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Biomedical subjects

Mihai Aldea

Publications and source records attributed to Mihai Aldea.

4 recordsLinked to original sources

A method for quantitative analysis of spatially variable physiological processes across leaf surfaces.

Many physiological processes are spatially variable across leaf surfaces. While maps of photosynthesis, stomatal conductance, gene expression, water transport, and the production of reactive oxygen species (ROS) for individual leaves are readily obtained, analytical methods for quantifying spatial heterogeneity and combining information gathered from the same leaf but with different instruments are not widely used. We present a novel application of tools from the field of geographical imaging to the multivariate analysis of physiological images. Procedures for registration and resampling, cluster analysis, and classification provide a general framework for the analysis of spatially resolved physiological data. Two experiments were conducted to illustrate the utility of this approach. Quantitative analysis of images of chlorophyll fluorescence and the production of ROS following simultaneous exposure of soybean leaves to atmospheric O3 and soybean mosaic virus revealed that areas of the leaf where the operating quantum efficiency of PSII was depressed also experienced an accumulation of ROS. This correlation suggests a causal relationship between oxidative stress and inhibition of photosynthesis. Overlaying maps of leaf surface temperature and chlorophyll fluorescence following a photoinhibition treatment indicated that areas with low operating quantum efficiency of PSII also experienced reduced stomatal conductance (high temperature). While each of these experiments explored the covariance of two processes by overlaying independent images gathered with different instruments, the same procedures can be used to analyze the covariance of information from multiple images. The application of tools from geographic image analysis to physiological processes occurring over small spatial scales will help reveal the mechanisms generating spatial variation across leaves.

Algorithms↗

Comparison of photosynthetic damage from arthropod herbivory and pathogen infection in understory hardwood saplings.

Arthropods and pathogens damage leaves in natural ecosystems and may reduce photosynthesis at some distance away from directly injured tissue. We quantified the indirect effects of naturally occurring biotic damage on leaf-level photosystem II operating efficiency (Phi(PSII)) of 11 understory hardwood tree species using chlorophyll fluorescence and thermal imaging. Maps of fluorescence parameters and leaf temperature were stacked for each leaf and analyzed using a multivariate method adapted from the field of quantitative remote sensing. Two tree species, Quercus velutina and Cercis canadensis, grew in plots exposed to ambient and elevated atmospheric CO(2) and were infected with Phyllosticta fungus, providing a limited opportunity to examine the potential interaction of this element of global change and biotic damage on photosynthesis. Areas surrounding damage had depressed Phi(PSII )and increased down-regulation of PSII, and there was no evidence of compensation in the remaining tissue. The depression of Phi(PSII) caused by fungal infections and galls extended >2.5 times further from the visible damage and was approximately 40% more depressed than chewing damage. Areas of depressed Phi(PSII) around fungal infections on oaks growing in elevated CO(2) were more than 5 times larger than those grown in ambient conditions, suggesting that this element of global change may influence the indirect effects of biotic damage on photosynthesis. For a single Q. velutina sapling, the area of reduced Phi(PSII) was equal to the total area directly damaged by insects and fungi. Thus, estimates based only on the direct effect of biotic agents may greatly underestimate their actual impact on photosynthesis.

Animals↗

Expression profiling soybean response to Pseudomonas syringae reveals new defense-related genes and rapid HR-specific downregulation of photosynthesis.

Transcript profiling during susceptible (S) and hypersensitive response-associated resistance (R) interactions was determined in soybean (Glycine max). Pseudomonas syringae pv. glycinea carrying or lacking the avirulence gene avrB, was infiltrated into cultivar Williams 82. Leaf RNA was sampled at 2, 8, and 24 h postinoculation (hpi). Significant changes in transcript abundance were observed for 3,897 genes during the experiment at P < or = 0.000005. Many of the genes showed a similar direction of increase or decrease in abundance in both the S and R responses, but the R response generally showed a significantly greater degree of differential expression. More than 25% of these responsive genes had not been previously reported as being associated with pathogen interactions, as 704 had no functional annotation and 378 had no homolog in National Center for Biotechnology Information databases. The highest number of transcriptional changes was noted at 8 hpi, including the downregulation of 94 chloroplast-associated genes specific to the R response. Photosynthetic measurements were consistent with an R-specific reduction in photosystem II operating efficiency (phiPSII) that was apparent at 8 hpi for the R response with little effect in the S or control treatments. Imaging analyses suggest that the decreased phiPSII was a result of physical damage to PSII reaction centers.

Analysis of Variance↗

Insect herbivory in an intact forest understory under experimental CO2 enrichment.

Human-induced increases in atmospheric CO(2) concentration have the potential to alter the chemical composition of plant tissue, and thereby affect the amount of tissue consumed by herbivorous arthropods. At the Duke Forest free-air concentration enrichment (FACE) facility in North Carolina (FACTS-1 research facility), we measured the amount of leaf tissue damaged by insects and other herbivorous arthropods during two growing seasons in a deciduous forest understory continuously exposed to ambient (360 microl l(-1)) and elevated (approximately 560 microl l(-1)) CO(2) conditions. In 1999, there was a significant interaction between CO(2) and species such that winged elm ( Ulmus alata) showed lower herbivory in elevated CO(2) plots, whereas red maple (Acer rubra) and sweetgum (Liquidambar styraciflua) did not. In 2000, our results did not achieve statistical significance but the magnitude of the result was consistent with the 1999 results. In 1999 and 2000, we found a decline (10-46%) in community-level herbivory in elevated CO(2) plots driven primarily by reductions in herbivory on elm. The major contribution to total leaf damage was from missing tissue (66% of the damaged tissue), with galls, skeletonized, and discolored tissue making smaller contributions. It is unclear whether the decline in leaf damage is a result of altered insect populations, altered feeding, or a combination. We were not able to quantify insect populations, and our measurements did not resolve an effect of elevated CO(2) on leaf chemical composition (total nitrogen, carbon, C/N, sugars, phenolics, starch). Despite predictions from a large number of single-species studies that herbivory may increase under elevated CO(2), we have found a decrease in herbivory in a naturally established forest understory exposed to a full suite of insect herbivores and their predators.

Adaptation, Physiological↗