Heat shock and salicylic acid on postharvest preservation of organic strawberries

Heat shock and salicylic acid have been studied on shelf-life extension of fruits. The benefits of these techniques have been related to their effect on inducing physiological defense responses against the oxidative stress and pathogen development. The objective of this study was to evaluate the effect of heat shock and salicylic acid on the postharvest preservation and contents of total phenolics, anthocyanins, ascorbic acid, fresh weight loss and microbiological quality of organic strawberries cv. Dover. Strawberries produced organically and stored at 5 ºC were subjected to heat shock (45 ºC ± 3 ºC for 3 h), application of salicylic acid (soaking in 2.0 mmol L-1 solution), heat shock in combination with salicylic acid and control. After treatment, the fruits were packed and stored in a climatic chamber at 5 ºC ± 2 ºC. At 1, 7 and 14 days, the experimental units were removed from refrigeration and kept at room temperature of approximately 20 ºC for two days. There was no effect of treatments on fresh weight loss, incidence of pathogens or chemical variations in strawberry fruits during the storage period. In natural conditions, organically grown strawberries remained in good condition for sale up to seven days of storage in all treatments

Detecting macroecological patterns in bacterial communities across independent studies of global soils

This study and participants were funded in part by ERC Adv grant 26055290 (KSR, WHvdP); BBSRC David Phillips Fellowship (BB/L02456X/1) (FTDV); ERC Grant Agreements 242658 [BIOCOM] and 647038 [BIODESERT] (FTM); the European Regional Development Fund (Centre of Excellence EcolChange) (JD); Yorkshire Agricultural Society, Nafferton Ecological Farming Group, and the Northumbria University Research Development Fund (CHO); BBSRC Training Grant (BB/K501943/1) (CH); Wallenberg Academy Fellowship (KAW 2012.0152), Formas (214-2011-788) and Vetenskapsrådet (612-2011-5444) (ED); the Glastir Monitoring & Evaluation Programme (Contract reference: C147/2010/11) and the full support of the GMEP team on the Glastir project (DLJ, SC, DAR)

Multi-Drug Resistance Transporters and a Mechanism-Based Strategy for Assessing Risks of Pesticide Combinations to Honey Bees

Annual losses of honey bee colonies remain high and pesticide exposure is one possible cause. Dangerous combinations of pesticides, plant-produced compounds and antibiotics added to hives may cause or contribute to losses, but it is very difficult to test the many combinations of those compounds that bees encounter. We propose a mechanism-based strategy for simplifying the assessment of combinations of compounds, focusing here on compounds that interact with xenobiotic handling ABC transporters. We evaluate the use of ivermectin as a model substrate for these transporters. Compounds that increase sensitivity of bees to ivermectin may be inhibiting key transporters. We show that several compounds commonly encountered by honey bees (fumagillin, Pristine, quercetin) significantly increased honey bee mortality due to ivermectin and significantly reduced the LC50 of ivermectin suggesting that they may interfere with transporter function. These inhibitors also significantly increased honey bees sensitivity to the neonicotinoid insecticide acetamiprid. This mechanism-based strategy may dramatically reduce the number of tests needed to assess the possibility of adverse combinations among pesticides. We also demonstrate an in vivo transporter assay that provides physical evidence of transporter inhibition by tracking the dynamics of a fluorescent substrate of these transporters (Rhodamine B) in bee tissues. Significantly more Rhodamine B remains in the head and hemolymph of bees pretreated with higher concentrations of the transporter inhibitor verapamil. Mechanism-based strategies for simplifying the assessment of adverse chemical interactions such as described here could improve our ability to identify those combinations that pose significantly greater risk to bees and perhaps improve the risk assessment protocols for honey bees and similar sensitive species

Study of pomological traits and physico-chemical quality of pomegranate (Punica granatum L.) genotypes grown in Italy

Pomegranate is considered a functional food but several local accessions and cultivars are widespread in different countries. The characterization of local germoplasm allows to identify genotypes that possess the highest nutraceutical value compared to standard cultivars (cvs.) and that are well-adapted to local climatic conditions and could be used in the breeding programs. The aim of this study was the characterization of pomological and physico-chemical traits as well as antioxidant system in local pomegranate accessions (‘Mondrone Dolce’, ‘San Pietro’, ‘Granato’ and ‘Roce’), comparing to an Italian (‘Dente di Cavallo’) and international cvs. (‘Wonderful’). A high variability of the pomological traits resulted among the cultivars. ‘Wonderful’ showed the highest value of anthocyanins (554.99 ± 0.05 mg C3gE L−1), total phenols (1494.00 ± 116.20 mg GAE L−1) and antioxidant activity (EC50values 21.21 ± 0.05 µL mL−1), whereas ‘Granato’ had the highest values among local accessions. Furthermore, the antioxidant enzymes activities varied with genotypes. Principal component analysis revealed great differences in all investigated parameters among pomegranate genotypes. ‘Mondrone Dolce’, ‘San Pietro’ and ‘Dente di Cavallo’ showed similar pomological and nutraceutical traits compared to ‘Granato’ and ‘Roce’. Conversely, ‘Wonderful’, due to its peculiar traits, revealed significant differences with respect to other genotypes

Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits

There are numerous ways in which plants can influence the composition of soil communities. However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested, in both monocultures and field-grown mixed temperate grassland communities, whether plant attributes predict soil communities including taxonomic groups from across the tree of life (fungi, bacteria, protists, and metazoa). The composition of all soil community groups was affected by plant species identity, both in monocultures and in mixed communities. Moreover, plant community composition predicted additional variation in soil community composition beyond what could be predicted from soil abiotic characteristics. In addition, analysis of the field aboveground plant community composition and the composition of plant roots suggests that plant community attributes are better predictors of soil communities than root distributions. However, neither plant phylogeny nor plant traits were strong predictors of soil communities in either experiment. Our results demonstrate that grassland plant species form specific associations with soil community members and that information on plant species distributions can improve predictions of soil community composition. These results indicate that specific associations between plant species and complex soil communities are key determinants of biodiversity patterns in grassland soils