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Apple ring rot, caused by Botryosphaeria dothidea, is one of the important diseases in China. This pathogen infects branches and fruit and also results in fruit decay during storage. Biocontrol agents have been proposed to reduce apple decays during storage and are considered as a promising alternative strategy to traditional chemical treatment. In this study, Meyerozyma guilliermondii Y-1, isolated from healthy grape fruit, was firstly evaluated for its biocontrol efficiency against B. dothidea in postharvest apple fruit, and the possible mechanisms were investigated. The results revealed that M. guilliermondii Y-1 treatment effectively reduced apple ring rot caused by B. dothidea in vivo. The disease incidence and lesion diameter were reduced by 32.22% and 57.51% compared with those of control fruit. Furthermore, the use of filtrate and autoclaved culture of M. guilliermondii Y-1 also showed a certain degree of control efficiency against fruit ring rot. M. guilliermondii Y-1 significantly inhibited the mycelial growth and spore generation of B. dothidea in vitro and exhibited an obvious ability to colonize in apple fruit wounds and surface at 25 °C or 4 °C. In addition, M. guilliermondii Y-1 treatment significantly enhanced the activities of catalase (CAT), superoxide dismutase (SOD), peroxidase (POD), phenylalanine ammonialyase (PAL), and polyphenoloxidase (PPO), promoted the total phenolics content, and alleviated lipid peroxidation in apple fruit. As expected, we found that the expression of four pathogenesis-related proteins genes (MdPR1, MdPR5, MdGLU, and MdCHI) was remarkably increased by M. guilliermondii Y-1 treatment. Our data together suggest that M. guilliermondii Y-1 is a potential biocontrol agent against B. dothidea postharvest infection in apple fruit, partially through inhibiting mycelial growth and spore germination of B. dothidea, competing for space and nutrient with pathogen, and inducing resistance in apple fruit by stimulating a series of defense responses.There are a paucity of data quantifying on-farm management practices such as the frequency of intraherd cattle movements, use of consolidated or spatially fragmented grazing pastures, and duration of time cattle spend at grass with respect to biosecurity and disease transmission. Such movement dynamics are important when attempting to understand the maintenance of chronic infectious disease, such as bovine tuberculosis (bTB). We captured empirical data on daily cattle movements for a sample of eighteen farms throughout one complete grazing season (n = 18,988 grazing days) and assessed these attributes in relation to herd bTB risk. Dairy herds were stocked at significantly higher densities compared to beef production systems (6.6 animals/ha, 95 % confidence intervals (CI) 6.5-6.7 and 4.1 animals/ha, 95 %CI 4.1 - 4.1 respectively, p less then 0.001). Most notably milking cows, were grazed at higher densities than other life stages (e.g. calves, heifers and bullocks) (p less then 0.001) and experienced four times the number of movements between pastures. selleck products Beef cattle were more likely to be grazed across multiple (rather than single) fields (p less then 0.001), with greater time spent on fragmented land away from the main/home farm (p less then 0.001). None of the farm or herd attributes analysed (e.g. stocking density, frequency of movement, movement distances or land fragmentation) were associated with herd bovine tuberculosis (bTB) breakdowns during this study. However, there was a weak positive association between bTB breakdowns during the 3 years prior to the study and cattle movement distances (p = 0.05) and time spent on fragmented land (p = 0.08). After a bTB breakdown occurs, restrictions on animals moving out of these herds are implemented to control disease spread, yet we argue that more attention is needed on the role of intraherd grazing patterns in modelling disease transmission risk between herds.Although the "panic" word has been abundantly linked to the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic in the press, in the scientific literature very few studies have considered whether the current epidemic could predispose to the onset or the aggravation of panic attacks or panic disorder. Indeed, most studies thus far have focused on the risk of increase and aggravation of other psychiatric disorders as a consequence of the SARS-CoV-2 epidemic, such as obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and generalized anxiety disorder (GAD). Yet, risk of onset or aggravation of panic disorder, especially the subtype with prominent respiratory symptoms, which is characterized by a fear response conditioning to interoceptive sensations (e.g., respiratory), and hypervigilance to these interoceptive signals, could be expected in the current situation. Indeed, respiratory symptoms, such as coughs and dyspnea, are among the most commonly associated with the SARed risk of torsade de pointe; thus, caution is required when prescribing specific psychotropic drugs, such as the antidepressants citalopram and escitalopram, which are first-line treatments for panic disorder, but also hydroxyzine, aiming at anxiety relief. The results reviewed here highlight the importance of considering and further investigating the impact of the current pandemic on the diagnosis and treatment of panic disorder (alone or comorbid with the COVID-19).Heterogeneity across a broad range of scales in geologic porous media often manifests in observations of non-Fickian or anomalous transport. While traditional anomalous transport models can successfully make predictions in certain geological systems, increasing evidence suggests that assumptions relating to independent and identically distributed increments constrain where and when they can be reliably applied. A relatively novel model, the Spatial Markov model (SMM), relaxes the assumption of independence. The SMM belongs to the family of correlated continuous time random walks and has shown promise across a wide range of transport problems relevant to natural porous media. It has been successfully used to model conservative as well as more recently reactive transport in highly complex flows ranging from pore scales to much larger scales of interest in geology and subsurface hydrology. In this review paper we summarize its original development and provide a comprehensive review of its advances and applications as well as lay out a vision for its future development.