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Moreover, real-time quantitative PCR analysis demonstrated that HbWRKY82 regulated the transcriptional expression of several stress-responsive genes (DREB1A, ERD10, HKT1, P5CS, RD22, RD29B, SKOR), leaf senescence marker genes (EIN3, WRKY53, NAP), ROS-related genes (RbohD, CSD1, CSD2, FSD3) and hormone signaling genes (EIN3, ABF3, ABF4). Collectively, our findings suggested that HbWRKY82 might function as an important transcriptional regulator in ET- and ABA-mediated leaf senescence and abiotic stress responses, and also be involved in tapping panel dryness, latex flow and regeneration processes of rubber trees via participating in the ET and reactive oxygen species signaling pathways.Plants that grow in high density communities activate shade avoidance responses to consolidate light capture by individuals. Although this is an evolutionary successful strategy, it may not enhance performance of the community as a whole. Resources are invested in shade responses at the expense of other organs and light penetration through the canopy is increased, allowing invading competitors to grow better. Here we investigate if suppression of shade avoidance responses would enhance group performance of a monoculture community that is invaded by a competitor. Using different Arabidopsis genotypes, we show that suppression of shade-induced upward leaf movement in the pif7 mutant increases the pif7 communal performance against invaders as compared to a wild-type canopy. The invaders were more severely suppressed and the community grew larger as compared to wild type. Using computational modelling, we show that leaf angle variations indeed strongly affect light penetration and growth of competitors that invade the canopy. Our data thus show that modifying specific shade avoidance aspects can improve plant community performance. Temsirolimus inhibitor These insights may help to suppress weeds in crop stands.

Frailty may explain why some older patients having vascular surgery are at high risk of adverse outcomes. The Hospital Frailty Risk Score (HFRS) has been designed specifically for use with administrative data and has three categories of frailty risk (low, intermediate and high). The aim of this study was to evaluate the HFRS in predicting mortality, and hospital use in older patients undergoing vascular surgery.

Routinely collected hospital data linked to death records were analysed for all patients aged 75 years or older who had undergone either endovascular or open vascular surgery between 2010 and 2012 in New South Wales, Australia. Multilevel logistic regression models were used to compare outcomes adjusted for patient and procedural factors, with and without frailty.

Some 9752 patients were identified, of whom 1719 (17·6 per cent) had a high-risk HFRS. Patients in the high-risk frailty category had an adjusted odds ratio for death by 30 days after surgery of 4·15 (95 per cent c.i. 2·99 to 5·76) compared with those in the low-risk frailty category, and a similarly increased odds of death by 2 years (odds ratio 4·27, 3·69 to 4·95). Adding the HFRS to a model adjusted for age, sex, co-morbidity score, socioeconomic status, previous hospitalization and vascular procedure type improved the prediction of 2-year mortality and prolonged hospital stay, but there was minimal improvement for 30-day mortality and readmission.

Adjusting for the HFRS in addition to other patient and procedural risk factors provided greater discrimination of outcomes in this cohort of older patients undergoing vascular surgery.

Adjusting for the HFRS in addition to other patient and procedural risk factors provided greater discrimination of outcomes in this cohort of older patients undergoing vascular surgery.Correlative light and electron microscopy (CLEM) is a method used to investigate the exact same region in both light and electron microscopy (EM) in order to add ultrastructural information to a light microscopic (usually fluorescent) signal. Workflows combining optical or fluorescent data with electron microscopic images are complex, hence there is a need to communicate detailed protocols and share tips & tricks for successful application of these methods. With the development of volume-EM techniques such as serial blockface scanning electron microscopy (SBF-SEM) and Focussed Ion Beam-SEM, correlation in three dimensions has become more efficient. Volume electron microscopy allows automated acquisition of serial section imaging data that can be reconstructed in three dimensions (3D) to provide a detailed, geometrically accurate view of cellular ultrastructure. In addition, combining volume-EM with high-resolution light microscopy (LM) techniques decreases the resolution gap between LM and EM, making retracin this study we present a workflow to guide a tissue sample from the light microscope to the electron microscope and image the ultra-structure of a specific cell type in the liver. In particular we focus on the incorporation of fiducial markers during the sample preparation to help navigate through the tissue in 3D in both microscopes. One sample is followed throughout the workflow to visualize the important steps in the process, showing the final result; a dataset combining fluorescent labels with ultra-structural detail.Plant pathogens pose a significant threat to the food industry and food security accounting for 10-40% crop losses annually on a global scale. Economic losses from plant diseases are estimated at $300B for major food crops and are associated with reduced food availability and accessibility and also high food costs. Although strategies exist to reduce the impact of diseases in plants, many of these introduce harmful chemicals to our food chain. Therefore, it is important to understand and utilize plants' immune systems to control plant pathogens to enable more sustainable agriculture. Lipids are core components of cell membranes and as such are part of the first line of defense against pathogen attack. Recent developments in omics technologies have advanced our understanding of how plant membrane lipid biosynthesis, remodelling and/or signalling modulate plant responses to infection. Currently, there is limited information available in the scientific literature concerning lipid signalling targets and their biochemical and physiological consequences in response to plant pathogens.