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Biotic Interactions Shape the Ecological Distributions of Staphylococcus Species
Open accessAbstract
Many metagenomic sequencing studies have observed the presence of closely related bacterial species or genotypes in the same microbiome. Previous attempts to explain these patterns of microdiversity have focused on the abiotic environment, but few have considered how biotic interactions could drive patterns of microbiome diversity. We dissected the patterns, processes, and mechanisms shaping the ecological distributions of three closely related Staphylococcus species in cheese rind biofilms. Paradoxically, the most abundant species (S. equorum) is the slowest colonizer and weakest competitor based on growth and competition assays in the laboratory. Through in vitro community reconstructions, we determined that biotic interactions with neighboring fungi help resolve this paradox. Species-specific stimulation of the poor competitor by fungi of the genus Scopulariopsis allows S. equorum to dominate communities in vitro as it does in situ Results of comparative genomic and transcriptomic experiments indicate that iron utilization pathways, including a homolog of the S. aureus staphyloferrin B siderophore operon pathway, are potential molecular mechanisms underlying Staphylococcus-Scopulariopsis interactions. Our integrated approach demonstrates that fungi can structure the ecological distributions of closely related bacterial species, and the data highlight the importance of bacterium-fungus interactions in attempts to design and manipulate microbiomes. IMPORTANCE: Decades of culture-based studies and more recent metagenomic studies have demonstrated that bacterial species in agriculture, medicine, industry, and nature are unevenly distributed across time and space. The ecological processes and molecular mechanisms that shape these distributions are not well understood because it is challenging to connect in situ patterns of diversity with mechanistic in vitro studies in the laboratory. Using tractable cheese rind biofilms and a focus on coagulase-negative staphylococcus (CNS) species, we demonstrate that fungi can mediate the ecological distributions of closely related bacterial species. One of the Staphylococcus species studied, S. saprophyticus, is a common cause of urinary tract infections. By identifying processes that control the abundance of undesirable CNS species, cheese producers will have more precise control on the safety and quality of their products. More generally, Staphylococcus species frequently co-occur with fungi in mammalian microbiomes, and similar bacterium-fungus interactions may structure bacterial diversity in these systems.
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![FIG 2 Ecological processes impacting the distributions of Staphylococcus (Staph) species in cheese rinds. (A) Colonization of different strains of S. equorum, S. saprophyticus, and S. xylosus on cheese curd agar. Points represent means (n = 3) ± 1 standard error. Strain (F11,24 = 115.19, P < 0.0001) and time of harvest (F3,72 = 151.09, P < 0.001) and their interaction (F33,72 = 16.187, P < 0.001) were significant based on a repeated-measures analysis of variance (ANOVA), with all S. equorum isolates having significantly lower growth than the S. saprophyticus and S. xylosus isolates based on Tukey’s honestly significant difference (HSD) test. Red asterisks next to strain names indicate the strains of each species used for the remaining experiments. (B) Pairwise competition of the three species of Staphylococcus (S. equorum [S.eq] strain BC9, S. saprophyticus [S.sap] strain BC4, and S. xylosus [S.xyl] strain BC10), with colors as defined for panel A. Bars represent means (n = 3) ± 1 standard error. Asterisks indicate significant differences in growth rates (P < 0.01) in the presence of an interspecific competitor compared to growth in the absence of an interspecific competitor (Dunnett’s test). (C) Growth of same species/strains as described for panel B over a range of pH and salt concentrations in BHI medium as measured by OD600 after 48 h. Points represent means (n = 3) ± 1 standard error. S. xylosus has a greater niche breadth (OD600 sum = 21.47 ± 0.50) than S. saprophyticus (OD600 sum = 19.187 ± 0.28) or S. equorum (OD600 sum = 19.08 ± 0.33) based on ANOVA with Tukey’s HSD test (F2,5 = 13.336, P < 0.01). (D) Relative abundances of the three species of Staphylococcus in experimental in vitro communities over 21 days. The three species were inoculated at initially identical densities and grown alone or with 5 single-species neighbors or an entire community containing all 5 neighboring species. Both biotic treatment (F6,20 = 48.268, P < 0.0001) and time of harvest (F2,40 = 29.310, P < 0.001) and their interaction (F12,40 = 12.528, P < 0.001) had significant effects on the abundance of S. equorum. Asterisks indicate significant stimulation of S. equorum compared to Staph-alone treatment based on Tukey’s HSD tests of absolute numbers of CFU. (E) Absolute abundances of the three species of Staphylococcus in the same experimental in vitro communities as described for panel D but only for molds Penicillium and Scopulariopsis. Solid lines represent the species growth in treatments without neighbors, while dashed lines represent the species growth in treatments with the fungal partner. Points represent means (n = 4) ± 1 standard error.](/paper-figures/45d34760bf4a4bafac60e12f27154253/biotic-interactions-shape-the-ecological-distributions-of-i-staphylococcus-i-figure-2.jpg)


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“fermented meat, for instance, was characterized by L. sakei (typically present during ripening, aging, and fermentation), S. equorum , and Latilactobacillus curvatus .”
From Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. (2024) · cites this paper as [58]
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The RAST Server: Rapid Annotations using Subsystems Technology
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Hibbing, M. E., Fuqua, C., Parsek, M. R., & Peterson, S. B. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2259 · Cited by 2,765
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Metadata
- Authors
- Kastman, E. K., Kamelamela, N., Norville, J. W., Cosetta, C. M., Dutton, R. J., & Wolfe, B. E.
- Affiliations
- Tufts University (US)
- University of California San Diego (US)
- Corresponding author
- Wolfe, Benjamin E.
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2016-11-02
- Volume
- 7
- Issue
- 5
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- PMC
- PMC5082897
- OpenAlex
- W2538439703
- Cited by
- 127
- References
- 88
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 14 · 2023: 18 · 2022: 4 · 2021: 15 · 2020: 13 · 2019: 14 · 2018: 18 · 2017: 9 · 2016: 1
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Update notices
- correction (2017-03-21)
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- HHS | National Institutes of Health (P50 GM068763)
- Tufts University
- UC | University of California, San Diego
- Topics
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bacterial biofilms and quorum sensing
- Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
- Keywords
- Staphylococcus, Staphylococcus equorum, Staphylococcus saprophyticus, Scopulariopsis, coagulase-negative staphylococci, ecological distribution, bacterial competition, colonization, iron utilization, siderophores, microbiota composition, urinary tract infection
- MeSH terms
- Food Microbiology, Iron, Staphylococcus, Gene Expression Profiling, Genomics, Microbial Interactions, Biota, Scopulariopsis
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