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15 results for “nutrient allocation”
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>
Data from: Allocation and functional traits of trees and saplings of Bornean tree species growing under contrasting soil nutrient availabilities
<p>The files hold the data of allocation and traits of adult trees ((i) the relationship between tree height and diameter at breast height, (ii) nutrient concentration in green leaves, senescent leaves, wood, and (iii) wood density) and saplings ((i) biomass allocation to leaves, stem, coarse roots, and fine roots, (ii) nutrient concentration in levees, senescent leaves, stem, and roots, and (iii) leaf mass per area) in Bornean tropical tree species growing under contrasting soil nutrient availabilities.</p> <p>Study site includes the Tawau Hills Park (4°27′N, 117°56′E, ca. 300 m asl), the Deramakot Forest Reserve (5°22′N, 117°25′E, ca. 250 m asl), and Nabawan (5°05′N, 116°29′E, ca. 500 m asl), Sabah, Malaysia. Vegetation of Tawau and Deramakot is a mixed dipterocarp forest, whereas that of Nabawan is a tropical heath forest. These sites considerably differ in soil characteristics. The forests in the Tawau Hills Park lie on the andesitic volcanic ash derived from the past eruptions ca. 27000 years ago by Mt. Magdalena, Mt. Lucia, and Mt. Maria. On the other hand, soils in the Deramakot Forest Reserve are derived from tertiary sedimentary rocks. Soils of Nabawan are classified as white sand podosol.</p>
Herbivory and elevated levels of CO2 and nutrients separately, rather than synergistically, impacted biomass production and allocation in invasive and native plant species
<p><span>Large parts of the Earth are experiencing environmental change caused by alien plant invasions, rising atmospheric concentration of carbon dioxide (CO<sub>2</sub>), and nutrient enrichments. Elevated CO<sub>2</sub> and nutrient concentrations can separately favour growth of invasive plants over that of natives but how herbivory may modulate the magnitude and direction of net responses by the two groups of plants to simultaneous CO<sub>2</sub> and nutrient enrichments remains unknown. In line with the enemy release hypothesis, invasive plant species should reallocate metabolites from costly anti-herbivore defences into greater growth following escape from intense herbivory in the native range</span><span>. Therefore, invasive plants should have</span><span> greater growth than natives </span><span>under simultaneous CO<sub>2</sub> and nutrient enrichments in the absence of herbivory. To test this prediction, we grew nine congeneric pairs of invasive and native plant species that naturally co-occurred in grasslands in China under two levels each of nutrient enrichment (low-nutrient vs. high-nutrient), herbivory (with herbivory vs. without herbivory) and under ambient (412 ± 0.6 ppm) and elevated (790.1 ± 6.2 ppm) levels of CO<sub>2</sub> concentrations in open-top chambers in a common garden. Elevated CO<sub>2</sub> and nutrient enrichment separately increased total plant biomass, while herbivory reduced it regardless of the plant invasive status. High-nutrient treatment caused the plants to allocate a significantly lower proportion of total biomass to roots, while herbivory induced an opposite pattern. Herbivory suppressed total biomass production more strongly in native plants than invasive plants. The plants exhibited significant interspecific and intergeneric variation in their responses to the various treatment combinations. Overall, these results suggest that elevated CO2 and nutrients and herbivory may separately, rather than synergistically, impact productivity of the invasive and co-occurring native plant species in our study system. Moreover, interspecific variation in </span>resource-use strategies was more important than invasive status in determining plant responses to the various treatment combinations.</p>
Data from: Allocation and functional traits of trees and saplings of Bornean tree species growing under contrasting soil nutrient availabilities
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Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
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Herbivory and elevated levels of CO2 and nutrients separately, rather than synergistically, impacted biomass production and allocation in invasive and native plant species
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Variability in terrestrial litter decomposition can be explained by nutrient allocation strategies among soil decomposer communities
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Data from: Resilience to changes in lake trophic state: nutrient allocation into Daphnia resting eggs
<p><span><span><span><span><span><span><span><span><span><span><span>During past decades, many lakes underwent drastic human-caused changes in trophic state with strong implications for population dynamics and food web processes. We investigated the influence of trophic state on nutrient allocation into <i>Daphnia</i> resting eggs. The production of resting eggs is an important survival strategy, allowing <i>Daphnia </i>to cope with unfavorable environmental conditions. Allocation of essential nutrients into resting eggs may crucially influence embryonic development and offspring survival and thus is of great ecological and evolutionary interest. The capacity of <i>Daphnia</i> to adjust the allocation of nutrients into resting eggs may depend on the dietary nutrient supply, which may vary with trophic state-related changes in the phytoplankton community composition. Resting eggs were isolated from sediment cores taken from Lake Constance, a large pre-alpine lake with a distinct eutrophication and re-oligotrophication history, and analysed for elemental (carbon, nitrogen and phosphorus) and biochemical (sterols and fatty acids) nutrients. Carbon allocation into <i>Daphnia </i>resting eggs continuously decreased over time, irrespective of changes in trophic state. The allocation of nitrogen into <i>Daphnia</i> resting eggs followed the changes in trophic state, i.e. nitrogen concentrations in resting eggs increased with eutrophication and decreased again with re-oligotrophication. The allocation of phosphorus, sterols and long-chain polyunsaturated fatty acids (PUFA), such as eicosapentaenoic acid (EPA), into <i>Daphnia</i> resting eggs did not change significantly over time. Changes in trophic state strikingly influenced all trophic levels in Lake Constance. However, nutrient allocation into <i>Daphnia</i> resting eggs was mostly resilient to changes in lake trophic state. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Resilience to changes in lake trophic state: nutrient allocation into Daphnia resting eggs
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Data from: Experimental evolution demonstrates evolvability of preferential nutrient allocation to competing traits, in response to chronic malnutrition.
Investigating the evolutionary origins of disease vulnerability is an important aspect of evolutionary medicine that strongly complements our current understanding on proximate causes of disease. Life history trade-offs mediated through evolutionary changes in resource allocation strategies could be one possible explanation to why suboptimal traits that leave bodies vulnerable to disease exist. For example, Drosophila melanogaster populations experimentally evolved to tolerate chronic larval malnutrition succumb to intestinal infection despite eliciting a competent immune response, owing to the loss of their intestinal integrity. Here, I test if evolved changes in resource allocation underlies this trade-off, by assaying preferential allocation of dietary protein towards growth and tissue repair in the same populations. Using two phenotypic traits: regeneration of intestinal epithelium post-pathogenic infection and body weight, I show that in accordance to the dynamic energy budget theory (DEB) dietary protein acquired during the larval phase is allocated to both growth and adult tissue repair. Furthermore, by altering the ratio of protein and carbohydrates in the larval diets I demonstrate that in comparison to the control populations, the evolved (selected) populations differ in their protein allocation strategy towards these two traits. While the control populations stored away excess protein for tissue repair, the selected populations invested it towards immediate increase in body weight rather than towards an unanticipated tissue damage. Thus, I show how macronutrient availability and their allocation between traits can alter resistance, and provide empirical evidence that supports the 'mismatch hypothesis', wherein vulnerability to disease is proposed to stem from the differences between ancestral and current environment.
Data from: Experimental evolution demonstrates evolvability of preferential nutrient allocation to competing traits, in response to chronic malnutrition.
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Data from: Root:shoot ratio in developing seedlings: how seedlings change their allocation in response to seed mass and ambient nutrient supply
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Reproductive allocation in plants in terms of biomass, energy or nutrients
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Data from: Dietary antioxidants and flight exercise in female birds affect allocation of nutrients to eggs: how carry-over effects work
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Dynamic Expression of Imprinted Genes Associates with Maternally Controlled Nutrient Allocation during Maize Endosperm Development
GEO Series GSE48425. Zea mays. 12 samples. Type: Expression profiling by high throughput sequencing.
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International Brain Laboratory public data
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OpenNeuro
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