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Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs

Journal of Animal Science and Biotechnology 2024年第1期15卷 68-87页

作者： wencheng zong Jinbu Wang Runze Zhao Naiqi Niu Yanfang Su Ziping Hu Xin Liu Xinhua Hou Ligang Wang Lixian Wang Longchao Zhang State Key Laboratory of Animal Biotech Breeding Institute of Animal SciencesChinese Academy of Agricultural SciencesBeijing 100193China College of Animal Science Shanxi Agricultural UniversityJinzhong 030801China College of Animal Science and Technology Qingdao Agricultural UniversityQingdao 266109China

Background During approximately 10,000 years of domestication and selection,a large number of structural variations(SVs)have emerged in the genome of pig breeds,profoundly influencing their phenotypes and the ability to adapt to the local ***(≥50 bp)are widely distributed in the genome,mainly in the form of insertion(INS),mobile element insertion(MEI),deletion(DEL),duplication(DUP),inversion(INV),and translocation(TRA).While studies have investigated the SVs in pig genomes,genome-wide association studies(GWAS)-based on SVs have been rarely *** Here,we obtained a high-quality SV map containing 123,151 SVs from 15 Large White and 15 Min pigs through integrating the power of several SV tools,with 53.95%of the SVs being reported for the first *** high-quality SVs were used to recover the population genetic structure,confirming the accuracy of *** functional SV loci were then identified based on positional effects and breed ***,GWAS were performed for 36 traits by genotyping the screened potential causal loci in the F2 population according to their corresponding genomic *** identified a large number of loci involved in 8 carcass traits and 6 skeletal traits on chromosome 7,with FKBP5 containing the most significant SV locus for almost all *** addition,we found several significant loci in intramuscular fat,abdominal circumference,heart weight,and liver weight,*** We constructed a high-quality SV map using high-coverage sequencing data and then analyzed them by performing GWAS for 25 carcass traits,7 skeletal traits,and 4 meat quality traits to determine that SVs may affect body size between European and Chinese pig breeds.

关键词： Body size GWAS Pig Skeleton Structural variations

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Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs

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畜牧与生物技术杂志(英文版) 2024年第1期

作者： wencheng zong Jinbu Wang Runze Zhao Naiqi Niu Yanfang Su Ziping Hu Xin Liu Xinhua Hou Ligang Wang Lixian Wang Longchao Zhang

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北京黑猪GREB1L和MIB1基因多态性与肋骨数及胴体性状的关联分析

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畜牧兽医学报 2024年第1期55卷 79-86页

作者：牛乃琪赵润泽宗文成刘先策刘海石国华井西涛张龙超中国农业科学院北京畜牧兽医研究所北京100193 北京黑六牧业科技有限公司北京102211

旨在开展GREB 1L和MIB 1基因多态性与肋骨数和胴体性状(胴体长、胴体直长、胴体斜长及胴体重)关联分析,筛选关键功能位点。本研究选取屠宰日龄为215天的317头健康北京黑猪,并提取耳组织DNA,对GREB 1L和MIB 1基因进行引物设计、并利用聚... 详细信息

旨在开展GREB 1L和MIB 1基因多态性与肋骨数和胴体性状(胴体长、胴体直长、胴体斜长及胴体重)关联分析,筛选关键功能位点。本研究选取屠宰日龄为215天的317头健康北京黑猪,并提取耳组织DNA,对GREB 1L和MIB 1基因进行引物设计、并利用聚合酶链式反应(PCR)技术和Sanger测序技术等对SNPs进行基因分型,计算变异位点基因型频率以及等位基因频率分布,并与肋骨数和胴体性状进行关联分析。试验共筛选到6个SNPs,包括GREB 1L基因的3个同义突变、MIB 1基因的2个同义突变和1个内含子区的可变剪切突变。将6个SNPs分别对肋骨数和胴体性状使用Duncan’s多重检验统计分析发现,GREB 1L基因上的3个同义突变6:106574972 G>A、6:106648540 C>T、6:106648558 A>G与性状关联均不显著(P>0.05);MIB 1基因上的1个同义突变6:106936590 C>T与胴体长显著相关(PG可变剪切突变与肋骨数显著相关(PA与肋骨数和胴体性状均无显著差异(P>0.05)。结果显示,显著的2个位点可作为北京黑猪肋骨数及胴体长变异的候选基因功能位点。

关键词：北京黑猪 GREB 1L MIB 1 肋骨数胴体性状

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北京黑猪LPL和NUDT3基因多态性及其与肉质性状的关联分析

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中国畜牧兽医 2024年第3期51卷 1111-1121页

作者：苏艳芳牛乃琪宗文成刘先策刘海石国华井西涛张龙超中国农业科学院北京畜牧兽医研究所北京100193 北京黑六牧业科技有限公司北京102211

【目的】研究脂蛋白脂酶(lipoprteinlipase,LPL)和Nudix水解酶3(Nudix hydrolase homolog 3,NUDT3)基因多态性与北京黑猪肌内脂肪(intramuscular fat,IMF)含量和背膘厚的关联性,从而在分子水平上指导北京黑猪的育种工作。【方法】利用34... 详细信息

【目的】研究脂蛋白脂酶(lipoprteinlipase,LPL)和Nudix水解酶3(Nudix hydrolase homolog 3,NUDT3)基因多态性与北京黑猪肌内脂肪(intramuscular fat,IMF)含量和背膘厚的关联性,从而在分子水平上指导北京黑猪的育种工作。【方法】利用347头北京黑猪背最长肌样本进行IMF含量和背膘厚数据测定,按照IMF含量进行高、低分组。根据猪NUDT3和LPL基因序列设计引物并进行PCR扩增及测序,运用DNAStar软件中SeqMan分析测序结果,使用Duncan’s多重检验对2个基因不同基因型与北京黑猪IMF含量和背膘厚进行关联分析,并运用实时荧光定量PCR对其进行基因表达差异分析。【结果】LPL基因存在1个错义突变、3个同义突变和3个3′-UTR突变;NUDT3基因存在6个3′-UTR突变。LPL基因CDS区c.431 G>C位点与北京黑猪第6~7肋背膘厚显著相关,c.647 G>C位点与胸腰结合处背膘厚显著相关,c.637 A>G位点与第6~7肋背膘厚、胸腰结合处背膘厚和腰荐结合处背膘厚均显著相关(PG位点与胸腰结合处背膘厚显著相关,c.1689 C>A位点与IMF含量显著相关(PT位点与北京黑猪IMF含量和腰荐结合处背膘厚显著相关,c.6068 C>G位点与IMF含量和第6~7肋背膘厚显著相关,c.5729 G>A位点与IMF含量显著相关(PT位点IMF含量高、低组间表达量无显著差异,LPL基因c.1689 C>A位点CC与AA基因型间表达量无显著差异(P>0.05)。【结论】北京黑猪群体中LPL和NUDT3基因的突变位点与IMF含量显著关联,为北京黑猪肉品质选育提供了新的分子标记。

关键词：北京黑猪 NUDT3基因 LPL基因肉品质关联分析

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Advances in self-assembly-based circularly polarized luminescent materials

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Science China Chemistry 2024年第10期67卷 3247-3257页

作者： Bing-Hao Liu Yang zong Na Liu zong-Quan Wu State Key Laboratory of Supramolecular Structure and Materials College of ChemistryJilin University The School of Pharmaceutical Sciences Jilin University

Circularly polarized luminescent(CPL) materials have garnered attention for their diverse applications, including three-dimensional(3D) imaging, bio-imaging, chiral sensing, and other emerging fields. Traditionally, the fabrication of CPL-activated materials required the use of chiral luminescent small molecules. The introduction of the idea of self-assembly has transformed the production of CPL-activated materials, providing new and promising opportunities for their advancement. Through utilizing self-assembly, it is now feasible to produce chiral nano-assemblies with CPL activity not only from chiral molecules but also from non-chiral substances and inorganic nanoparticles. In addition, self-assembly routes provide a way to increase the asymmetry factor, creating possibilities for additional refinement and adjustment of CPL material characteristics. This review offers a summary of the current progress and developments in the self-assembly of small molecules and polymers, with a specific emphasis on their capacity to create or enhance CPL in different contexts. The aim of this review is to inspire interest in optical materials that are based on the principles of self-assembly.

关键词： circularly polarized luminescence photochemistry self-assembly chiral materials

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A Bio-inspired Mutual-hook Strategy for the Soft Finger to Improve Load-bearing Capacity and Grasping Stability

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Journal of Bionic Engineering 2024年第3期21卷 1290-1304页

作者： Jie Huang Lingjie Gai Xiaofeng zong Yunquan Li School of Automation China University of GeosciencesWuhan430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074China The Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou510641China

Soft grippers have great potential applications in daily life,since they can compliantly grasp soft and delicate ***,the highly elastic fingers of most soft grippers are prone to separate from each other while grasping objects due to their low stiffness,thus reducing the grasping stability and load-bearing *** tackle this problem,inspired from the venus flytrap plant,this work proposes a mutual-hook mechanism to restrain the separation and improve the grasping performance of soft *** novel soft gripper design consists of three modules,a soft finger-cot,two Soft Hook Actuators(SHAs)and two sliding ***,the soft finger-cot covers on the soft finger,increasing the contact area with the target object,two SHAs are fixed to the left and right sides of the finger-cot,and the sliding mechanisms are designed to make SHAs stretch *** demonstrate that the proposed design can restrain the separation of soft fingers substantially,and the soft fingers with the finger-cots can grasp objects three times heavier than the soft fingers without the proposed *** proposed design can provide invaluable insights for soft fingers to restrain the separation while grasping,thus improving the grasping stability and the load-bearing capacity.

关键词： Soft robotics Soft bionic finger-cot Soft hook actuator Grasping stability Load-bearing capacity

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Data-driven active vibration control for helicopter with trailing-edge flaps using adaptive dynamic programming

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Chinese Journal of Aeronautics 2024年第6期37卷 151-166页

作者： Yu CHEN Qun zong Xiuyun ZHANG Jinna LI School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China

The helicopter Trailing-Edge Flaps(TEFs)technology is one of the recent hot topics in morphing wing *** employing controlled deflection,TEFs can effectively reduce the vibration level of ***,designing specific vibration reduction control methods for the helicopters equipped with trailing-edge flaps is of significant practical *** paper studies the optimal control problem for helicopter-vibration systems with TEFs under the framework of adaptive dynamic programming combined with Reinforcement Learning(RL).Time-delay and disturbances,caused by complexity of helicopter dynamics,inevitably deteriorate the control performance of vibration *** solve this problem,a zero-sum game formulation with a linear quadratic form for reducing vibration of helicopter systems is presented with a virtual *** this context,an off-policy reinforcement learning algorithm is developed to determine the optimal control *** algorithm utilizes only vertical vibration load data to achieve a policy that reduces vibration,attains Nash equilibrium,and addresses disturbances while compensating for time-delay without knowledge of the dynamics of the helicopter *** effectiveness of the proposed method is demonstrated in a virtual platform.

关键词： Active control Adaptive dynamic program-ming Helicopter rotor Vibration control Zero-sum game

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Kriging Model Averaging Based on Leave-One-Out Cross-Validation Method

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Journal of Systems Science & Complexity 2024年第5期37卷 2132-2156页

作者： FENG Ziheng zong Xianpeng XIE Tianfa ZHANG Xinyu School of Mathematics Statistics and Mechanics Beijing University of Technology Academy of Mathematics and Systems Science Chinese Academy of Sciences

In recent years, Kriging model has gained wide popularity in various fields such as space geology, econometrics, and computer experiments. As a result, research on this model has *** this paper, the authors propose a model averaging estimation based on the best linear unbiased prediction of Kriging model and the leave-one-out cross-validation method, with consideration for the model uncertainty. The authors present a weight selection criterion for the model averaging estimation and provide two theoretical justifications for the proposed method. First, the estimated weight based on the proposed criterion is asymptotically optimal in achieving the lowest possible prediction ***, the proposed method asymptotically assigns all weights to the correctly specified models when the candidate model set includes these models. The effectiveness of the proposed method is verified through numerical analyses.

关键词： Asymptotic optimality best linear unbiased prediction cross-validation Kriging model model averaging

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Probabilistic seismic inversion based on physics-guided deep mixture density network

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Petroleum Science 2024年第3期21卷 1611-1631页

作者： Qian-Hao Sun Zhao-Yun zong Xin Li National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580ShandongChina Laoshan Laboratory Qingdao266580ShandongChina CNOOC Research Institute Ltd. Beijing100028China

Deterministic inversion based on deep learning has been widely utilized in model parameters *** by logging data,seismic data,wavelet and modeling operator,deterministic inversion based on deep learning can establish nonlinear relationships between seismic data and model ***,seismic data lacks low-frequency and contains noise,which increases the non-uniqueness of the *** conventional inversion method based on deep learning can only establish the deterministic relationship between seismic data and parameters,and cannot quantify the uncertainty of *** order to quickly quantify the uncertainty,a physics-guided deep mixture density network(PG-DMDN)is established by combining the mixture density network(MDN)with the deep neural network(DNN).Compared with Bayesian neural network(BNN)and network dropout,PG-DMDN has lower computing cost and shorter training time.A low-frequency model is introduced in the training process of the network to help the network learn the nonlinear relationship between narrowband seismic data and low-frequency *** addition,the block constraints are added to the PG-DMDN framework to improve the horizontal continuity of the inversion *** illustrate the benefits of proposed method,the PG-DMDN is compared with existing semi-supervised inversion *** synthetic data examples of Marmousi II model are utilized to quantify the influence of forward modeling part,low-frequency model,noise and the pseudo-wells number on inversion results,and prove the feasibility and stability of the proposed *** addition,the robustness and generality of the proposed method are verified by the field seismic data.

关键词： Deep learning Probabilistic inversion Physics-guided Deep mixture density network

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A new neural-network-based method for structural damage identification in single-layer reticulated shells

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Frontiers of Structural and Civil Engineering 2024年第1期18卷 104-121页

作者： Jindong ZHANG Xiaonong GUO Shaohan zong Yujian ZHANG College of Civil Engineering Tongji UniversityShanghai 200092China China Construction Eighth Engineering Division Co. Ltd.Shanghai 200135China

Single-layer reticulated shells(SLRSs)find widespread application in the roofs of crucial public structures,such as gymnasiums and exhibition *** this paper,a new neural-network-based method for structural damage identification in SLRSs is ***,a damage vector index,NDL,that is related only to the damage localization,is proposed for SLRSs,and a damage data set is constructed from NDL *** the basis of visualization of the NDL damage data set,the structural damaged region locations are identified using convolutional neural networks(CNNs).By cross-dividing the damaged region locations and using parallel CNNs for each regional location,the damaged region locations can be quickly and efficiently identified and the undamaged region locations can be ***,a damage vector index,DS,that is related to the damage location and damage degree,is proposed for *** on the damaged region identified previously,a fully connected neural network(FCNN)is constructed to identify the location and damage degree of *** effectiveness and reliability of the proposed method are verified by considering a numerical case of a spherical *** calculation results showed that the proposed method can quickly eliminate candidate locations of potential damaged region locations and precisely determine the location and damage degree of members.

关键词： single-layer reticulated shell damage identification neural network convolutional neural network cross-partitioning method

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