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| 1 | SNP-based linkage mapping for validation of adult plant stripe rust resistance QTL in common wheat cultivar Chakwal 86显示文摘Wheat crops in China are constantly challenged by stripe rust. Deployment of cultivars with diverse resistances is the best strategy to control the disease. A recombinant inbred line(RIL) population derived from a cross between the resistant cultivar Chakwal 86 and susceptible landrace Mingxian 169 was studied in multiple environments to examine the underlying genetics and to identify quantitative trait loci(QTL) for stripe rust resistance.One hundred and twenty-eight RILs were genotyped with wheat 35 K SNP array and a genome-wide linkage map with 1480 polymorphic SNP markers, or bins, was constructed.Two major QTL on chromosomes 1BL and 3BS, and one minor QTL on 6BS had significant effects in reducing stripe rust severity. The QTL were validated using composite interval mapping(CIM) and inclusive composite interval mapping(ICIM). These methods explained59.0%–74.1% of the phenotype variation in disease response. The QTL on chromosome 1 BL was confirmed to be Yr29/Lr46 and the one on 3BS was the resistance allele identified in CIMMYT germplasm but was not Yr30/Sr2. The QTL on 6BS probably corresponded to previously known QTL. RILs with combined QTL were more resistant than those with single or no QTL. Kompetitive allele-specific PCR(KASP) assays for the QTL with largest effect QTL on chromosome 3BS were performed on a subset of RILs and 150 unrelated wheat lines. The QTL on 3BS with its linked KASP markers can be used in marker-assisted selection to improve stripe rust resistance in breeding programs. | Qingdong Zeng Jianhui Wu Shuo Huang Fengping Yuan Shengjie Liu Qilin Wang Jingmei Mu Shizhou Yu Li Chen Dejun Han Zhensheng Kang | 2019 | The Crop Journal2019，7，2： | 2 |
| 2 | Prediction of adolescent subjective well being: A machine learning approach显示文摘Background Subjective well-being(SWB),also known as happiness,plays an important role in evaluating both mental and physical health.Adolescents deserve specific attention because they are under a great variety of stresses and are at risk for mental disorders during adulthood.Aim The present paper aims to predict undergraduate students1 SWB by machine learning method.Methods Gradient Boosting Classifier which was an innovative yet validated machine learning approach was used to analyse data from 10518 Chinese adolescents.The online survey included 298 factors such as depression and personality.Quality control procedure was used to minimise biases due to online survey reports.We applied feature selection to achieve the balance between optimal prediction and result interpretation.Results The top 20 happiness risks and protective factors were finally brought into the predicting model.Approximately 90%individuals'SWB can be predicted correctly,and the sensitivity and specificity were about 92%and 90%,respectively.Conclusions This result identifies at-risk individuals according to new characteristics and established the foundation for adolescent prevention strategies. | Naixin Zhang Chuanxin Liu Zhixuan Chen Lin An Decheng Ren Fan Yuan Ruixue Yuan Lei Ji Yan Bi Zhenming Guo Gaini Ma Fei Xu Fengping Yang Liping Zhu Gabirel Robert Yifeng Xu Lin He Bo Bai Tao Yu Guang He | 2019 | General Psychiatry2019，32，5： | 1 |
| 3 | Association between SLC17A7 gene polymorphisms and venlafaxine for major depressive disorder in a Chinese Han population:a prospective pharmacogenetic case-control study显示文摘Objective: Venlafaxine is a common antidepressant and its therapeutic effect varies among people with different genetic backgrounds. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) in theSLC17A7 gene are associated with the treatment outcome of venlafaxine in a Chinese Han population with major depressive disorder.Methods: This prospective pharmacogenetic case-control study that involved genotyping of four SNPs ofSLC17A7 was conducted on 175 major depressive disorder patients of Chinese Han origin, aged 18 to 65 years, participated in the study from April 2005 to September 2006. Comparisons of allele and genotype frequencies of all SNPs were performed between the responder/remission group and the nonresponder/nonremission group. This study was approved by the Institutional Ethics Committee of Sichuan University (approval No. 20151112-265).Results: The allele and genotype frequencies of the four candidate SNPs inSCL17A7 showed no significant difference between responders and nonresponders. Meanwhile, no significant difference was detected in the four investigatedSLC17A7 SNPs between patients who did and did not exhibit remission. Although one of the investigatedSLC17A7 variants (rs1578944) demonstrated a significant association (P=0.022) with a response to venlafaxine after 6 weeks of treatment in the survival analysis, the association was unclear after a Bonferroni multiple comparisons test was conducted.Conclusion: No significant association exists between the four candidate SNPs (rs1043558, rs1320301, rs1578944, and rs74174284) inSLC17A7 and venlafaxine treatment in the Chinese Han population. | Liangile Liu Decheng Ren Fan Yuan Yan Bi Zhenming Guo Gaini Ma Fei Xu Binyin Hou Lei Ji Zhixuan Chen Lin An Naixin Zhang Tao Yu Xingwang Li Fengping Yang Xueli Sun Zaiquan Dong Shunying Yu Zhenghui Yi Yifeng Xu Lin He Shaochang Wu Longyou Zhao Changqun Cai Guang He Yi Shi | 2021 | Journal of Bio-X Research2021，4，3： | 0 |
| 4 | Modeling detector response function of alpha particles for neutron depth profiling显示文摘The energy spreading of recorded ions is influenced by straggling,geometrical acceptance angles and detector energy resolution effects in neutron depth profiling(NDP)and a symmetric Gaussian function model was customarily applied before.In addition,the spectra of mono-energetic alpha particles show a well known asymmetric shape as well when measured by silicon detectors.This article presents a physical model predicting the observed energy spectrum of a sample ion with target nuclides in prearranged depths.It is expressed as the convolution of a Gaussian function with a left-hand double-exponential function.Experiment showed that the predicted ions spectrum derived from the asymmetric model matches the observed energy spectrum.Therefore,the model can be applied to produce matrix for inversion of NDP spectrum. | DOU HaiFeng LI RunDong XU JiaYun YUAN Shu TANG FengPing YANG Xin | 2014 | Science China(Technological Sciences)2014，57，1： | 0 |
| 5 | Enrichment of anchoring sites by introducing supramolecular halogen bonds for the efficient perovskite nanocrystal LEDs显示文摘Considering the multi-functionalization of ligands,it is crucial for ligand molecular design to reveal the landscape of anchoring sites.Here,a typical triphenylphosphine(TPP)ligand was employed to explore its effect on the surface of CsPbI_(3)perovskite nanocrystals(PNCs).Except for the conventionally considered P-Pb coordination,an P-I supramolecular halogen bonding was also found on the NC surface.The coexistence of the above two types of bonding significantly increased the formation energy of iodine vacancy defects and improved the photoluminescence quantum yield of PNCs up to 93%.Meanwhile,the direct interaction of P and I enhanced the stability of the Pb-I octahedra and dramatically inhibited the migration of I ions.Furthermore,the introduction of additional benzene rings(2-(Diphenylphosphino)-biphenyl(DPB))increased the delocalized properties of the PNC surface and significantly improved the charge transport of the PNCs.As a result,the DPB passivated CsPbI_(3)NCs based top-emitting LEDs exhibite a peak external quantum efficiency(EQE)of 22.8%,a maximum luminance of 15,204 cd m^(−2),and an extremely low-efficiency roll-off of 2.6%at the current density of 500 mA cm^(−2). | Po Lu Ting Li Min Lu Cheng Ruan Siqi Sun Zhennan Wu Yuan Zhong Fujun Zhang Yanbo Gao Yaowei Huang Yang Wang Junhua Hu Fengping Yan Yu Zhang | 2023 | Light(Science & Applications)2023，12，10： | 0 |
| 6 | Correlation of PCSK1 with nonalcoholic fatty liver disease in a Han Chinese population:a case-control observational study显示文摘Objective: This study aimed to investigate the association between single-nucleotide polymorphisms (SNPs) ofPCSK1 (proprotein convertase subtilisin/kexin type 1) related to obesity and nonalcoholic fatty liver disease (NAFLD).Methods: In this case-control observational study, four candidate SNPs (rs6234, rs155971, rs6232, rs3811951) ofPCSK1 were genotyped in 732 NAFLD patients and 823 healthy control participants, all of whom were of ethnic Han Chinese descent. All participants came from Shanghai, China, and joined our study during 2015 to 2016. The frequencies of each allele and genotype, paired linkage disequilibrium, and haplotype were calculated on the SHEsis platform. In addition to SHEsis, five different genetic models (codominant, dominant, recessive, overdominant, and log-additive) were employed to identify the correlation between genotype frequency and NAFLD. This study was approved by the Medical Ethics Committee of Shanghai University of Traditional Chinese Medicine (approved No. 2017LCSY069).Results: In a comparison of NAFLD patients and healthy participants, none of the fourPCSK1 SNPs were significantly correlated with the occurrence of NAFLD (P>0.05), in either genotypic or allelic distribution. The recessive model of rs3811951 appeared to show a correlation (odds ratio=1.077;95% confidence interval=0.924-1.256;P=0.04), but there was no statistical significance after Bonferroni correction (Pcorr>0.0125).Conclusions: Four obesity-relatedPCSK1 SNPs (rs6234, rs155971, rs6232, rs3811951) showed no significant correlation with the development of NAFLD in a Han Chinese population. | Xiao Yang Fan Yuan Na Wu Decheng Ren Liangjie Liu Yan Bi Lei Ji Ke Han Mofan Feng Kai Su Fengping Yang Xi Wu Qing Lu Siran Yue Fengyan Jiang Ruirui Wang Guang He Baocheng Liu Xingwang Li Yi Shi | 2022 | Journal of Bio-X Research2022，5，3： | 0 |
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