Briefly, the double strand DNA content was measured using

Briefly, the double strand DNA content was measured using KU-57788 nmr a H33258 reagent after cell lysis as described by Rage et al. [23][23]. Reactive oxygen species (ROS) were measured by oxidation of dihydrodichlorofluorescein to dichlorofluorescein as described in literature [24]. Mitochondria membrane permeability (MMP) was measured by the uptake and retention of rhodamine 123 as described by Rat et al. [25][25]. ATP content was measured using the assay kit as described by the assay manual. A FCM (Becton, Dickinson and Company, New Jersey, USA) was employed to examine

the mitochondria membrane potential, cell cycle and apoptosis of HepG2 cell after treatment with AFB1 and ST. The mitochondria membrane potential (△Ψm) is measured using the JC-1 dye as described by literature report [26] by differentiation of the energized and deenergized mitochondria based on the fluorescent color. The cell cycle analysis is based the propidium GSK126 in vitro iodide (PI) dye that can bind double strand DNA [27], and the analysis protocol detailed in literature [28] was followed. The cell apoptosis was analyzed by employing staining reagent of PI and Annexin V-FITC as described by Vermes et al. [29][29]. In order to analyze the proapoptotic activity of AFB1 and ST in HepG2 cells, the apoptotic signaling pathway was also analyzed by immunocytochemistry

using apoptosis related markers of Bax, Bcl-2, p53, and Caspase-3. HepG2 cells at the logarithmic phase were collected at a density of 1 × 104 cells/mL. Sterile coverslips were added to a 24-well culture plate and then cell suspension was added to allow the cells seeded on the slips. After the cells become adherent, medium containing AFB1, ST and their mixture was added (in triplicate). After 48 h incubation, the slips were removed and fixed in formalin for 20 min, and then air-dried at room temperature. The slips were then hydrated through a gradient of ethanol (2 times, 1 min) -95% ethanol (2 times, 1 min) -70%

ethanol (1 time, 1 min)-water washed out after 5 min. Endogenous Decitabine mouse peroxidase activity was blocked by adding100 μL hydrogen peroxide and incubating at room temperature for 15 min, then it was washed 3 times with PBS with 5 min interval. The fixed slips were then placed in a boiling antigen retrieval solution for 15 min, incubated for 15 min, cooled out after the power is turned off and washed 3 times (5 min interval) with PBS. Non-immune serum (100 μL) from the same source of secondary antibody was added on each slip, incubated at 37 °C for 20 min, then diluted serum (antibody) (50 μL) was added (Bax 1:300, Bcl-2 1:250, Caspase3 1:200, p53 1:200) and incubated overnight at 4 °C. After incubation for 1 hr at room temperature, the slips were washed with PBS 3 times (each time 5 min). The labeled secondary antibody (50 μL) was added per slip, incubated at 37 °C for 30 min, and washed with PBS three times (each time 5 min).

The disease has been known in the Indian sub-continent for over a

The disease has been known in the Indian sub-continent for over a century (Crawford, 1912 and Husain and Nath, 1927). In the United States, HLB is now established in Florida and has resulted in substantial economic losses, estimated to be about US$3.6 billion in economic activity, in a 5 year period (Hodges and Spreen, 2012). Because of the significant financial AT13387 implications associated

with HLB, the citrus industries and the regulatory agencies in USA, Brazil, and other countries, are interested in early, rapid detection of the pathogen and subsequent management strategies required to mitigate the disease. Three fastidious gram negative bacteria have been associated with citrus HLB: ‘Candidatus Liberibacter asiaticus’ (Las), ‘Candidatus Liberibacter americanus’ (Lam) and ‘Candidatus Liberibacter africanus’ (Laf). Las is the most prevalent HLB-associated bacterium in Asia as well as in the Western hemisphere. Asian citrus psyllid (ACP; Diaphorina citri Kuwayama), the vector of Las has been reported from most citrus growing regions. The first report of ACP in the United

States was from Florida in 1998 ( Halbert et al., 2000). In Brazil, the psyllid vector prevailed for about 60 years without Enzalutamide research buy the pathogen and did not cause significant damage to the citrus industry ( Bové, 2006 and Lima, 1942). Suggested actions for mitigation of citrus HLB include: a) planting of disease-free nursery stock, b) constant scouting for visual detection of symptomatic trees and subsequent removal and, c) Ponatinib control of psyllid vector by pesticide sprays (Belasque et al., 2010, Bové, 2006, Grafton-Cardwell et al., 2013 and Hall et al., 2013). Starting a citrus grove with HLB-tested disease-free nursery stock is an excellent method of disease control and is currently being implemented by regulatory agencies in the United States and Brazil. Reduction of inoculum by removing infected plants based on visual detection of HLB symptoms was followed in many citrus industries including

Brazil (Belasque et al., 2010 and Bové, 2006). It has been shown that infected plants can remain non-symptomatic for an extended period of time, and hence tree removal will not be very effective since the pathogen is known to have a lengthy incubation and latent period (Chiyaka et al., 2012 and Gottwald, 2010). In several locations in Florida, Las was first recorded in psyllids and the subsequent detection in field plants was verified 6 months to 3 years after the initial find in psyllids (Manjunath et al., 2008). Under controlled conditions, Pelz-Stelinski et al. (2010) have demonstrated that it may take one year or longer to detect Las in plants that are successfully inoculated by Las-positive D. citri. HLB disease management based on constant monitoring of the psyllids for Las may be a suitable approach.

All analysis uses R version 2 11, and the custom-written function

All analysis uses R version 2.11, and the custom-written functions are also included as supplementary material. Replication of ELISpot test and control wells

has been recommended (Moodie et al., 2010) although it reduces the number of proteins that can be tested for given resources. Existing statistical methods utilize this replication to define positivity criteria objectively based on within-plate, between-replicate, variation (Moodie et al., 2012). In the absence of replication, the current approach relies on between-plate variation in a sizable dataset from a given population. The principle is that positivity should tend to give test wells larger counts than control wells. One problem with existing empirical cut-offs is that large absolute differences are likely to happen by chance when spot counts are high. Log transformation find more reverses the problem because large fold changes from control can occur by chance at low spot counts. In statistical terms, the original and transformed datasets both have heteroscedasticity, i.e. variance associated with the mean. One solution is to use a transformation which is less strong than the logarithm. The square root transformation may suffice, for example, when the same parasite slide is read twice. This corresponds to the theoretical minimum variation, described by the Poisson distribution of homogeneous counts (Alexander et al.,

2007). The current approach selects the selleckchem power transformation which minimizes heteroscedasticity in the Bland & Altman plot. All of the pools in the example dataset were found to have optimal powers close to ¼, i.e. fourth root transformation, which is between the square root and logarithm in strength. It was notable that some

protein test pools had little or no tendency to exceed the negative (medium) control in terms of spot count. Seeking positive Staurosporine clinical trial samples is quixotic in these circumstances. In particular, applying existing empirical criteria to such pools, the number of test wells declared positive barely exceeds the number of control wells which would have been declared positive, had the test/control status been reversed in the analysis. When there is a tendency for the differences of test over control to exceed those of control over test, a positivity cutoff can be chosen by comparing their empirical distribution functions (ECDFs), by analogy with non-parametric discrimination (Stoller, 1954). The value corresponding to the maximum difference between the ECDFs gives the greatest probability of successful classification. In practice, however, false negative and false positive errors may not have equal importance, which would suggest increasing or decreasing the cut-off. This kind of calibration, e.g. by receiver operating characteristic (ROC) curve, would require independent identification of true positive and negative individuals.

For illustration, we perform several numerical simulations with t

For illustration, we perform several numerical simulations with the nonlinear Variational Boussinesq Model ( Adytia and van Groesen, 2012), to test and validate the method. The simulations aim to generate harmonic waves with period 55 s in a numerical basin with a depth of 2 m and length 15L, where L is the wavelength. The waves are

generated at x=0 with the (bidirectional) elevation influxing. At both ends of the basin, sponge-layers are placed to damp the waves. To test the adjustment-scheme, and the required length of the adjustment interval, various values of the amplitude are considered, corresponding to wave steepness in between ka=0.0075 and ka=0.12. Crizotinib In Fig. 4 simulations with the linear model are shown in the first row, and simulations with the nonlinear model without and with adjustment in the second and third row respectively. The appearance of spurious free waves is clearly pronounced when the nonlinear simulation is performed without the adjustment scheme. By using

the length of the adjustment interval according to the information in Table 1, the results with the fully nonlinear VBM give good agreement with the 5th order Stokes waves ( Fenton, 1985) as illustrated in Fig. 5. A relative error of 2% compared to the 5th order Stokes wave has been used to determine the minimal length of the adjustment interval. To analyze the resulting check details harmonic evolution in more detail, a Fast Fourier Transform (FFT) analysis of the

time series at each computational grid point has been performed. Fig. 6 shows the first-order (solid line) and the second-order (dotted line) amplitudes for various simulation methods: with the linear code (upper left plot), with the nonlinear code without adjustment (upper right plot), and with an adjustment interval of 2L   (lower selleckchem left plot) and 5L   (lower right plot). Since a linear influxing method misses the bound (second and higher) harmonics, a direct influx in the nonlinear model shows the release of spurious waves that compensate the missing bound waves. These spurious waves travel as free wave components, with opposite phase compared to the missing bound harmonic components in the linear influx signal (see also Fuhrman and Madsen, 2006). By applying an adjustment interval of sufficient length, shown in the lower right plot of Fig. 6, the second harmonic grows slowly to nearly steady in the adjustment zone, taking some energy from the first harmonic. If the length of the adjustment zone is not sufficiently long, for instance 2L2L as in the lower left of Fig. 6, the model is still releasing spurious waves. Since the performance depends on a nontrivial relation between the strength of the nonlinear waves to be generated and the length of the adjustment zone, as shown in Table 1, the method is still somewhat ad hoc and further investigations are desired.

34 Among other factors, successful

34 Among other factors, successful selleck PDT depends on the pre-irradiation time (PIT),35 which is the time required by the PS to remain in contact with the

target cells before irradiation. This period will enable the PS to bind to the cytoplasmic membrane and/or penetrate into the cells.33 and 34 The following exposure to light will allow the PSs to exert their function in promoting cell death. Many researchers have focused their attention on effective PSs for the photoinactivation of microorganisms.26, 27, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 and 45 Curcumin (Cur) is a yellow-orange dye extracted from the rhizomes of the plant Curcuma longa. 46 It is commonly used as a spice in traditional Asian cookery, and has been shown to exhibit a variety of pharmacological properties such as antitumor, anticancer, anti-inflammatory, antioxidants, and antimicrobial activities, 18, 46 and 47 some of which can be enhanced by light application. 44 and 48 Cur has been used as a PS in antimicrobial PDT, mainly on photoinactivation of Candida species, with positive results. 41 However, some studies have stated that in contrast to that which occurs with several PSs, Cur does not bind to cells, or binds to them weakly, leaving about 90% in an extracellular bulk phase. 37 The removal

of the non-associated Cur promotes a substantial reduction in its phototoxic effects. 36 and 41 The aim of this study was to evaluate see more the effects of PIT on curcumin-mediated PDT in the Enzalutamide order inactivation of planktonic and biofilm cultures of three Candida species: C. albicans, C. glabrata, and C. dubliniensis. Two Candida strains obtained from American Type Culture Collection (ATCC) and one from the Centraal bureau voon Schimmelcultures (CBS) were evaluated in this study: C. albicans (ATCC 90028), C. glabrata (ATCC 2001), and C. dubliniensis (CBS 7987). All three Candida strains were maintained in a freezer

at −70 °C until the assay. Curcumin (Sigma–Aldrich, Saint Louis, Missouri, USA) was prepared with 10% of Dimethyl Sulfoxide (DMSO) to originate a stock solution, from which other solutions were prepared at final concentrations of 5.0, 10.0, 20.0, 30.0 and 40.0 μM. A light emitting diode (LED) was used to activate the PS. The LED device emitted 22.0 mW/cm2 of light intensity and 455 nm of predominant wavelength, and was designed at São Carlos Physics Institute, University of São Paulo, Brazil. Aliquots of 25 μL of each microorganism were spread in Petri dishes containing Sabouraud Dextrose Agar with chloramphenicol (SDA) and were incubated for 48 h at 37 °C. After this, a loopful of each cultivated yeasts was individually subcultured in 5 mL of Tryptic Soy Broth (TSB) and grown aerobically overnight at 37 °C. Each culture tube was centrifuged at 4000 rpm for 7 min and the supernatants were discarded.

In general, as it would be expected, crumb colour was affected by

In general, as it would be expected, crumb colour was affected by the colour characteristics A-1210477 clinical trial of the dietary fibre included in the formulation (Angioloni & Collar, 2011). A consumer profile of the panellists who evaluated the breads was defined. It was observed that most of the panellists that evaluated the fibre-enriched breads presented a high consumption frequency of this type of product. As many as 44.7% declared consuming fibre-enriched bread more than once a week; 15.9%, once a week; 21.1%, once every fifteen days; 2.9%, once a month; and 15.4%, occasionally. Table 1 presents the scores for

the parameters crust colour acceptance, crust appearance acceptance, aroma acceptance and taste acceptance, for

which fibre addition did not present a significant effect. With the values obtained, it was not possible to establish mathematical models for these responses as a function of the three dietary fibre sources studied. No linear, quadratic or interaction effect was significant (p < 0.05). This indicates that none of the dietary fibre sources used interfered, that is, independently of the amounts of added WB, RS and LBG, the parameter was within the range LY2109761 molecular weight of the mean value and its standard deviation. For the attributes crumb colour acceptance and crumb appearance acceptance, all three fibre sources had similar effects (Equations (8) and (9)). RS and LBG had little influence, while greater second additions of WB made panellists express greater acceptance for these sensory attributes (Fig. 3). However, works found in literature show results opposite to these. The difference in this result

could be related to the fact that the panellists that evaluated the samples were frequent consumers of fibre-enriched bread. equation(8) Crumbcolouracceptancescore=7.55+0.20WB−0.27WB2+0.15RS−0.18WBRS−0.29WBLBG(r2=0.7477;Fcalc/Ftab=2.29) equation(9) Crumbappearanceacceptancescore=7.44+0.14WB−0.23WB2−0.15WBRS−0.14WBLBG−0.19RSLBG(r2=0.7233;Fcalc/Ftab=3.12) The analysis of the response surfaces for the acceptance of crumb appearance and of those for the acceptance of crumb colour (Fig. 2), confirm the comments registered by the consumers in the evaluation forms. It was observed that, when consuming a fibre-enriched bread, they expect to visualize them in the product. As LBG and RS are light and fine fibre sources, WB is the main dietary fibre source responsible for changes in the aspect and colour of the crumbs of breads, as it is constituted by darker and larger particles. This last statement can be confirmed through the evaluation of breads from Assay 9, without WB addition. Consumers, through their comments, questioned the fact that a “white” bread was being presented in an evaluation of fibre-enriched bread.

Although pirarucu farming is still incipient, the species has sho

Although pirarucu farming is still incipient, the species has shown great potential because of its peculiar characteristics, such as: excellent quality of meat, free of thorns, large consumer acceptance,

rusticity, air-breathing capacity and high growth rates, which can range from 7–10 kg in the first year of farming establishment ( Imbiriba, 2001 and Pereira-Filho et al., 2003). Since pirarucu is a large fish, its processing generates a considerable amount of waste, including viscera. In the light of this fact, the objective of this study was to establish a purification protocol, and to characterise and evaluate the possibility of using the digestive tract (pyloric caeca) of A. gigas as a potential source of trypsin. Specific substrate, inhibitors, http://www.selleckchem.com/products/ve-821.html Sephadex® G75 and DMSO were purchased from Sigma (St. Louis, MO, USA). Benzamidine–Sepharose was purchased from GE Healthcare (Buckinghamshire, UK). All salts and acid solutions were purchased from Merck (Darmstadt, Germany) and all SDS–PAGE reagents and molecular mass marker were from Bio-Rad Laboratories (Ontario, Canada). The Universidade Federal Rural de Pernambuco (Recife-PE, Brazil) kindly donated cultivated juvenile specimens see more of A. gigas for this study. The experimental cultivation of A. gigas was conducted in excavated tanks (250 m2)

located in the Estação de Aquicultura Continental Johei Koike – Universidade Federal Rural de Pernambuco, Recife-PE, Brazil. The animals were fed a commercial diet provided by Purina S/A, Brazil, containing 40% crude protein. Mean length of A. gigas specimens was 76.8 ± 12.2 cm

and mean weight was 4118 ± 1.8 g. After 40 days, three specimens were sacrificed in an ice bath Bupivacaine for biometric measurements and tissue removal, according to standard methodology described by Bezerra et al. (2001). The pyloric caeca were dissected, carefully cleaned with deionized water, and kept at 4 °C during transportation to the laboratory (∼30 min). After this, the tissues (16 g) were homogenised in 0.1 M Tris–HCl pH 8.0 (200 mg of tissue/ml buffer), using a tissue homogenizer (4 °C) (IKA RW 20D S32, China). The homogenate was then centrifuged (Sorvall RC-6 Superspeed Centrifuge, North Carolina, USA) at 10,000g for 20 min at 4 °C. The supernatant (crude extract) was stored at −25 °C and used for further purification steps. Trypsin was purified, following a four-step procedure: heat treatment, ammonium sulphate precipitation, molecular size exclusion chromatography (Sephadex® G-75) and affinity chromatography (benzamidine-agarose). Crude extract (60 ml) was incubated at 45 °C for 30 min and centrifuged at 10,000g for 10 min at 4 °C. The supernatant was collected and fractionated into three fractions with ammonium sulphate (F1, 0–30%, F2, 30–90% of saturation and SF, final supernatant) for 2 h at 4 °C. Afterwards, the precipitate containing trypsin activity was collected by centrifugation and dialysed against 0.1 M Tris–HCl, pH 8.0.

Based on our

Based on our buy Regorafenib findings, our initial hypothesis that the isomer pattern of total PFOS exposure can help to explain the isomer pattern found in human serum is rejected. Furthermore, current knowledge on isomer-specific differences in pharmacokinetics and metabolism of PFOS and/or precursors combined with the present data cannot explain the difference in the isomer pattern of the intake relative to the pattern in human serum. This discrepancy between PFOS isomer patterns in external and internal exposure could potentially be explained by: i) inaccurate estimation of the daily exposure (e.g., due to unknown precursors, missing or poorly quantified exposure pathways and/or poorly quantified isomer ratios of PFOS and

precursors) or ii) an incomplete understanding of the human pharmacokinetic processes (e.g., biotransformation and elimination kinetics of precursors, intermediates and PFOS isomers). The estimated daily intakes for all PFCAs and individual precursors (assuming no biotransformation) are provided in Table S11. Based on these intakes and biotransformation factors for precursors as given

in Section 2.2, the highest http://www.selleckchem.com/products/bmn-673.html total daily exposures among individual PFCAs are estimated for PFOA with 44 pg/kg/d, 270 pg/kg/d, and 3000 pg/kg/d for the low-, intermediate-, and high-exposure scenarios, respectively (Table 1, Fig. 2). Direct PFOA intake is dominant in the low- and intermediate-exposure scenarios (87% and 73% of total exposure, respectively), while in the high-exposure scenario precursor-based (indirect) intake is more important, contributing 64% to the total exposure (Tables S12–S14). Lower daily exposures are estimated for PFHxA and PFDA, ranging from 15 to 520 pg/kg/d for PFHxA and from 24 to 660 pg/kg/d for PFDA, depending on the exposure scenario (Table 1). For both PFHxA and PFDA, direct intake is dominant

in the low- and intermediate-exposure scenarios, contributing between 72% and 96% of the total exposures. In the high-exposure scenario, direct PFHxA intake is still dominant (66%), whereas for PFDA the major daily exposure (66%) originates from precursor-based intakes. The lowest daily exposures are estimated for PFBA and PFDoDA, ranging between 6.3 and 190 pg/kg/d for PFBA and between 23 and 180 pg/kg/d for PFDoDA, depending on the exposure scenario (Table 1). from For both PFBA and PFDoDA, daily exposures originate almost entirely from direct intakes regardless of the scenario (i.e., 75%–99%). Based on these results, our hypothesis that the estimated total exposure to PFOA is greater than to other PFCA homologues, and that contributions of direct and indirect exposure vary widely by homologue, is verified. Furthermore, the exposure scenario has a strong influence on the estimated relative importance of direct and indirect intakes, with precursors becoming more important the higher the exposure scenario (Table 1).

The participants’ task was to identify the target letter by press

The participants’ task was to identify the target letter by pressing a key for B, P, or R (the keys 1, 2, or 3) as quickly and accurately as possible (based on the original study by Kane, Bleckley, Conway, & Engle, 2001). Participants received, in order, 10 practice trials to learn the response mapping, 15 practice trials 40 test trials. Proportion correct was the dependent measure. Disengagement task. The Disengagement task consisted of two parts. In the first part, the threshold Akt inhibitor target exposure duration was individually

obtained. In this phase, participants were presented with four place holders for 500 ms. Then, a red square frame with a gap on one side was presented as a target in one of the place holders along with three more differently colored square frames (blue,

green, or magenta) filling in the other place holders. After a target exposure duration (initially set to 500 ms), color patch masks were presented over all the place holders. Participants’ task was to report the direction of the gap on the target. The exposure duration was titrated every trial to establish a threshold target exposure duration with which each individual can perform the task with about 75% accuracy selleck ( Fukuda & Vogel, 2011). Participants completed 4 blocks of 60 trials, and the average exposure duration for the last 20 trials in the last 3 blocks was used as the threshold target exposure duration. In the second part, attentional disengagement was assessed. In this phase, participants performed essentially the same task with the fixed target exposure time defined for each individual. The difference however, was that on 1/3 of the trials, a colored square frame (distractor) was briefly presented on a periphery of a place holder prior to the target onset. A half of the distractors were red (contingent), and the other half were either green, blue or magenta. Participants

completed 720 trials in total. The dependent measure was the difference in the accuracy for no distractor condition and contingent distractor Phosphoglycerate kinase condition (distractor to target SOA = 150 ms). Picture source recognition. During the encoding phase, participants were presented with a picture (30 total pictures) in one of four different quadrants onscreen for 1 s. Participants were explicitly instructed to pay attention to both the picture (item) as well as the quadrant it was located in (source). At test participants were presented with 30 old and 30 new pictures in the center of the screen. Participants were required to indicate if the picture was new or if it was old, what quadrant it was presented in via key press. Thus, on each test trial participants pressed one of five keys indicating new, top left, top right, bottom left, or bottom right. Participants had 5 s to press the appropriate key to enter their response. A participant’s score was the proportion of correct responses. Paired associates.

, 2004, Sunderland et al , 2009, Hendriks et al , 2012 and Siriga

, 2004, Sunderland et al., 2009, Hendriks et al., 2012 and Sirigar et al., 2012). Lack of information, selleckchem however, may not be the problem. Rather, opportunity costs may be too high for the landholder to undertake restoration, benefits may accrue to others or society at large but not to the landholder, or both. Fully understanding the distribution of costs and benefits of restoration is critical to achieving optimal landscape designs. The benefits of participatory management have been advanced (Redpath et al., 2013 and Young et al., 2013) as normative (strengthening democratic processes), substantive (additional knowledge and improved decision-making), and instrumental (improved

legitimacy and trust with reduced intensity of conflicts). Berkes (2009) reviewed this topic and provided these key insights: institutions (government agency and local organizations)

are not monolithic and have a multiplicity of interests; co-management is not a static formal structure of roles and responsibilities but rather a fluid problem-solving arrangement. Various methods are available to inform restoration project formulation and assess impacts on local communities (Chambers, 1994). One tool, participatory mapping, can be used to integrate social and biophysical perspectives by displaying spatially the location of resources, their condition, and how they are used (e.g., Boedhihartono and Sayer, 2012 and Hewitt et al., 2014). Because co-management occurs within a social Lumacaftor supplier context, no single approach will yield universally positive results (Young et al., 2013). Therefore, gathering information and understanding the social dimensions of a restoration project is as necessary as understanding the biophysical dimensions (Charnley, 2006 and Knight et al., 2008). As Crow (2014) concluded, social considerations can trump

biophysical factors. We thank Teicoplanin the participants of Science Considerations in Functional Restoration: A Workshop for their insights into current restoration approaches and the US Forest Service, Research and Development Deputy Area for partial support. Marilyn Buford and Randy Johnson are thanked for their project support and for arranging, with Mary Beth Adams, the workshop, ably assisted by Joe McNeel and his staff from West Virginia University. We also thank Jim Marin for the figures. We express gratitude to two annonymous reviewers for their helpful suggestions that improved this work. The views expressed are strictly those of the authors and do not represent the positions or policy of their respective institutions. “
“Reliable data on the status and trends of tree genetic resources of present or potential benefit to humans are required to support the sustainable management of perhaps as many as 100,000 tree species found globally inside and outside forests (Oldfield et al., 1998).