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Daniel BBJ, Steiger Y, Sintsova A, Field CM, Nguyen BD, Schubert C, Cherrak Y, Sunagawa S, Hardt WD, Vorholt JA. Assessing microbiome population dynamics using wild-type isogenic standardized hybrid (WISH)-tags. Nat Microbiol 2024; 9:1103-1116. [PMID: 38503975 PMCID: PMC10994841 DOI: 10.1038/s41564-024-01634-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/09/2024] [Indexed: 03/21/2024]
Abstract
Microbiomes feature recurrent compositional structures under given environmental conditions. However, these patterns may conceal diverse underlying population dynamics that require intrastrain resolution. Here we developed a genomic tagging system, termed wild-type isogenic standardized hybrid (WISH)-tags, that can be combined with quantitative polymerase chain reaction and next-generation sequencing for microbial strain enumeration. We experimentally validated the performance of 62 tags and showed that they can be differentiated with high precision. WISH-tags were introduced into model and non-model bacterial members of the mouse and plant microbiota. Intrastrain priority effects were tested using one species of isogenic barcoded bacteria in the murine gut and the Arabidopsis phyllosphere, both with and without microbiota context. We observed colonization resistance against late-arriving strains of Salmonella Typhimurium in the mouse gut, whereas the phyllosphere accommodated Sphingomonas latecomers in a manner proportional to their presence at the late inoculation timepoint. This demonstrates that WISH-tags are a resource for deciphering population dynamics underlying microbiome assembly across biological systems.
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Affiliation(s)
| | - Yves Steiger
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Anna Sintsova
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
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McEnany J, Good BH. Predicting the First Steps of Evolution in Randomly Assembled Communities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.15.571925. [PMID: 38168431 PMCID: PMC10760118 DOI: 10.1101/2023.12.15.571925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Microbial communities can self-assemble into highly diverse states with predictable statistical properties. However, these initial states can be disrupted by rapid evolution of the resident strains. When a new mutation arises, it competes for resources with its parent strain and with the other species in the community. This interplay between ecology and evolution is difficult to capture with existing community assembly theory. Here, we introduce a mathematical framework for predicting the first steps of evolution in randomly assembled communities that compete for substitutable resources. We show how the fitness effects of new mutations and the probability that they coexist with their parent depends on the size of the community, the saturation of its niches, and the metabolic overlap between its members. We find that successful mutations are often able to coexist with their parent strains, even in saturated communities with low niche availability. At the same time, these invading mutants often cause extinctions of metabolically distant species. Our results suggest that even small amounts of evolution can produce distinct genetic signatures in natural microbial communities.
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Affiliation(s)
- John McEnany
- Biophysics Program, Stanford University, Stanford, CA 94305, USA
| | - Benjamin H. Good
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub – San Francisco, San Francisco, CA 94158, USA
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Mehlferber EC, Debray R, Conover AE, Sherman JK, Kaulbach G, Reed R, McCue KF, Ferrel JE, Khanna R, Koskella B. Phyllosphere microbial associations improve plant reproductive success. FRONTIERS IN PLANT SCIENCE 2023; 14:1273330. [PMID: 38143578 PMCID: PMC10739325 DOI: 10.3389/fpls.2023.1273330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 11/09/2023] [Indexed: 12/26/2023]
Abstract
The above-ground (phyllosphere) plant microbiome is increasingly recognized as an important component of plant health. We hypothesized that phyllosphere bacterial recruitment may be disrupted in a greenhouse setting, and that adding a bacterial amendment would therefore benefit the health and growth of host plants. Using a newly developed synthetic phyllosphere bacterial microbiome for tomato (Solanum lycopersicum), we tested this hypothesis across multiple trials by manipulating microbial inoculation of leaves and measuring subsequent plant growth and reproductive success, comparing results from plants grown in both greenhouse and field settings. We confirmed that greenhouse-grown plants have a relatively depauperate phyllosphere bacterial microbiome, which both makes them an ideal system for testing the impact of phyllosphere communities on plant health and important targets for microbial amendments as we move towards increased agricultural sustainability. We find that the addition of the synthetic microbial community early in greenhouse growth leads to an increase in fruit production in this setting, implicating the phyllosphere microbiome as a key component of plant fitness and emphasizing the role that these bacterial microbiomes likely play in the ecology and evolution of plant communities.
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Affiliation(s)
- Elijah C. Mehlferber
- Koskella Lab, University of California, Department of Integrative Biology, Berkeley, CA, United States
| | - Reena Debray
- Koskella Lab, University of California, Department of Integrative Biology, Berkeley, CA, United States
| | - Asa E. Conover
- Koskella Lab, University of California, Department of Integrative Biology, Berkeley, CA, United States
| | - Julia K. Sherman
- Koskella Lab, University of California, Department of Integrative Biology, Berkeley, CA, United States
| | - Griffin Kaulbach
- Department of Environmental Studies, Haverford College, PA, United States
| | - Robert Reed
- i-Cultiver, Inc., Manteca, CA, United States
| | - Kent F. McCue
- Crop Improvement and Genetics Research Unit, Agricultural Research Service, Western Regional Research Center, United States Department of Agriculture, Albany, CA, United States
| | - Jon E. Ferrel
- i-Cultiver, Inc., Manteca, CA, United States
- Azomite Mineral Products, Inc., Nephi, UT, United States
| | - Rajnish Khanna
- i-Cultiver, Inc., Manteca, CA, United States
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, United States
| | - Britt Koskella
- Koskella Lab, University of California, Department of Integrative Biology, Berkeley, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
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Good BH, Rosenfeld LB. Eco-evolutionary feedbacks in the human gut microbiome. Nat Commun 2023; 14:7146. [PMID: 37932275 PMCID: PMC10628149 DOI: 10.1038/s41467-023-42769-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 10/20/2023] [Indexed: 11/08/2023] Open
Abstract
Gut microbiota can evolve within their hosts on human-relevant timescales, but little is known about how these changes influence (or are influenced by) the composition of their local community. Here, by combining ecological and evolutionary analyses of a large cohort of human gut metagenomes, we show that the short-term evolution of the microbiota is linked with shifts in its ecological structure. These correlations are not simply explained by expansions of the evolving species, and often involve additional fluctuations in distantly related taxa. We show that similar feedbacks naturally emerge in simple resource competition models, even in the absence of cross-feeding or predation. These results suggest that the structure and function of host microbiota may be shaped by their local evolutionary history, which could have important implications for personalized medicine and microbiome engineering.
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Affiliation(s)
- Benjamin H Good
- Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
- Department of Biology, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, 94158, USA.
| | - Layton B Rosenfeld
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
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