QTL mapping of mandarin (Citrus reticulata) fruit characters using high-throughput SNP markers

被引:35
|
作者
Yu, Yuan [1 ]
Chen, Chunxian [2 ]
Gmitter, Frederick G., Jr. [1 ]
机构
[1] Univ Florida, Citrus Res & Educ Ctr, Lake Alfred, FL 33850 USA
[2] ARS, SE Fruit & Tree Nut Res Lab, USDA, Byron, GA 31008 USA
关键词
Mapping; Fruit quality; Mandarin; Breeding; QUANTITATIVE TRAIT LOCI; INTERGENERIC BC1 PROGENY; CAROTENOID CONTENT; LINKAGE MAPS; MORPHOLOGICAL TRAITS; SEASONAL-CHANGES; RESISTANCE GENE; SWEET ORANGE; PONCIRUS; ACCUMULATION;
D O I
10.1007/s11295-016-1034-7
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Seedlessness, flavor, and color are top priorities for mandarin (Citrus reticulata Blanco) cultivar improvement. Given long juvenility, large tree size, and high breeding cost, marker-assisted selection (MAS) may be an expeditious and economical approach to these challenges. The objectives of this study were to construct high-density mandarin genetic maps and to identify single nucleotide polymorphism (SNP) markers associated with fruit quality traits. Two parental genetic maps were constructed from an F-1 population derived from 'Fortune' x 'Murcott', two mandarin cultivars with distinct fruit characters, using a 1536-SNP Illumina GoldenGate assay. The map for 'Fortune' (FOR) consisted of 189 SNPs spanning 681.07 cM and for 'Murcott' (MUR) consisted of 106 SNPs spanning 395.25 cM. Alignment of the SNP sequences to the Clementine (Citrus clementina) genome showed highly conserved synteny between the genetic maps and the genome. A total of 48 fruit quality quantitative trait loci (QTLs) were identified, and ten of them stable over two or more samplings were considered as major QTLs. A cluster of QTLs for flavedo color space values L, a, b, and a/b and juice color space values a and a/b were detected in a single genomic region on linkage group 4. Two carotenoid biosynthetic pathway genes, pds1 and ccd4, were found within this QTL interval. Several SNPs were potentially useful in MAS for these fruit characteristics. QTLs were validated in 13 citrus selections, which may be useful in further validation and tentative MAS in mandarin fruit quality improvement.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Arabidopsis Seed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy
    Jasinski, Sophie
    Lecureuil, Alain
    Durandet, Monique
    Bernard-Moulin, Patrick
    Guerche, Philippe
    FRONTIERS IN PLANT SCIENCE, 2016, 7
  • [32] Using Mendelian Inheritance To Improve High-Throughput SNP Discovery
    Chen, Nancy
    Van Hout, Cristopher V.
    Gottipati, Srikanth
    Clark, Andrew G.
    GENETICS, 2014, 198 (03) : 847 - +
  • [33] Development of Whole Genome SNP-CAPS Markers and Preliminary QTL Mapping of Fruit Pedicel Traits in Watermelon
    Amanullah, Sikandar
    Osae, Benjamin Agyei
    Yang, Tiantian
    Li, Shenglong
    Abbas, Farhat
    Liu, Shi
    Liu, Shusen
    Song, Zhengfeng
    Wang, Xuezheng
    Gao, Peng
    Luan, Feishi
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [34] Development of 36 SNP markers in Ophiocephalus argus Cantor based on high-throughput sequencing
    Mingsong Xiao
    Qinsen Hu
    Yan Zhao
    Fangyin Bao
    Feng Cui
    Rongquan Zheng
    Conservation Genetics Resources, 2018, 10 : 35 - 38
  • [35] Development and characterization of 21 SNP markers in Manis javanica based on high-throughput sequencing
    Linmiao Li
    Li Wei
    Jinge Ma
    Jinping Chen
    Conservation Genetics Resources, 2018, 10 : 351 - 353
  • [36] Development of 36 SNP markers in Ophiocephalus argus Cantor based on high-throughput sequencing
    Xiao, Mingsong
    Hu, Qinsen
    Zhao, Yan
    Bao, Fangyin
    Cui, Feng
    Zheng, Rongquan
    CONSERVATION GENETICS RESOURCES, 2018, 10 (01) : 35 - 38
  • [37] High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth
    Zhang, Xuehai
    Huang, Chenglong
    Wu, Di
    Qiao, Feng
    Li, Wenqiang
    Duan, Lingfeng
    Wang, Ke
    Xiao, Yingjie
    Chen, Guoxing
    Liu, Qian
    Xiong, Lizhong
    Yang, Wanneng
    Yan, Jianbing
    PLANT PHYSIOLOGY, 2017, 173 (03) : 1554 - 1564
  • [38] Automated high-throughput SNP detection using magnetic composite particles
    He, Nongyue
    Li, Song
    Liu, Hongria
    PROGRESS ON POST-GENOME TECHNOLOGIES, 2007, : 41 - 43
  • [39] A high-throughput apple SNP genotyping platform using the GoldenGate™ assay
    Khan, M. Awais
    Han, Yuepeng
    Zhao, Youfu Frank
    Korban, Schuyler S.
    GENE, 2012, 494 (02) : 196 - 201
  • [40] SNP high-throughput screening in grapevine using the SNPlex™ genotyping system
    Pindo, Massimo
    Vezzulli, Silvia
    Coppola, Giuseppina
    Cartwright, Dustin A.
    Zharkikh, Andrey
    Velasco, Riccardo
    Troggio, Michela
    BMC PLANT BIOLOGY, 2008, 8 (1)