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309 results for “Plant roots”
Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest IV - Oxic and Anoxic Methane Fluxes on Isolated Carex Plants 2015
Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains 2015 monthly methane fluxes from isolated Carex plants in a bog complex in the Bonanza Creek LTER. Isolated plant fluxes were used to partition the flux from the plant mediated pathway.
Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest V - Raw Microbial Community Analysis Data 2015
Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains 2015 results from monthly DNA analyses taken on cores from natural conditions in a bog complex in the Bonanza Creek LTER.
Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest VI - Raw Oxygen Injection Experiment Data 2015
Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains mo monthly 2015 oxygen decay rates from unmanipulated conditions as well as in plots where vascular vegetation was removed.
Data from: The effect of root-associated microbes on plant growth and chemical defence traits across two contrasted elevations,
<p>1. Ecotypic differences in plant growth and anti-herbivore defence phenotypes are determined by the complex interactions between the abiotic and the biotic environment.</p> <p>2. Root-associated microbes (RAMs) are pervasive in nature, vary over climatic gradients, and have been shown to influence the expression of multiple plant functional traits related to biomass accumulation and biotic interactions. We addressed how variation in climatic conditions between lowland and sub-alpine habitats in the Alps and RAMs can independently or interactively affect plant growth and anti-herbivore defence trait expression.</p> <p>3. To address the contribution of climate and RAMs on growth and chemical defences of high- and low-elevation Plantago major ecotypes, we performed a full-factorial reciprocal transplant field experiment at two elevations. We coupled it with plant functional trait measurements and metabolomics analyses.</p> <p>4. We found that local growing climatic conditions mostly influenced how the ecotypes grew, but we also found that the high- and low-elevation ecotypes improved biomass accumulation if in the presence of their own-elevation RAMs. Second, we found that while chemical defence expression was affected by climate, they were also more highly expressed when plants were inoculated with low elevation RAMs.</p> <p>5. Synthesis – Our research demonstrated that RAMs from contrasted elevations impact how plants grow or synthesize toxic secondary metabolites. At low elevation, where biotic interactions are stronger, RAMs enhance plant biomass accumulation and the production of toxic secondary metabolites.</p>
Independent evolutionary changes in fine-root traits among main clades during the diversification of seed plants
<p><b>Rationale</b>: Changes in fine-root morphology are typically associated with transitions from the ancestral arbuscular mycorrhizal (AM) to the alternative ectomycorrhizal (ECM) or non-mycorrhizal (NM) associations. However, the modifications in root morphology may also coincide with new modifications in leaf hydraulics and growth habit during angiosperm diversification. These hypotheses have not been evaluated concurrently, which limits our understanding of the causes of fine-root evolution.</p> <p><b>Methods</b>: To explore the evolution of fine-root systems, we assembled a 600+ species database to reconstruct historical changes in seed plants over time. We utilize ancestral reconstruction approaches together with phylogenetically informed comparative analyses to test whether changes in fine-root traits were most strongly associated with mycorrhizal affiliation, leaf hydraulics or growth form.</p> <p><b>Key Results</b>: Our findings show significant shifts in root diameter, specific root length and root tissue density as angiosperms diversified, largely independent from leaf changes or mycorrhizal affiliation. Growth form was the only factor associated with fine-root traits in statistical models including mycorrhizal association and leaf venation, suggesting substantial modifications in fine-root morphology during transitions from woody to non-woody habits.</p> <p><b>Conclusion</b>: Divergences in fine-root systems were crucial in the evolution of seed plant lineages, with important implications for ecological processes in terrestrial ecosystems.</p>
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
<p><span><span><span><span><span><span><span><span><span><span><span><b>Premise of Study</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>Plant endophytic bacterial strains can influence plant traits such as leaf area and root length. Yet, the influence of more complex bacterial communities in regulating overall plant phenotype is less explored. Here, we conducted two complementary experiments to test if we can predict plant phenotype response to changes in microbial community composition. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>In the first study, we inoculated a single genotype of <i>Populus deltoides</i>with individual root endophytic bacteria and measured plant phenotype. Next, single inoculation data were used to predict phenotypic traits in mixed three-member community inoculations, which we tested in the second experiment. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Key Results</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>When in isolation, each bacterial endophyte significantly but weakly altered plant phenotype relative to non-inoculated plants. In mixture, bacterial strain <i>Burkholderia</i>BT03, constituted at least 98% of community relative abundance. Yet, plant resource allocation and tissue nutrient concentrationswere disproportionately influenced by <i>Pseudomonas </i>sp.GM17, GM30, and GM41. We found a 10% increase in leaf mass fraction and a 11% decrease in root mass fraction when replacing<i>Pseudomonas </i>GM17 with GM41 in communities containing both <i>Pseudomonas </i>GM30 and <i>Burkholderia</i>BT03. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>Our results indicate that interactions among endophytic bacteria may drive plant phenotype over the contribution of each strain individually. Additionally, we have shown that low-abundant strains contribute to plant phenotype challenging the assumption that the dominant strains will drive plant function.</span></span></span></span></span></span></span></span></span></span></span></p>
Spatial mapping of root systems reveals diverse strategies of soil exploration and resource contest in grassland plants
<p>1. When foraging and competing for belowground resources, plants have to coordinate the behaviour of thousands of root tips in a manner similar to that of eusocial animal colonies. While well described in animals, we know little about the spatial behaviour of plants, particularly at the level of individual roots.</p> <p>2. Here, we employed statistical methods previously used to describe animal ranging behaviour to examine root system overlap and the efficiency of root positioning in eight grassland species grown in monocultures and mixtures along a gradient of neighbour densities.</p> <p>3. Species varied widely in their ability to distribute roots efficiently, with the majority of species showing significant root aggregation at very fine spatial scales. Extensive root system overlap was observed in species mixtures, indicating a lack of territoriality at the level of whole root systems. However, with increasing density of competitors, several species withdrew roots from the periphery of foraging ranges and increased intraplant root aggregation in the remaining area, which may indicate consolidation of foraging areas under competitive pressure.</p> <p>4. Several species exhibited responses consistent with resource contest in species mixtures where encounters with competitors' roots triggered increased root aggregation at the expense of foraging efficiency. Such responses only occurred in mixtures of species with comparable competitive abilities but were absent in asymmetric species combinations.</p> <p>5. Synthesis. Combining fine-scale measurement of plant root distributions with spatial statistics yields new insights into plant behavioural strategies with significant potential to impact resource foraging efficiency and productivity.</p>
Data and R code used in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment
<p>This release contains the raw data, R code, and RootPainter model supporting the results described in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment.</p>
A root-specific NLR network confers resistance to plant parasitic nematodes - genomic sequences and annotations
<p>Sequence and annotation data associated with "A root-specific NLR network confers resistance to plant parasitic nematodes"</p>
Insect root feeders incur negative density-dependent damage across plant species in an alpine meadow
<p>Although herbivores are well known to incur positive density-dependent damage and mortality, thereby likely shaping plant community assembly, the response of belowground root feeders to changes in plant density has seldom been addressed. Locally rare plant species (with lower plant biomass per area) are often smaller with shallower roots than common species (with higher plant biomass per area) in competition-intensive grasslands. Likewise, root feeders are often distributed in the upper soil layers. We hypothesized therefore that root feeders would incur a negative density (biomass) dependent damage across plant species. To test this hypothesis, we investigated the diversity and abundance of plant and root feeder species in an alpine meadow, and determined the diet of the root feeders using metabarcoding. Across all species, root feeder load decreased with increasing aboveground plant biomass, root biomass, and total plant biomass per area, indicating negative density dependence of damage across plant species. Aboveground plant biomass per area increased with increasing individual plant biomass and root depth per area across species, suggesting that rare plant species were smaller in size and had shallower root systems compared to common plant species. Both root biomass per area and root feeder biomass per area decreased with soil depth, but the root feeder biomass decreased disproportionally faster compared to root biomass with increasing root depth. Root feeder load decreased with increasing root depth, but was not correlated with the feeding preference of root feeder species. Moreover, the prediction derived from a random process incorporating vertical distributions of root biomass and root feeder biomass significantly accounted for interspecific variation in root feeder load. In conclusion, the data indicate that root feeders incur negative density-dependent damage across plant species. On this basis, we suggest that manipulative experiments should be conducted to determine the effect of the negative density-dependent damage on plant community structure, and that different types of plant-animal interactions should be concurrently examined to fully understand the effect of plant density on overall herbivore damage across plant species.</p>
Light availability and light demand of plants shape the arbuscular fungal communities in their roots
<p>Plants involved in the arbuscular mycorrhizal (AM) symbiosis trade photosynthetically derived carbon for fungal-provided soil nutrients. However, little is known about how plant light demand and ambient light conditions influence root-associating AM fungal communities.</p> <p>We conducted a manipulative field experiment to test whether plants' shade tolerance influences their root AM fungal communities in open and shaded grassland sites. We found similar light-dependent shifts shifts in AM fungal community structure for experimental bait plant roots and the surrounding soil. Yet, deviation from the sorrounding soil towards lower AM fungal beta-diversity in the roots of shade-intolerant plants in shade suggested preferential carbon allocation to specific AM fungi in conditions where plant-assimilated carbon available to fungi was limited. We conclude that favourable environmental conditions widen the plant biotic niche, as demonstrated here with optimal light availability reducing plants' selectivity for specific AM fungi, and promote compatibility with a larger number of AM fungal taxa.</p> <p>The deposited dataset contains the raw fungal sequence table for each sample and information on the characteristics of the sample (light treatment, sample type, sampling point in time etc).</p>
Mycorrhizal colonization and root diameter of native and invasive plants of eastern North America
<p>Arbuscular mycorrhizal colonization (total and arbuscules) were measured in roots of 10 species of eastern North American woody plants. Five were non-native invasive and 5 were native species. Roots were collected from ingrowth cores over three harvests during a single season, from a common garden. Diameter was estimated from published root density and specific root length values for each species.</p>
Plant-root pathogenic fungal and plant-mycorrhizal fungal association networks in a subtropical forest
<p><span>Although rhizosphere fungi are essential for plant survival and ecosystem functioning, little is known about the processes that structure plant–fungal association networks. In this study, we constructed association networks between 43 plant species and two groups of root-associated fungi (mycorrhizal and pathogenic fungi; MF and PF, respectively) in a diverse subtropical forest. We then evaluated the modularity of plant–MF and plant–PF networks and linked them to the functional traits and phylogenies of both plants and fungi. We observed strong modularity in both plant–MF and plant–PF networks. Phylogenetically related fungi tended to emerge in the same modules. MF from distinct modules associated with plants with different specific root length and specific root area in plant–MF networks. PF from distinct modules associated with plants with different dark respiration rate and light compensation point in plant–PF networks. Plant affiliation to modules was explained by both plant traits and phylogeny </span><span>(22% for plant–MF and 37% for plant–PF networks). In contrast</span><span>, fungal affiliation to modules was explained by fungal phylogeny (</span><span>16% </span><span>for plant–MF and </span><span>29% </span><span>for plant–PF networks). Our results elucidate the link between modularity in plant–root fungal networks and the functional traits and phylogeny of the plants and fungi. Our study highlights the importance of traits and phylogeny in governing root fungal community assembly from network perspective.</span></p>
Data for: Spatial structure within root systems moderates stability of Arbuscular Mycorrhizal mutualism and plant-soil feedbacks
<p>The persistence of mutualisms is paradoxical, as there are fitness incentives for exploitation. This is particularly true for plant-microbe mutualisms like arbuscular mycorrhizae (AM), which are promiscuously horizontally-transmitted. Preferential allocation by hosts to the best mutualist can stabilize horizontal mutualisms, however, preferential allocation is imperfect, with its fidelity likely depending upon the spatial structure of symbionts in plant roots. In this study, we tested AM mutualisms' dependence on two dimensions of spatial structure: the initial spatial association of fungi and the ease of fungal dispersal, through three complementary experiments. We found that fitness of the beneficial AM fungus increased when fungi were initially separate, while initial spatial mixing benefited the fitness of the non-beneficial fungus. These effects were strongest when dispersal was limited, and hosts could discriminate. Additionally, we found that changes in AM fungal proportional abundance induced by spatial structure in roots of a preferentially allocating host produced positive feedbacks on plant growth, showing that interactions between spatial structure and host choice can determine the direction of plant-soil feedbacks. Our results suggest that symbiont spatial structure within plant roots may act as an important modifier of plant preferential allocation and the dynamics of mycorrhizal mutualisms, with potentially cascading effects on plant-plant interactions.</p>
Long-term nitrogen fertilization alters arbuscular mycorrhizal fungi community phylogenetic structure in plant roots across fine spatial scales
<p><span>Purpose:</span><span> Nitrogen deposition due to human activities is known to have a substantial impact on arbuscular mycorrhizal fungi (AMF) community in plant roots. However, the influence of elevated nitrogen on the phylogenetic structure of AMF across fine spatial scales, as well as the mechanisms behind such alterations, are remained poorly understood. </span></p> <p><span>Results:</span><span> Nitrogen addition significantly increased the phylogenetic alpha diversity (diversity within a plot) and the 'within-treatment' phylogenetic beta diversity (dissimilarity among replicate plots) of AMF communities, which resulted in an increased 'within-treatment' phylogenetic gamma diversity (overall diversity among all the replicate plots within a treatment). These changes were caused by the relative abundance decline of a dominant genus (</span><span>Glomus</span><span>) and an increase in non-dominant genera. Mechanically, nitrogen addition affected phylogenetic alpha diversity mainly by influencing soil properties. Likewise, the increased 'within-treatment' dissimilarity of plant community composition and changes in soil properties caused by nitrogen addition and plot distance contributed to an increase in within-treatment phylogenetic beta diversity. </span></p> <p><span>Conclusions:</span><span> We conclude that deterministic environmental filtering (both abiotic and biotic) and dispersal limitation effect played critical roles in AMF community assembly under global change scenarios. Insightfully, this study provides a mechanistic understanding of the response of AMF to nitrogen addition across fine scales.</span></p>
Plant root growth against a mechanical obstacle: The early growth response of a maize root facing an axial resistance is consistent with the Lockhart model
<p>Plant root growth is dramatically reduced in compacted soils, affecting the growth of the whole plant. Through a model experiment coupling force and kinematics measurements, we probed the force-growth relationship of a primary root contacting a stiff resisting obstacle, that mimics the strongest soil impedance variation encountered by a growing root. The growth of maize roots just emerging from a corseting agarose gel and contacting a force sensor (acting as an obstacle) was monitored by time-lapse imaging simultaneously to the force.<br><br>The evolution of the velocity field along the root was obtained from kinematics analysis of the root texture with a PIV derived-technique. A triangular fit was introduced to retrieve the elemental elongation rate or strain rate. A parameter-free model based on the Lockhart law quantitatively predicts how the force at the obstacle modifies several features of the growth distribution (length of the growth zone, maximal elemental elongation rate, velocity) during the first 10 minutes. These results suggest a strong similarity of the early growth responses elicited either by a directional stress (contact) or by an isotropic perturbation (hyperosmotic bath).</p>
Plasmid Sequences for Brophy et al., 2022: Synthetic genetic circuits as a means of reprogramming plant roots
<p>Plasmid Sequences for Brophy et. al. 2022: Synthetic genetic circuits as a means of reprogramming plant roots</p>
Correlation between fine root traits and pathogen richness depends on plant mycorrhizal types
<p class="MsoNormal"><span><span>Root uptake strategies are associated with the strength of negative plant</span><span>–</span><span>soil feedback induced (PSF) induced by soil pathogens. Given the intensified effect of pathogen richness in fine roots on the strength of negative PSF through the synergistic effects of multiple pathogens, researchers have proposed a trade-off between nutrient acquisition and pathogen defence in roots. However, empirical evidence is lacking. In addition, because the interaction between pathogens and fine roots depends on the mycorrhizal types of tree species, both fine root traits and mycorrhizal types should be incorporated to reveal covariation in pathogen richness and the strength of negative PSF. In this study, we selected 50 arbuscular mycorrhizal (AM) tree species and 7 ectomycorrhizal (ECM) tree species in a subtropical forest to investigate the relationships between fine root traits and pathogen richness in fine roots and determined whether their relationships depended on plant mycorrhizal types. Our results showed that pathogen richness was negatively correlated with fine root diameter but was positively correlated with specific root length for the AM-associated species, while for the ECM-associated species, the pathogen richness was only found to have a significant negative relationship with the relative abundance of ECM fungi. These findings highlight the difference between AM- and ECM-associated species in pathogen defence and bridge the gap between root traits and pathogen richness, which is significant for improving our understanding of the potential factors mediating the strength of PSF and thus maintaining tree species diversity.</span></span></p>
Swarming Behavior Emerging from the Uptake–Kinetics Feedback Control in a Plant-Root-Inspired Robot
<p>This video is a supporting material of the paper "Swarming Behavior Emerging from the Uptake–Kinetics Feedback Control in a Plant-Root-Inspired Robot". The paper presents a plant root behavior-based approach to defining the control architecture of a plant-root-inspired robot, which is composed of three root-agents for nutrient uptake and one shoot-agent for nutrient redistribution. By taking inspiration and extracting key principles from the uptake of nutrient, movements and communication strategies adopted by plant roots, we developed an uptake–kinetics feedback control for the robotic roots. Exploiting the proposed control, each root is able to regulate the growth direction, towards the nutrients that are most needed, and to adjust nutrient uptake, by decreasing the absorption rate of the most plentiful one. Results from computer simulations and implementation of the proposed control on the robotic platform, Plantoid, demonstrate an emergent swarming behavior aimed at optimizing the internal equilibrium among nutrients through the self-organization of the roots. Plant wellness is improved by dynamically adjusting nutrients priorities only according to local information without the need of a centralized unit delegated for wellness monitoring and task allocation among the agents. Thus, the root-agents can ideally and autonomously grow at the best speed, exploiting nutrient distribution and improving performance, in terms of exploration capabilities and exploitation of resources, with respect to the tropism-inspired control previously proposed by the same authors.</p> <p>The supplementary video (Supplementary Video S1) shows how each agent independently moves according to their internal state and local perception, and the immediate response of the uptake–kinetics mechanism that, as soon as the missing nutrient is inserted in the environment, leads to a decreasing of the imbalance of nutrients in the whole plant.</p>
Percentage distribution of plant-fixed carbon in orchid shoots and roots, protocorms, and mycorrhizal fungal mycelium and amount (total and concentration) of carbon transferred to protocorms and mycorrhizal fungal mycelium by green orchids in each experimental microcosm
<p> The minute 'dust seeds' of some terrestrial orchids preferentially germinate and develop as mycoheterotrophic protocorms near conspecific adult plants. In this paper we tested the hypothesis that mycorrhizal mycelial connections provide a direct pathway for transfer of recent photosynthate from conspecific green orchids to achlorophyllous protocorms. Mycelial networks of <em>Ceratobasidium cornigerum </em>connecting green <em>Dactylorhiza fuchsii</em> plants with developing achlorophyllous protocorms of the same species were established on oatmeal or water agar before the shoots of green plants were exposed to <sup>14</sup>CO<sub>2</sub>. After incubation for 48 hours, the pattern of distribution of fixed carbon was visualised in intact entire autotrophic/protocorm systems using digital autoradiography and quantified in protocorms by liquid scintillation counting. The data presented here represent the percentage distribution of the <sup>14</sup>C fixed by the orchids in our experimental systems to plant shoots, roots, protocorms and the mycorrhizal mycelium. We also show the total amount of <sup>14</sup>C present in plant shoots and protocorms when grown in each of the three media tested (100% water agar, 100% oatmeal agar, and 50:50 water: oatmeal agar). We also show the amount of carbon (total and concentration) transferred from green orchids to protocorms and mycorrhizal mycelium in each microcosm across the three media treatments.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.