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Optimal Designs for Genomic Selection in Hybrid Crops

Molecular Plant 2019年第3期12卷 390-401页

作者： Tingting Guo Xiaoqing Yu Xianran Li Haozhe Zhang Chengsong Zhu sherry flint-garcia Michael D.McMullen James B.Holland Stephen J.Szalma Randall J.Wisser Jianming Yu Department of Agronomy Iowa State UniversityAmesIA50011USA Department of Statistics Iowa State UniversityAmesIA50011USA USDA-ARS and Division of Plant Sciences University of MissouriColumbiaMO65211USA USDA-ARS and Department of Crop and Soil Sciences North Carolina State UniversityRaleighNC27695USA Department of Plant and Soil Sciences University of DelawareNewarkDE19716USA

Improved capacity of genomics and biotechnology has greatly enhanced genetic studies in different areas. Genomic selection exploits the geno type-to-phe no type relationship at the whole-ge nome level and is being implemented in many crops? Here we show that design-thinking and data-mining techniques can be leveraged to optimize genomic prediction of hybrid performance? We phenotyped a set of 276 maize hybrids generated by crossing founder inbreds of nested association mapping populations for flowering time, ear height, and grain yield? With 10 296 310 SNPs available from the parental inbreds, we explored the pat? terns of genomic relati on ships and phenotypic variation to establish training samples based on clustering, graphic n etwork analysis, and genetic mating scheme ? Our analysis showed that training set desig ns outperformed random sampling and earlier methods that either minimize the mean of prediction error variance or maximize the mean of generalized coefficient of determination. Additional analyses of 2556 wheat hybrids from an early-stage hybrid breeding system and 1439 rice hybrids from an established hybrid breeding system validated the approaches. Together, we dem on strated that effective genomic predicti on models can be established with a training set 2%-13% of the size of the whole set, enabling an efficient exploration of enormous inf ere nee space of gen etic combi nations.

关键词： data mining molecular breeding genomic relationship genomic selection optimal design

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玉米茎秆强度和穗位高间的遗传关系

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国外作物育种 2003年第3期22卷 28-29页

作者： ShengA.flint-garcia 向平

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Evaluation of bacterial biomarkers to aid in challenging inflammatory bowel diseases diagnostics and subtype classification

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World Journal of Gastrointestinal Pathophysiology 2020年第3期11卷 64-77页

作者： Mireia Lopez-Siles Xavier Aldeguer Miriam Sabat-Mir Mariona Serra-Pagès Sylvia H Duncan Harry J flint L Jesús garcia-Gil Margarita Martinez-Medina Laboratory of Molecular Microbiology Biology DepartmentUniversitat de GironaGirona 17003Spain Department of Gastroenterology Hospital Universitari Dr.Josep TruetaGirona 17007Spain Department of Gastroenterology Hospital Santa CaterinaSalt 17190Spain GoodGut SL Girona 17003Spain Microbiology Group Rowett Institute of Nutrition and HealthUniversity of AberdeenAberdeen AB252ZDUnited Kingdom

BACKGROUND The challenges for inflammatory bowel disease(IBD)diagnostics are to discriminate it from gut conditions with similar symptoms such as irritable bowel syndrome(IBS),to distinguish IBD subtypes,to predict disease progression,and to establish the risk to develop colorectal cancer(CRC).Alterations in gut microbiota have been proposed as a source of information to assist in IBD *** prausnitzii(***),its phylogroups,and Escherichia coli(***)have been reported as potential biomarkers,but their performance in challenging IBD diagnostic situations remains *** hypothesize that bacterial biomarkers based in these species may help to discriminate these conditions of complex *** To evaluate the usefulness of indices calculated from the quantification of these species as biomarkers to aid in IBD *** A retrospective study of 131 subjects(31 controls(H);45 Crohn’s disease(CD),25 ulcerative colitis(UC),10 IBS,and 20 CRC patients)was performed to assess the usefulness of bacterial biomarkers in ***,the performance of biomarkers in faeces was studied in 29 stool samples(19 CD,10 UC).Relative abundances of total ***(FP),its phylogroups(PHGI and PHGII),and ***(E)quantification were determined by *** were combined to calculate the FP-E index,the PHGI–E index and the PHGII-E *** accuracy to discriminate among conditions was measured by the area under the receiver operating characteristic curve(AUC).RESULTS In biopsies,FP-E index was good for discriminating IBS from CD(AUC=0.752)while PHGII-E index was suitable for discriminating IBS from UC(AUC=0.632).The FP-E index would be the choice to discriminate IBD from CRC,especially from all UC subtypes(AUC≥0.875),regardless of the activity status of the *** between UC patients that had the longest disease duration and those with CRC featured slightly lower AUC *** differentiation in IB

关键词： Crohn’s disease Ulcerative colitis Inflammatory bowel disease Diagnostic tests Faecalibacterium prausnitzii Escherichia coli Irritable bowel syndrome Colorectal cancer

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