The “Nanguo” pear is a typically climacteric fruit and ethylene is the main factor controlling the ripening process of climacteric fruit. Ethylene biosynthesis has been studied clearly and ACC synthase (ACS) is the rate-limited enzyme. ACO (ACC oxidase) is another important enzyme in ethylene biosynthesis. By exploring the pear genome, we identified 13 ACS genes and 11 ACO genes, respectively, and their expression patterns in fruit and other organs were investigated. Among these genes, 11 ACS and 8ACO genes were expressed in pear fruits. What’s more, 4 ACS and 3ACO genes could be induced by Ethephon and inhibited by 1-MCP treatment. This study is the first time to explore ACS and ACO genes at genome-wide level and will provide new data for research on pear fruit ripening.
1-Aminocyclopropane-1-carboxylic acid synthase (ACS) is one of the key regulatory enzymes involved in the synthesis of ethylene. Climacteric fruit ripening is accompanied by increased ethylene production, in which ethylene biosynthesis is changed from system 1 to system 2. In apple, at least four members of the ACS gene family have been identified, two of which, MdACS1 and MdACS3a, have been studied extensively due to their specific expression in fruit tissue. However, the regulatory role of MdACS1 and MdACS3a in the ethylene biosynthesis system is unknown. Here we addressed this issue by investigating ACS expression in ripening apple fruits. Expression analysis in ‘Golden Delicious’ and ‘Red Fuji’ fruits, in combination with treatments of 1-MCP (1-methylcyclopropene, an ethylene inhibitor) and Ethephon (an ethylene releaser) has demonstrated that MdACS3a and MdACS1operate in system 1 and system 2 ethylene biosynthesis, respectively. 相似文献
Forest cover change directly affects biodiversity, the global carbon budget, and ecosystem function. Within Latin American and the Caribbean region (LAC), many studies have documented extensive deforestation, but there are also many local studies reporting forest recovery. These contrasting dynamics have been largely attributed to demographic and socio‐economic change. For example, local population change due to migration can stimulate forest recovery, while the increasing global demand for food can drive agriculture expansion. However, as no analysis has simultaneously evaluated deforestation and reforestation from the municipal to continental scale, we lack a comprehensive assessment of the spatial distribution of these processes. We overcame this limitation by producing wall‐to‐wall, annual maps of change in woody vegetation and other land‐cover classes between 2001 and 2010 for each of the 16,050 municipalities in LAC, and we used nonparametric Random Forest regression analyses to determine which environmental or population variables best explained the variation in woody vegetation change. Woody vegetation change was dominated by deforestation (?541,835 km2), particularly in the moist forest, dry forest, and savannas/shrublands biomes in South America. Extensive areas also recovered woody vegetation (+362,430 km2), particularly in regions too dry or too steep for modern agriculture. Deforestation in moist forests tended to occur in lowland areas with low population density, but woody cover change was not related to municipality‐scale population change. These results emphasize the importance of quantitating deforestation and reforestation at multiple spatial scales and linking these changes with global drivers such as the global demand for food. 相似文献
BACKGROUND AIMS. Lymphedema is a common complication with breast cancer treatment that does not have a definite cure. Our objective was to determine the efficacy of autologous stem cells (ASC) in the treatment of lymphedema secondary to mastectomy and axillary lymphadenectomy in comparison with traditional decongestive treatment with compression sleeves. METHODS. A prospective study including 20 women with lymphedema secondary to breast cancer surgery with axillary lymphadenectomy was conducted. Women were assigned at random to one of two groups. One group of 10 women was injected with ASC in the affected arm, whereas the other 10 women comprised the control group and received traditional compression sleeve therapy (CST). The follow-up for both groups was 12 weeks. Pain, sensitivity and mobility were assessed before and after therapy. RESULTS. There was improvement in the volume of lymphedema in both groups, with no significant difference. In the ASC group there was an overall volume reduction during the follow-up, whereas in the CST group lymphedema recurred after the compression sleeve was removed. CONCLUSIONS. Our findings suggest that ASC injection for patients with lymphedema can be an effective treatment. It reduces arm volume and associated co-morbidities of pain and decreased sensitivity. Traditional CST was also effective for lymphedema reduction, but it was dependent on continuous use of the treatment. 相似文献
We compared the ability of three machine learning algorithms (linear discriminant analysis, decision tree, and support vector machines) to automate the classification of calls of nine frogs and three bird species. In addition, we tested two ways of characterizing each call to train/test the system. Calls were characterized with four standard call variables (minimum and maximum frequencies, call duration and maximum power) or eleven variables that included three standard call variables (minimum and maximum frequencies, call duration) and a coarse representation of call structure (frequency of maximum power in eight segments of the call). A total of 10,061 isolated calls were used to train/test the system. The average true positive rates for the three methods were: 94.95% for support vector machine (0.94% average false positive rate), 89.20% for decision tree (1.25% average false positive rate) and 71.45% for linear discriminant analysis (1.98% average false positive rate). There was no statistical difference in classification accuracy based on 4 or 11 call variables, but this efficient data reduction technique in conjunction with the high classification accuracy of the SVM is a promising combination for automated species identification by sound. By combining automated digital recording systems with our automated classification technique, we can greatly increase the temporal and spatial coverage of biodiversity data collection. 相似文献
Understanding of the pedogenic pathways associated with arsenic (As) transformations in soil is important to understanding arsenic soil chemistry and discriminating between natural background and anthropogenic arsenic (As). Twenty-one soil series, some with multiple pedons, were assessed to determine if the As distributions in soil profiles exhibit discrete maxima that correspond to the presence of agrillic horizons. The majority of pedons exhibiting argillic horizon expression show a Fe-oxyhydroxide and As maxima corresponding precisely with the argillic horizon. Pearson correlation coefficients verify the close correspondence of Fe and As. Soil profiles having cambic horizons, and lacking argillic horizons, may also show As and Fe accumulations at soil depths. Some coarse-textured, well-drained to moderately well-drained Entisols and Inceptisols have Fe-oxyhydroxide accumulation in their cambic horizons, promoting As accumulation. Conversely, silty-textured and poorly drained to somewhat poorly drained Entisols and Inceptisols have C and Cg horizons that show somewhat uniform Fe and As concentrations throughout their soil profiles. Analysis of selected pedons having well-drained to moderately well-drained soil profiles demonstrates that clay fraction Fe and As concentrations are closely correlated and that the As and Fe concentrations are greater than those from the corresponding whole soil. The somewhat poorly drained Crowley pedon exhibited cohesive masses of Fe and Mn accumulation (sand separate) that had greater arsenic concentrations than those of the clay and silt separates. These pedogenic nodules with enhanced arsenic concentrations reveal alternative pathways involving arsenic transformation. 相似文献