Tree chitinases – stress‐ and developmental‐driven gene regulation

In recent years, a considerable number of studies have harnessed the power of genomics to decipher the role of pathogenesis‐related (PR) proteins in plant defence against various biotic and abiotic stresses. Chitinases are PR antifungal proteins expressed constitutively at low levels in plants and induced during biotic pressures and are demonstrated to be involved in the plant defence responses. Remarkable induction of chitinase enzymes by various abiotic agents (salicylic acid, jasmonic acid, ethylene and ozone) and biotic components (pathogens, insect pest, fungal cell wall components and oligosaccharides) is well demonstrated in plants. Several reviews on plant chitinase expression during host–pathogen interaction are available for annual species, whilst reports of their expression in tree species are limited to a few woody perennials: Populus, Pinus, Picea, Eucalyptus, Castanea and Pseudotsuga. The aim of this paper is to review the induction of chitinase during various stresses and developmental processes in forest tree species.     

The palaeoecological approach to reconstructing former grazing–vegetation interactions

Interactions between grazing animals and vegetation are assessed from three temporal perspectives: millions, thousands and hundreds of years. Data abundance and quality are highest for recent time periods, but geological data provide a background to the understanding of present-day grazing–vegetation interactions. The Quaternary glaciations and recent anthropogenic influences have contributed to the loss of European mega-herbivores. The geological record from the Eemian interglacial in Denmark suggests that presence of elephant and rhinoceros did not create widespread openings in forest cover. Large populations of giant deer in Ireland became extinct 11 000 years ago. We propose a theory that the giant deer were sufficiently abundant to convert juniper scrub communities into open grassland at a regional scale. The balance between grazers and browsers has undergone continuous change during the last 10 000 years with significant consequences for forest composition and structure. Hunting statistics and archival records permit crude reconstructions of population dynamics for certain ungulate species. High resolution pollen analysis and long-term monitoring generate reconstructions of vegetation that can be compared with fluctuating grazing pressure during the last few hundred years. Such data can be used to validate simulation models of grazing–vegetation interactions.     

Forest biomass and root–shoot allocation in northeast China

Temperate and boreal forests act as major sinks for atmospheric CO₂. To assess the magnitude and distribution of the sinks more precisely, an accurate estimation of forest biomass is required. However, the determinants of large-scale biomass pattern (especially root biomass) are still poorly understood for these forests in China. In this study, we used 515 field measurements of biomass across the northeast part of China, to examine factors affecting large-scale biomass pattern and root–shoot biomass allocation. Our results showed that, Picea & Abies forest and coniferous & broadleaf mixed forest had the highest mean biomass (178–202 Mg/ha), while Pinus sylvestris forest the lowest (78 Mg/ha). The root:shoot (R/S) biomass ratio ranged between 0.09 and 0.67 in northeast China, with an average of 0.27. Forest origin (primary/secondary/planted forest) explained 31–37% of variation in biomass (total, shoot and root), while climate explained only 8–15%, reflecting the strong effect of disturbance on forest biomass. Compared with shoot biomass, root biomass was less limited by precipitation as a result of biomass allocation change. R/S ratio was negatively related to water availability, shoot biomass, stand age, height and volume, suggesting significant effects of climate and ontogeny on biomass allocation. Root–shoot biomass relationships also differed significantly between natural and planted forests, and between broadleaf and coniferous forests. Shoot biomass, climate and forest origin were the most important predictors for root biomass, and together explained 83% of the variation. This model provided a better way for estimating root biomass than the R/S ratio method, which predicted root biomass with a R² of 0.71.     

Die Bedeutung von Krankheitserregern beim gegenwärtigen Eichensterben in Europa – eine Literaturübersicht

The decline of oaks (Quercus spp.) has been reported in literature for more than two centuries. The symptoms of this syndrome seem to be the same at different sites - with the exception of oak with’ in North America, the geographic range of declines coincides more or less with the natural range of oaks, but most of the reports from the past few decades deal with the European situation and less With such syndromes in America and Asia. So far, the decline of oaks is not yet fully understood. Pathogens play’ a role as predisposing and aggravating factors, but in general are not the primary cause of the decline.     

Two novel proaporphine–tryptamine dimers from Roemeria hybrida

Roemeria hybrida yielded two novel proaporphine-tryptamine N-oxides, (-)-roehybridine alpha-N-oxide (1) and (-)-roehybramine beta-N-oxide (2). NMR data allowed a facile assignment of these proaporphine-tryptamine dimers into different stereochemical subgroups.     

Strategies of attack and defence in woody plant–Phytophthora interactions

This review comprises both well‐known and recently described Phytophthora species and concentrates on Phytophthora–woody plant interactions. First, comprehensive data on infection strategies are presented which were the basis for three models that explain invasion and spread of Phytophthora pathogens in different woody host plants. The first model describes infection of roots, the second concentrates on invasion of the trunk, and the last one summarizes infection and invasion of host plants via leaves. On the basis of morphological, physiological, biochemical and molecular data, scenarios are suggested which explain the sequences of reactions that occur in susceptible and tolerant plants following infections of roots or of stem bark. Particular emphasis is paid to the significance of Phytophthora elicitins for such host–pathogen interactions. The overall goal is to shed light on the sequences of pathogenesis to better understand how Phytophthora pathogens harm their host plants.     

Temporal metabolic profiling of the Quercus suber–Phytophthora cinnamomi system by middle‐infrared spectroscopy

The oomycete Phytophthora cinnamomi is an aggressive plant pathogen, detrimental to many ecosystems including cork oak (Quercus suber) stands, and can inflict great losses in one of the greatest ‘hotspots’ for biodiversity in the world. Here, we applied Fourier transform‐infrared (FT‐IR) spectroscopy combined with chemometrics to disclose the metabolic patterns of cork oak roots and P. cinnamomi mycelium during the early hours of the interaction. As early as 2 h post‐inoculation (hpi), cork oak roots showed altered metabolic patterns with significant variations for regions associated with carbohydrate, glycoconjugate and lipid groups when compared to mock‐inoculated plants. These variations were further extended at 8 hpi. Surprisingly, at 16 hpi, the metabolic changes in inoculated and mock‐inoculated plants were similar, and at 24 hpi, the metabolic patterns of the regions mentioned above were inverted when compared to samples collected at 8 hpi. Principal component analysis of the FT‐IR spectra confirmed that the metabolic patterns of inoculated cork oak roots could be readily distinguished from those of mock‐inoculated plants at 2, 8 and 24 hpi, but not at 16 hpi. FT‐IR spectral analysis from mycelium of P. cinnamomi exposed to cork oak root exudates revealed contrasting variations for regions associated with protein groups at 16 and 24 h post‐exposure (hpe), whereas carbohydrate and glycoconjugate groups varied mainly at 24 hpe. Our results revealed early alterations in the metabolic patterns of the host plant when interacting with the biotrophic pathogen. In addition, the FT‐IR technique can be successfully applied to discriminate infected cork oak plants from mock‐inoculated plants, although these differences were dynamic with time. To a lesser extent, the metabolic patterns of P. cinnamomi were also altered when exposed to cork oak root exudates.     

Modelling near-natural silvicultural regimes for beech – an economic sensitivity analysis

Near-natural silvicultural regimes for beech (Fagus sylvatica L.), in the form of uneven-aged selective felling, receive increasing interest in Denmark. This is partly due to the ability of this system to preserve the forest climate and maintain important ecological functions such as bio-geochemical cycling and biodiversity conservation. The optimal age to convert from even-aged management to uneven-aged selective felling seems to be as early as possible, about 55 years, when sufficient natural seeding can be expected. A fixed conversion period of 100 years is assumed. This regime, here analysed by the use of a so-called chessboard model, appears to be economically superior to clear felling if the regime is initiated in medium-aged stands down to the age of 55 years, assuming a high site quality and a real discount rate of 3% per annum. Uneven-aged selective felling seems to be economically superior to even-aged natural regeneration, assuming that: (i) the stumpage prices of regeneration harvests are increased by 10%, or (ii) the diameters of regeneration harvests exceed those of even-aged management by about 17% simultaneous with an identical increase of the maximum stumpage price. Clear felling seems to be the more profitable regime only if: (i) the stand is close to the economic optimal rotation age for clear felling, and (ii) when the stumpage prices of regeneration harvests achieved by use of the uneven-aged selective management regime are reduced by 10% or more due to quality defects caused by prolonged rotation ages. The above results are sensitive to variation of stumpage prices, but less so to variation of regeneration costs associated with near-natural management systems. However, the near-natural silvicultural regimes may be unable to fulfill the liquidity objectives following from the application of traditional management systems.     

Spatial–temporal patterns of Ceratocystis wilt in Eucalyptus plantations in Brazil

Ceratocystis wilt, caused by Ceratocystis fimbriata, has become the most important disease in eucalyptus (Eucalyptus spp. and hybrids) plantations in Brazil. To further our understanding of the epidemiology of this disease, we surveyed eucalyptus plantations in the states of Minas Gerais and Bahia that were known to have Ceratocystis wilt or were thought to have been planted with infected rooted cuttings. There was generally higher disease incidence in the Minas Gerais plantations, which were on former Cerrado forest sites and likely had soilborne inoculum prior to planting eucalyptus. In such plantations, disease incidence was not evident before 20 months after planting but slowly increased up to 50% at 74 months. The symptomatic and killed trees were aggregated, perhaps from uneven distribution of inoculum in the soil. Also, the progression of cumulative disease incidence best fit a monomolecular model, which is typical of soilborne diseases (fixed level of initial inoculum with little or no secondary inoculum during the crop rotation). However, plots where some trees had been harvested during the rotation showed very high levels of disease incidence in the sprouts that arose from stumps, suggesting secondary spread of the pathogen on harvesting tools or machinery. Most of the Bahia plantations were on pastureland prior to eucalyptus cultivation, and the pathogen was likely introduced with infected nursery stock. In such plots, symptoms were evident as soon as 7 months after planting, and most of the mortality occurred within 12 months. The diseased trees on former pastureland sites were sometimes aggregated within planting rows, suggesting that bunches of infected nursery stock were planted together within the rows. Care should be taken in planting disease‐free planting material and spreading the pathogen on tools, but on sites with soilborne inoculum, use of resistant clones may be the only management option.     

Simultaneous quantification of eight bioactive components of Houttuynia cordata and related Saururaceae medicinal plants by on-line high performance liquid chromatography–diode array detector–electrospray mass spectrometry

An on-line high performance liquid chromatography (HPLC)–diode array detector (DAD)–electrospray ionization mass spectrometry (ESI–MS) method has been developed to quantify simultaneously eight bioactive chemical components in Houttuynia cordata Thunb and related Saururaceae medicinal plants. Simultaneous separation of these eight compounds was achieved on a C₁₈ analytical column with gradient elution of acetonitrile and 0.2% acetic acid (v/v) at a flow rate of 0.6 mL/min and being detected at 280 nm. These eight compounds were completely separated within 90 min. Good linear regression relationship (r² > 0.9978) within test ranges was shown in all calibration curves. Good repeatabilty for the quantification of these eight compounds in H. cordata was also demonstrated in this method, with intra- and inter-day variations less than 3.0%. The method established was successfully applied to quantify eight bioactive compounds in closely related species of H. cordata, which provides a new basis for quality assessment of H. cordata.     

PCR–DGGE method for in planta detection and identification of Phytophthora species

We have developed a method to detect multiple species of Phytophthora directly in infected plant tissues. The method is based on the polymerase chain reaction and uses Phytopththora‐specific primers and denaturing gradient gel electrophoresis (PCR–DGGE). The method distinguished most of the 16 Phytophthora species tested. Very closely related species might not, however, be identified using the method. The detection efficiency was high and successful in eight different plant tissues tested. The PCR–DGGE detection tool developed here will be a fast and inexpensive method suitable for pathogen surveys and research programmes.     

Height–diameter models for tropical forests on Hainan Island in southern China

Measurements on 8352 felled trees from 31 plots in tropical forests on Hainan Island provided information to investigate the relationship between total tree height and diameter at 1.3 m (DBH). Out of 33 model forms either published or derivable from published forms, a modification of the exponential model published by Meyer (Meyer, H.A. A mathematical expression for height curves. J. For. 38 (1940) 415–420) was selected based on low bias and relatively good precision of its predictions on individual plots. Variations from plot-to-plot were significant. Therefore, a parameter prediction method based on predictor variables derived from all DBH values on a plot was developed in order to provide a method to localize the model. In a test with independent data from an additional 36 plots, the localized height-prediction model produced predictions with a pooled mean-squared error of 3.8 m², a pooled R² of 0.72, and an average bias of −0.2 m. Even though tremendous variability exists in tropical forests and modeling height–DBH relationships never provides high levels of precision, this model will provide a useful and economical alternative to attempting height measurements during inventories of these forests.