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OsBLS6.2:A rice bacterial leaf streak resistance gene identified by GWAS and RNA-seq
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作者 Huabin Xie Chunzi Lin +10 位作者 Wenyu Lu Zhikai Han Danhong Wei Xing Huo Tianjiao Li Jian Zhang yongqiang he Chun Chen Hui Wang Tao Guo Jiafeng Wang 《The Crop Journal》 SCIE CSCD 2023年第6期1862-1871,共10页
Bacterial leaf streak(BLS),caused by Xanthomonas oryzae pv.oryzicola(Xoc),is a bacterial disease affecting rice production in Asia and Africa,whose severity is expected to increase with climate change.Identification o... Bacterial leaf streak(BLS),caused by Xanthomonas oryzae pv.oryzicola(Xoc),is a bacterial disease affecting rice production in Asia and Africa,whose severity is expected to increase with climate change.Identification of new quantitative-trait loci(QTL)or resistance genes for BLS resistance is essential for developing resistant rice.A genome-wide association study to identify QTL associated with BLS resistance was conducted using phenotypic and genotypic data from 429 rice accessions.Of 47 QTL identified,45 were novel and two co-localized with previously reported QTL or genes conferring BLS resistance.qBLS6.2 on chromosome 6 explained the greatest phenotypic variation.Combined analysis of differential expression and annotations of predicted genes near qBLS6.2 based on haplotype and disease phenotype identified OsBLS6.2(LOC_Os06g02960)as a candidate gene for qBLS6.2.OsBLS6.2 knockout plants showed higher resistance to Xoc than wild-type plants.Many other candidate genes for resistance to Xoc were identified. 展开更多
关键词 RICE Bacterial leaf streak Xanthomonas oryzae pv.oryzicola Genome-wide association study RNA sequencing
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A High-Quality Adaptive Video Reconstruction Optimization Method Based on Compressed Sensing
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作者 Yanjun Zhang yongqiang he +3 位作者 Jingbo Zhang Yaru Zhao Zhihua Cui Wensheng Zhang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第10期363-383,共21页
The video compression sensing method based onmulti hypothesis has attracted extensive attention in the research of video codec with limited resources.However,the formation of high-quality prediction blocks in the mult... The video compression sensing method based onmulti hypothesis has attracted extensive attention in the research of video codec with limited resources.However,the formation of high-quality prediction blocks in the multi hypothesis prediction stage is a challenging task.To resolve this problem,this paper constructs a novel compressed sensing-based high-quality adaptive video reconstruction optimizationmethod.Itmainly includes the optimization of prediction blocks(OPBS),the selection of searchwindows and the use of neighborhood information.Specifically,the OPBS consists of two parts:the selection of blocks and the optimization of prediction blocks.We combine the high-quality optimization reconstruction of foreground block with the residual reconstruction of the background block to improve the overall reconstruction effect of the video sequence.In addition,most of the existing methods based on predictive residual reconstruction ignore the impact of search windows and reference frames on performance.Therefore,Block-level search window(BSW)is constructed to cover the position of the optimal hypothesis block as much as possible.To maximize the availability of reference frames,Nearby reference frame information(NRFI)is designed to reconstruct the current block.The proposed method effectively suppresses the influence of the fluctuation of the prediction block on reconstruction and improves the reconstruction performance.Experimental results showthat the proposed compressed sensing-based high-quality adaptive video reconstruction optimization method significantly improves the reconstruction performance in both objective and supervisor quality. 展开更多
关键词 Compressed sensing OPBS block-level search window nearby reference frame information evolutionary algorithm
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Biogenic amines detection in meat and meat products:the mechanisms,applications,and future trends 被引量:1
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作者 Yanan Liu yongqiang he +5 位作者 Huan Li Donghui Jia Linglin Fu Jian Chen Dequan Zhang Yanbo Wang 《Journal of Future Foods》 2024年第1期21-36,共16页
Biogenic amine is one of the main categories of hazardous compounds in meat and meat products,making its detection methods vital for the assurance of edible safety.In this sense,many biogenic amine detection technique... Biogenic amine is one of the main categories of hazardous compounds in meat and meat products,making its detection methods vital for the assurance of edible safety.In this sense,many biogenic amine detection techniques such as chromatographic,electrophoretic,and electrochemical methods have been developed,which play an irreplaceable role in ensuring the safety of meat and meat products.Due to the increasing demand for fast and on-site detection techniques,visual detection methods have been gradually developed compared with non-visual methods such as chromatography and electrophoresis.Herein,we comprehensively review the mechanism and the latest progress of these biogenic amine detection methods;besides,we put forward the prospects for the future development of biogenic amine detection techniques,with a view to providing support for the establishment of more accurate and efficient detection,prevention and control strategies of biogenic amines. 展开更多
关键词 Biogenic amines Meat and meat products Food safety Non-visual detection techniques Visual detection techniques
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Verification of Bacteroidales 16S rRNA markers as a complementary tool for detecting swine fecal pollution in the Yangtze Delta 被引量:2
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作者 Lihua Fan Xiaofeng Zhang +4 位作者 Ruoxue Zeng Suhua Wang Chenchen Jin yongqiang he Jiangbing Shuai 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2020年第4期59-66,共8页
To correctly assess and properly manage the public health risks associated with exposure to contaminated water,it is necessary to identify the source of fecal pollution in a watershed.In this study,we evaluated the ef... To correctly assess and properly manage the public health risks associated with exposure to contaminated water,it is necessary to identify the source of fecal pollution in a watershed.In this study,we evaluated the efficacy of our two previously developed real time-quantitative PCR(qPCR)assays for the detection of swine-associated Bacteroidales genetic markers(gene 1-38,gene 3-53)in the Yangtze Delta watershed of southeastern China.The results indicated that the gene 1-38 and 3-53 markers exhibited high accuracy(92.5%,91.7%conditional probability,respectively)in detecting Bacteroidales spp.in water samples.According to binary logistic regression(BLR),these two swine-associated markers were well correlated(P<0.05)with fecal indicators(Escherichia coli and Enterococci spp.)and zoonotic pathogens(E.coli O157:H7,Salmonella spp.and Campylobacter spp.)in water samples.In contrast,concentrations of conventional fecal indicator bacteria(FIB)were not correlated with zoonotic pathogens,suggesting that they are noneffective at detecting fecal pollution events.Collectively,the results obtained in this study demonstrated that a swinetargeted qPCR assay based on two Bacteroidales genes markers(gene 1-38,gene 3-53)could be a useful tool in determining the swine-associated impacts of fecal contamination in a watershed. 展开更多
关键词 Bacteroidales genes markers Water pollution Real-time quantitative PCR Fecal indicators Zoonotic pathogens
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十字花科黑腐病菌Ⅲ型效应物XopXccR1植物亚细胞定位
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作者 冯艳茹 高亚君 +2 位作者 杭小红 何勇强 姜伯乐 《微生物学报》 CAS CSCD 北大核心 2020年第11期2572-2581,共10页
【目的】植物病原细菌通过Ⅲ型分泌系统(type Ⅲ secretion system,T3SS)将Ⅲ型效应物(type Ⅲ secreted effectors,T3SEs)分泌转运到宿主细胞的不同位点上,进而行使不同的致病功能。本研究旨在确定Xcc 8004 Ⅲ型效应物中分子量最大的蛋... 【目的】植物病原细菌通过Ⅲ型分泌系统(type Ⅲ secretion system,T3SS)将Ⅲ型效应物(type Ⅲ secreted effectors,T3SEs)分泌转运到宿主细胞的不同位点上,进而行使不同的致病功能。本研究旨在确定Xcc 8004 Ⅲ型效应物中分子量最大的蛋白XopXccR1在植物中的亚细胞定位。【方法】利用生物信息学方法分析XopXccR1的跨膜信息。通过同源重组方法将XopXccR1全长、N端(1–1220aa)和C端(1221–2030 aa)分别克隆到植物表达载体pCAMBIA-2300-35S::EGFP上,利用根癌农杆菌介导的瞬时表达浸染本生烟,通过激光共聚焦显微镜观察亚细胞定位结果。【结果】XopXccR1全长和N端定位在本生烟细胞膜上,而C端定位在细胞质中。【结论】XopXccR1的N端与C端可能分别存在定位信号,N端信号主导全长蛋白的最终定位。 展开更多
关键词 十字花科黑腐病菌 Ⅲ型效应物 XopXccR1 亚细胞定位
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