a narrative synthesis of the data, a tabulation was created to include details such as study design, and other details of interest stratified by the origin of the maternal sample, and year of study due to the evolution of technologies and bioinformatic pipelines used to investigate vertical transmission. The extracted data was cross-checked by a second author to confirm that data had been accurately extracted (Supplementary Tables 2 to 6). As per the quantitative synthesis, this process included reviewing the pooled number of mother-infant pairs sharing Bifidobacterium species and strains, extracted from the main manuscript, main figures, supplementary documents, and, when needed, by contacting authors for clarification of studies that had conducted shotgun metagenomic techniques.
To obtain a graphical representation of the studies that had explored transmission of bifidobacteria from mother to infant, the packages ggplot243, maps44, mapdata45, and dpylr46 were used in R software with RStudio environment47. In addition, to conduct a meta-analysis, we selected the species- and strain-level metagenomic analysis outputs. Subgroup analysis by taxonomy was then performed using the extracted counts of shared Bifidobacterium strain events. Additionally, we considered studies that had conducted metagenomic shotgun sequencing and utilized specific pipelines to perform strain-level analysis (StrainPhlAn48, Constrain49, Instrain50, etc.), aiming to reduce potential sources of heterogeneity in the random-effects meta-analysis. The input for meta-analysis can be found in https://github.com/EFV1995/VT_proportional_MA. To calculate the proportion of strains shared within shared Bifidobacterium species between mothers and their infants, we used the equation provided below:
The meta-analytical technique and forest plots were generated using the tidyverse51, metafor52 and the meta53 packages in R software with RStudio environment47. The scripts and pooled data for the meta-analysis, along with the map, are available at: https://github.com/EFV1995/VT_proportional_MA. The technique included an inverse variance method, Der Simonian-Laird estimator for tau^2, Jackson method for confidence interval of tau^2 and tau, Freeman-Tukey double arcsine transformation, and Clopper–Pearson 95% confidence interval (CI) for individual studies to perform a random effect model and a forest plot.
Critical appraisal
To evaluate the methodological rigor and risk of bias we used the checklist from Joanna Briggs Institute54 to assess the cross-sectional, and longitudinal studies, and randomized controlled trials (Supplementary Tables 7 and 8).
Results from literature search
Descriptive overview
The search across four different search engines yielded a total of 2825 articles. After removing duplicates using automated tools and evaluating titles and abstracts, 2447 articles did not meet the inclusion criteria and were excluded (Fig. 1). During the full-text screening of the remaining 122 articles, 91 articles were excluded. These articles did not address strain sharing, acquisition or persistence specifically analyzing bifidobacteria. Among these, some studies55,56,57,58,59,60,61,62 explored maternal and infant microbial compositions as clusters thus not allowing the isolated study of bifidobacteria. Additionally, ten articles63,64,65,66,67,68,69,70,71,72 did not provide a clear definition for vertical transmission or strain sharing, therefore these were excluded to preclude misinterpretations, and seven articles used molecular techniques (Random Amplified Polymorphic DNA (RAPD), Amplified Fragment Length Polymorphism (AFLPs), Multilocus sequence typing (MLST) and targeted Polymerase chain reaction (PCR))73,74,75,76,77,78,79. Finally, 31 studies assessed Bifidobacterium transmission events from different body sites or HM of the mother to the corresponding infant gut microbiota using DNA sequencing technologies (Supplementary Table 6), highlighting the highly heterogeneous definitions for “vertical transmission” from the included studies (Supplementary Table 7). Vertical transmission has primarily been investigated in European cohorts (n = 21), with a comparatively small number of studies conducted in Asian countries (n = 6), the United States (n = 4), Africa (n = 3), and South America (n = 2) (Fig. 2), with varying sample sizes. These studies encompassed a range of sample sizes, including less than 20 mother-infant pairs18,25,80,81,82,83,84,85,86,87,88,89,90,91,92, between 20 and 50 pairs15,19,93,94,95,96,97,98, 50 to 100 pairs39,99,100,101,102,103 and with more than 100 pairs13,14,104,105, including 24 studies that had followed a longitudinal prospective study design13,14,15,18,19,25,80,81,83,85,86,88,91,93,94,95,96,98,99,100,101,102,103,104,105, and 7 cross-sectional designs82,83,84,88,90,97,106 (Supplementary Tables 2–5).
Inference of vertical transmission of Bifidobacterium members
Studies utilizing shotgun metagenomic sequencing report Bifidobacterium genus abundances in infant gut ranging from 52%13 to 67%90. The majority of studies investigated either the transfer of bifidobacteria to the infant gut only from HM through vertical transmission (n = 9)81,84,90,93,94,96,102,104,106, from maternal fecal contents (n = 13)14,19,39,73,82,85,86,92,97,99,100,101,103 or from both mother gut and milk (n = 12)13,18,25,80,83,87,88,90,91,95,98,105. Other regions have been explored less frequently, including oral cavity (n = 3)13,15,90, breast skin upper area (n = 2)15,90, rectum (n = 2)78,90, and vagina (n = 6)13,15,39,90,92,103. From these, Ferretti et al.15 and Feehily et al.13 studied simultaneously four potential maternal anatomic regions in 25 Italian and 132 Irish mother-infant pairs, respectively. Furthermore, the time intervals for sample collection varied, spanning from days39,92,105, to several weeks78,79,80,83,86,87,88,93, months13,14,15,19,25,81,82,85,90,94,96,98,102,103,106, and some extended to years18,84,95,97,99,100,101,104. In certain cases, follow-up periods extended up to 2 years99,100 and 5 years84 (see Supplementary Tables 2–5 for detailed information regarding the time points for sample collection)19,73,82,85,86,97,99,100,101.
Bifidobacterium species transmission from the maternal gut to the infant gut
Most studies employed maternal fecal samples as a source of Bifidobacterium strains for the infant´s gut13,14,15,18,25,82,92,97,98. A longitudinal study conducted in 201815 shotgun metagenomic sequencing was used to analyze strain sharing among 25 healthy mother–infant pairs in Italy over a period of 4 months. The participants included 56% who were breastfed, 16% exclusively formula fed, and 12% who received mixed feeding. Strain distances were compared using PanPhlAn and StrainPhlAn. A threshold of 0.1 indicated strains as the same or different based on their genetic similarity, as determined from a bimodal distribution of all-versus-all normalized species-specific strains distances. Applying this definition, the authors observed clear maternal routes of transmission, confirmed by Single Nucleotide Variant (SNV) identity patterns. Specifically, they observed one strain sharing event of B. breve and B. longum from maternal stool samples to infant stool samples, yet no sharing events were detected for B. bifidum15. In a multi-cohort cross-sectional study spanning Colombia, Argentina, China, Guinea-Bissau, Italy, and the USA (38), 87% of paired fecal samples from mothers and infants shared identical B. bifidum strains, indicating high species transmissibility. Through StrainPhlAn strain level analysis, a total of 13,278 instances of mother-to-infant shared B. bifidum strains were identified, with a transmissibility rate of 0.93. Notably, B. longum strains were consistently shared in pairs from high income countries datasets but strain-sharing events were absent in low- and middle-income counties datasets, highlighting distinct transmissibility patterns.
In a separate study13, evidence of vertical transmission was found in a 3-month longitudinal study utilizing a genomic-cultivation-based approach in stool samples from 132 Irish mother–infant pairs. Of these pairs, almost 50% were exclusively breastfed, 31% received mixed feeding, and 20% were exclusively formula-fed. The authors identified Bifidobacterium strains exhibiting an Average Nucleotide Identity (ANI) exceeding 99.9%. Although transmitted at apparently low RAs, among the 36 shared species, the most prominent ones were B. longum subsp. longum with an RA of 2.09% and a detection rate of 311 out of 368, and B. adolescentis, with an RA of 2.42% and a detection rate of 253 out of 368 maternal stool sample13. Additionally, another metagenomic sequencing study, a 3-month longitudinal study of 44 Finnish mother–infant pairs, identified 7 and 5 strain-sharing events between samples of B. longum and B. adolescentis, respectively19, referring to the observation of highly similar nucleotide variation patterns in two individuals. Moreover, Manara et al.97 conducted a cross-sectional study in 25 Ethiopian mother-infant pairs from a rural area, categorizing them into an under 1 year and a 12-year-old group, where a similar definition of strain sharing was applied through the construction of phylogenetic trees to establish a phylogenetic distance threshold. The study found that Bifidobacterium species were all present, yet no specific strains were shared in pairs from low- and middle-income country populations. Notably, Shao et al.14, conducted a longitudinal prospective study with a follow-up of 12 months, 175 British mother–infant pairs, using the StrainPhlAn profiling tool, and stablishing as a criteria to infer transmission, a strain distance threshold of 0.1. The study reported that delivery mode influences significantly species transmissibility, being higher in vaginal deliveries when compared to c-section deliveries (Supplementary Table 3).
Calculation based on the pooled number of mother-infant pairs with shared strains and the number of mother-infant pairs with shared species. The analysis includes studies that had conducted metagenomic sequencing using the computational tool StrainPhlAn. Red squares represent the point estimates of strain transmissibility for each study, reflecting the proportion of shared strains. Horizontal lines through the squares indicate the 95% Clopper-Pearson confidence intervals, illustrating the range within which the true proportion is expected to lie with 95% certainty. The diamond at the bottom represents the pooled effect size, summarizing the overall estimate across all studies, with its width depicting the combined confidence interval. *Data extracted from Valles-Colomer et al 2023. ** No strain retention observed over time.
Bifidobacterium species transmission from the maternal vagina to the infant gut
Vaginal swab samples were analyzed in six studies13,15,39,90,92,103. Wampach et al.92 found that within the first five days postpartum, infants delivered vaginally exhibited multiple strains of Bifidobacterium derived from vaginal swabs collected at birth, on the 3rd day, and on the 5th day, with a species transmissibility of 71%. Notably, no such strains were observed in infants delivered via cesarean section. However, strain profiling of over 9500 metagenomes in a multi-cohort study substantiated these findings, indicating that vaginal delivery significantly increased strain transmission rates39. Moreover, a cross-sectional study90 conducted in 2020 among 20 mother-infant pairs from the United States, performed shotgun metagenomic sequencing on vaginal microbial samples that had been collected on the 3rd and 111th day after birth, but did not show evidence of vertical transmission nor of abundance of Bifidobacterium nor of B. breve. Conversely, in a more recent study in samples with very low RAs, Feehily et al. 13 showed via a cultivation and shotgun metagenomic sequencing, that vaginal delivery had significantly higher sharing occurrence of Bifidobacterium transfer from mother to infant, including 9 sharing occurrences of B. adolescentis, 12 of B. bifidum, 13 of B. breve, 1 of B. catenulatum, 15 of B. longum, and 1 of B. pseudocatenulatum, when compared to pairs that had been delivered by cesarean section. Additionally, almost 50% of the participants were exclusively breastfed (Supplementary Tables 4 and 5).
Bifidobacterium strain transmission from other maternal anatomical regions to the infant gut
A small number of studies explored Bifidobacterium strains derived from maternal oral cavity13 or tongue dorsum15, upper breast skin15, areola90, and rectal swabs90,103. Kordy et al.90 collected areolar skin samples and rectal swabs from 20 mother–infant pairs in the United States between the 3rd and 111th day after birth, with 30% of the infants being breastfed. They conducted strain-level analysis using ConStrains90, along with 16S rRNA gene sequencing. The study identified in 1 out of 20 mother–infant breastfeeding pairs a shared strain of B. breve between maternal rectal swab samples, areolar skin cultivation-detect and infant stool samples in a C-section delivery. Contrarily, Mitchell et al.103 conducted a study evaluating the effects of delivery on species transmissibility in 75 American mothers–infant pairs. Shotgun metagenomic sequencing identified only one instance of species sharing, specifically B. breve, but did not identify strain sharing events, independently of delivery mode. Nonetheless, Feehily et al.13, used a cultivation and shotgun metagenomic sequencing approach, and identified shared stains at low RA of B. longum, B. pseudocatenulatum, B. catenulatum, B. breve, B. bifidum, and B. adolescentis derived from maternal stools, HM, and vaginal swabs. Conversely, a longitudinal study15 did not detect transmission events from tongue dorsum and upper breast skin Bifidobacterium strains to infant gut. This study from Ferreti et al.15 was based in Italy among 25 mother–infant pairs that had collected tongue dorsum samples at day 1 and day 3 after delivery, and infant stool samples at day 7, 1st month, and 4th month after delivery. Of these participants, 56% were exclusively breastfed (Supplementary Table 5).
Bifidobacterium strain transmission from HM to the infant gut
To investigate strain transmissibility from HM to the infant gut, research has utilized shotgun metagenomic and genomic sequencing methods to identify bifidobacterial strains in HM samples13,18,25,90. Due to problems related to low microbial biomass and higher human DNA, metagenomic approaches are limited18,25. To overcome this, a longitudinal study spanning 3 months after birth combined cultivation techniques and whole genome of HM bacterial isolate, involving 132 Irish mother-infant pairs. Within a subset of 34 pairs, 13 shared strains between HM and infant stools were identified13 (Supplementary Tables 2, 4, and S5).
Findings from the proportional meta-analysis of transmission events
Although 12 studies had performed shotgun metagenomics sequencing13,14,15,18,19,25,39,82,90,97,98,103, only 10 studies (10/12, 83.3%) had performed strain-level microbial profiling through StrainPhlAn13,14,15,18,39,82,92,97,98. The meta-analysis explores the species depicted in the forest plot (Fig. 3), estimating the overall proportion of species transmissibility across all Bifidobacterium strains to be 0.298 [95% CI: 0.17; 0.44], observed based on 810 mother-infant pairs with shared Bifidobacterium species. This indicates that ~30% of mother-infant pairs that share a Bifidobacterium species, harbor the same strain. The high I² value of 91% suggests substantial heterogeneity across the studies, indicating that the observed transmissibility proportions vary significantly. Subgroup analysis by species shows varying proportions among different Bifidobacterium strains, with significant heterogeneity within each subgroup. The test for subgroup differences indicated that the observed differences in species transmissibility among Bifidobacterium species were non-significant (P = 0.54). In addition, B. pseudocatenulatum and B. bifidum species showed relatively high overall species transmissibility (0.451 [95% CI: 0.006; 0.958] and 0.389 [95% CI: 0.091; 0.732], respectively), with substantial heterogeneity suggesting variability in study results. Moreover, B. breve represented a species transmissibility under the overall estimate (0.077 [95% CI: 0.000; 0.264]), with low heterogeneity (I² > 36%), indicating consistent findings across studies. B. longum exhibited moderate species transmissibility (0.251 [95% CI: 0.053; 0.513], with substantial heterogeneity, reflecting varied results in studies (I² > 90%). Furthermore, B. angulatum and B. catenulatum species denoted a high although heterogenous transmissibility (0.45 [95% CI: 0.000; 1.0] and 0.746 [95% CI: 0.000; 1.0], respectively) with moderate heterogeneity, indicating potential differences in transmissibility among studies (I² = 83% and I² = 80%, respectively). Some studies did not identify transmission events for B. adolescentis97, B. breve39,97, B. longum97, B. bifidum15,92,97, B. angulatum, and B. catenulatum97. In contrast, Valles-Colomer et al.39, collated data from several datasets observing high species transmissibility rates for B. pseudocatenulatum reaching more than 60%, B. adolescentis 82%, B. longum almost 60%, B. bifidum 93%, B. angulatum, 80%, and B. catenulatum 76%, approximately (Species transmissibility and observed persistence is shown in Fig. 3).
Discussion
In this systematic review we reported the occurrence of vertical transmission of Bifidobacterium, identifying studies that had explored which and how Bifidobacterium genus, species and strains are transmitted, mainly from HM or fecal samples, and from other maternal body sites with lower microbial abundances including oral cavity, skin, rectum, and vagina. Furthermore, we run a random-effect meta-analysis (Fig. 3) demonstrating, that on average, Bifidobacterium strains identity explained about 30% (95% CI: 0.17; 0.44) of all shared Bifidobacterium species instances between mother to infant samples. Significant heterogeneity between species was observed (I^2 = 91%; p-value < 0.01), with B. longum having the highest weight in the meta-analysis (24.7%). In addition, among the included species in the meta-analysis, and considering the high amount of observed shared species, B. bifidum showed the highest transmission rate at 96% in one study14.
What are the main routes for mother-to-child Bifidobacterium transmission?
The main source for mother-to-child Bifidobacterium transmission is the maternal gut, as detailed in the metagenomic studies13,15,19,87,98. Nevertheless, this might have been inferred by oversampling of maternal stool samples, and the exact route(s) for transmission remain unknown107. Furthermore, although we hypothesized that delivery mode could play a critical impact, other early fecal-oral transmission routes could occur, and there are insufficient studies looking at other body sites. A number of studies25,80,81,84,90,93,95,96,102,104 did not conduct cultivation or shotgun metagenomic sequencing, and transmission cannot be inferred by targeting single or variable regions, such as V3-V4108 (Supplementary Table 6). Nevertheless, studies have identified bifidobacteria in maternal feces, HM and neonatal feces81. Metagenomic sequencing has shown transmission of strains from mother to infant feces, as shared strains have been identified in HM, and mother-infant fecal samples13, however there is currently no convincing evidence supporting proposed theories such as the enteromammary pathway.
What are the main factors affecting the vertical transmission of Bifidobacterium?
Most of the included studies have not assessed this aspect; thus, this represents a gap in knowledge that further research will need to address. Some studies have suggested that factors such as membrane rupture during birth, country of birth, delivery mode, antibiotic treatments of the individual, and bifidobacterial status of infants influence strain transmissibility13,14,97,98. It is important to note that studies examining the impact of delivery methods often fail to specify the methodology for obtaining vaginal swabs90, which may lead to the collection of superficial samples prone to fecal contamination. A number of studies identify higher Bifidobacterium species transmissibility in vaginally delivered infants13,14,97,98,109, finding that the delivery mode significantly influenced the transmissibility of Bifidobacterium strains. Specifically, these studies observed a higher transmissibility rate in vaginal deliveries compared to cesarean sections. In addition, strains of Bifidobacterium subspecies that harbor genes coding for glycoside hydrolases or HMO degradation exhibit higher transmissibility and persistence. Shotgun metagenomic sequencing, as shown in studies13,98, indicates that B. longum subsp. longum not only has enhanced capabilities for adapting to diverse dietary environments but also demonstrates higher transmissibility rates. These findings suggest that the genetic and enzymatic profiles, which vary across subspecies and strains, significantly influence their ability to establish and maintain populations within the host gut. Such genetic and enzymatic variability may explain the differences observed in the meta-analysis of B. longum subgroups, highlighting the impact of genetic diversity on ecological success.
There is indeed need for more research, where populations from low- and middle-income countries have scarcely studied vertical transmission of bifidobacteria, and we identified only two studies comparing populations by geolocation that have shown differences between Asian and European105, and western and non-western populations39,97. These studies indicate different rates of transmission and response to the exposome, influenced by factors such as the mode of delivery, breastfeeding practices, and the use of antibiotics104, and it also remains unclear how maternal diet and health status influence the bacterial transmission to the infant’s microbiome. Furthermore, the environment also influences these processes, with notable variations in initial infant gut seeding and vertical transmission events between mother–infants pairs in industrialized and non-industrialized areas110. Nevertheless, this knowledge has been blurred by the bias of studies that only involve industrialized countries and urban areas. In addition, there is a gap to study the strain functionality via the combination of ‘omics’ sciences including transcriptomics of the vertically transmitted bifidobacteria as it appears to be more important than individual bacterial strains in influencing health outcomes, where a list of bifidobacteria genes are involved in its capabilities111, and the expression of these genes matters in Bifidobacterium strains to be vertically transmitted and to colonize a host. To unveil this matter a comparative of bifidobacteria strains that have and that have not been vertically transmitted is required to explore the differences, such as the transcription of bifidobacterial exopolysaccharide biosynthesis112, where certain B. bifidum strains lack exopolysaccharide gene clusters113, which set them apart from other Bifidobacterium members.
What are the current technical limitations of identifying mother-to-infant transmission events with better confidence and increased resolution?
To analyze the transmission events, different methods have been used, ranging from PCR-based techniques73,74,75,76 to cultivation, sequencing and sequencing-cultivation based approaches (Supplementary Table 6). The compelling evidence on mother–infant vertical transmission of Bifidobacterium during the first months of life have led to a conceptual dilemma, where the definitions for “vertical transmission” and “strain” have been highly heterogenous (Supplementary Table 7), leading to misconceptions. Consensus on the definition of “microbial strain” in the microbiome context has not yet been reached39,114,115, and there are a number of studies that have conducted 16S rRNA gene sequencing to explore the phenomenon of “vertical transmission”, also using OTU or ASV assignments which do not possess sufficient resolution to reach the necessary depth to establish strain transmission, however, both ASVs and OTUs have been found to generate biologically meaningful and comparable results116. Moreover, Feehily et al.13 identified difficulties in strain definition, where a clade of B. breve strains was found with very high ANI values in a wide range of mother-infant pairs. Although shotgun metagenomic sequencing can provide the throughput needed to infer the transmission of many members of the microbiome at once117, when planning studies, researchers need to consider sequencing depth, and length, and type of sample, among other factors. On the other hand, cultivation-based techniques allow the identification of some viable bacteria, thus, to study the phenomenon of initial seeding and persistence of the infant gut bacteria15. Another source of variability in the meta-analysis is the sequencing length, depth and the sequencing platforms used in different studies, as shown in Supplementary Table S6. These differences range from 100 bps103 to 300 bps13, sequencing depths from 0.5 million reads103 per samples to 517 billion reads per sample39, and various technologies such as the Illumina NextSeq50090, Illumina HiSeq 200025, Illumina HiSeq 250018, and Single-molecule real-time sequencing by PacBio13. Such variability may indeed contribute to the observed heterogeneity in the individual strain transmissibility events. For instance, studies with higher sequencing depths18,39,97,98 have shown higher strain transmissibility rates B. adolescentis, compared to those with lower reads103. However, for other species such as B. longum, this was not observed.
We need more longitudinal studies that combine metagenomics, the study of genetic material recovered directly from samples, with cultivation-based techniques methods that involve growing microorganisms in laboratory culture and whole genome sequencing. These studies are necessary to analyze not only vertical transmission of strains with low RA but also the persistence of viable bacteria13, and of genomic signatures that may facilitate vertical transfer and colonization. Additionally, to investigate in an integrative manner the routes and mechanisms of bifidobacteria transmission, particularly from HM or fecal samples to the infant gut, studies will require a combination of in vitro experiments, animal models, and molecular biology techniques. This may involve co-culture systems using human-derived cell lines to simulate interactions between bifidobacteria strains and host epithelial cells, as well as Transwell assays118 to assess bacterial translocation across epithelial barriers. To mimic human microbial colonization patterns and investigate transmission dynamics in vivo, animal models such as gnotobiotic mice or germ-free animals could be employed. Furthermore, to delineate colonization patterns, fluorescence labeling combined with microscopy techniques of bifidobacteria in host tissues may aid, along with other molecular biological techniques such as whole-genome sequencing which will allow for the quantification and identification of shared strains.
Moreover, bioinformatic methods for detecting strain transmission have primarily relied on tools such as StrainPhlAn, with other utilized tools including inStrain13 and ConStrains90. However, when analyzing metagenomic samples, these tools often exhibit discrepancies. These inconsistencies manifest in varying ANI calculations among genomes with known in silico mutations, deviations from the ideal 100% ANI in genomic comparisons within defined microbial communities, and differences in stringency for identifying identical microbial strains50. Such nuances highlight the need for further refinement and standardization in bioinformatic workflows to accurately assess strain transmission.
Strength and limitations
This review has followed the PRISMA and PRESS guidelines to ensure quality and to explore the complex concept of transmission within a systematic approach, with a particular focus on Bifidobacterium members, while acknowledging the challenges posed by evolving technologies and inconsistent terminology. It conducts an evaluation of the risk of bias in included studies (Supplementary Tables 7 and 8), revealing methodological shortcomings in many cases, such as unreliable measurement of bacterial strains thus of the phenomenon of vertical transmission, small sample sizes, and limitations inherent in cross-sectional study designs. Additionally, the review highlights the potential impact of low RAs of Bifidobacterium in HM samples on study outcomes, emphasizing the necessity of metagenomics-based sequencing techniques, and culture-based approaches.
Conclusion
This systematic review has identified the literature on vertical transmission of Bifidobacterium and their relevance on seeding the infant gut microbiome during the first months after birth. While there is considerable evidence for potential transmission of Bifidobacterium species from mothers to infants, there are only limited data to support the transmission of specific Bifidobacterium strains. The main routes studied for mother-to-child Bifidobacterium transmission identify B. longum species with the highest weight in the meta-analysis, while B. bifidum strains had the highest transmissibility rates from feces to the infant gut. However, the characterization of the B. bifidum strains, as well as their differentiation from the strains that were not transferred, including the transmission paths, remains unknown. The current metagenomic sequencing technologies which have shifted the concept of vertical transmission, allow high-throughput results hence a higher strain resolution and technological capacity to keep track of strains. Future studies applying: (1) metagenomic sequencing techniques combined or not with cultivation of bacteria; (2) more time points; and (3) different body sites will allow a greater understanding of Bifidobacterium strains transmission, persistence and pathways and their impact in infant gut microbiome development.
Data availability
All metadata extracted from the studies that had performed metagenomic sequencing and that was used as an input for the proportional meta-analysis is stored in the GitHub repository at https://github.com/EFV1995/VT_proportional_MA. All R code necessary to replicate the proportional metanalysis and to create the world map is stored in the GitHub repository at https://github.com/EFV1995/VT_proportional_MA.
Code availability
All metadata extracted from the studies that had performed metagenomic sequencing and that was used as an input for the proportional meta-analysis is stored in the GitHub repository at https://github.com/EFV1995/VT_proportional_MA. All R code necessary to replicate the proportional metanalysis and to create the world map is stored in the GitHub repository at https://github.com/EFV1995/VT_proportional_MA.
Abbreviations
- RA:
-
Relative Abundances
- HMO:
-
Human milk oligosaccharides
- HM:
-
Human milk
- PRISMA:
-
Preferred Reporting Items for Systematic reviews and Meta-Analyses
- NGS:
-
Next-generation sequencing
- PRESS:
-
Peer Review of Electronic Search Strategies
- CI:
-
Confidence Interval
- JBI:
-
Joanna Briggs Institute
- RAPD:
-
Random Amplified Polymorphic DNA
- AFLPs:
-
Amplified Fragment Length Polymorphism
- MLST:
-
Multilocus Sequence Typing
- PCR:
-
Polymerase Chain Reaction
- SNV:
-
Single Nucleotide Variant
- ANI:
-
Average Nucleotide Identity
References
Selma-Royo, M. et al. Shaping Microbiota During the First 1000 Days of Life. Adv. Exp. Med. Biol. 1125, 3–24 (2019).
Milani C., et al. The first microbial colonizers of the human gut: composition, activities, and health implications of the infant gut microbiota. Microbiol. Mol. Biol. Rev. https://doi.org/10.1128/MMBR.00036-17 (2017).
Koren, O. et al. Human oral, gut, and plaque microbiota in patients with atherosclerosis. Proc. Natl. Acad. Sci. 108, 4592–4598 (2011).
Spor, A., Koren, O. & Ley, R. Unravelling the effects of the environment and host genotype on the gut microbiome. Nat. Rev. Microbiol. 9, 279–290 (2011).
Human Microbiome Project Consortium Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 (2012).
Moya, A. & Ferrer, M. Functional redundancy-induced stability of gut microbiota subjected to disturbance. Trends Microbiol. 24, 402–413 (2016).
Goodrich, J. K. et al. Human genetics shape the gut microbiome. Cell 159, 789–799 (2014).
Houghteling, P. D. & Walker, W. A. Why is initial bacterial colonization of the intestine important to infants’ and children’s health?. J. Pediatr. Gastroenterol. Nutr. 60, 294–307 (2015).
Dogra, S. K., Doré, J. & Damak, S. Gut Microbiota Resilience: Definition, Link to Health and Strategies for Intervention. Front. Microbiol. 11, 572921 (2020).
Koren, O., Konnikova, L., Brodin, P., Mysorekar, I. U. & Collado, M. C. The maternal gut microbiome in pregnancy: implications for the developing immune system. Nat. Rev. Gastroenterol. Hepatol. 21, 35–45 (2024).
Shastry, R. P. & Rekha, P. D. Bacterial cross talk with gut microbiome and its implications: a short review. Folia Microbiol.66, 15–24 (2021).
Zheng, D., Liwinski, T. & Elinav, E. Interaction between microbiota and immunity in health and disease. Cell Res. 30, 492–506 (2020).
Feehily, C. et al. Detailed mapping of Bifidobacterium strain transmission from mother to infant via a dual culture-based and metagenomic approach. Nat. Commun. 14, 3015 (2023).
Shao, Y. et al. Stunted microbiota and opportunistic pathogen colonization in caesarean-section birth. Nature 574, 117–121 (2019).
Ferretti, P. et al. Mother-to-infant microbial transmission from different body sites shapes the developing infant gut microbiome. Cell Host Microbe 24, 133–145.e5 (2018).
Chu, D. M. et al. Maturation of the infant microbiome community structure and function across multiple body sites and in relation to mode of delivery. Nat. Med. 23, 314–326 (2017).
Bäckhed, F. et al. Dynamics and stabilization of the human gut microbiome during the first year of life. Cell Host Microbe 17, 690–703 (2015).
Asnicar F., et al. Studying vertical microbiome transmission from mothers to infants by strain-level metagenomic profiling. mSystems. https://doi.org/10.1128/mSystems.00164-16 (2017).
Yassour, M. et al. Strain-level analysis of mother-to-child bacterial transmission during the first few months of life. Cell Host Microbe 24, 146–154.e4 (2018).
Wang, S. et al. Metagenomic analysis of mother-infant gut microbiome reveals global distinct and shared microbial signatures. Gut Microbes 13, 1911571 (2021).
Wang, S. et al. Maternal vertical transmission affecting early-life microbiota development. Trends Microbiol. 28, 28–45 (2020).
Edwards, C. A. et al. A systematic review of breast milk microbiota composition and the evidence for transfer to and colonisation of the infant gut. Benef. Microbes 13, 365–381 (2022).
Tochitani, S. Vertical transmission of gut microbiota: points of action of environmental factors influencing brain development. Neurosci. Res. 168, 83–94 (2021).
Jeong, S. Factors influencing development of the infant microbiota: from prenatal period to early infancy. Clin. Exp. Pediatr. 65, 438–447 (2022).
Milani, C. et al. Exploring vertical transmission of bifidobacteria from mother to child. Appl. Environ. Microbiol. 81, 7078–7087 (2015).
Lou, Y. C. et al. Infant gut strain persistence is associated with maternal origin, phylogeny, and traits including surface adhesion and iron acquisition. Cell Rep. Med. 2, 100393 (2021).
Laursen, M. F. et al. Bifidobacterium species associated with breastfeeding produce aromatic lactic acids in the infant gut. Nat. Microbiol 6, 1367–1382 (2021).
Kumar, H. et al. The bifidogenic effect revisited—ecology and health perspectives of bifidobacterial colonization in early life. Microorganisms 8, 1855 (2020).
Bode, L. The functional biology of human milk oligosaccharides. Early Hum. Dev. 91, 619–622 (2015).
Lordan C., et al. Linking human milk oligosaccharide metabolism and early life gut microbiota: bifidobacteria and beyond. Microbiol Mol Biol Rev. e0009423 (2024).
Stokholm, J. et al. Maturation of the gut microbiome and risk of asthma in childhood. Nat. Commun. 9, 141 (2018).
Fujimura, K. E. et al. Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation. Nat. Med 22, 1187–1191 (2016).
Fukuda, S. et al. Bifidobacteria can protect from enteropathogenic infection through production of acetate. Nature 469, 543–547 (2011).
Saturio, S. et al. Role of bifidobacteria on infant health. Microorganisms 9, 2415 (2021).
Stuivenberg, G. A., Burton, J. P., Bron, P. A. & Reid, G. Why are bifidobacteria important for infants?. Microorganisms 10, 278 (2022).
Samarra A., Cabrera-Rubio R., Martínez-Costa C., Collado M. C. The role of bifidobacterium genus in modulating the neonate microbiota: implications for antibiotic resistance acquisition in early life. Gut Microbes. https://doi.org/10.1080/19490976.2024.2357176.
Mikami, K., Kimura, M. & Takahashi, H. Influence of maternal bifidobacteria on the development of gut bifidobacteria in infants. Pharmaceuticals 5, 629–642 (2012).
Makino, H. Bifidobacterial strains in the intestines of newborns originate from their mothers. Biosci. Microbiota Food Health 37, 79–85 (2018).
Valles-Colomer, M. et al. The person-to-person transmission landscape of the gut and oral microbiomes. Nature 614, 125–135 (2023).
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. https://www.bmj.com/content/372/bmj.n160 Accessed 21 Sep 2023.
McGowan, J. et al. PRESS peer review of electronic search strategies: 2015 guideline statement. J. Clin. Epidemiol. 75, 40–46 (2016).
Ouzzani, M., Hammady, H., Fedorowicz, Z. & Elmagarmid, A. Rayyan—a web and mobile app for systematic reviews. Syst. Rev. 5, 210 (2016).
Create Elegant Data Visualisations Using the Grammar of Graphics https://ggplot2.tidyverse.org/ Accessed 5 Oct 2023.
Deckmyn OS. code by RAB and ARWR version by RBE by TPM and A (2022) maps: Draw Geographical Maps.
Brownrigg O. S. code by RAB and ARWR version by R (2022) mapdata: Extra Map Databases.
Wickham H., et al. dplyr: A Grammar of Data Manipulation (2023)
R: The R Project for Statistical Computing. https://www.r-project.org/ Accessed 14 Sep 2023.
Truong, D. T., Tett, A., Pasolli, E., Huttenhower, C. & Segata, N. Microbial strain-level population structure and genetic diversity from metagenomes. Genome Res. 27, 626–638 (2017).
Luo, C. et al. ConStrains identifies microbial strains in metagenomic datasets. Nat. Biotechnol. 33, 1045–1052 (2015).
Olm, M. R. et al. InStrain enables population genomic analysis from metagenomic data and sensitive detection of shared microbial strains. Nat. Biotechnol. 39, 727–736 (2021).
Wickham, H. et al. Welcome to the Tidyverse. J. Open Source Softw. 4, 1686 (2019).
Viechtbauer W. Conducting meta-analyses in R with the metafor Package. J Stat Softw. https://doi.org/10.18637/jss.v036.i03 (2010).
Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153–160 (2019).
JBI Manual for Evidence Synthesis—JBI Global Wiki. https://jbi-global-wiki.refined.site/space/MANUAL Accessed 11 Jul 2023.
García-Mantrana, I. et al. Distinct maternal microbiota clusters are associated with diet during pregnancy: impact on neonatal microbiota and infant growth during the first 18 months of life. Gut Microbes 11, 962–978 (2020).
Sakwinska, O. et al. Does the maternal vaginal microbiota play a role in seeding the microbiota of neonatal gut and nose?. Benef. Microbes 8, 763–778 (2017).
Ding, J. et al. Effect of breastmilk microbiota and sialylated oligosaccharides on the colonization of infant gut microbial community and fecal metabolome. Metabolites 12, 1136 (2022).
Karampatsas, K. et al. Gastrointestinal, vaginal, nasopharyngeal, and breast milk microbiota profiles and breast milk metabolomic changes in Gambian infants over the first two months of lactation: a prospective cohort study. Medicines101, e31419 (2022).
Schanche, M. et al. High-resolution analyses of overlap in the microbiota between mothers and their children. Curr. Microbiol. 71, 283–290 (2015).
Dos Santos, S. J. et al. Maternal vaginal microbiome composition does not affect development of the infant gut microbiome in early life. Front. Cell Infect. Microbiol. 13, 1144254 (2023).
Cheema, A. S. et al. Exclusively breastfed infant microbiota develops over time and is associated with human milk oligosaccharide intakes. Int. J. Mol. Sci. 23, 2804 (2022).
Li, P. et al. Dynamic colonization of gut microbiota and its influencing factors among the breast-feeding infants during the first two years of life. J. Microbiol. 60, 780–794 (2022).
Tannock, G. W., Fuller, R., Smith, S. L. & Hall, M. A. Plasmid profiling of members of the family Enterobacteriaceae, lactobacilli, and bifidobacteria to study the transmission of bacteria from mother to infant. J. Clin. Microbiol. 28, 1225–1228 (1990).
Wang, K. et al. Microbial diversity and correlation between breast milk and the infant gut. Foods 12, 1740 (2023).
Wallenborn, J. T., Gunier, R. B., Pappas, D. J., Chevrier, J. & Eskenazi, B. Breastmilk, stool, and meconium: bacterial communities in South Africa. Micro. Ecol. 83, 246–251 (2022).
Williams, J. E. et al. Strong multivariate relations exist among milk, oral, and fecal microbiomes in mother-infant dyads during the first six months postpartum. J. Nutr. 149, 902–914 (2019).
Martín, R. et al. Isolation of bifidobacteria from breast milk and assessment of the bifidobacterial population by pcr-denaturing gradient gel electrophoresis and quantitative real-time PCR. Appl. Environ. Microbiol. 75, 965–969 (2009).
Department of Food Science and Nutrition, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani, Thailand, Azis L, Wichienchot S, Center of Excellence in Functional Foods and Gastronomy, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai Campus, Hat Yai, Thailand, Pinkaew S, Department of Food Science and Nutrition, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani, Thailand The correlations between gut microbiota of Muslim Thai lactating women and their dietary intake and gut microbiota of breastfed infants. Malays J Nutr. https://doi.org/10.31246/mjn-2021-0019 (2021).
Davis, E. C., Wang, M. & Donovan, S. M. Microbial interrelationships across sites of breastfeeding mothers and infants at 6 weeks postpartum. Microorganisms 10, 1155 (2022).
Li, C., Chen, J. & Li, S. C. Understanding Horizontal Gene Transfer network in human gut microbiota. Gut Pathog. 12, 33 (2020).
Ding, M. et al. The species-level composition of the fecal bifidobacterium and lactobacillus genera in indonesian children differs from that of their mothers. Microorganisms 9, 1995 (2021).
Tuzun, F., Kumral, A., Duman, N. & Ozkan, H. Breast milk jaundice: effect of bacteria present in breast milk and infant feces. J. Pediatr. Gastroenterol. Nutr. 56, 328–332 (2013).
Kulagina, E. V. et al. Molecular genetic study of species and strain variability in bifidobacteria population in intestinal microflora of breast-fed infants and their mothers. Bull. Exp. Biol. Med. 150, 61–64 (2010).
Eshaghi, M. et al. Bifidobacterium obtained from mother’s milk and their infant stool; a comparative genotyping and antibacterial analysis. Micro. Pathog. 111, 94–98 (2017).
Takahashi, H. et al. Comparative analysis of the properties of bifidobacterial isolates from fecal samples of mother–infant pairs. J. Pediatr. Gastroenterol. Nutr. 51, 653–660 (2010).
Mikami, K. et al. Influence of maternal bifidobacteria on the establishment of bifidobacteria colonizing the gut in infants. Pediatr. Res. 65, 669–674 (2009).
Makino, H. et al. Transmission of intestinal bifidobacterium longum subsp. longum strains from mother to infant, determined by multilocus sequencing typing and amplified fragment length polymorphism. Appl Environ. Microbiol.77, 6788–6793 (2011).
Mastromarino, P. et al. Correlation between lactoferrin and beneficial microbiota in breast milk and infant’s feces. BioMetals 27, 1077–1086 (2014).
Jinno, S. et al. Maternal prebiotic ingestion increased the number of fecal bifidobacteria in pregnant women but not in their neonates aged one month. Nutrients 9, 196 (2017).
Jost, T., Lacroix, C., Braegger, C. P., Rochat, F. & Chassard, C. Vertical mother-neonate transfer of maternal gut bacteria via breastfeeding: mother-neonate bacterial transfer. Environ. Microbiol 16, 2891–2904 (2014).
Murphy, K. et al. The composition of human milk and infant faecal microbiota over the first three months of life: a pilot study. Sci. Rep. 7, 40597 (2017).
Vatanen, T. et al. Transcription shifts in gut bacteria shared between mothers and their infants. Sci. Rep. 12, 1276 (2022).
Ding, M. et al. Shared and non-shared siga-coated and -uncoated bacteria in intestine of mother–infant pairs. Int J. Mol. Sci. 23, 9873 (2022).
Amenyogbe, N. et al. Bacterial and fungal gut community dynamics over the first 5 years of life in predominantly rural communities in Ghana. Front Microbiol 12, 664407 (2021).
Makino, H. et al. Mother-to-infant transmission of intestinal bifidobacterial strains has an impact on the early development of vaginally delivered infant’s microbiota. PLoS ONE 8, e78331 (2013).
Yang, B. et al. Development of gut microbiota and bifidobacterial communities of neonates in the first 6 weeks and their inheritance from mother. Gut Microbes 13, 1908100 (2021).
Qi, C. et al. Lactation-dependent vertical transmission of natural probiotics from the mother to the infant gut through breast milk. Food Funct. 13, 304–315 (2022).
Qi, C. et al. Widespread vertical transmission of secretory immunoglobulin A coated trace bacterial variants from the mother to infant gut through breastfeeding. Food Funct. 13, 11543–11554 (2022).
Martin, C., Ling, P.-R. & Blackburn, G. Review of infant feeding: key features of breast milk and infant formula. Nutrients 8, 279 (2016).
Kordy, K. et al. Contributions to human breast milk microbiome and enteromammary transfer of Bifidobacterium breve. PLoS ONE 15, e0219633 (2020).
Duranti, S. et al. Maternal inheritance of bifidobacterial communities and bifidophages in infants through vertical transmission. Microbiome 5, 66 (2017).
Wampach, L. et al. Birth mode is associated with earliest strain-conferred gut microbiome functions and immunostimulatory potential. Nat. Commun. 9, 5091 (2018).
Biagi, E. et al. The bacterial ecosystem of mother’s milk and infant’s mouth and gut. Front. Microbiol. 8, 1214 (2017).
Babakobi, M. D. et al. Effect of maternal diet and milk lipid composition on the infant gut and maternal milk microbiomes. Nutrients 12, 2539 (2020).
Yan, W., Luo, B., Zhang, X., Ni, Y. & Tian, F. Association and occurrence of bifidobacterial phylotypes between breast milk and fecal microbiomes in mother–infant dyads during the first 2 years of life. Front. Microbiol. 12, 669442 (2021).
Laursen, M. F. et al. Maternal milk microbiota and oligosaccharides contribute to the infant gut microbiota assembly. ISME Commun. 1, 21 (2021).
Manara, S. et al. Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population. Curr. Biol. 33, 1939–1950.e4 (2023).
Selma-Royo, M. et al. Birthmode and environment-dependent microbiota transmission dynamics are complemented by breastfeeding during the first year. Cell Host Microbe (In press) (2025).
Avershina, E. et al. Bifidobacterial succession and correlation networks in a large unselected cohort of mothers and their children. Appl. Environ. Microbiol. 79, 497–507 (2013).
Avershina, E. et al. Major faecal microbiota shifts in composition and diversity with age in a geographically restricted cohort of mothers and their children. FEMS Microbiol. Ecol. 87, 280–290 (2014).
Nayfach S., Rodriguez-Mueller B., Garud N., Pollard K. S. An integrated metagenomics pipeline for strain profiling reveals novel patterns of transmission and global biogeography of bacteria. https://doi.org/10.1101/031757 (2015).
Seppo, A. E. et al. Infant gut microbiome is enriched with Bifidobacterium longum ssp. infantis in Old Order Mennonites with traditional farming lifestyle. Allergy 76, 3489–3503 (2021).
Mitchell, C. M. et al. Delivery mode affects stability of early infant gut microbiota. Cell Rep. Med. 1, 100156 (2020).
Fehr, K. et al. Breastmilk feeding practices are associated with the co-occurrence of bacteria in mothers’ milk and the infant gut: the CHILD cohort study. Cell Host Microbe 28, 285–297.e4 (2020).
Cheng, Y. et al. Influence of geographical location on maternal-infant microbiota: study in two populations from Asia and Europe. Front. Cell Infect. Microbiol. 11, 663513 (2022).
Martín, V. et al. Sharing of bacterial strains between breast milk and infant feces. J. Hum. Lact. 28, 36–44 (2012).
Rodríguez, J. M. The origin of human milk bacteria: is there a bacterial entero-mammary pathway during late pregnancy and lactation?. Adv. Nutr. 5, 779–784 (2014).
Johnson, J. S. et al. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat. Commun. 10, 5029 (2019).
Vatanen, T. et al. A distinct clade of Bifidobacterium longum in the gut of Bangladeshi children thrives during weaning. Cell 185, 4280–4297.e12 (2022).
Olm, M. R. et al. Robust variation in infant gut microbiome assembly across a spectrum of lifestyles. Science 376, 1220–1223 (2022).
Alessandri, G., van Sinderen, D. & Ventura, M. The genus Bifidobacterium: from genomics to functionality of an important component of the mammalian gut microbiota. Comput. Struct. Biotechnol. J. 19, 1472–1487 (2021).
Ferrario, C. et al. Modulation of the eps-ome transcription of bifidobacteria through simulation of human intestinal environment. FEMS Microbiol. Ecol. 92, fiw056 (2016).
Florczyk, M., Cydzik-Kwiatkowska, A., Ziembinska-Buczynska, A. & Ciesielski, S. Comparison of three DNA extraction kits for assessment of bacterial diversity in activated sludge, biofilm, and anaerobic digestate. Appl. Sci. 12, 9797 (2022).
Van Rossum, T., Ferretti, P., Maistrenko, O. M. & Bork, P. Diversity within species: interpreting strains in microbiomes. Nat. Rev. Microbiol. 18, 491–506 (2020).
Segata N. (2018) On the road to strain-resolved comparative metagenomics. mSystems 3 :https://doi.org/10.1128/msystems.00190-17.
Glassman, S. I. & Martiny, J. B. H. Broadscale ecological patterns are robust to use of exact sequence variants versus operational taxonomic units. mSphere 3, e00148–18 (2018).
Wensel, C. R., Pluznick, J. L., Salzberg, S. L. & Sears, C. L. Next-generation sequencing: insights to advance clinical investigations of the microbiome. J. Clin. Investig. 132, e154944 (2022).
Sirisaengtaksin, N., O’Donoghue, E. J., Jabbari, S., Roe, A. J. & Krachler, A. M. Bacterial outer membrane vesicles provide an alternative pathway for trafficking of Escherichia coli O157 type III secreted effectors to epithelial cells. mSphere 8, e00520–23 (2023).
Acknowledgements
E.F.V. acknowledges the assistance provided by the day-to-day discussions in the M.C.C. Lab at the Institute of Agrochemistry and Food Technology (IATA), which facilitated the exploration of the complex concept of Vertical Transmission. E.F.V. thanks to a Predoctoral grant awarded by the Spanish Ministry of Science and Innovation and the European Social Fund Plus (ESF+) for the training of doctors within the framework of the State Plan for Scientific, Technical and Innovation Research 2021–2023 (ref. CEX2021-001189-S-20-1). M.E.T. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie postdoctoral grant (MicroMI, grant agreement number 898088). M.C.C. acknowledges the support by the European Research Council Starting grant (MAMI grant ref. 639226), Spanish Ministry of Science and Innovation (MAMI-Plus ref. PID2022-139475OB-I00). IATA-CSIC authors also acknowledge the Spanish government MCIN/AEI to the Center of Excellence Accreditation Severo Ochoa (CEX2021-001189-S/MCIN/AEI/10.13039/501100011033). DvS acknowledges Science Foundation Ireland (SFI) support through the Irish Government’s National Development Plan (SFI/12/RC/2273-P1 and SFI/12/RC/2273-P2). L.J.H. is supported by a Wellcome Trust Investigator Award 220876/Z/20/Z and a Biotechnology and Biological Sciences Research Council (BBSRC) Institute Strategic Programme Food, Microbiome and Health BB/X011054/1 and its constituent project BBS/E/F/000PR13631. M.V.C. acknowledges funding from the Spanish Ministry of Science and Innovation (PID2022-139328OA-I00), the Spanish Ministry of Universities (Beatriz Galindo Junior Fellowship BG22/00172), and La Caixa Incoming Junior Leader (LCF/BQ/PI24/12040001).
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E.F.V., M.C.C., and M.E.T.: conceptualization, supervision, and project administration. E.F.V., M.C.C., and M.E.T.: methodology, validation, investigation, writing—original draft preparation, and resources. E.F.V.: software, formal analysis, data curation, and visualization. E.F.V., M.E.T., M.C.C., M.V.C., N.S., L.J.H., O.K., D.S., and M.G. contributed to writing—review and editing, and read and agreed to the final version of the manuscript.
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E.F.V., M.E.T., M.G., D.V.S., L.J.H., and M.V.C. declare no financial or non-financial competing interests. O.K. serves as Editors-in-Chief of this journal and had no role in the peer-review or decision to publish this manuscript. O.K. declares no financial competing interests. N.S. serves as Associate Editor of this journal and had no role in the peer-review or decision to publish this manuscript. N.S. declares no financial competing interests. M.C.C. serves as co-editor special issue “Women and their microbes” of this journal and had no role in the peer-review or decision to publish this manuscript. M.C.C. declares no financial competing interests.
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Flores Ventura, E., Esteban-Torres, M., Gueimonde, M. et al. Mother-to-infant vertical transmission in early life: a systematic review and proportional meta-analysis of Bifidobacterium strain transmissibility. npj Biofilms Microbiomes 11, 121 (2025). https://doi.org/10.1038/s41522-025-00720-y
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DOI: https://doi.org/10.1038/s41522-025-00720-y




