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| 1 | Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)显示文摘Passion fruit(Passiflora edulis Sims)is an economically valuable fruit that is cultivated in tropical and subtropical regions of the world.Here,we report an~1341.7Mb chromosome-scale genome assembly of passion fruit,with 98.91%(~1327.18Mb)of the assembly assigned to nine pseudochromosomes.The genome includes 23,171 protein-coding genes,and most of the assembled sequences are repetitive sequences,with long-terminal repeats(LTRs)being the most abundant.Phylogenetic analysis revealed that passion fruit diverged after Brassicaceae and before Euphorbiaceae.Ks analysis showed that two whole-genome duplication events occurred in passion fruit at 65 MYA and 12 MYA,which may have contributed to its large genome size.An integrated analysis of genomic,transcriptomic,and metabolomic data showed that‘alpha-linolenic acid metabolism’,‘metabolic pathways’,and‘secondary metabolic pathways’were the main pathways involved in the synthesis of important volatile organic compounds(VOCs)in passion fruit,and this analysis identified some candidate genes,including GDP-fucose Transporter 1-like,Tetratricopeptide repeat protein 33,protein NETWORKED 4B isoform X1,and Golgin Subfamily A member 6-like protein 22.In addition,we identified 13 important gene families in fatty acid pathways and eight important gene families in terpene pathways.Gene family analysis showed that the ACX,ADH,ALDH,and HPL gene families,especially ACX13/14/15/20,ADH13/26/33,ALDH1/4/21,and HPL4/6,were the key genes for ester synthesis,while the TPS gene family,especially PeTPS2/3/4/24,was the key gene family for terpene synthesis.This work provides insights into genome evolution and flavor trait biology and offers valuable resources for the improved cultivation of passion fruit. | Zhiqiang Xia Dongmei Huang Shengkui Zhang Wenquan Wang Funing Ma Bin Wu Yi Xu Bingqiang Xu Di Chen Meiling Zou Huanyu Xu Xincheng Zhou Rulin Zhan Shun Song | 2021 | Horticulture Research2021，8，1： | 15 |
| 2 | Fractal characteristics of shales from a shale gas reservoir in the Sichuan Basin,China显示文摘 | YANG Feng ZHANG Funing LIU Huiqing | 2014 | Fuel2014，115，： | 1 |
| 3 | 新型可遗传编码的荧光探针实现在果蝇、斑马鱼和小鼠中快速特异地示踪多巴胺显示文摘文章简介多巴胺是神经系统中一种重要的单胺类神经递质,它介导了一系列重要的生理、病理过程。如何在自由活动的动物脑中特异、精准地示踪特定时间、区域的多巴胺释放是长期以来困扰神经科学家的技术难题。 | 孙芳妙 曾健智 井淼 Jingheng Zhou 冯杰思 Scott F.Owen 骆奕辰 Funing Li 王欢 Takashi Yamaguchi 雍自昊 Yijing Gao Wanling Peng Lizhao Wang Siyu Zhang Jiulin Du Dayu Lin Min Xu Anatol C.Kreitzer Guohong Cui 李毓龙 | 2019 | 科学新闻2019，0，2： | 1 |
| 4 | UAV Frequency-based Crowdsensing Using Grouping Multi-agent Deep Reinforcement Learning显示文摘Mobile CrowdSensing(MCS)is a promising sensing paradigm that recruits users to cooperatively perform sensing tasks.Recently,unmanned aerial vehicles(UAVs)as the powerful sensing devices are used to replace user participation and carry out some special tasks,such as epidemic monitoring and earthquakes rescue.In this paper,we focus on scheduling UAVs to sense the task Point-of-Interests(PoIs)with different frequency coverage requirements.To accomplish the sensing task,the scheduling strategy needs to consider the coverage requirement,geographic fairness and energy charging simultaneously.We consider the complex interaction among UAVs and propose a grouping multi-agent deep reinforcement learning approach(G-MADDPG)to schedule UAVs distributively.G-MADDPG groups all UAVs into some teams by a distance-based clustering algorithm(DCA),then it regards each team as an agent.In this way,G-MADDPG solves the problem that the training time of traditional MADDPG is too long to converge when the number of UAVs is large,and the trade-off between training time and result accuracy could be controlled flexibly by adjusting the number of teams.Extensive simulation results show that our scheduling strategy has better performance compared with three baselines and is flexible in balancing training time and result accuracy. | Cui ZHANG En WANG Funing YANG Yong jian YANG Nan JIANG | 2023 | 计算机科学2023，50，2： | 0 |
| 5 | Efficient nanozyme engineering for antibacterial therapy显示文摘Antimicrobial resistance(AMR)poses a huge threat to human health.It is urgent to explore efficient ways to suppress the spread of AMR.Antibacterial nanozymes have become one of the powerful weapons to combat AMR due to their enzyme-like catalytic activity with a broad-spectrum antibacterial performance.However,the inherent low catalytic activity of nanozymes limits their expansion into antibacterial applications.In this regard,a variety of advanced chemical design strategies have been developed to improve the antimicrobial activity of nanozymes.In this review,we have summarized the recent progress of advanced strategies to engineer efficient nanozymes for fighting against AMR,which can be mainly classified as catalytic activity improvement,external stimuli,bacterial affinity enhancement,and multifunctional platform construction according to the basic principles of engineering efficient nanocatalysts and the mechanism of nanozyme catalysis.Moreover,the deep insights into the effects of these enhancing strategies on the nanozyme structures and properties are highlighted.Finally,current challenges and future perspectives of antibacterial nanozymes are discussed for their future clinical potential. | Yonghai Feng Funing Chen Jessica M Rosenholm Lei Liu Hongbo Zhang | 2022 | Materials Futures2022，1，2： | 0 |
| 6 | Investigating the cellular functions of β-Glucosidases for synthesis of lignocellulose-degrading enzymes in Trichoderma reesei显示文摘β-glucosidases play an important role in the synthesis of cellulase in fungi,but their molecular functions and mechanisms remain unknown.We found that the 10 putativeβ-glucosidases investigated in Trichoderma ree-sei facilitate cellulase production,with cel3j being the most crucial.Transcriptional analysis revealed that the most affected biological processes in△cel3j strain were cellulase synthesis,ribosome biogenesis,and RNA poly-merases.Moreover,CEL3J was unconventionally transported through the endoplasmic reticulum,bypassing the Golgi apparatus,whereas cel3j overexpression altered cellulase secretion from conventional to unconventional,likely owing to the activated unconventional protein secretion pathway(UPS),as indicated by the upregulation of genes related to UPS.The mTORC1-GRASP55 signaling axis may modulate the unconventional secretion of CEL3J and cellulase.The transcriptional levels of genes associated with DNA replication,the cell cycle,and meiosis were noticeably affected by overexpressing cel3j.These data give new clues for exploring the roles ofβ-glucosidases and the molecular mechanisms of their unconventional secretion in fungi. | Ai-Ping Pang Haiyan Wang Yongsheng Luo Funing Zhang Fu-Gen Wu Zhihua Zhou Zuhong Lu Fengming Lin | 2023 | Engineering Microbiology2023，3，4： | 0 |
| 7 | Maximum-Profit Advertising Strategy Using Crowdsensing Trajectory Data显示文摘Out-door billboard advertising plays an important role in attracting potential customers.However,whether a customer can be attracted is influenced by many factors,such as the probability that he/she sees the billboard,the degree of his/her interest,and the detour distance for buying the product.Taking the above factors into account,we propose advertising strategies for selecting an effective set of billboards under the advertising budget to maximize commercial profit.By using the data collected by Mobile Crowdsensing(MCS),we extract potential customers’implicit information,such as their trajectories and preferences.We then study the billboard selection problem under two situations,where the advertiser may have only one or multiple products.When only one kind of product needs advertising,the billboard selection problem is formulated as the probabilistic set coverage problem.We propose two heuristic advertising strategies to greedily select advertising billboards,which achieves the expected maximum commercial profit with the lowest cost.When the advertiser has multiple products,we formulate the problem as searching for an optimal solution and adopt the simulated annealing algorithm to search for global optimum instead of local optimum.Extensive experiments based on three real-world data sets verify that our proposed advertising strategies can achieve the superior commercial profit compared with the state-of-the-art strategies. | LOU Kaihao YANG Yongjian YANG Funing ZHANG Xingliang | 2021 | ZTE Communications2021，19，2： | 0 |
| 8 | Research progress on the MYB transcription factors in tropical fruit显示文摘Tropical fruits,such as bananas,passion fruit,mangoes,and lychees,are rich in vitamins,flavonoids and non-flavonoid phenols,and are the healthiest way to intake bioactive compounds in one's daily diet.Coupled with their unique taste,tropical fruits are becoming more increasingly popular.The production of bananas is second only after grapes,while other tropical fruit are limited by the planting environment,resulting in a relatively low planting area and yield.With the improvement in breeding technology and planting technology,the development of tropical fruit crops will have broad prospects.MYB plays a major regulatory role in several biological processes,including growth and development of plants,quality formation,and stress resistance.There is a comparatively junior level of research on tropical fruit crops compared to grain fruit and model plants.Despite the progress that has been made in the development of molecular biology methods that can transform the genetic makeup of tropical fruit crops,the functional understanding of the multiple MYB genes is still in its initial stages.This paper aims to review the current status of the research on the development of these genes and their prospects.It is expected to provide a reference for the study of MYB transcription factors in tropical fruit crops and to provide new ideas for the functional resolution of MYB transcription factors in different biological processes. | Yanshu Zhang Yi Xu Dongmei Huang Wenting Xing Bin Wu Qing Wei Yongyan Xu Rulin Zhan Funing Ma Shun Song | 2022 | Tropical Plants2022，1，1： | 0 |
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