Evaluating the stoichiometric trait distributions of cultured bacterial populations and uncultured microbial communities

Manzella, Michael P.; Geiss, Roy H.; Hall, Edward K.

doi:10.1111/1462-2920.14684

Cited by 5 publications

(10 citation statements)

References 71 publications

(128 reference statements)

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“…This program allowed us to strip the background (continuum) radiation, subtract the contribution of the silica film from each spectra, and quantify the total counts within preselected ranges derived from biochemical standards (ATP, ADP and Acetyl-CoA, Manzella,Geiss and Hall 6 2019). We removed the control spectra from the spectra containing microbial parasite, and these values were multiplied by the previously established calibration constants (Manzella, Geiss and Hall 2019) that convert EDS output (counts per second, cps) to the amount of C, N, and P (fm) within each cell. Here we report molar ratios of C, N and P derived from these atomic cell quotas.…”

Section: Eds Data Processing and Analysismentioning

confidence: 99%

“…We visually identified individual spores based on morphology and then traced them with a within system drawing tool on a scanning electron microscope (JEOL JSM-6500F) equipped with an 80 mm 2 Oxford X-max EDS detector following the methods of Manzella et al (2019) (Figure 1). We used a grid holder that functions as a STEM converter (JU2002890, JEOL) to separate the TEM grid from the metal holder and avoid complications that have limited the use of SEM for biological samples in the past (Segura-Noguera, Blasco, & Fortuño, 2012).…”

Section: Eds Analyses Of Sporesmentioning

confidence: 99%

“…Here, we present a method for analyzing the biomass stoichiometry of individual microbial parasites (spores) in individual hosts using energy dispersive spectroscopy (EDS). This workflow was recently re-established to characterize the stoichiometric trait distributions of freshwater planktonic communities (Manzella, Geiss, & Hall, 2019). Here, we explain how this technique can be adapted to quantify the stoichiometric trait distributions of parasite infrapopulations in vivo .…”

Section: Introductionmentioning

confidence: 99%

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Measuring the Stoichiometry of Microbial Parasite Infrapopulations One Cell at a Time using Energy Dispersive Spectroscopy

Narr,

Binger,

Sedlacek

et al. 2024

Preprint

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Progress in the field of ecological stoichiometry has demonstrated that the outcome of ecological interactions can often be predicteda prioribased on the nutrient ratios (e.g., carbon: nitrogen: phosphorus, C:N:P) of interacting organisms. However, the challenges of accurately measuring the nutrient content of active parasites within hosts has limited our ability to rigorously apply ecological stoichiometry to host-parasite systems. Traditional nutrient analyses require high parasite biomasses, often preventing individual-level analyses. This prevents researchers from estimating variation in the nutrient content of individual parasites within a single host infrapopulation, a critical factor that could define how the ecology of the parasite affects the host-parasite interaction.Here, we explain how energy dispersive technology, a technique currently used to measure the elemental content of free-living microbes, can be adapted for parasitic microbial infrapopulations. We demonstrate the power of accurately quantifying the biomass stoichiometry of individual microbial parasites sampled directly from individual hosts.Using this approach we show that the stoichiometric composition of two microbial parasites capable of infecting the same host are stoichiometrically distinct and respond to host diet quality differently. We also demonstrate that characteristics of the stoichiometric trait distributions of these infrapopulations were important predictors of host fecundity, a proxy for virulence in this system, and better predictors of parasite load than the mean parasite stoichiometry or our parasite and diet treatments alone.EDS provides a rigorous tool for applying ecological stoichiometry to host-parasite systems and enables researchers to explore the nutritional physiology of host-parasite interactions at a scale that is more relevant to the ecology and evolution of the system than traditional nutrient analyses. Here we demonstrate that this level of resolution provides useful insights into the diet-dependent physiology of microbial parasites and their hosts. We anticipate that this improved level of resolution has the potential to elucidate a range of eco-evo interactions in host-parasite systems that were previously unobservable.

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Section: Eds Data Processing and Analysismentioning

confidence: 99%

Section: Eds Analyses Of Sporesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring the Stoichiometry of Microbial Parasite Infrapopulations One Cell at a Time using Energy Dispersive Spectroscopy

Narr,

Binger,

Sedlacek

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Here, we present a method for analyzing the biomass stoichiometry of individual microbial parasites (spores) in individual hosts using energy dispersive spectroscopy (EDS). This workflow was recently re‐established to characterize the stoichiometric trait distributions of freshwater planktonic communities (Manzella et al., 2019 ). Here, we explain how this technique can be adapted to quantify the stoichiometric trait distributions of parasite infrapopulations in vivo.…”

Section: Introductionmentioning

confidence: 99%

Evaluating host diet effects on microparasites by measuring the stoichiometry of infrapopulations one cell at a time

Narr,

Binger,

Sedlacek

et al. 2024

Ecology and Evolution

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Progress in the field of ecological stoichiometry has demonstrated that the outcome of ecological interactions can often be predicted a priori based on the nutrient ratios (e.g., carbon: nitrogen: phosphorus, C:N:P) of interacting organisms. However, the challenges of accurately measuring the nutrient content of active parasites within hosts has limited our ability to rigorously apply ecological stoichiometry to host–parasite systems. Traditional nutrient analyses require high parasite biomasses, often preventing individual‐level analyses. This prevents researchers from estimating variation in the nutrient content of individual parasites within a single host infrapopulation, a critical factor that could define how the ecology of the parasite affects the host–parasite interaction. Here, we explain how energy dispersive technology, a technique currently used to measure the elemental content of free‐living microbes, can be adapted for parasitic microbial infrapopulations. We demonstrate the power of accurately quantifying the biomass stoichiometry of individual microbial parasites sampled directly from individual hosts. Using this approach, we show that the stoichiometric composition of two microbial parasites capable of infecting the same host are stoichiometrically distinct and respond to host diet quality differently. We also demonstrate that characteristics of the stoichiometric trait distributions of these infrapopulations were important predictors of host fecundity, a proxy for virulence in this system, and better predictors of parasite load than the mean parasite stoichiometry or our parasite and diet treatments alone. EDS provides a rigorous tool for applying ecological stoichiometry to host–parasite systems and enables researchers to explore the nutritional physiology of host–parasite interactions at a scale that is more relevant to the ecology and evolution of the system than traditional nutrient analyses. Here we demonstrate that this level of resolution provides useful insights into the diet‐dependent physiology of microbial parasites and their hosts. We anticipate that this improved level of resolution has the potential to elucidate a range of eco–evo interactions in host–parasite systems that were previously unobservable.

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“…For plants, ectomycorrhizal fungi, and some bacteria, biomass chemical composition varies with life‐history traits (Donaldson et al ., 2006; Franklin et al ., 2011; Fernandez & Koide, 2014; Manzella et al ., 2019). For example, phenolics and N concentrations, respectively, are often negatively and positively correlated with growth rate (Franklin et al ., 2011; Siletti et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

Trait‐based assembly of arbuscular mycorrhizal fungal communities determines soil carbon formation and retention

Horsch

Antunes²,

Fahey³

et al. 2023

New Phytologist

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Fungi are crucial for soil organic carbon (SOC) formation, especially for the more persistent mineral-associated organic C (MAOC) pool. Yet, evidence for this often overlooks arbuscular mycorrhizal fungi (AMF) communities and how their composition and traits impact SOC accumulation.We grew sudangrass with AMF communities representing different traits conserved at the family level: competitors, from the Gigasporaceae family; ruderals, from the Glomeraceae family; or both families combined. We labeled sudangrass with 13 C-CO 2 to assess AMF contributions to SOC, impacts on SOC priming, and fungal biomass persistence in MAOC.Single-family AMF communities decreased total SOC by 13.8%, likely due to fungal priming. Despite net SOC losses, all AMF communities contributed fungal C to soil but only the Glomeraceae community initially contributed to MAOC. After a month of decomposition, both the Glomeraceae and mixed-family communities contributed to MAOC formation. Plant phosphorus uptake, but not hyphal chemistry, was positively related to AMF soil C and MAOC accumulation.Arbuscular mycorrhizal fungi contribution to MAOC is dependent on the specific traits of the AMF community and related to phosphorus uptake. These findings provide insight into how variations in AMF community composition and traits, and thus processes like environmental filtering of AMF, may impact SOC accumulation.

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Evaluating the stoichiometric trait distributions of cultured bacterial populations and uncultured microbial communities

Cited by 5 publications

References 71 publications

Measuring the Stoichiometry of Microbial Parasite Infrapopulations One Cell at a Time using Energy Dispersive Spectroscopy

Measuring the Stoichiometry of Microbial Parasite Infrapopulations One Cell at a Time using Energy Dispersive Spectroscopy

Evaluating host diet effects on microparasites by measuring the stoichiometry of infrapopulations one cell at a time

Trait‐based assembly of arbuscular mycorrhizal fungal communities determines soil carbon formation and retention

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