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      Successive passaging of a plant-associated microbiome reveals robust habitat and host genotype-dependent selection

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          Significance

          There is great interest in selecting for host-associated microbiomes that confer particular functions to their host, and yet it remains unknown whether selection for a robust and stable microbiome is possible. Here, we use a microbiome passaging approach to measure the impact of host-mediated selection on the tomato phyllosphere (above-ground plant surfaces) microbiome. We find robust community responses to selection across replicate lines that are shaped by plant host genotype in early passages, but are genotype-independent in later passages. Work such as ours is crucial to understanding the general principles governing microbiome assembly and adaptation and is widely applicable to both sustainable agriculture and microbiome-related medicine.

          Abstract

          There is increasing interest in the plant microbiome as it relates to both plant health and agricultural sustainability. One key unanswered question is whether we can select for a plant microbiome that is robust after colonization of target hosts. We used a successive passaging experiment to address this question by selecting upon the tomato phyllosphere microbiome. Beginning with a diverse microbial community generated from field-grown tomato plants, we inoculated replicate plants across 5 plant genotypes for 4 45-d passages, sequencing the microbial community at each passage. We observed consistent shifts in both the bacterial (16S amplicon sequencing) and fungal (internal transcribed spacer region amplicon sequencing) communities across replicate lines over time, as well as a general loss of diversity over the course of the experiment, suggesting that much of the naturally observed microbial community in the phyllosphere is likely transient or poorly adapted within the experimental setting. We found that both host genotype and environment shape microbial composition, but the relative importance of genotype declines through time. Furthermore, using a community coalescence experiment, we found that the bacterial community from the end of the experiment was robust to invasion by the starting bacterial community. These results highlight that selecting for a stable microbiome that is well adapted to a particular host environment is indeed possible, emphasizing the great potential of this approach in agriculture and beyond. In light of the consistent response of the microbiome to selection in the absence of reciprocal host evolution (coevolution) described here, future studies should address how such adaptation influences host health.

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          Most cited references35

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          Quantifying community assembly processes and identifying features that impose them.

          Spatial turnover in the composition of biological communities is governed by (ecological) Drift, Selection and Dispersal. Commonly applied statistical tools cannot quantitatively estimate these processes, nor identify abiotic features that impose these processes. For interrogation of subsurface microbial communities distributed across two geologically distinct formations of the unconfined aquifer underlying the Hanford Site in southeastern Washington State, we developed an analytical framework that advances ecological understanding in two primary ways. First, we quantitatively estimate influences of Drift, Selection and Dispersal. Second, ecological patterns are used to characterize measured and unmeasured abiotic variables that impose Selection or that result in low levels of Dispersal. We find that (i) Drift alone consistently governs ∼25% of spatial turnover in community composition; (ii) in deeper, finer-grained sediments, Selection is strong (governing ∼60% of turnover), being imposed by an unmeasured but spatially structured environmental variable; (iii) in shallower, coarser-grained sediments, Selection is weaker (governing ∼30% of turnover), being imposed by vertically and horizontally structured hydrological factors;(iv) low levels of Dispersal can govern nearly 30% of turnover and be caused primarily by spatial isolation resulting from limited exchange between finer and coarser-grain sediments; and (v) highly permeable sediments are associated with high levels of Dispersal that homogenize community composition and govern over 20% of turnover. We further show that our framework provides inferences that cannot be achieved using preexisting approaches, and suggest that their broad application will facilitate a unified understanding of microbial communities.
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            Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.

            In vertebrates, including humans, individuals harbor gut microbial communities whose species composition and relative proportions of dominant microbial groups are tremendously varied. Although external and stochastic factors clearly contribute to the individuality of the microbiota, the fundamental principles dictating how environmental factors and host genetic factors combine to shape this complex ecosystem are largely unknown and require systematic study. Here we examined factors that affect microbiota composition in a large (n = 645) mouse advanced intercross line originating from a cross between C57BL/6J and an ICR-derived outbred line (HR). Quantitative pyrosequencing of the microbiota defined a core measurable microbiota (CMM) of 64 conserved taxonomic groups that varied quantitatively across most animals in the population. Although some of this variation can be explained by litter and cohort effects, individual host genotype had a measurable contribution. Testing of the CMM abundances for cosegregation with 530 fully informative SNP markers identified 18 host quantitative trait loci (QTL) that show significant or suggestive genome-wide linkage with relative abundances of specific microbial taxa. These QTL affect microbiota composition in three ways; some loci control individual microbial species, some control groups of related taxa, and some have putative pleiotropic effects on groups of distantly related organisms. These data provide clear evidence for the importance of host genetic control in shaping individual microbiome diversity in mammals, a key step toward understanding the factors that govern the assemblages of gut microbiota associated with complex diseases.
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              rRNA operon copy number reflects ecological strategies of bacteria.

              Although natural selection appears to favor the elimination of gene redundancy in prokaryotes, multiple copies of each rRNA-encoding gene are common on bacterial chromosomes. Despite this conspicuous deviation from single-copy genes, no phenotype has been consistently associated with rRNA gene copy number. We found that the number of rRNA genes correlates with the rate at which phylogenetically diverse bacteria respond to resource availability. Soil bacteria that formed colonies rapidly upon exposure to a nutritionally complex medium contained an average of 5.5 copies of the small subunit rRNA gene, whereas bacteria that responded slowly contained an average of 1.4 copies. In soil microcosms pulsed with the herbicide 2,4-dichlorophenoxyacetic acid (2,4-D), indigenous populations of 2,4-D-degrading bacteria with multiple rRNA genes ( = 5.4) became dominant, whereas populations with fewer rRNA genes ( = 2.7) were favored in unamended controls. These findings demonstrate phenotypic effects associated with rRNA gene copy number that are indicative of ecological strategies influencing the structure of natural microbial communities.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                14 January 2020
                5 December 2019
                : 117
                : 2
                : 1148-1159
                Affiliations
                [1] aDepartment of Plant and Microbial Biology, University of California, Berkeley , CA 94720;
                [2] bBiodiversity Research Center, Academia Sinica , Taipei 11529, Taiwan;
                [3] cDepartment of Ecology and Evolutionary Biology, Princeton University , Princeton, NJ 08544;
                [4] dDepartment of Integrative Biology, University of California, Berkeley , CA 94720
                Author notes
                1To whom correspondence may be addressed. Email: morella@ 123456berkeley.edu , icelab@ 123456berkeley.edu , or bkoskella@ 123456berkeley.edu .

                Contributed by Steven Lindow, October 24, 2019 (sent for review May 20, 2019; reviewed by Brendan J. M. Bohannan, Steven W. Kembel, and Isabelle Laforest-Lapointe)

                Author contributions: N.M.M., C.J.E.M., S.L., and B.K. designed research; N.M.M. performed research; N.M.M., F.C.-H.W., P.M.J., and C.J.E.M. analyzed data; and N.M.M., F.C.-H.W., P.M.J., S.L., and B.K. wrote the paper.

                Reviewers: B.J.M.B., University of Oregon; S.W.K., Université du Québec à Montréal; and I.L.-L., Université de Sherbrooke.

                Author information
                http://orcid.org/0000-0001-8090-295X
                http://orcid.org/0000-0001-8333-6674
                http://orcid.org/0000-0003-1760-8496
                Article
                PMC6969547 PMC6969547 6969547 201908600
                10.1073/pnas.1908600116
                6969547
                31806755
                aa6aebea-da9d-428d-a8f1-9ea868507494
                Copyright @ 2020

                Published under the PNAS license.

                History
                Page count
                Pages: 12
                Funding
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: NSF DEB 1754494
                Award Recipient : Norma M Morella Award Recipient : Francis Cheng-Hsuan Weng Award Recipient : Pierre M. Joubert Award Recipient : C. Jessica E. Metcalf Award Recipient : Steven E. Lindow Award Recipient : Britt Koskella
                Categories
                Biological Sciences
                Microbiology
                From the Cover

                phyllosphere,experimental evolution,microbiome engineering,microbiome selection,microbiome assembly

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