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7 results on '"X.R. Lu"'

1. Signatures of selection reveal candidate genes involved in production traits in Chinese crossbred buffaloes

Author

T.X. Deng, X.Y. Ma, X.R. Lu, A.Q. Duan, Borhan Shokrollahi, and J.H. Shang

Subjects
crossbred buffalo, milk performance, signature of selection, Dairy processing. Dairy products, SF250.5-275, Dairying, SF221-250
Abstract

ABSTRACT: Identification of selection signature is important for a better understanding of genetic mechanisms that affect phenotypic differentiation in livestock. However, the genome-wide selection responses have not been investigated for the production traits of Chinese crossbred buffaloes. In this study, an SNP data set of 133 buffaloes (Chinese crossbred buffalo, n = 45; Chinese local swamp buffalo, n = 88) was collected from the Dryad Digital Repository database (https://datadryad.org/stash/). Population genetics analysis showed that these buffaloes were divided into the following 2 groups: crossbred buffalo and swamp buffalo. The crossbred group had higher genetic diversity than the swamp group. Using 3 complementary statistical methods (integrated haplotype score, cross population extended haplotype homozygosity, and composite likelihood ratio), a total of 31 candidate selection regions were identified in the Chinese crossbred population. Here, within these candidate regions, 25 genes were under the putative selection. Among them, several candidate genes were reported to be associated with production traits. In addition, we identified 13 selection regions that overlapped with bovine QTLs that were mainly involved in milk production and composition traits. These results can provide useful insights regarding the selection response for production traits of Chinese crossbred buffalo, as identified candidate genes influence production performance.

Published
2022
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2. Signatures of selection reveal candidate genes involved in production traits in Chinese crossbred buffaloes

Author

T.X. Deng, X.Y. Ma, X.R. Lu, A.Q. Duan, Borhan Shokrollahi, and J.H. Shang

Subjects
China, Phenotype, Buffaloes, Homozygote, Quantitative Trait Loci, Genetics, Animals, Animal Science and Zoology, Cattle, Polymorphism, Single Nucleotide, Food Science
Abstract

Identification of selection signature is important for a better understanding of genetic mechanisms that affect phenotypic differentiation in livestock. However, the genome-wide selection responses have not been investigated for the production traits of Chinese crossbred buffaloes. In this study, an SNP data set of 133 buffaloes (Chinese crossbred buffalo, n = 45; Chinese local swamp buffalo, n = 88) was collected from the Dryad Digital Repository database (https://datadryad.org/stash/). Population genetics analysis showed that these buffaloes were divided into the following 2 groups: crossbred buffalo and swamp buffalo. The crossbred group had higher genetic diversity than the swamp group. Using 3 complementary statistical methods (integrated haplotype score, cross population extended haplotype homozygosity, and composite likelihood ratio), a total of 31 candidate selection regions were identified in the Chinese crossbred population. Here, within these candidate regions, 25 genes were under the putative selection. Among them, several candidate genes were reported to be associated with production traits. In addition, we identified 13 selection regions that overlapped with bovine QTLs that were mainly involved in milk production and composition traits. These results can provide useful insights regarding the selection response for production traits of Chinese crossbred buffalo, as identified candidate genes influence production performance.

Published
2021

3. Genome-wide analysis reveals genetic diversity, linkage disequilibrium, and selection for milk production traits in Chinese buffalo breeds

Author

Tingxian Deng, X.R. Lu, Hamdy Abdel-Shafy, A.Q. Duan, X.Y. Ma, H. E. Rushdi, S.S. Liang, W.Q. Li, and X.W. Liang

Subjects
Linkage disequilibrium, China, Heterozygote, Buffaloes, Population, Zoology, Population genetics, Biology, Runs of Homozygosity, Breeding, Swamp, Linkage Disequilibrium, Genetics, Animals, Inbreeding, education, Genetic diversity, education.field_of_study, geography, geography.geographical_feature_category, Genome, Homozygote, Genetic Variation, Genomics, Breed, Genetics, Population, Milk, Phenotype, Animal Science and Zoology, Female, Food Science
Abstract

The water buffalo is an important dual-purpose livestock that is widespread throughout central and southern China. However, there has been no characterization of the population genetics of Chinese buffalo. Using an Axiom buffalo genotyping array (Thermo Fisher Scientific, Wilmington, DE), we analyzed the genetic diversity, linkage disequilibrium pattern, and signature of selection in 176 Chinese buffaloes from 13 breeds. A total of 35,547 SNP passed quality control and were used for further analyses. Population genetic analysis revealed a clear separation between swamp and river types. Ten Chinese indigenous breeds were clustered into the swamp group, the Murrah and Nili-Ravi breeds were clustered into the river group, and the crossbred breed was closer to the river group. Genetic diversity analysis showed that the swamp group had a lower average expected heterozygosity. Linkage disequilibrium decay distance was much shorter in the swamp group compared with the river group, with an average square of correlation coefficient value of 0.2 of approximately 50 kb. Analysis of runs of homozygosity indicated extensive remote and recent inbreeding within swamp and river groups, respectively. Moreover, one genomic region under selection was detected between the river and swamp groups. Our findings contribute to our understanding of the characterization of population genetics in Chinese buffaloes, which in turn may be used in buffalo breeding programs.

Published
2019

4. Precision measurement of the branching fractions of J/ψ→π+π−π0 and ψ′→π+π−π0

Author

M. Ablikim, M.N. Achasov, D. Alberto, D.J. Ambrose, F.F. An, Q. An, Z.H. An, J.Z. Bai, R.B.F. Baldini Ferroli, Y. Ban, J. Becker, N. Berger, M.B. Bertani, J.M. Bian, E. Boger, O. Bondarenko, I. Boyko, R.A. Briere, V. Bytev, X. Cai, A.C. Calcaterra, G.F. Cao, J.F. Chang, G. Chelkov, G. Chen, H.S. Chen, J.C. Chen, M.L. Chen, S.J. Chen, Y. Chen, Y.B. Chen, H.P. Cheng, Y.P. Chu, D. Cronin-Hennessy, H.L. Dai, J.P. Dai, D. Dedovich, Z.Y. Deng, I. Denysenko, M. Destefanis, W.M. Ding, Y. Ding, L.Y. Dong, M.Y. Dong, S.X. Du, J. Fang, S.S. Fang, C.Q. Feng, C.D. Fu, J.L. Fu, Y. Gao, C. Geng, K. Goetzen, W.X. Gong, M. Greco, M.H. Gu, Y.T. Gu, Y.H. Guan, A.Q. Guo, L.B. Guo, Y.P. Guo, Y.L. Han, X.Q. Hao, F.A. Harris, K.L. He, M. He, Z.Y. He, Y.K. Heng, Z.L. Hou, H.M. Hu, J.F. Hu, T. Hu, B. Huang, G.M. Huang, J.S. Huang, X.T. Huang, Y.P. Huang, T. Hussain, C.S. Ji, Q. Ji, X.B. Ji, X.L. Ji, L.K. Jia, L.L. Jiang, X.S. Jiang, J.B. Jiao, Z. Jiao, D.P. Jin, S. Jin, F.F. Jing, N. Kalantar-Nayestanaki, M. Kavatsyuk, W. Kuehn, W. Lai, J.S. Lange, J.K.C. Leung, C.H. Li, Cheng Li, Cui Li, D.M. Li, F. Li, G. Li, H.B. Li, J.C. Li, K. Li, Lei Li, N.B. Li, Q.J. Li, S.L. Li, W.D. Li, W.G. Li, X.L. Li, X.N. Li, X.Q. Li, X.R. Li, Z.B. Li, H. Liang, Y.F. Liang, Y.T. Liang, G.R. Liao, X.T. Liao, B.J. Liu, C.L. Liu, C.X. Liu, C.Y. Liu, F.H. Liu, Fang Liu, Feng Liu, H. Liu, H.B. Liu, H.H. Liu, H.M. Liu, H.W. Liu, J.P. Liu, K. Liu, K.Y. Liu, Q. Liu, S.B. Liu, X. Liu, X.H. Liu, Y.B. Liu, Yong Liu, Z.A. Liu, Zhiqiang Liu, Zhiqing Liu, H. Loehner, G.R. Lu, H.J. Lu, J.G. Lu, Q.W. Lu, X.R. Lu, Y.P. Lu, C.L. Luo, M.X. Luo, T. Luo, X.L. Luo, M. Lv, C.L. Ma, F.C. Ma, H.L. Ma, Q.M. Ma, S. Ma, T. Ma, X.Y. Ma, M. Maggiora, Q.A. Malik, H. Mao, Y.J. Mao, Z.P. Mao, J.G. Messchendorp, J. Min, T.J. Min, R.E. Mitchell, X.H. Mo, N.Yu. Muchnoi, Y. Nefedov, I.B. Nikolaev, Z. Ning, S.L. Olsen, Q. Ouyang, S.P. Pacetti, J.W. Park, M. Pelizaeus, K. Peters, J.L. Ping, R.G. Ping, R. Poling, C.S.J. Pun, M. Qi, S. Qian, C.F. Qiao, X.S. Qin, Z.H. Qin, J.F. Qiu, K.H. Rashid, G. Rong, X.D. Ruan, A. Sarantsev, J. Schulze, M. Shao, C.P. Shen, X.Y. Shen, H.Y. Sheng, M.R. Shepherd, X.Y. Song, S. Spataro, B. Spruck, D.H. Sun, G.X. Sun, J.F. Sun, S.S. Sun, X.D. Sun, Y.J. Sun, Y.Z. Sun, Z.J. Sun, Z.T. Sun, C.J. Tang, X. Tang, E.H. Thorndike, H.L. Tian, D. Toth, M.U. Ulrich, G.S. Varner, B. Wang, B.Q. Wang, K. Wang, L.L. Wang, L.S. Wang, M. Wang, P. Wang, P.L. Wang, Q. Wang, Q.J. Wang, S.G. Wang, X.F. Wang, X.L. Wang, Y.D. Wang, Y.F. Wang, Y.Q. Wang, Z. Wang, Z.G. Wang, Z.Y. Wang, D.H. Wei, Q.G. Wen, S.P. Wen, M.W. Werner, U. Wiedner, L.H. Wu, N. Wu, W. Wu, Z. Wu, L.G. Xia, Z.J. Xiao, Y.G. Xie, Q.L. Xiu, G.F. Xu, G.M. Xu, H. Xu, Q.J. Xu, X.P. Xu, Y. Xu, Z.R. Xu, F. Xue, Z. Xue, L. Yan, W.B. Yan, Y.H. Yan, H.X. Yang, T. Yang, Y. Yang, Y.X. Yang, H. Ye, M. Ye, M.H. Ye, B.X. Yu, C.X. Yu, S.P. Yu, C.Z. Yuan, W.L. Yuan, Y. Yuan, A.A. Zafar, A.Z. Zallo, Y. Zeng, B.X. Zhang, B.Y. Zhang, C.C. Zhang, D.H. Zhang, H.H. Zhang, H.Y. Zhang, J. Zhang, J.Q. Zhang, J.W. Zhang, J.Y. Zhang, J.Z. Zhang, L. Zhang, S.H. Zhang, T.R. Zhang, X.J. Zhang, X.Y. Zhang, Y. Zhang, Y.H. Zhang, Y.S. Zhang, Z.P. Zhang, Z.Y. Zhang, G. Zhao, H.S. Zhao, Jingwei Zhao, Lei Zhao, Ling Zhao, M.G. Zhao, Q. Zhao, S.J. Zhao, T.C. Zhao, X.H. Zhao, Y.B. Zhao, Z.G. Zhao, A. Zhemchugov, B. Zheng, J.P. Zheng, Y.H. Zheng, Z.P. Zheng, B. Zhong, J. Zhong, L. Zhou, X.K. Zhou, X.R. Zhou, C. Zhu, K. Zhu, K.J. Zhu, S.H. Zhu, X.L. Zhu, X.W. Zhu, Y.S. Zhu, Z.A. Zhu, J. Zhuang, B.S. Zou, J.H. Zou, and J.X. Zuo

Subjects
Physics, Nuclear and High Energy Physics, Meson, 010308 nuclear & particles physics, Branching fraction, Electron–positron annihilation, Analytical chemistry, Dalitz plot, Branching (polymer chemistry), 01 natural sciences, Nuclear physics, 0103 physical sciences, Pi, Mass spectrum, 010306 general physics
Abstract

We study the decays of the J / ψ and ψ ′ mesons to π + π − π 0 using data samples at both resonances collected with the BES III detector in 2009. We measure the corresponding branching fractions with unprecedented precision and provide mass spectra and Dalitz plots. The branching fraction for J / ψ → π + π − π 0 is determined to be ( 2.137 ± 0.004 ( stat. ) − 0.056 + 0.058 ( syst. ) − 0.026 + 0.027 ( norm. ) ) × 10 − 2 , and the branching fraction for ψ ′ → π + π − π 0 is measured as ( 2.14 ± 0.03 ( stat. ) − 0.07 + 0.08 ( syst. ) − 0.08 + 0.09 ( norm. ) ) × 10 − 4 . The J / ψ decay is found to be dominated by an intermediate ρ ( 770 ) state, whereas the ψ ′ decay is dominated by di-pion masses around 2.2 GeV/ c 2 , leading to strikingly different Dalitz distributions.

Published
2012

5. Design and construction of the BESIII detector

Author

M. Ablikim, Z.H. An, J.Z. Bai, Niklaus Berger, J.M. Bian, X. Cai, G.F. Cao, X.X. Cao, J.F. Chang, C. Chen, G. Chen, H.C. Chen, H.X. Chen, J. Chen, J.C. Chen, L.P. Chen, P. Chen, X.H. Chen, Y.B. Chen, M.L. Chen, Y.P. Chu, X.Z. Cui, H.L. Dai, Z.Y. Deng, M.Y. Dong, S.X. Du, Z.Z. Du, J. Fang, C.D. Fu, C.S. Gao, M.Y. Gong, W.X. Gong, S.D. Gu, B.J. Guan, J. Guan, Y.N. Guo, J.F. Han, K.L. He, M. He, X. He, Y.K. Heng, Z.L. Hou, H.M. Hu, T. Hu, B. Huang, J. Huang, S.K. Huang, Y.P. Huang, Q. Ji, X.B. Ji, X.L. Ji, L.K. Jia, L.L. Jiang, X.S. Jiang, D.P. Jin, S. Jin, Y. Jin, Y.F. Lai, G.K. Lei, F. Li, G. Li, H.B. Li, H.S. Li, J. Li, J.C. Li, Q.J. Li, L. Li, R.B. Li, R.Y. Li, W.D. Li, W.G. Li, X.N. Li, X.P. Li, X.R. Li, Y.R. Li, W. Li, D.X. Lin, B.J. Liu, C.X. Liu, F. Liu, G.M. Liu, H. Liu, H.M. Liu, H.W. Liu, J.B. Liu, L.F. Liu, Q. Liu, Q.G. Liu, S.D. Liu, W.J. Liu, X. Liu, X.Z. Liu, Y. Liu, Y.J. Liu, Z.A. Liu, Z.Q. Liu, Z.X. Liu, J.G. Lu, T. Lu, Y.P. Lu, X.L. Luo, H.L. Ma, Q.M. Ma, X. Ma, X.Y. Ma, Z.P. Mao, J. Min, X.H. Mo, J. Nie, Z.D. Nie, R.G. Ping, S. Qian, Q. Qiao, G. Qin, Z.H. Qin, J.F. Qiu, R.G. Liu, Z.Y. Ren, G. Rong, L. Shang, D.L. Shen, X.Y. Shen, H.Y. Sheng, Y.F. Shi, L.W. Song, W.Y. Song, D.H. Sun, G.X. Sun, H.S. Sun, L.J. Sun, S.S. Sun, X.D. Sun, Y.Z. Sun, Z.J. Sun, J.P. Tan, S.Q. Tang, X. Tang, N. Tao, H.L. Tian, Y.R. Tian, X. Wan, D.Y. Wang, J.K. Wang, J.Z. Wang, K. Wang, K.X. Wang, L. Wang, L.J. Wang, L.S. Wang, M. Wang, N. Wang, P. Wang, P.L. Wang, Q. Wang, Y.F. Wang, Z. Wang, Z.G. Wang, Z.Y. Wang, C.L. Wei, S.J. Wei, S.P. Wen, J.J. Wu, L.H. Wu, N. Wu, Y.H. Wu, Y.M. Wu, Z. Wu, M.H. Xu, X.M. Xia, H.S. Xiang, G. Xie, X.X. Xie, Y.G. Xie, G.F. Xu, H. Xu, Q.J. Xu, J.D. Xue, L. Xue, L. Yan, G.A. Yang, H. Yang, H.X. Yang, S.M. Yang, M. Ye, B.X. Yu, C. Yuan, C.Z. Yuan, Y. Yuan, S.L. Zang, B.X. Zhang, B.Y. Zhang, C.C. Zhang, D.H. Zhang, H.Y. Zhang, J. Zhang, J.W. Zhang, J.Y. Zhang, L.S. Zhang, M. Zhang, Q.X. Zhang, W. Zhang, X.M. Zhang, Y. Zhang, Y.H. Zhang, Y.Y. Zhang, Z.X. Zhang, S.H. Zhang, D.X. Zhao, H.S. Zhao, J.B. Zhao, J.W. Zhao, J.Z. Zhao, L. Zhao, P.P. Zhao, Y.B. Zhao, Y.D. Zhao, B. Zheng, J.P. Zheng, L.S. Zheng, Z.P. Zheng, B.Q. Zhou, G.M. Zhou, J. Zhou, L. Zhou, Z.L. Zhou, H.T. Zhu, K. Zhu, K.J. Zhu, Q.M. Zhu, X.W. Zhu, Y.S. Zhu, Z.A. Zhu, B.A. Zhuang, J.H. Zou, X. Zou, J.X. Zuo, L.L. Wang, M.H. Ye, Y.H. Zheng, C.F. Qiao, X.R. Lu, H.B. Liu, J.F. Hu, Y.T. Gu, X.D. Ruan, G.M. Huang, Y. Zeng, Y.H. Yan, G. Chelkov, I. Boyko, D. Dedovich, I. Denysenko, S. Grishin, A. Zhemchugov, Zhenjun Xiao, Jialun Ping, Libo Guo Chenglin Luo, Shenjian Chen, Ming Qi, Xiaowei Hu, Lei Zhang, Xueqian Li, Chunxu Yu, Yubin Liu, Ye Xu, Minggang Zhao, Aiqiang Guo, Yuping Guo, Zhenya He, Y.J. Mao, Z.Y. You, Y.T. Liang, X.Y. Zhang, X.T. Huang, J.B. Jiao, X.L. Li, M.Y. Duan, F.H. Liu, Q.W. Lu, F.P. Ning, X.D. Wang, Yongfei Liang, Changjian Tang, Yiyun Zhang, Y.N. Gao, H. Gong, B.B. Shao, F.A. Harris, J.W. Kennedy, X. Nguyen, S.L. Olsen, M. Rosen, C.P. Shen, G.S. Varner, X. Yu, Y. Zhou, H. Liang, Y. Chen, J. Xue, B. Liu, Z. Cheng, H.F. Chen, Cheng Li, M. Shao, Y.J. Sun, J. Yan, Z.B. Tang, X. Li, L. Jiang, Z.P. Zhang, J. Wu, Z.Z. Xu, Q. Shan, Z. Xue, X.L. Wang, Q. An, S.B. Liu, J.H. Guo, C.Q. Feng, H. Li, W. Zheng, H. Yan, Z. Cao, X.H. Liu, Sachio Komamiya, Tomoyuki Sanuki, Taiki Yamamura, Tianchi Zhao, and Mingxing Luo

Subjects
Physics, Nuclear and High Energy Physics, Physics - Instrumentation and Detectors, Luminosity (scattering theory), Calorimeter (particle physics), Physics::Instrumentation and Detectors, Detector, FOS: Physical sciences, Cosmic ray, Solenoid, Instrumentation and Detectors (physics.ins-det), Tracking (particle physics), Charged particle, High Energy Physics - Experiment, law.invention, Nuclear physics, High Energy Physics - Experiment (hep-ex), law, Collider, Instrumentation
Abstract

This paper will discuss the design and construction of BESIII, which is designed to study physics in the tau-charm energy region utilizing the new high luminosity BEPCII double ring e+e- collider. The expected performance will be given based on Monte Carlo simulations and results of cosmic ray and beam tests. In BESIII, tracking and momentum measurements for charged particles are made by a cylindrical multilayer drift chamber in a 1 T superconducting solenoid. Charged particles are identified with a time-of-flight system based on plastic scintillators in conjunction with dE/dx (energy loss per unit pathlength) measurements in the drift chamber. Energies of electromagnetic showers are measured by a CsI(Tl) crystal calorimeter located inside the solenoid magnet. Muons are identified by arrays of resistive plate chambers in the steel magnetic flux return. The level 1 trigger system, Data Acquisition system and the event filter system based on networked computers will also be described., 57 pages, 75 figures

Published
2010

6. [Untitled]

Author

Ken Mackie, Wei-Yi Ong, and X.R. Lu

Subjects
Basal forebrain, Histology, Ryanodine receptor, General Neuroscience, Cell Biology, Biology, Nucleus basalis, Choline acetyltransferase, Calcium in biology, Cell biology, medicine.anatomical_structure, nervous system, mental disorders, medicine, lipids (amino acids, peptides, and proteins), Anatomy, Cholinergic neuron, Neuroscience, Nucleus, psychological phenomena and processes, Acetylcholine, medicine.drug
Abstract

The distribution of the CB1 cannabinoid receptor was studied in the monkey basal forebrain by immunocytochemistry and electron microscopy, using an antibody to the CB1 brain cannabinoid receptor. Large numbers of labelled neurons were observed in the medial septum, nucleus of the diagonal band, and the nucleus basalis of Meynert. The labelled neurons had dimensions similar to those of cholinergic neurons and were larger than those of GABAergic neurons. Double immunolabelling with an antibody to the synthetic enzyme for acetylcholine, choline acetyl transferase (ChAT) showed that CB1-positive neurons were also positive for ChAT, whilst electron microscopy confirmed that CB1-labelled neurons contained lipofuscin granules and dense clusters of rough endoplasmic reticulum, characteristic of cholinergic neurons. The dense labelling of cholinergic neurons for CB1 is interesting from the standpoint of neuroprotection. The CB1 receptor has been shown to couple in an inhibitory manner to voltage dependent calcium channels, and the dense labelling of CB1 in cholinergic neurons would therefore suggest that CB1 receptors could be important in limiting calcium influx through voltage dependent calcium channels in these neurons. This could serve to limit intracellular calcium concentrations, and consequent calcium mediated injury, in these neurons.

Published
1999

7. An Adaptive Algorithm for Ship's Adaptive Autopilot Design

Author

B.S. Zhang and X.R. Lu

Subjects
Engineering, Disturbance (geology), Adaptive control, Adaptive algorithm, business.industry, Control (management), Control engineering, Object (computer science), Course (navigation), law.invention, Control theory, law, Autopilot, business
Abstract

A novel adaptive algorithm for ship’s adaptive autopilot design is presented in this paper. This algorithm aims to establish an appropriate mathematical model for the controlled object and its disturbance, and to choose the appropriate performance criterion of the system. The controller designed in this way can obtain high performance not only in random disturbance control to meet the course keeping requirement, but also in certainty disturbance control to meet course change manoeuvering requirement; thus two control functions of the autopilot can be fulfilled by one control law.

Published
1987

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