|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Genome-wide identification of agronomically important genes in outcrossing crops using OutcrossSeq显示文摘Many important crops(e.g.,tuber,root,and tree crops)are cross-pollinating.For these crops,no inbred lines are available for genetic study and breeding because they are self-incompatible,clonally propagated,or have a long generation time,making the identification of agronomically important genes difficult,particularly in crops with a complex autopolyploid genome.In this study,we developed a method,OutcrossSeq,for mapping agronomically important loci in outcrossing crops based on whole-genome low-coverage resequencing of a large genetic population,and designed three computation algorithms in OutcrossSeq for different types of outcrossing populations.We applied OutcrossSeq to a tuberous root crop(sweet potato,autopolyploid),a tree crop(walnut tree,highly heterozygous diploid),and hybrid crops(double-cross populations)to generate high-density genotype maps for the outcrossing populations,which enable precise identification of genomic loci underlying important agronomic traits.Candidate causative genes at these loci were detected based on functional clues.Taken together,our results indicate that OutcrossSeq is a robust and powerful method for identifying agronomically important genes in heterozygous species,including polyploids,in a cost-efficient way.The OutcrossSeq software and its instruction manual are available for downloading at www.xhhuanglab.cn/tool/OutcrossSeq.html. | Mengjiao Chen Weijuan Fan Feiyang Ji Hua Hua Jie Liu Mengxiao Yan Qingguo Ma Jiongjiong Fan Qin Wang Shufeng Zhang Guiling Liu Zhe Sun Changgeng Tian Fengling Zhao Jianli Zheng Qi Zhang Jiaxin Chen Jie Qiu Xin Wei Ziru Chen Peng Zhang Dong Pei Jun Yang Xuehui Huang | 2021 | Molecular Plant2021，14，4： | 4 |
| 2 | Alteration in Secondary Wall Deposition by Overexpression of the Fragile Fiber1 Kinesin-Like Protein in Arabidopsis显示文摘在纤维和容器的第二等的墙典型地在三不同的层被扔,它被纤维素 microfibriis.Although 的 successivere 取向形成外皮的微导管在这个过程被含有,为三不同的墙层的形成的内在的机制不被知道。易碎的 Fiberl (FRA1 ) kinesin-likeproteinhas 以前出现在 Arabidopsis thaliana 涉及为细胞壁力量重要的纤维素 microfibriisand 的面向的免职。在现在的报告,我们调查了 FRA1 基因的表示模式并且在第二等的墙免职上在表示上学习了 FRA1 的效果。FRA1 基因被发现在经历第二等的墙免职包括发展中的房间被表示不仅内部丛生的纤维和木部房间,而且在膨胀 / 伸长实质房间的 dividingcellsand。在第二等的墙的厚度引起严重减小在的 FRA1 的 Overexpression 内部容器的丛生的纤维和变丑,它伴有显著减少在起源力量。第二等的墙的仔细的检查不同于与最厚的中间的层有三典型的层的野类型的墙揭示了那,在 FRA1 overexpressors 的第二等的墙展出了层的一个增加的数字,所有哪个有类似的宽度。一起,这些结果提供含有的进一步的证据在订的免职的重要 roleofthe FRA1 象 kinesin 一样蛋白质第二等围,它决定纤维和容器的力量。 | Jianli Zhou Jia Qiu Zheng-Hua Ye | 2007 | Journal of Integrative Plant Biology2007，49，8： | 3 |
| 3 | Application of virtual instrument technology in high-speed parallel data acquisition system with preprocessing显示文摘 | Qiu Jianli Guan Lijuan | 1999 | Proceedings of the International Symposium on Test and Measurement1999，18，1： | 1 |
| 4 | QPSO-optimized BP Neural Net ork to Predict Occurrence Quantity of Myzus persicae显示文摘In order to effectively predict occurrence quantity of Myzus persicae,BP neural network theory and method was used to establish prediction model for occurrence quantity of M. persicae. Meanwhile,QPSO algorithm was used to optimize connection weight and threshold value of BP neural network,so as to determine the optimal connection weight and threshold value. The historical data of M. persica quantity in Hongta County,Yuxi City of Yunnan Province from 2003 to 2006 was adopted as training samples,and the occurrence quantities of M. persicae from 2007 to 2009 were predicted. The prediction accuracy was 99. 35%,the minimum completion time was 30 s,the average completion time was 34. 5 s,and the running times were 19. The prediction effect of the model was obviously superior to other prediction models. The experiment showed that this model was more effective and feasible,with faster convergence rate and stronger stability,and could solve the similar problems in prediction and clustering. The study provides a theoretical basis for comprehensive prevention and control against M. persicae. | Qiu Jing Yang Yi Qin Xiyun Li Kunlin Chen Keping Yin Jianli | 2015 | Plant Diseases and Pests2015，6，1： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员