Cited by 201Gut microbiota and healthMicrobial Community Ecology and PhysiologyOral microbiology and periodontitis research

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Experimental evaluation of the importance of colonization history in early-life gut microbiota assembly

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Abstract

The factors that govern assembly of the gut microbiota are insufficiently understood. Here, we test the hypothesis that inter-individual microbiota variation can arise solely from differences in the order and timing by which the gut is colonized early in life. Experiments in which mice were inoculated in sequence either with two complex seed communities or a cocktail of four bacterial strains and a seed community revealed that colonization order influenced both the outcome of community assembly and the ecological success of individual colonizers. Historical contingency and priority effects also occurred in Rag1-/- mice, suggesting that the adaptive immune system is not a major contributor to these processes. In conclusion, this study established a measurable effect of colonization history on gut microbiota assembly in a model in which host and environmental factors were strictly controlled, illuminating a potential cause for the high levels of unexplained individuality in host-associated microbial communities.

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Figure 1. Experimental design to elucidate the importance of colonization history in ex-germ-free mice colonized with whole donor microbiomes. Two distinct cecal microbial communities (Donors A and B) that originated from wild or wild-derived Mus musculus domesticus and were standardized in laboratory mice (see Figure 1—figure supplement 1) were inoculated into germ-free C57BL/6 mice in different order, A/B (A inoculated at day 10 ± 2, and B at day 36 ± 2), B/A (B inoculated at day 10 ± 2, and A at day 36 ± 2), and AB/AB (A and B inoculated together at both days 10 ± 2 and 36 ± 2). Cecal microbiota was characterized in samples collected in the former pubs at day 78 ± 2 and parent mice at day 21 ± 1 by 16S rRNA gene sequencing. Each experiment was done in duplicate (N ≥ 6 for each replicate).
Figure 1. Experimental design to elucidate the importance of colonization history in ex-germ-free mice colonized with whole donor microbiomes. Two distinct cecal microbial communities (Donors A and B) that originated from wild or wild-derived Mus musculus domesticus and were standardized in laboratory mice (see Figure 1—figure supplement 1) were inoculated into germ-free C57BL/6 mice in different order, A/B (A inoculated at day 10 ± 2, and B at day 36 ± 2), B/A (B inoculated at day 10 ± 2, and A at day 36 ± 2), and AB/AB (A and B inoculated together at both days 10 ± 2 and 36 ± 2). Cecal microbiota was characterized in samples collected in the former pubs at day 78 ± 2 and parent mice at day 21 ± 1 by 16S rRNA gene sequencing. Each experiment was done in duplicate (N ≥ 6 for each replicate).CC BY · PubMed Central
Figure 1—figure supplement 1. Standardization of donors’ microbiota in laboratory mice. Cecal slurries from donors A and B were prepared in anaerobic conditions and gavaged into 4-week-old C57BL/6 germ-free mice (N = 8 for donor A, and N = 5 for donor B) housed in separate flexible plastic isolators. Four weeks after gavage, mice were euthanized and their ceca harvested. Cecal slurries of the recipient mice were collected under anaerobic conditions and pooled together for each donor. The cecal microbiota of Donors A and B, those of the recipient mice, and the pooled samples were characterized by 16S rRNA analysis. The pooled samples were then used in the experiments during the study and are referred to as Donors A and B. a, Alpha-diversity (Shannon, Simpson indices and number of observed bacterial types) of all samples. b, Heat-map based on Bray-Curtis dissimilarities of all samples.
Figure 1—figure supplement 1. Standardization of donors’ microbiota in laboratory mice. Cecal slurries from donors A and B were prepared in anaerobic conditions and gavaged into 4-week-old C57BL/6 germ-free mice (N = 8 for donor A, and N = 5 for donor B) housed in separate flexible plastic isolators. Four weeks after gavage, mice were euthanized and their ceca harvested. Cecal slurries of the recipient mice were collected under anaerobic conditions and pooled together for each donor. The cecal microbiota of Donors A and B, those of the recipient mice, and the pooled samples were characterized by 16S rRNA analysis. The pooled samples were then used in the experiments during the study and are referred to as Donors A and B. a, Alpha-diversity (Shannon, Simpson indices and number of observed bacterial types) of all samples. b, Heat-map based on Bray-Curtis dissimilarities of all samples.CC BY · PubMed Central
Figure 2. Cecal microbiota composition and diversity in donor and recipient mice in relation to colonization order. (A) Heatmap of bacterial types in donor communities A and B and recipient A/B, B/A, and AB/AB mice; bacterial types (rows) and individual mice (columns) were clustered with the Ward's method. (B) Number of bacterial types in and (C) Shannon diversity index of the cecal bacterial communities in donor, parent, and recipient mice. (D and E) Number of bacterial types detected in recipient mice that were unique (specific) to donor c communities A and B . Each experiment was done in duplicate, Donor A (n = 1), Donor B (n = 1), parents A (n = 4), parents B (n = 8), parents AB (n = 6), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17). In panels B-E, boxplots (ggplot in R) and results from ANOVA statistical analysis are shown (experimental groups that share the same letters are not significantly different, while those indicated with different letters are significantly different) (p<0.05). Parents AB are shown graphically as a reference but were not included in the statistical analysis.
Figure 2. Cecal microbiota composition and diversity in donor and recipient mice in relation to colonization order. (A) Heatmap of bacterial types in donor communities A and B and recipient A/B, B/A, and AB/AB mice; bacterial types (rows) and individual mice (columns) were clustered with the Ward's method. (B) Number of bacterial types in and (C) Shannon diversity index of the cecal bacterial communities in donor, parent, and recipient mice. (D and E) Number of bacterial types detected in recipient mice that were unique (specific) to donor c communities A and B . Each experiment was done in duplicate, Donor A (n = 1), Donor B (n = 1), parents A (n = 4), parents B (n = 8), parents AB (n = 6), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17). In panels B-E, boxplots (ggplot in R) and results from ANOVA statistical analysis are shown (experimental groups that share the same letters are not significantly different, while those indicated with different letters are significantly different) (p<0.05). Parents AB are shown graphically as a reference but were not included in the statistical analysis.CC BY · PubMed Central
Figure 3. Effects of colonization order and dispersal limitations on the overall composition of the cecal microbiota. (A) Non-metric multidimensional scaling (NMDS) plots based on Bray-Curtis dissimilarities of donors A and B, parents A and B, and recipient A/B, B/A, and AB/AB mice. (B) Average Bray Curtis dissimilarities between cecal bacterial communities in recipient mice with those of the donor and parent mice. (C) NMDS plots based on Bray-Curtis dissimilarities of recipient A/B, B/A, and AB/AB mice. (D) Average Bray-Curtis distances of the cecal microbiota profile of mice housed within the same cage, across cages within an isolator, and across isolators; statistical tests were performed within treatments to exclude the effect of colonization order. (E and F) NMDS plots (Bray-Curtis dissimilarity) with samples color-coded by treatment and grouped by the isolator or cages they were housed in. Each experiment was done twice, Donor A (n = 1), Donor B (n = 1), parents A (n = 4), parents B (n = 8), parents AB (n = 6), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17), isolator 02 (n = 11), isolator 03 (n = 9), isolator 04 (n = 11), isolator 09 (n = 7), isolator 10 (n = 7), isolator 12 (n = 6), cages (n = 2–5). B and D show boxplots (ggplot in R), and the data was analyzed with ANOVA; ***p<0.001, **p<0.01, *p<0.05, δp<0.1.
Figure 3. Effects of colonization order and dispersal limitations on the overall composition of the cecal microbiota. (A) Non-metric multidimensional scaling (NMDS) plots based on Bray-Curtis dissimilarities of donors A and B, parents A and B, and recipient A/B, B/A, and AB/AB mice. (B) Average Bray Curtis dissimilarities between cecal bacterial communities in recipient mice with those of the donor and parent mice. (C) NMDS plots based on Bray-Curtis dissimilarities of recipient A/B, B/A, and AB/AB mice. (D) Average Bray-Curtis distances of the cecal microbiota profile of mice housed within the same cage, across cages within an isolator, and across isolators; statistical tests were performed within treatments to exclude the effect of colonization order. (E and F) NMDS plots (Bray-Curtis dissimilarity) with samples color-coded by treatment and grouped by the isolator or cages they were housed in. Each experiment was done twice, Donor A (n = 1), Donor B (n = 1), parents A (n = 4), parents B (n = 8), parents AB (n = 6), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17), isolator 02 (n = 11), isolator 03 (n = 9), isolator 04 (n = 11), isolator 09 (n = 7), isolator 10 (n = 7), isolator 12 (n = 6), cages (n = 2–5). B and D show boxplots (ggplot in R), and the data was analyzed with ANOVA; ***p<0.001, **p<0.01, *p<0.05, δp<0.1.CC BY · PubMed Central
Figure 3—figure supplement 1. Determination of the importance of colonization history in mouse experiments using whole donor microbiomes. NMDS plot based on Jaccard dissimilarities of donors A (n = 1) and B (n = 1), parents A (n = 4) and B (n = 4), and A/B (n = 18), B/A (n = 16), and AB/AB (n = 17) mice.
Figure 3—figure supplement 1. Determination of the importance of colonization history in mouse experiments using whole donor microbiomes. NMDS plot based on Jaccard dissimilarities of donors A (n = 1) and B (n = 1), parents A (n = 4) and B (n = 4), and A/B (n = 18), B/A (n = 16), and AB/AB (n = 17) mice.CC BY · PubMed Central
Figure 3—figure supplement 2. Impact of dispersal limitation on gut microbiome composition. NMDS plot (Jaccard dissimilarity) with samples color-coded by treatment and grouped by the isolators (a) or cages (b) they were housed in. (c) Boxplots of Jaccard distances of the microbiota profile of mice housed within the same cage, across cages within an isolator, and across isolators; ANOVA tests were done within treatments to exclude the effect of colonization order. ***p<0.001, **p<0.01, *p<0.05, δp<0.1.
Figure 3—figure supplement 2. Impact of dispersal limitation on gut microbiome composition. NMDS plot (Jaccard dissimilarity) with samples color-coded by treatment and grouped by the isolators (a) or cages (b) they were housed in. (c) Boxplots of Jaccard distances of the microbiota profile of mice housed within the same cage, across cages within an isolator, and across isolators; ANOVA tests were done within treatments to exclude the effect of colonization order. ***p<0.001, **p<0.01, *p<0.05, δp<0.1.CC BY · PubMed Central
Figure 4. Bacterial types affected by colonization order and mechanisms of priority effects. (A) Examples of bacterial types with an advantage when inoculated first (Type_4996 and Type_0857), indicative of inhibitory priority effect, and when inoculated second (Type_4501), indicative of facilitation. Different letters indicate statistically significant differences between groups (values of donors A and B were not included in the statistical analysis but were plotted as a reference). (B) Associations between bacterial types affected by colonization order with phylogenetically related types in the competing community. Type_4996 and Type_4997 (7 mismatches in 16S rRNA gene tag, >97% identity), Types_4297 and Types_4999 (1 mismatch in 16S rRNA gene tag, >99% identity), Type_5446 and Type_1231 (4 mismatches in 16S rRNA gene tag, >98% identity), and Type_5450 and Type_5446 (2 mismatches in 16S rRNA gene tag, >99% identity) show negative correlations, indicative of niche pre-emption. Each experiment was done in duplicate, Donor A (n = 1), Donor B (n = 1), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17). In panel (A) and top graphs in panel (B), boxplots are generated in ggplot in R. In panel (A) results from ANOVA statistical analysis are shown (experimental groups that share the same letters above are not significantly different, while those indicated with different letters are significantly different)(p<0.05).
Figure 4. Bacterial types affected by colonization order and mechanisms of priority effects. (A) Examples of bacterial types with an advantage when inoculated first (Type_4996 and Type_0857), indicative of inhibitory priority effect, and when inoculated second (Type_4501), indicative of facilitation. Different letters indicate statistically significant differences between groups (values of donors A and B were not included in the statistical analysis but were plotted as a reference). (B) Associations between bacterial types affected by colonization order with phylogenetically related types in the competing community. Type_4996 and Type_4997 (7 mismatches in 16S rRNA gene tag, >97% identity), Types_4297 and Types_4999 (1 mismatch in 16S rRNA gene tag, >99% identity), Type_5446 and Type_1231 (4 mismatches in 16S rRNA gene tag, >98% identity), and Type_5450 and Type_5446 (2 mismatches in 16S rRNA gene tag, >99% identity) show negative correlations, indicative of niche pre-emption. Each experiment was done in duplicate, Donor A (n = 1), Donor B (n = 1), recipient mice A/B (n = 18), B/A (n = 16), AB/AB (n = 17). In panel (A) and top graphs in panel (B), boxplots are generated in ggplot in R. In panel (A) results from ANOVA statistical analysis are shown (experimental groups that share the same letters above are not significantly different, while those indicated with different letters are significantly different)(p<0.05).CC BY · PubMed Central
Figure 4—figure supplement 1. Correlations between A-specific and B-specific types in donor communities and the closest related types in the competing community, in the different groups of mice (A/B, B/A, and AB/AB). R2 values of the corresponding linear regressions are included in each plot.
Figure 4—figure supplement 1. Correlations between A-specific and B-specific types in donor communities and the closest related types in the competing community, in the different groups of mice (A/B, B/A, and AB/AB). R2 values of the corresponding linear regressions are included in each plot.CC BY · PubMed Central
Figure 5. Arrival timing of specific colonists impact their own colonization success and the trajectory of cecal microbiota assembly. (A) Experimental design. Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T, were inoculated into mice at days 5 (n = 10), 14 (n = 22) and 36 ± 2 (n = 11) after birth, while a cecal microbial community (derived from C3H/HeN mice) was introduced at day 10 ± 1. Fecal samples were collected pre-treatment on the day of inoculation of the strain cocktail and weekly throughout 5 weeks post-inoculation. At day 78 ± 2 mice were euthanized and their ceca harvested for taxonomic characterization with MiSeq (Illumina) technology. (B) Cell numbers of the specific colonizers (determined by strain-specific qPCR) in fecal samples collected throughout a 5-week period following inoculation. (C) Abundance of bacterial types closest related to the specific colonizers in the donor cecal community based on 16S rRNA gene tag data. Type_3983 had 2 mismatches to C. cocleatum 29902T, while Type_3050 was identical to L. reuteri Lpuph1. The closest match to B. vulgatus RJ2H1 was Type_0558 and had 8 mismatches, while the closest bacterial type to L. johnsonii DPPM was Type_2116 with 15 mismatches. (D) Number of bacterial types and Shannon diversity index of the cecal microbiota in mice inoculated with the specific colonizers at days 5, 14 and 36 at age 78 days. E, NMDS plot (based on Bray-Curtis dissimilarity) showing cecal bacterial community at age 78 days in mice that received the four specific colonists at 5, 14, and 36 days of age. In panel (B) mean ±standard derivation of two replicates per experiment, and data were analyzed by ANOVA with interaction of time and treatment evaluated; different letters across time points or experimental groups represent significantly different values (p<0.05). In panels (C and D) boxplots are shown (ggplot in R). In panel D, ANOVA analysis was performed; results with no significant differences across treatments detected.
Figure 5. Arrival timing of specific colonists impact their own colonization success and the trajectory of cecal microbiota assembly. (A) Experimental design. Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T, were inoculated into mice at days 5 (n = 10), 14 (n = 22) and 36 ± 2 (n = 11) after birth, while a cecal microbial community (derived from C3H/HeN mice) was introduced at day 10 ± 1. Fecal samples were collected pre-treatment on the day of inoculation of the strain cocktail and weekly throughout 5 weeks post-inoculation. At day 78 ± 2 mice were euthanized and their ceca harvested for taxonomic characterization with MiSeq (Illumina) technology. (B) Cell numbers of the specific colonizers (determined by strain-specific qPCR) in fecal samples collected throughout a 5-week period following inoculation. (C) Abundance of bacterial types closest related to the specific colonizers in the donor cecal community based on 16S rRNA gene tag data. Type_3983 had 2 mismatches to C. cocleatum 29902T, while Type_3050 was identical to L. reuteri Lpuph1. The closest match to B. vulgatus RJ2H1 was Type_0558 and had 8 mismatches, while the closest bacterial type to L. johnsonii DPPM was Type_2116 with 15 mismatches. (D) Number of bacterial types and Shannon diversity index of the cecal microbiota in mice inoculated with the specific colonizers at days 5, 14 and 36 at age 78 days. E, NMDS plot (based on Bray-Curtis dissimilarity) showing cecal bacterial community at age 78 days in mice that received the four specific colonists at 5, 14, and 36 days of age. In panel (B) mean ±standard derivation of two replicates per experiment, and data were analyzed by ANOVA with interaction of time and treatment evaluated; different letters across time points or experimental groups represent significantly different values (p<0.05). In panels (C and D) boxplots are shown (ggplot in R). In panel D, ANOVA analysis was performed; results with no significant differences across treatments detected.CC BY · PubMed Central
Figure 6. Determination of the role of colonization history in Rag1-/- mice. (A) Boxplots showing the number of bacterial types in the donor A and B communities (shown are the donor mice; n = 1 each), the parents inoculated with A (n = 4) or B (n = 3), and recipient mice colonized with the donor communities in different order (A/B; n = 15), B/A; n = 17), and AB/AB; n = 14). (B) Boxplots of bacterial types in WT versus Rag1-/- mice. (C) NMDS plots based on Bray-Curtis dissimilarities of cecal microbiota of all experimental groups in WT (blue) and Rag1-/-(red) mice (n = 51, and n = 46, respectively). (D) NMDS plot based on Bray-Curtis dissimilarities in recipient WT (filled symbols) and Rag1-/-(open symbols) mice that received treatments A/B (n = 18 WT; n = 15 Rag1-/-), B/A (n = 16 WT; n = 17 Rag1-/-), and AB/AB (n = 17 WT; n = 14 Rag1-/-) together with donors A (n = 1) and B (n = 1) and parents A (n = 4 WT; n = 4 Rag1-/-) and B (n = 8 WT; n = 3 Rag1-/-). (E) Average Bray Curtis dissimilarities between cecal bacterial communities in recipient Rag1-/- mice with those of the donor and parent mice. (F), NMDS plots based on Bray-Curtis dissimilarities of cecal in Rag1-/- mice that received the A/B (n = 15), B/A (n = 17), and AB/AB (n = 14) treatments. (G) Absolute cell numbers of Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T in fecal samples of Rag1-/- mice when inoculated into mice at days 5 (n = 16), 14 (n = 15) and 36 (n = 14)±2 days after birth, while a complex microbiota was established at day 10. (H), NMDS plot based on Bray-Curtis dissimilarity showing cecal bacterial community at 78 ± 2 days in Rag1-/- mice that received the four specific colonists at 5 (n = 16), 14 (n = 15) and 36 (n = 14)±2 days after birth. In panels (A and B), statistical analyses were done with ANOVA. In panel G, mean ±standard derivation of two replicates per experiment are shown, and data was analyzed by ANOVA with interaction of time and treatment. In panels (A and G), different letters across time points or experimental groups represent significantly different values (p<0.05). ***p<0.001, **p<0.01, *p<0.05, δ p<0.1.
Figure 6. Determination of the role of colonization history in Rag1-/- mice. (A) Boxplots showing the number of bacterial types in the donor A and B communities (shown are the donor mice; n = 1 each), the parents inoculated with A (n = 4) or B (n = 3), and recipient mice colonized with the donor communities in different order (A/B; n = 15), B/A; n = 17), and AB/AB; n = 14). (B) Boxplots of bacterial types in WT versus Rag1-/- mice. (C) NMDS plots based on Bray-Curtis dissimilarities of cecal microbiota of all experimental groups in WT (blue) and Rag1-/-(red) mice (n = 51, and n = 46, respectively). (D) NMDS plot based on Bray-Curtis dissimilarities in recipient WT (filled symbols) and Rag1-/-(open symbols) mice that received treatments A/B (n = 18 WT; n = 15 Rag1-/-), B/A (n = 16 WT; n = 17 Rag1-/-), and AB/AB (n = 17 WT; n = 14 Rag1-/-) together with donors A (n = 1) and B (n = 1) and parents A (n = 4 WT; n = 4 Rag1-/-) and B (n = 8 WT; n = 3 Rag1-/-). (E) Average Bray Curtis dissimilarities between cecal bacterial communities in recipient Rag1-/- mice with those of the donor and parent mice. (F), NMDS plots based on Bray-Curtis dissimilarities of cecal in Rag1-/- mice that received the A/B (n = 15), B/A (n = 17), and AB/AB (n = 14) treatments. (G) Absolute cell numbers of Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T in fecal samples of Rag1-/- mice when inoculated into mice at days 5 (n = 16), 14 (n = 15) and 36 (n = 14)±2 days after birth, while a complex microbiota was established at day 10. (H), NMDS plot based on Bray-Curtis dissimilarity showing cecal bacterial community at 78 ± 2 days in Rag1-/- mice that received the four specific colonists at 5 (n = 16), 14 (n = 15) and 36 (n = 14)±2 days after birth. In panels (A and B), statistical analyses were done with ANOVA. In panel G, mean ±standard derivation of two replicates per experiment are shown, and data was analyzed by ANOVA with interaction of time and treatment. In panels (A and G), different letters across time points or experimental groups represent significantly different values (p<0.05). ***p<0.001, **p<0.01, *p<0.05, δ p<0.1.CC BY · PubMed Central
Figure 6—figure supplement 1. Comparison of fecal cell numbers of specific colonists in WT and Rag1-/- mice in relation to arrival timing. Absolute abundances of Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T in fecal samples of WT and Rag1-/- mice when inoculated into mice at day 5 (n = 10 WT; n = 16 Rag1-/-), day 14 (n = 22 WT; n = 15 Rag1-/-), and day 36±2 (n = 11 WT; n = 14 Rag1-/-) after birth. Mice received complex microbiota at day 10. Mean ± standard derivation of two replicates per experiment are shown.
Figure 6—figure supplement 1. Comparison of fecal cell numbers of specific colonists in WT and Rag1-/- mice in relation to arrival timing. Absolute abundances of Lactobacillus reuteri Lpuph1, Lactobacillus johnsonii DPPM, Bacteroides vulgatus RJ2H1, and Clostridium cocleatum 29902T in fecal samples of WT and Rag1-/- mice when inoculated into mice at day 5 (n = 10 WT; n = 16 Rag1-/-), day 14 (n = 22 WT; n = 15 Rag1-/-), and day 36±2 (n = 11 WT; n = 14 Rag1-/-) after birth. Mice received complex microbiota at day 10. Mean ± standard derivation of two replicates per experiment are shown.CC BY · PubMed Central

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Authors
Martínez, I., Maldonado-Gomez, M. X., Gomes-Neto, J. C., Kittana, H., Ding, H., Schmaltz, R., Joglekar, P., Cardona, R. J., Marsteller, N. L., Kembel, S. W., Benson, A. K., Peterson, D. A., Ramer-Tait, A. E., & Walter, J.
Affiliations
  • University of Nebraska–Lincoln (US)
  • Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, United States
  • Johns Hopkins University (US)
  • Université du Québec à Montréal (CA)
Corresponding author
Walter, Jens
Venue
eLife
Published
2018-09-18
Volume
7
ISSN
2050-084X (ISSN-L)
OpenAlex
W2890655424
Cited by
199
References
91
Citations by year
2026: 13 · 2025: 25 · 2024: 29 · 2023: 24 · 2022: 30 · 2021: 27 · 2020: 29 · 2019: 21 · 2018: 1
FWCI
6.94
Type
journal article
Language
en
Open access
Locations
  • eLife (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Lincoln (University of Nebraska) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (5R01GM099525-02)
  • National Institute of General Medical Sciences (1P20GM104320)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
colonization history, priority effects, historical contingency, microbial community assembly, Rag1-deficient mice, adaptive immunity, microbial inoculation, host-associated microbiome
MeSH terms
Gastrointestinal Microbiome, Animals, Bacteria, Cecum, Mice, Inbred C57BL, Time Factors, Colony Count, Microbial, Homeodomain Proteins, Models, Animal, Biodiversity, Adaptive Immunity

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