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- 저자 : ( Xiaolei Liao ) (검색결과 3 건)
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Xiaolei Zhang,Xun Liao,Kaikai Mao,Peng Yang,Dongyang Li,Ehsan Ali,Hu Wan,Jian Hong Li 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.3
The whitebacked planthopper Sogatella furcifera (Horváth) is an important pest of rice throughout Asia. Application of chemical insecticide is the main approach to suppress the field populations of S. furcifera. In this study, neonicotinoid insecticide resistance in field populations of S. furcifera were evaluated. The results showed that some field populations of S. furcifera had developed moderate level of resistance to imidacloprid (RR =1.1–16.4), thiamethoxam (RR=0.8–14.9), dinotefuran (RR =1.2–16.6) and acetamiprid (RR =3.3–12.2), low level of resistance to nitenpyram (RR=1.1–9.5) and clothianidin (RR =1.3–8.7) in Central China. Moreover, there were an increasing trend in neonicotinoid insecticide resistance in the period 2011–2015. The results of current study may form the basis to identify and evaluate the resistance tendency of S. furcifera against neonicotinoid insecticides, which could make effective management recommendations to avoid further development of insecticide resistance in S. furcifera.
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OsBAK1 is involved in rice resistance to Xanthomonas oryzae pv. oryzae PXO99
Hualan Liao,Xiaorong Xiao,Xiuqiong Li,Yan Chen,Xiumei Fu,Daozhe Lin,Xiaolei Niu,Yinhua Chen,Chaozu He 한국식물생명공학회 2016 Plant biotechnology reports Vol.10 No.2
OsBAK1 gene belongs to a receptor like kinase gene family in rice and shares a highly conserved gene structure and sequence homology with Arabidopsis thaliana BAK1 gene. To investigate the role of OsBAK1 in rice immunity, the full-length cDNA of OsBAK1 was isolated by RT-PCR and the transgenic rice lines (over expression and RNA-interference lines) were generated using Agrobacterium-mediated transformation. The expression level of OsBAK1 was determined by q-PCR in overexpression and RNAi transgenic rice lines. Based on quantitative polymerase chain reaction (q-PCR) results, two overexpression lines and two RNAi lines were evaluated in bioassays for resistance to Xanthomonas oryzae pv. oryzae PXO99, the causal agent of rice bacterial blight disease. Pathogenicity bioassays showed overexpression OsBAK1 lines exhibited resistance to blight disease whereas OsBAK1 RNAi lines promoted susceptibility. Besides, OsBAK1 can complement the function of AtBAK1 in Arabidopsis bak1 protoplast, activating FRK1 expression, a marker gene in PTI signaling pathway, after treatment by flg22. Furthermore, the transcriptional level of OsBAK1 was induced significantly in rice by defense signaling molecules such as salicylic acid, jasmonic acid, and PXO99 inoculation. Our results illustrated OsBAK1 positively regulates plant defense against rice bacterium pathogen Xanthomonas oryzae pv. oryzae PXO99.
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( Rui Hao ),( Yan Qiang ),( Xiaolei Liao ),( Xiaofei Yan ),( Guohua Ji ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.
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