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Fine mapping and validation of a stable QTL for thousand-kernel weight in wheat(Triticum aestivum L.)

作物学报:英文版 2023年第5期11卷 1491-1500页

作者： Deyuan Meng Aamana Batool Yazhou Xuan Ruiqing Pan Na Zhang Wei Zhang Liya Zhi Xiaoli Ren Wenqing Li Jijie Li Yanxiao Niu Shuzhi Zheng Jun Ji Xiaoli Shi Lei Wang Hongqing Ling Chunhua Zhao Fa Cui Xigang Liu Junming Li Liqiang Song Center for Agricultural Resources Research Institute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesShijiazhuang 050022HebeiChina Ministry of Education Key Laboratory of Molecular and Cellular Biology Hebei Research Center of the Basic Discipline of Cell BiologyHebei Key Laboratory of Molecular and Cellular BiologyCollege of Life SciencesHebei Normal UniversityShijiazhuang 050024HebeiChina State Key Laboratory of North China Crop Improvement and Regulation College of AgronomyHebei Agricultural UniversityBaoding 071000HebeiChina State Key Laboratory of Plant Cell and Chromosome Engineering Chinese Academy of SciencesBeijing 100101China Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong School of AgricultureLudong UniversityYantai 264025ShandongChina Hebei Collaboration Innovation Center for Cell Signaling Shijiazhuang 050024HebeiChina College of Life Science University of Chinese Academy of SciencesBeijing 100049China

thousand-kernel weight(TKW)is a measure of grain weight,a target of wheat *** object of this study was to fine-map a stable quantitative trait loci(QTL)for TKW and identify its candidate gene in a recombinant inbred line(RIL)population derived from the cross of Kenong 9204(KN9204)and Jing411(J411).On a high-density genetic linkage map,24,26 and 25 QTL were associated with TKW,kernel length(KL),and kernel width(KW),respectively.A major and stable QTL,QTkw-2D,was mapped to an8.3 cM interval on chromosome arm *** saturation of polymorphic markers in its target region,QTkw-2D was confined to a 9.13 Mb physical interval using a secondary mapping population derived from a residually heterozygous line(F6:7).This interval was further narrowed to 2.52 Mb using QTkw-2D near-isogenic lines(NILs).NILs~(KN9204)had higher fresh and dry weights than NILsJ411at various grain-filling *** TKW and KW of NILs~(KN9204)were much higher than those of NILsJ411in field *** comparison of both DNA sequence and expression between KN9204 and J411,TraesCS2D02G460300.1(TraesKN2D01HG49350)was assigned as a candidate gene for *** was confirmed by RNA sequencing(RNA-seq)of QTkw-2D *** results provide the basis of map-based cloning of QTkw-2D,and DNA markers linked to the candidate gene may be used in marker-assisted selection.

关键词： Wheat thousand-kernel weight Fine mapping Candidate gene

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A haplotype block associated with thousand-kernel weight on chromosome 5DS in common wheat(Triticum aestivum L.)

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Journal of Integrative Plant Biology 2015年第8期57卷 662-672页

作者： Yuquan Wang Chenyang Hao Jun Zheng Hongmei Ge Yang Zhou Zhengqiang Ma Xueyong Zhang Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement College of Agricultural SciencesNanjing Agricultural University Key Laboratory of Crop Gene Resources and Germplasm Enhancement Ministry of Agriculture/Institute of Crop Science the Chinese Academy of Agricultural Sciences

Spike number per unit area, number of grains per spike, and thousand-kernel weight（TKW） are important yield components for wheat（Triticum aestivum L.）. TKW has the highest heritability among the three components. We validated 27 simple sequence repeat（SSR） loci associated with TKW in an F2：5breeding population grown in four environments. A cfd78265 bpmarker on chromosome 5DS showed the strongest association with TKW and had a significantly positive effect on TKW compared to allele cfd78259 bp, with mean increases of 5.17, 3.63, 4.11, and 5.16 g in the four environments. Markers cfd67 and cfd40 flanking cfd78 also showed significantly positive associations with TKW with increases of 5.11, 3.29, 4.31, and 4.50 g for cfd67205, and4.98, 3.49, 4.06, and 4.84 g for cfd40187 compared with cfd67203 and cfd40190in the four environments, respectively. A major quantitative trait locus for TKW spanning 2.94 c M on chromosome 5DS was detected by association *** linkage disequilibrium（LD）（r2〉 0.2） was detected Resear among the three linked markers, which formed three haplotype blocks in the F2：5breeding population. Mean TKW differences between Hap B-I and Hap B-II were 5.80, 4.41, 4.02,and 5.06 g in the four environments, respectively. Moreover,significant LD was detected only between cfd78 and cfd67 and between cfd67 and cfd40 in a germplasm collection. This study provides a base for cloning genes related to TKW on chromosome 5DS.

关键词： Association mapping haplotype thousand-kernel weight Triticum oestivum

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Multivariate Cluster and Principle Component Analyses of Selected Yield Traits in Uzbek Bread Wheat Cultivars

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American Journal of Plant Sciences 2020年第6期11卷 903-912页

作者： Shokista Sh. Adilova Dilafruz E. Qulmamatova Saidmurad K. Baboev Tohir A. Bozorov Aleksey I. Morgunov Institute of Genetics and Plant Experimental Biology Tashkent Uzbekistan Tashkent Region Uzbekistan Omsk State Agrarian University Omsk Russia

Investigation of genetic diversity of geographically distant wheat genotypes is a useful approach in wheat breeding providing efficient crop varieties. This article presents multivariate cluster and principal component analyses (PCA) of some yield traits of wheat, such as thousand-kernel weight (TKW), grain number, grain yield and plant height. Based on the results, an evaluation of economically valuable attributes by eigenvalues made it possible to determine the components that significantly contribute to the yield of common wheat genotypes. Twenty-five genotypes were grouped into four clusters on the basis of average linkage. The PCA showed four principal components (PC) with eigenvalues > 1, explaining approximately 90.8% of the total variability. According to PC analysis, the variance in the eigenvalues was the greatest (4.33) for PC-1, PC-2 (1.86) and PC-3 (1.01). The cluster analysis revealed the classification of 25 accessions into four diverse groups. Averages, standard deviations and variances for clusters based on morpho-physiological traits showed that the maximum average values for grain yield (742.2), biomass (1756.7), grains square meter (18,373.7), and grains per spike (45.3) were higher in cluster C compared to other clusters. Cluster D exhibited the maximum thousand-kernel weight (TKW) (46.6).

关键词： Bread Wheat Principal Component Analysis Dispersion Cluster Analysis Grain Yield Spike Number Per Square Meter Drought Stress thousand-kernel weight

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Wheat kernel dimensions:how do they contribute to kernel weight at an individual QTL level

Wheat kernel dimensions:how do they contribute to kernel wei...

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中国作物学会50周年庆祝会暨2011年学术年会

作者： Fa Cui ~(1,2),Anming Ding~1,Jun Li~1,Chunhua Zhao~1,Junming Li ~2,and Honggang Wang~(1*) 1 State Key Laboratory of Crop Biology,Shandong Key Laboratory of Crop Biology,Taian Subcenter of National Wheat Improvement Center,College of Agronomy,Shandong Agricultural University,Taian 271018,China 2 Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang,050021,Hebei,China

kernel dimensions(KD) contribute greatly to thousand-kemel weight(TKW) in *** the present study,quantitative trait locus(QTL) for causal analysing of TKW were detected at kernel length (KL),kernel width(KW) and kernel diameter ratio(KDR) influences by both conditional and unconditional QTL mapping *** related F recombinant inbred line(RIL) populations,

关键词： Wheat kernel dimensions thousand-kernel weight Conditional QTL mapping Genetic relationship

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