Biocontrol Potential of Endophytic LSR7 Against Rubber Red Root Rot Disease.

To obtain an effective bacterial biocontrol strain against the fungal pathogen , causing rubber tree red root rot disease, healthy rubber tree tissue from Baisha County, Hainan Province, was selected as the isolation source, and bacterial strains with strong antifungal effects against . were screened. The strain was identified by molecular biology, in vitro root segment tests, pot growth promotion tests, and genome detection.

Isolation, Identification, and Biocontrol Mechanisms of Endophytic DHR18 from Rubber Tree against Red Root Rot Disease.

Red root rot disease is a devastating fungal disease of rubber trees caused by (Wakef). Biocontrols using beneficial microorganisms are safe and sustainable. We isolated a DHR18 endophytic bacterium from a healthy rubber tree to obtain a new efficient antagonistic bacterium for red root rot disease affecting rubber trees and evaluated the mechanism of action involved using a double culture assay, genome annotation analysis, and the ethyl acetate extraction method.

Research Progress on the Correlation of Atopic Dermatitis with Gut Microbiota.

Atopic dermatitis (AD) is a common skin disease, the pathogenesis of which has not been fully elucidated. The gut microbiota is the largest micro-ecosystem in the human body that affects the immune system and skin barrier function. Recent studies have shown that in addition to the environmental factors, skin barrier, genetic factors and immune response, gut microbiota disturbance may also cause AD.

A New Biocontrol Agent SF334 against Rubber Tree Fungal Leaf Anthracnose and Its Genome Analysis of Versatile Plant Probiotic Traits.

Natural rubber is an important national strategic and industrial raw material. The leaf anthracnose of rubber trees caused by the species is one of the important factors restricting the yields of natural rubber. In this study, we isolated and identified strain SF334, which exhibited significant antagonistic activity against both .

The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy.

We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy.

Gabor Feature Based LogDemons with Inertial Constraint for Nonrigid Image Registration.

Nonrigid image registration plays an important role in the field of computer vision and medical application. The methods based on Demons algorithm for image registration usually use intensity difference as similarity criteria. However, intensity based methods can not preserve image texture details well and are limited by local minima.

Identification and validation of differentially expressed proteins in serum of CSU patients with different duration of wheals using an iTRAQ labeling, 2D-LC-MS/MS.

Chronic spontaneous urticaria (CSU) is one of the most common types of chronic urticaria (CU), with symptoms that recur easily, migrate and are refractory. It is unclear whether association between the differentiation of protein expression levels in the serum of CSU patients and the different duration of wheals exists. In the present study the samples were divided according to the duration of the wheals into group A (wheal duration <2 h) and group B (wheal duration 12-24 h).

Simultaneous Calibration: A Joint Optimization Approach for Multiple Kinect and External Cameras.

Camera calibration is a crucial problem in many applications, such as 3D reconstruction, structure from motion, object tracking and face alignment. Numerous methods have been proposed to solve the above problem with good performance in the last few decades. However, few methods are targeted at joint calibration of multi-sensors (more than four devices), which normally is a practical issue in the real-time systems.

Gain-of-function in (GAINA) for identifying functional genes in .

Background: Forward genetics approaches are not popularly applied in non-model plants due to their complex genomes, long life cycles, backward genetic studies etc. Researchers have to adopt reverse genetic methods to characterize gene functions in non-model plants individually, the efficiency of which is usually low.

Results: In this study, we report a gain-of-function in (GAINA) strategy which can be used for batch identification of functional genes in a plant species.

Functional Characterization of Hevea brasiliensis CRT/DRE Binding Factor 1 Gene Revealed Regulation Potential in the CBF Pathway of Tropical Perennial Tree.

Rubber trees (Hevea brasiliensis) are susceptible to low temperature and therefore are only planted in the tropical regions. In the past few decades, although rubber trees have been successfully planted in the northern margin of tropical area in China, they suffered from cold injury during the winter. To understand the physiological response under cold stress, we isolated a C-repeat binding factor 1 (CBF1) gene from the rubber tree.