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TrG2P:A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield

Plant Communications 2024年第7期5卷 16-27页

作者： Jinlong Li Dongfeng Zhang Feng yang Qiusi Zhang Shouhui Pan Xiangyu Zhao Qi Zhang Yanyun Han jinliang yang Kaiyi Wang Chunjiang Zhao Information Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China National Engineering Research Center for Information Technology in Agriculture Beijing 100097China Department of Agronomy and Horticulture University of Nebraska-LincolnLincolnNE 68583USA Center for Plant Science Innovation University of Nebraska-LincolnLincolnNE 68583USA These authors contributed equally to this article

Yield prediction is the primary goal of genomic selection(GS)-assisted crop *** yield is a complex quantitative trait,making predictions from genotypic data is *** learning can produce an effective model for a target task by leveraging knowledge from a different,but related,source domain and is considered a great potential method for improving yield prediction by integrating multi-trait ***,it has not previously been applied to genotype-to-phenotype prediction owing to the lack of an efficient implementation *** therefore developed TrG2P,a transfer-learning-based ***2P first employs convolutional neural networks(CNN)to train models using non-yield-trait phenotypic and genotypic data,thus obtaining pre-trained ***,the convolutional layer parameters from these pre-trained models are transferred to the yield prediction task,and the fully connected layers are retrained,thus obtaining fine-tuned ***,the convolutional layer and the first fully connected layer of the fine-tuned models are fused,and the last fully connected layer is trained to enhance prediction *** applied TrG2P to five sets of genotypic and phenotypic data from maize(Zea mays),rice(Oryza sativa),and wheat(Triticum aestivum)and compared its model precision to that of seven other popular GS tools:ridge regression best linear unbiased prediction(rrBLUP),random forest,support vector regression,light gradient boosting machine(LightGBM),CNN,DeepGS,and deep neural network for genomic prediction(DNNGP).TrG2P improved the accuracy of yield prediction by 39.9%,6.8%,and 1.8%in rice,maize,and wheat,respectively,compared with predictions generated by the best-performing comparison *** work therefore demonstrates that transfer learning is an effective strategy for improving yield prediction by integrating information from non-yield-trait *** attribute its enhanced prediction accuracy to the valuable information ava

关键词： crop genotype to phenotype transfer learning yield prediction multi-trait

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TWAS facilitates gene-scale trait genetic dissection through gene expression,structural variations,and alternative splicing in soybean

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Plant Communications 2024年第10期5卷 16-32页

作者： Delin Li Qi Wang Yu Tian Xiangguang Lyv Hao Zhang Huilong Hong Huawei Gao Yan-Fei Li Chaosen Zhao Jiajun Wang Ruizhen Wang jinliang yang Bin Liu Patrick S.Schnable James C.Schnable Ying-Hui Li Li-Juan Qiu The National Key Facility for Crop Gene Resources and Genetic Improvement(NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement(MOA)/State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop ScienceChinese Academy of Agricultural SciencesBeijing 100081China College of Agriculture Northeast Agricultural UniversityHarbin 150030China National Nanfan Research Institute(Sanya) Chinese Academy of Agricultural SciencesSanya 572024China Crops Research Institute of Jiangxi Academy of Agricultural Sciences Nanchang 330200China Soybean Research Institute Heilongjiang Academy of Agricultural SciencesHarbin 150086China Department of Agronomy and Horticulture University of Nebraska-LincolnLincolnNE 68583USA Department of Agronomy Iowa State UniversityAmesIA 50011USA

A genome-wide association study(GWAS)identifies trait-associated loci,but identifying the causal genes can be a bottleneck,due in part to slow decay of linkage disequilibrium(LD).A transcriptome-wide association study(TWAS)addresses this issue by identifying gene expression-phenotype associations or integrating gene expression quantitative trait loci with GWAS ***,we used self-pollinated soybean(Glycine max[L.]Merr.)as a model to evaluate the application of TWAS to the genetic dissection of traits in plant species with slow LD *** generated RNA sequencing data for a soybean diversity panel and identified the genetic expression regulation of 29286 soybean *** TWAS solutions were less affected by LD and were robust to the source of expression,identifing known genes related to traits from different tissues and developmental *** novel pod-color gene L2 was identified via TWAS and functionally validated by genome *** introducing a new exon proportion feature,we significantly improved the detection of expression variations that resulted from structural variations and alternative *** a result,the genes identified through our TWAS approach exhibited a diverse range of causal variations,including SNPs,insertions or deletions,gene fusion,copy number variations,and alternative *** this approach,we identified genes associated with flowering time,including both previously known genes and novel genes that had not previously been linked to this trait,providing insights complementary to those from *** summary,this study supports the application of TWAS for candidate gene identification in species with low rates of LD decay.

关键词： eQTLs TWAS structural variation alternative splicing soybean

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抗MDA5抗体阳性临床无肌病性皮肌炎一例并文献复习

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中国麻风皮肤病杂志 2024年第7期40卷 494-498页

作者：米倩孟昭影杨金良河北北方学院研究生院河北张家口075000 河北北方学院附属第一医院河北张家口075000

抗MDA5抗体阳性临床无肌病性皮肌炎是一种特殊类型皮肌炎,间质性肺病是其主要肺部并发症,国内少见,本文报道一例并做文献分析。患者,女,67岁。面颈部、肩背部及双手等多处红斑,伴四肢酸痛无力50天。肌炎抗体谱示:抗MDA5抗体IgG(+++),抗... 详细信息

抗MDA5抗体阳性临床无肌病性皮肌炎是一种特殊类型皮肌炎,间质性肺病是其主要肺部并发症,国内少见,本文报道一例并做文献分析。患者,女,67岁。面颈部、肩背部及双手等多处红斑,伴四肢酸痛无力50天。肌炎抗体谱示:抗MDA5抗体IgG(+++),抗SRP抗体IgG(+),抗SSA/Ro-52抗体(+)。胸部CT提示双肺间质纤维化伴感染。结合组织病理学检查,诊断为临床无肌病性皮肌炎(抗MDA5抗体阳性)。

关键词：抗MDA5抗体临床无肌病性皮肌炎

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Recent Progress on Data-Based Optimization for MineralProcessing Plants

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Engineering 2017年第2期3卷 183-187页

作者： jinliang Ding Cuie yang Tianyou Chai State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China

In the globalized market environment, increasingly significant economic and environmental factors withincomplex industrial plants impose importance on the optimization of global production indices; such opti-mization includes improvements in production efficiency, product quality, and yield, along with reductionsof energy and resource usage. This paper briefly overviews recent progress in data-driven hybrid intelli-gence optimization methods and technologies in improving the performance of global production indicesin mineral processing. First, we provide the problem description. Next, we summarize recent progress indata-based optimization for mineral processing plants. This optimization consists of four layers： optimiza-tion of the target values for monthly global production indices, optimization of the target values for dailyglobal production indices, optimization of the target values for operational indices, and automation systemsfor unit processes. We briefly overview recent progress in each of the different layers. Finally, we point outopportunities for future works in data-based optimization for mineral processing plants.

关键词： Data-based optimization Plant-wide global optimization Mineral processing Survey

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Kinetic Study on Liquid-Phase Hydrodesulfurization of FCC Diesel in Tubular Reactors

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China Petroleum Processing & Petrochemical Technology 2015年第2期17卷 1-8页

作者： Li Hua yang jinliang Weng Huixin Wang Jiming East China University of Science and Technology SINOPEC Changling Petrochemical Company SINOPEC Group

According to the characteristics of FCC diesel, a technology of liquid-phase hydrodesulfurization of the diesel in tubular reactors was proposed and lab-scale experiments were carried out. A kinetic model for the hydrodesulfurization process was developed and verified. The model was utilized to predict the sulfur content of products under different operating conditions. The effects of temperature, space velocity, pressure, and hydrogen concentration on the dcsulfurization rate were investigated.

关键词： FCC diesel liquid-phase hydrodesulfurization kinetic model

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Antimicrobial peptide DP7 with potential activity against SARS coronavirus infections

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Signal Transduction and Targeted Therapy 2021年第5期6卷 1420-1422页

作者： Rui Zhang Xiaohua Jiang Jingxin Qiao Zeng Wang Aiping Tong jinliang yang Shengyong yang Li yang State Key Laboratory of Biotherapy and Cancer Center West China HospitalSichuan Universityand Collaborative Innovation Center for BiotherapyChengduChina

Dear Editor,The outbreak of the SARS-CoV-2 epidemic once again demonstrates that RNA viruses,through mutations,genetic recombination and cross-species transmission,can pose a serious threat to the health of people *** after the severe acute respiratory syndrome(SARS)and middle east respiratory syndrome(MERS)outbreaks,the world still initially lacked effective means to control the current coronavirus disease 2019(COVID-19)*** must work together to develop effective drugs to treat existing and future potential coronavirus infections to reduce their impact on the global health system and human *** to time constraints,the'conventional drug in new use#method has become the main method of treating SARS-CoV-2 ***,long-term drug development goals should include treatments that can produce broad-spectrum effects on different coronaviruses,and provide the means to alleviate disease symptoms and prevent death.

关键词： infections drugs SARS

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Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations

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Plant Phenomics 2020年第1期2卷 14-24页

作者： Chenyong Miao Alejandro Pages Zheng Xu Eric Rodene jinliang yang James C.Schnable Center for Plant Science Innovation University of Nebraska-LincolnLincolnNEUSA Department of Agronomy and Horticulture University of Nebraska-LincolnLincolnNEUSA Quantitative Life Sciences Initiative University of Nebraska-LincolnLincolnNEUSA Department of Mathematics and Statistics Wright State UniversityDaytonOHUSA

This study describes the evaluation of a range of approaches to semantic segmentation of hyperspectral images of sorghum plants,classifying each pixel as either nonplant or belonging to one of the three organ types(leaf,stalk,panicle).While many current methods for segmentation focus on separating plant pixels from background,organ-specific segmentation makes it feasible to measure a wider range of plant *** scored training data for a set of hyperspectral images collected from a sorghum association population was used to train and evaluate a set of supervised classification *** algorithms show acceptable accuracy for this classification *** trained on sorghum data are able to accurately classify maize leaves and stalks,but fail to accurately classify maize reproductive organs which are not directly equivalent to sorghum *** measurements extracted from semantic segmentation of sorghum organs can be used to identify both genes known to be controlling variation in a previously measured phenotypes(e.g.,panicle size and plant height)as well as identify signals for genes controlling traits not previously quantified in this population(e.g.,stalk/leaf ratio).Organ level semantic segmentation provides opportunities to identify genes controlling variation in a wide range of morphological phenotypes in sorghum,maize,and other related grain crops.

关键词： Sorghum classify organs

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Design, synthesis and pharmacological evaluation of 4-(3-chloro-4-(3-cyclopropylthioureido)-2-fluorophenoxy)-7-methoxyquinoline-6-carboxamide (WXFL-152):a novel triple angiokinase inhibitor for cancer therapy

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Acta Pharmaceutica Sinica B 2020年第8期10卷 1453-1475页

作者： Yuqin Yao Zhuowei Liu Manyu Zhao Zhengxia Chen Peng Li yang Zhang Yuxi Wang Chengjian Zhao Chaofeng Long Xiaoxin Chen jinliang yang State Key Laboratory of Biotherapy and Cancer Center West China HospitalWest China School of Public Health and West China Fourth HospitalSichuan UniversityChengdu 610041China Guangdong Zhongsheng Pharmaceutical Co. Ltd.Dongguan 523325China West China School of Public Health and West China Fourth Hospital Healthy Food Evaluation Research CenterSichuan UniversityChengdu 610041China Guangdong Raynovent Biotech Co. Ltd.Dongguan 523325China WuXi AppTec Ltd.Shanghai 200131 China

Angiokinases, such as vascular endothelial-, fibroblast-and platelet-derived growth factor receptors(VEGFRs, FGFRs and PDGFRs) play crucial roles in tumor angiogenesis. Anti-angiogenesis therapy using multi-angiokinase inhibitor has achieved great success in recent years. In this study, we presented the design, synthesis, target identification, molecular mechanism, pharmacodynamics(PD)and pharmacokinetics(PK) research of a novel triple-angiokinase inhibitor WXFL-152. WXFL-152,identified from a series of 4-oxyquinoline derivatives based on a structureeactivity relationship study,inhibited the proliferation of vascular endothelial cells(ECs) and pericytes by blocking the angiokinase signals VEGF/VEGFR2, FGF/FGFRs and PDGF/PDGFRβ simultaneously in vitro. Significant anticancer effects of WXFL-152 were confirmed in multiple preclinical tumor xenograft models, including a patientderived tumor xenograft(PDX) model. Pharmacokinetic studies of WXFL-152 demonstrated high favourable bioavailability with single-dose and continuous multi-dose by oral administration in rats and *** conclusion, WXFL-152, which is currently in phase Ib clinical trials, is a novel and effective tripleangiokinase inhibitor with clear PD and PK in tumor therapy.

关键词： inhibited clinical synthesis

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广东省东莞市鸟类新纪录——白鹇

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热带林业 2024年第1期52卷 101-103页

作者：杨进良喻晶吴铙彤闫东明陈进东莞市银瓶山森林公园广东东莞523640 希言自然科技(广州)有限公司广东广州510399

2022年9月—2022年12月,在开展东莞市银瓶山森林公园野生动物监测的过程中,在东莞市国营清溪林场和东莞市银瓶山自然保护区4个监测点均拍到白鹇雌雄鸟的影像,栖息地以常绿阔叶林为主。经查阅相关文献,证实为广东省东莞市境内鸟类新纪录... 详细信息

2022年9月—2022年12月,在开展东莞市银瓶山森林公园野生动物监测的过程中,在东莞市国营清溪林场和东莞市银瓶山自然保护区4个监测点均拍到白鹇雌雄鸟的影像,栖息地以常绿阔叶林为主。经查阅相关文献,证实为广东省东莞市境内鸟类新纪录,由此白鹇在广东省珠三角莞深广地区均有分布。

关键词：白鹇东莞银瓶山森林公园鸟类新记录

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Advanced Sensors Towards Ubiquitous Power Internet of Things

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 871-890页

作者： jinliang He Zhifei Han Jun Hu Department of Electrical Engineering Tsinghua UniversityBeijing 100084China IEEE CSEE

The ubiquitous power Internet of Things(UPIoT)uses modern information technology and advanced communication technologies to realize interconnection and human-computer interaction in all aspects of the power *** has the characteristics of comprehensive state perception and efficient information processing,and has broad application prospects for transformation of the energy *** fundamental facility of the UPIoT is the sensor-based information *** using advanced sensors,Wireless Sensor Networks(WSNs),and advanced data processing technologies,Internet of Things can be realized in the power *** this paper,a framework of WSNs based on advanced sensors towards UPIoT is *** addition,the most advanced sensors for UPIoT purposes are reviewed,along with an explanation of how the sensor data obtained in UPIoT is utilized in various scenarios.

关键词： Advanced sensors ubiquitous power Internet of Things wireless sensor networks

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