1
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Zou HX, Yan X, Rudolf VHW. Time-dependent interaction modification generated from plant-soil feedback. Ecol Lett 2024; 27:e14432. [PMID: 38698727 DOI: 10.1111/ele.14432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/10/2024] [Accepted: 04/18/2024] [Indexed: 05/05/2024]
Abstract
Pairwise interactions between species can be modified by other community members, leading to emergent dynamics contingent on community composition. Despite the prevalence of such higher-order interactions, little is known about how they are linked to the timing and order of species' arrival. We generate population dynamics from a mechanistic plant-soil feedback model, then apply a general theoretical framework to show that the modification of a pairwise interaction by a third plant depends on its germination phenology. These time-dependent interaction modifications emerge from concurrent changes in plant and microbe populations and are strengthened by higher overlap between plants' associated microbiomes. The interaction between this overlap and the specificity of microbiomes further determines plant coexistence. Our framework is widely applicable to mechanisms in other systems from which similar time-dependent interaction modifications can emerge, highlighting the need to integrate temporal shifts of species interactions to predict the emergent dynamics of natural communities.
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Affiliation(s)
- Heng-Xing Zou
- Program in Ecology and Evolutionary Biology, Department of BioSciences, Rice University, Houston, Texas, USA
| | - Xinyi Yan
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Volker H W Rudolf
- Program in Ecology and Evolutionary Biology, Department of BioSciences, Rice University, Houston, Texas, USA
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2
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Kandlikar GS. Quantifying soil microbial effects on plant species coexistence: A conceptual synthesis. AMERICAN JOURNAL OF BOTANY 2024:e16316. [PMID: 38659131 DOI: 10.1002/ajb2.16316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 04/26/2024]
Abstract
Soil microorganisms play a critical role in shaping the biodiversity dynamics of plant communities. These microbial effects can arise through direct mediation of plant fitness by pathogens and mutualists, and over the past two decades, numerous studies have shined a spotlight on the role of dynamic feedbacks between plants and soil microorganisms as key determinants of plant species coexistence. Such feedbacks occur when plants modify the composition of the soil community, which in turn affects plant performance. Stimulated by a theoretical model developed in the 1990s, a bulk of the empirical evidence for microbial controls over plant coexistence comes from experiments that quantify plant growth in soil communities that were previously conditioned by conspecific or heterospecific plants. These studies have revealed that soil microbes can generate strong negative to positive frequency-dependent dynamics among plants. Even as soil microbes have become recognized as a key player in determining plant coexistence outcomes, the past few years have seen a renewed interest in expanding the conceptual foundations of this field. New results include re-interpretations of key metrics from classic two-species models, extensions of plant-soil feedback theory to multispecies communities, and frameworks to integrate plant-soil feedbacks with processes like intra- and interspecific competition. Here, I review the implications of theoretical developments for interpreting existing empirical results and highlight proposed analyses and designs for future experiments that can enable a more complete understanding of microbial regulation of plant community dynamics.
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3
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Delavaux CS, Angst JK, Espinosa H, Brown M, Petticord DF, Schroeder JW, Broders K, Herre EA, Bever JD, Crowther TW. Fungal community dissimilarity predicts plant-soil feedback strength in a lowland tropical forest. Ecology 2024; 105:e4200. [PMID: 37897325 DOI: 10.1002/ecy.4200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/09/2023] [Accepted: 10/03/2023] [Indexed: 10/30/2023]
Abstract
Soil microbes impact plant community structure and diversity through plant-soil feedbacks. However, linking the relative abundance of plant pathogens and mutualists to differential plant recruitment remains challenging. Here, we tested for microbial mediation of pairwise feedback using a reciprocal transplant experiment in a lowland tropical forest in Panama paired with amplicon sequencing of soil and roots. We found evidence that plant species identity alters the microbial community, and these changes in microbial composition alter subsequent growth and survival of conspecific plants. We also found that greater community dissimilarity between species in their arbuscular mycorrhizal and nonpathogenic fungi predicted increased positive feedback. Finally, we identified specific microbial taxa across our target functional groups that differentially accumulated under conspecific settings. Collectively, these findings clarify how soil pathogens and mutualists mediate net feedback effects on plant recruitment, with implications for management and restoration.
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Affiliation(s)
- Camille S Delavaux
- Department of Environmental Systems Science, ETH, Zurich, Switzerland
- Department of Ecology and Evolutionary Biology, The University of Kansas, Lawrence, Kansas, USA
- Kansas Biological Survey, The University of Kansas, Lawrence, Kansas, USA
- Smithsonian Tropical Research Institute, Panama City, Panama
| | - Janika K Angst
- Department of Environmental Systems Science, ETH, Zurich, Switzerland
| | - Hilario Espinosa
- Smithsonian Tropical Research Institute, Panama City, Panama
- Department of Evolutionary and Environmental Biology, University of Haifa, Haifa, Israel
- Sistema Nacional de Investigación, SENACYT, Panama City, Panama
- Universidad de Panama, Facultad de Ciencias Naturales, Exactas y Tecnología, Departamento de Botánica, Panama City, Panama
- Coiba Scientific Station (Coiba AIP), Panama City, Panama
| | - Makenna Brown
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA
| | - Daniel F Petticord
- Smithsonian Tropical Research Institute, Panama City, Panama
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | | | - Kirk Broders
- Smithsonian Tropical Research Institute, Panama City, Panama
- Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, Peoria, Illinois, USA
| | - Edward A Herre
- Smithsonian Tropical Research Institute, Panama City, Panama
| | - James D Bever
- Kansas Biological Survey, The University of Kansas, Lawrence, Kansas, USA
- Smithsonian Tropical Research Institute, Panama City, Panama
| | - Thomas W Crowther
- Department of Environmental Systems Science, ETH, Zurich, Switzerland
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4
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Wood KEA, Kobe RK, Ibáñez I, McCarthy-Neumann S. Tree seedling functional traits mediate plant-soil feedback survival responses across a gradient of light availability. PLoS One 2023; 18:e0293906. [PMID: 38011125 PMCID: PMC10681222 DOI: 10.1371/journal.pone.0293906] [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: 05/10/2023] [Accepted: 10/21/2023] [Indexed: 11/29/2023] Open
Abstract
1. Though not often examined together, both plant-soil feedbacks (PSFs) and functional traits have important influences on plant community dynamics and could interact. For example, seedling functional traits could impact seedling survivorship responses to soils cultured by conspecific versus heterospecific adults. Furthermore, levels of functional traits could vary with soil culturing source. In addition, these relationships might shift with light availability, which can affect trait values, microbe abundance, and whether mycorrhizal colonization is mutualistic or parasitic to seedlings. 2. To determine the extent to which functional traits mediate PSFs via seedling survival, we conducted a field experiment. We planted seedlings of four temperate tree species across a gradient of light availability and into soil cores collected beneath conspecific (sterilized and live) and heterospecific adults. We monitored seedling survival twice per week over one growing season, and we randomly selected subsets of seedlings to measure mycorrhizal colonization and phenolics, lignin, and NSC levels at three weeks. 3. Though evidence for PSFs was limited, Acer saccharum seedlings exhibited positive PSFs (i.e., higher survival in conspecific than heterospecific soils). In addition, soil microbes had a negative effect on A. saccharum and Prunus serotina seedling survival, with reduced survival in live versus sterilized conspecific soil. In general, we found higher trait values (measured amounts of a given trait) in conspecific than heterospecific soils and higher light availability. Additionally, A. saccharum survival increased with higher levels of phenolics, which were higher in conspecific soils and high light. Quercus alba survival decreased with higher AMF colonization. 4. We demonstrate that functional trait values in seedlings as young as three weeks vary in response to soil source and light availability. Moreover, seedling survivorship was associated with trait values for two species, despite both drought and heavy rainfall during the growing season that may have obscured survivorship-trait relationships. These results suggest that seedling traits could have an important role in mediating the effects of local soil source and light levels on seedling survivorship and thus plant traits could have an important role in PSFs.
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Affiliation(s)
- Katherine E. A. Wood
- Department of Forestry, Michigan State University, East Lansing, Michigan, United States of America
- Program in Ecology, Evolution and Behavior, Michigan State University, East Lansing, Michigan, United States of America
| | - Richard K. Kobe
- Department of Forestry, Michigan State University, East Lansing, Michigan, United States of America
- Program in Ecology, Evolution and Behavior, Michigan State University, East Lansing, Michigan, United States of America
| | - Inés Ibáñez
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Sarah McCarthy-Neumann
- Department of Forestry, Michigan State University, East Lansing, Michigan, United States of America
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, Tennessee, United States of America
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5
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Grunberg RL, Halliday FW, Heckman RW, Joyner BN, O’Keeffe KR, Mitchell CE. Disease decreases variation in host community structure in an old-field grassland. PLoS One 2023; 18:e0293495. [PMID: 37889914 PMCID: PMC10610459 DOI: 10.1371/journal.pone.0293495] [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: 02/16/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Disease may drive variation in host community structure by modifying the interplay of deterministic and stochastic processes that shape communities. For instance, deterministic processes like ecological selection can benefit species less impacted by disease. When communities have higher levels of disease and disease consistently selects for certain host species, this can reduce variation in host community composition. On the other hand, when host communities are less impacted by disease and selection is weaker, stochastic processes (e.g., drift, dispersal) may play a bigger role in host community structure, which can increase variation among communities. While effects of disease on host community structure have been quantified in field experiments, few have addressed the role of disease in modulating variation in structure among host communities. To address this, we conducted a field experiment spanning three years, using a tractable system: foliar fungal pathogens in an old-field grassland community dominated by the grass Lolium arundinaceum, tall fescue. We reduced foliar fungal disease burden in replicate host communities (experimental plots in intact vegetation) in three fungicide regimens that varied in the seasonal duration of fungicide treatment and included a fungicide-free control. We measured host diversity, biomass, and variation in community structure among replicate communities. Disease reduction generally decreased plant richness and increased aboveground biomass relative to communities experiencing ambient levels of disease. These changes in richness and aboveground biomass were consistent across years despite changes in structure of the plant communities over the experiment's three years. Importantly, disease reduction amplified host community variation, suggesting that disease diminished the degree to which host communities were structured by stochastic processes. These results of experimental disease reduction both highlight the potential importance of stochastic processes in plant communities and reveal the potential for disease to regulate variation in host community structure.
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Affiliation(s)
- Rita L. Grunberg
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Fletcher W. Halliday
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Robert W. Heckman
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, United States of America
| | - Brooklynn N. Joyner
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Kayleigh R. O’Keeffe
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Charles E. Mitchell
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Environment, Ecology and Energy Program, University of North Carolina, Chapel Hill, North Carolina, United States of America
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6
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Jeger MJ, Fielder H, Beale T, Szyniszewska AM, Parnell S, Cunniffe NJ. What Can Be Learned by a Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021? PHYTOPATHOLOGY 2023; 113:1141-1158. [PMID: 36935375 DOI: 10.1094/phyto-02-23-0069-ia] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
A synoptic review of plant disease epidemics and outbreaks was made using two complementary approaches. The first approach involved reviewing scientific literature published in 2021, in which quantitative data related to new plant disease epidemics or outbreaks were obtained via surveys or similar methodologies. The second approach involved retrieving new records added in 2021 to the CABI Distribution Database, which contains over a million global geographic records of organisms from over 50,000 species. The literature review retrieved 186 articles, describing studies in 62 categories (pathogen species/species complexes) across more than 40 host species on six continents. Pathogen species with more than five articles were Bursaphelenchus xylophilus, 'Candidatus Liberibacter asiaticus', cassava mosaic viruses, citrus tristeza virus, Erwinia amylovora, Fusarium spp. complexes, F. oxysporum f. sp. cubense, Magnaporthe oryzae, maize lethal necrosis co-infecting viruses, Meloidogyne spp. complexes, Pseudomonas syringae pvs., Puccinia striiformis f. sp. tritici, Xylella fastidiosa, and Zymoseptoria tritici. Automated searches of the CABI Distribution Database identified 617 distribution records new in 2021 of 283 plant pathogens. A further manual review of these records confirmed 15 pathogens reported in new locations: apple hammerhead viroid, apple rubbery wood viruses, Aphelenchoides besseyi, Biscogniauxia mediterranea, 'Ca. Liberibacter asiaticus', citrus tristeza virus, Colletotrichum siamense, cucurbit chlorotic yellows virus, Erwinia rhapontici, Erysiphe corylacearum, F. oxysporum f. sp. cubense Tropical race 4, Globodera rostochiensis, Nothophoma quercina, potato spindle tuber viroid, and tomato brown rugose fruit virus. Of these, four pathogens had at least 25% of all records reported in 2021. We assessed two of these pathogens-tomato brown rugose fruit virus and cucurbit chlorotic yellows virus-to be actively emerging in/spreading to new locations. Although three important pathogens-'Ca. Liberibacter asiaticus', citrus tristeza virus, and F. oxysporum f. sp. cubense-were represented in the results of both our literature review and our interrogation of the CABI Distribution Database, in general, our dual approaches revealed distinct sets of plant disease outbreaks and new records, with little overlap. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
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Affiliation(s)
- Michael J Jeger
- Department of Life Sciences, Imperial College London, Ascot, U.K
| | | | | | | | - Stephen Parnell
- Warwick Crop Centre, University of Warwick, Wellesbourne Campus, Warwick, U.K
| | - Nik J Cunniffe
- Department of Plant Sciences, University of Cambridge, Cambridge, U.K
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7
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Scheuring I, Rasmussen JA, Bozzi D, Limborg MT. A strategic model of a host–microbe–microbe system reveals the importance of a joint host–microbe immune response to combat stress-induced gut dysbiosis. Front Microbiol 2022; 13:912806. [PMID: 35992720 PMCID: PMC9386248 DOI: 10.3389/fmicb.2022.912806] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/06/2022] [Indexed: 11/17/2022] Open
Abstract
Microbiomes provide key ecological functions to their host; however, most host-associated microbiomes are too complicated to allow a model of essential host–microbe–microbe interactions. The intestinal microbiota of salmonids may offer a solution since few dominating species often characterize it. Healthy fish coexist with a mutualistic Mycoplasma sp. species, while stress allows the spread of pathogenic strains, such as Aliivibrio sp. Even after a skin infection, the Mycoplasma does not recover; Aliivibrio sp. often remains the dominant species, or Mycoplasma–Aliivibrio coexistence was occasionally observed. We devised a model involving interactions among the host immune system, Mycoplasma sp. plus a toxin-producing pathogen. Our model embraces a complete microbiota community and is in harmony with experimental results that host–Mycoplasma mutualism prevents the spread of pathogens. Contrary, stress suppresses the host immune system allowing dominance of pathogens, and Mycoplasma does not recover after stress disappears.
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Affiliation(s)
- István Scheuring
- Centre for Ecological Research, Institute of Evolution, Budapest, Hungary
- MTA-ELTE, Research Group of Theoretical Biology and Evolutionary Ecology, Eötvõs University, Budapest, Hungary
| | - Jacob A. Rasmussen
- Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Davide Bozzi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Morten T. Limborg
- Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- *Correspondence: Morten T. Limborg
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8
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Eppinga MB, Van der Putten WH, Bever JD. Plant-soil feedback as a driver of spatial structure in ecosystems. Phys Life Rev 2022; 40:6-14. [DOI: 10.1016/j.plrev.2022.01.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/17/2022] [Indexed: 12/16/2022]
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9
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Kuang J, Han S, Chen Y, Bates CT, Wang P, Shu W. Root-associated fungal community reflects host spatial co-occurrence patterns in a subtropical forest. ISME COMMUNICATIONS 2021; 1:65. [PMID: 36755184 PMCID: PMC9723750 DOI: 10.1038/s43705-021-00072-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/20/2021] [Accepted: 10/26/2021] [Indexed: 11/09/2022]
Abstract
Plant roots harbor and interact with diverse fungal species. By changing these belowground fungal communities, focal plants can affect the performance of surrounding individuals and the outcome of coexistence. Although highly host related, the roles of these root-associated fungal communities per se in host plant spatial co-occurrence is largely unknown. Here, we evaluated the host dependency of root-associated communities for 39-plant species spatially mapped throughout a 50-ha subtropical forest plot with relevant environmental properties. In addition, we explored whether the differentiation in root fungal associations among plant species can reflect their observed co-occurrence patterns. We demonstrated a strong host-dependency by discriminating the differentiation of root-associated fungal communities regardless of background soil heterogeneity. Furthermore, Random Forest modeling indicated that these nonrandom root fungal associations significantly increased our ability to explain spatial co-occurrence patterns, and to a greater degree than the relative abundance, phylogenetic relatedness, and functional traits of the host plants. Our results further suggested that plants harbor more abundant shared, "generalist" pathogens are likely segregated, while hosting more abundant unique, "specialist" ectomycorrhizal fungi might be an important strategy for promoting spatial aggregation, particularly between early established trees and the heterospecific adults. Together, we provide a conceptual and testable approach to integrate this host-dependent root fungal "fingerprinting" into the plant diversity patterns. We highlight that this approach is complementary to the classic cultivation-based scheme and can deepen our understanding of the community-level effect from overall fungi and its contribution to the pairwise plant dynamics in local species-rich communities.
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Affiliation(s)
- Jialiang Kuang
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources and Conservation of Guangdong Higher Education Institutes, College of Ecology and Evolution, Sun Yat-sen University, Guangzhou, China.
| | - Shun Han
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Yongjian Chen
- Department of Environmental Science, University of Arizona, Tucson, AZ, USA
| | - Colin T Bates
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Pandeng Wang
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources and Conservation of Guangdong Higher Education Institutes, College of Ecology and Evolution, Sun Yat-sen University, Guangzhou, China
| | - Wensheng Shu
- School of Life Sciences, South China Normal University, Guangzhou, China.
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10
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Pulla S, Suresh H, Dattaraja H, Sukumar R. Plant dynamics in a tropical dry forest are strongly associated with climate and fire and weakly associated with stabilizing neighborhood effects. Oecologia 2021; 197:699-713. [PMID: 34713303 DOI: 10.1007/s00442-021-05066-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 10/18/2021] [Indexed: 11/26/2022]
Abstract
Studies comparing the relative strengths of multiple key drivers of forest dynamics are rare, but can inform both our fundamental understanding of plant communities as well as community-ecology theory. We studied the dynamics of a woody plant community in a southern Indian seasonally-dry tropical forest (SDTF) in relation to environmental factors (precipitation, temperature, fire, soil nutrients, and topography) and conspecific and heterospecific plant neighborhoods to identify which of these best predicted recruitment, survival and growth of dominant species over a 24-year study period. We also assessed the relative prevalence of density-independent and density-dependent responses in the community. Climate and fire were more important than plant neighborhoods and topographic and edaphic variables in explaining variation in plant performance. Recruitment, survival and growth were lower during periods of low precipitation and immediately following fires. Recruitment increased, and growth and survival largely decreased, with increasing temperatures. Smaller-sized individuals were disproportionately strongly affected by the vagaries of climate and fire. Conspecific negative density-dependence, a population-fluctuation stabilizing process, was relatively unimportant. Density-dependent effects decayed rapidly with distance from the focal plant (growth, survival) or quadrat (recruitment); positive density-dependence was frequently found in recruitment, possibly resulting from limited dispersal and/or facilitation. Woody plant dynamics in this SDTF appear to be responding largely to fluctuations in environmental conditions, particularly precipitation, temperature, and fire. In contrast to wetter forests, population-fluctuation stabilizing processes in this ecosystem appear to be relatively weak. Changes in climatic or fire regimes are likely to result in large compositional shifts in this SDTF.
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Affiliation(s)
- Sandeep Pulla
- Centre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India
- Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru, 560012, India
| | - Hebbalalu Suresh
- Centre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India
- Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru, 560012, India
| | - Handanakere Dattaraja
- Centre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India
| | - Raman Sukumar
- Centre for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India.
- Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru, 560012, India.
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11
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Abbott KC, Eppinga MB, Umbanhowar J, Baudena M, Bever JD. Microbiome influence on host community dynamics: Conceptual integration of microbiome feedback with classical host-microbe theory. Ecol Lett 2021; 24:2796-2811. [PMID: 34608730 PMCID: PMC9292004 DOI: 10.1111/ele.13891] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/28/2021] [Accepted: 08/31/2021] [Indexed: 01/11/2023]
Abstract
Microbiomes have profound effects on host fitness, yet we struggle to understand the implications for host ecology. Microbiome influence on host ecology has been investigated using two independent frameworks. Classical ecological theory powerfully represents mechanistic interactions predicting environmental dependence of microbiome effects on host ecology, but these models are notoriously difficult to evaluate empirically. Alternatively, host-microbiome feedback theory represents impacts of microbiome dynamics on host fitness as simple net effects that are easily amenable to experimental evaluation. The feedback framework enabled rapid progress in understanding microbiomes' impacts on plant ecology, and can also be applied to animal hosts. We conceptually integrate these two frameworks by deriving expressions for net feedback in terms of mechanistic model parameters. This generates a precise mapping between net feedback theory and classic population modelling, thereby merging mechanistic understanding with experimental tractability, a necessary step for building a predictive understanding of microbiome influence on host ecology.
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Affiliation(s)
| | - Maarten B Eppinga
- University of Zurich, Zurich, Switzerland.,Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
| | | | - Mara Baudena
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands.,National Research Council of Italy, Institute of Atmospheric Sciences, and Climate (CNR-ISAC), Torino, Italy
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12
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Ke PJ, Levine JM. The Temporal Dimension of Plant-Soil Microbe Interactions: Mechanisms Promoting Feedback between Generations. Am Nat 2021; 198:E80-E94. [DOI: 10.1086/715577] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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13
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Slate ML, McLeod ML, Callaway RM. Positive interactions between an exotic invader and moss biocrusts vary across life stage and correspond with the effect of water pulses on soil nitrogen. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13831] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Mandy L. Slate
- Division of Biological Sciences and the Institute on Ecosystems University of Montana Missoula MT USA
| | | | - Ragan M. Callaway
- Division of Biological Sciences and the Institute on Ecosystems University of Montana Missoula MT USA
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14
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Li Y, Zhang Z, Liu W, Ke M, Qu Q, Zhou Z, Lu T, Qian H. Phyllosphere bacterial assemblage is affected by plant genotypes and growth stages. Microbiol Res 2021; 248:126743. [PMID: 33713869 DOI: 10.1016/j.micres.2021.126743] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 12/16/2020] [Accepted: 03/02/2021] [Indexed: 01/18/2023]
Abstract
The interaction between plants and microorganisms directly affects plant health and sustainable agricultural development. Leaves represent a wide-area habitat populated by a variety of microorganisms, whose impact on host environmental adaptability could influence plant growth and function. The driving factors for phyllosphere microbiota assemblage are the focus of current research. Here, we investigated the effect of growth stage (i.e., bolting, flowering, and maturation) and genotype of Arabidopsis thaliana (wild-type and the two photosynthetic mutants ndf4 and pgr5) on the composition of phyllosphere microbiota. Our results show that species abundance varied significantly between the three genotypes at different growth stages, whereas species richness and evenness varied only for ndf4. The leaf surface shared a core microbiota dominated by Proteobacteria, Actinobacteria, Bacteroidetes, and Firmicutes in all tested growth stages and genotypes. Phyllosphere specificity varied more with respect to growth stage than to genotype. In summary, both the growth stage and genotype of A. thaliana are crucial in shaping phyllosphere bacterial composition, with the former being a stronger driver. Our findings provide a novel for investigating whether the host properties influence the phyllosphere community and favor healthy development of plants.
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Affiliation(s)
- Yan Li
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Zhenyan Zhang
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Wanyue Liu
- Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, PR China
| | - Mingjing Ke
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Qian Qu
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Zhigao Zhou
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Tao Lu
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Haifeng Qian
- College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, PR China.
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15
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McLeish MJ, Fraile A, García-Arenal F. Population Genomics of Plant Viruses: The Ecology and Evolution of Virus Emergence. PHYTOPATHOLOGY 2021; 111:32-39. [PMID: 33210987 DOI: 10.1094/phyto-08-20-0355-fi] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
The genomics era has revolutionized studies of adaptive evolution by monitoring large numbers of loci throughout the genomes of many individuals. Ideally, the investigation of emergence in plant viruses requires examining the population dynamics of both virus and host, their interactions with each other, with other organisms and the abiotic environment. Genetic mechanisms that affect demographic processes are now being studied with high-throughput technologies, traditional genetics methods, and new computational tools for big-data. In this review, we discuss the utility of these approaches to monitor and detect changes in virus populations within cells and individuals, and over wider areas across species and communities of ecosystems. The advent of genomics in virology has fostered a multidisciplinary approach to tackling disease risk. The ability to make sense of the information now generated in this integrated setting is by far the most substantial obstacle to the ultimate goal of plant virology to minimize the threats to food security posed by disease. To achieve this goal, it is imperative to understand and forecast how populations respond to future changes in complex natural systems.
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Affiliation(s)
- Michael J McLeish
- Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, 28223 Pozuelo de Alarcón, Madrid, Spain
| | - Aurora Fraile
- Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, 28223 Pozuelo de Alarcón, Madrid, Spain
| | - Fernando García-Arenal
- Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, 28223 Pozuelo de Alarcón, Madrid, Spain
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16
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Wandrag EM, Bates SE, Barrett LG, Catford JA, Thrall PH, van der Putten WH, Duncan RP. Phylogenetic signals and predictability in plant-soil feedbacks. THE NEW PHYTOLOGIST 2020; 228:1440-1449. [PMID: 32619298 PMCID: PMC7689780 DOI: 10.1111/nph.16768] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/12/2020] [Indexed: 05/28/2023]
Abstract
There is strong evidence for a phylogenetic signal in the degree to which species share co-evolved biotic partners and in the outcomes of biotic interactions. This implies there should be a phylogenetic signal in the outcome of feedbacks between plants and the soil microbiota they cultivate. However, attempts to identify a phylogenetic signal in plant-soil feedbacks have produced mixed results. Here we clarify how phylogenetic signals could arise in plant-soil feedbacks and use a recent compilation of data from feedback experiments to identify: whether there is a phylogenetic signal in the outcome of plant-soil feedbacks; and whether any signal arises through directional or divergent changes in feedback outcomes with evolutionary time. We find strong evidence for a divergent phylogenetic signal in feedback outcomes. Distantly related plant species show more divergent responses to each other's soil microbiota compared with closely related plant species. The pattern of divergence implies occasional co-evolutionary shifts in how plants interact with soil microbiota, with strongly contrasting feedback responses among some plant lineages. Our results highlight that it is difficult to predict feedback outcomes from phylogeny alone, other than to say that more closely related species tend to have more similar responses.
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Affiliation(s)
- Elizabeth M. Wandrag
- Institute for Applied EcologyUniversity of CanberraCanberraACT2617Australia
- School of Environmental and Rural ScienceUniversity of New EnglandArmidaleNSW2350Australia
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)PO Box 50Wageningen6700 ABthe Netherlands
| | - Sarah E. Bates
- Institute for Applied EcologyUniversity of CanberraCanberraACT2617Australia
| | | | - Jane A. Catford
- Department of GeographyKing’s College LondonLondonWC2B 4BGUK
- School of BioSciencesUniversity of MelbourneMelbourneVic.3010Australia
| | | | - Wim H. van der Putten
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)PO Box 50Wageningen6700 ABthe Netherlands
- Laboratory of NematologyWageningen UniversityPO Box 8123Wageningen6700 ESthe Netherlands
| | - Richard P. Duncan
- Institute for Applied EcologyUniversity of CanberraCanberraACT2617Australia
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17
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Collins CD, Bever JD, Hersh MH. Community context for mechanisms of disease dilution: insights from linking epidemiology and plant-soil feedback theory. Ann N Y Acad Sci 2020; 1469:65-85. [PMID: 32170775 PMCID: PMC7317922 DOI: 10.1111/nyas.14325] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 01/31/2020] [Accepted: 02/13/2020] [Indexed: 12/21/2022]
Abstract
In many natural systems, diverse host communities can reduce disease risk, though less is known about the mechanisms driving this "dilution effect." We relate feedback theory, which focuses on pathogen-mediated coexistence, to mechanisms of dilution derived from epidemiological models, with the central goal of gaining insights into host-pathogen interactions in a community context. We first compare the origin, structure, and application of epidemiological and feedback models. We then explore the mechanisms of dilution, which are grounded in single-pathogen, single-host epidemiological models, from the perspective of feedback theory. We also draw on feedback theory to examine how coinfecting pathogens, and pathogens that vary along a host specialist-generalist continuum, apply to dilution theory. By identifying synergies among the feedback and epidemiological approaches, we reveal ways in which organisms occupying different trophic levels contribute to diversity-disease relationships. Additionally, using feedbacks to distinguish dilution in disease incidence from dilution in the net effect of disease on host fitness allows us to articulate conditions under which definitions of dilution may not align. After ascribing dilution mechanisms to macro- or microorganisms, we propose ways in which each contributes to diversity-disease and productivity-diversity relationships. Our analyses lead to predictions that can guide future research efforts.
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Affiliation(s)
| | - James D. Bever
- Department of Ecology and Evolutionary BiologyUniversity of KansasLawrenceKansas
- Kansas Biological SurveyUniversity of KansasLawrenceKansas
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18
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Schroeder JW, Dobson A, Mangan SA, Petticord DF, Herre EA. Mutualist and pathogen traits interact to affect plant community structure in a spatially explicit model. Nat Commun 2020; 11:2204. [PMID: 32371877 PMCID: PMC7200732 DOI: 10.1038/s41467-020-16047-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 04/08/2020] [Indexed: 02/08/2023] Open
Abstract
Empirical studies show that plant-soil feedbacks (PSF) can generate negative density dependent (NDD) recruitment capable of maintaining plant community diversity at landscape scales. However, the observation that common plants often exhibit relatively weaker NDD than rare plants at local scales is difficult to reconcile with the maintenance of overall plant diversity. We develop a spatially explicit simulation model that tracks the community dynamics of microbial mutualists, pathogens, and their plant hosts. We find that net PSF effects vary as a function of both host abundance and key microbial traits (e.g., host affinity) in ways that are compatible with both common plants exhibiting relatively weaker local NDD, while promoting overall species diversity. The model generates a series of testable predictions linking key microbial traits and the relative abundance of host species, to the strength and scale of PSF and overall plant community diversity.
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Affiliation(s)
- John W Schroeder
- Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama.
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, USA.
| | - Andrew Dobson
- Princeton University, Princeton, NJ, USA
- Santa Fe Institute, Hyde Park Road, Santa Fe, NM, USA
| | - Scott A Mangan
- Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama
- Washington University, St. Louis, MO, USA
| | - Daniel F Petticord
- Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama
| | - Edward Allen Herre
- Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama
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