Literature DB >> 20816386

Novel pleiotropic loci controlling panicle architecture across environments in japonica rice (Oryza sativa L.).

Yuan Guo1, Delin Hong.   

Abstract

To identify quantitative trait loci (QTLs) controlling panicle architecture in japonica rice, a genetic map was constructed based on simple sequence repeat (SSR) markers and 254 recombinant inbred lines (RILs) derived from a cross between cultivars Xiushui 79 and C Bao. Seven panicle traits were investigated under three environments. Single marker analysis indicated that a total of 27 SSR markers were highly associated with panicle traits in all the three environments. Percentage of phenotypic variation explained by single locus varied from 2% to 35%. Based on the mixed linear model, a total of 40 additive QTLs for seven panicle traits were detected by composite interval mapping, explaining 1.2%-35% of phenotypic variation. Among the 9 QTLs with more than 10% of explained phenotypic variation, two QTLs were for the number of primary branches per panicle (NPB), two for panicle length (PL), two for spikelet density (SD), one for the number of secondary branches per panicle (NSB), one for secondary branch distribution density (SBD), and one for the number of spikelets per panicle (NS), respectively. qPLSD-9-1 and qPLSD-9-2 were novel pleiotropic loci, showing effects on PL and SD simultaneously. qPLSD-9-1 explained 34.7% of the phenotypic variation for PL and 25.4% of the phenotypic variation for SD, respectively. qPLSD-9-2 explained 34.9% and 24.4% of the phenotypic variation for PL and SD, respectively. The C Bao alleles at the both QTLs showed positive effects on PL, and the Xiushui 79 alleles at the both QTLs showed positive effects on SD. Genetic variation of panicle traits are mainly attributed to additive effects. QTL x environment interactions were not significant for additive QTLs and additive x additive QTL pairs.

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Year:  2010        PMID: 20816386     DOI: 10.1016/S1673-8527(09)60073-4

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  6 in total

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Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

2.  Molecular Dissection of Quantitative Variation in Bermudagrass Hybrids (Cynodon dactylon x transvaalensis): Morphological Traits.

Authors:  Sameer Khanal; Jeffrey C Dunne; Brian M Schwartz; Changsoo Kim; Susana Milla-Lewis; Paul L Raymer; Wayne W Hanna; Jeevan Adhikari; Susan A Auckland; Lisa Rainville; Andrew H Paterson
Journal:  G3 (Bethesda)       Date:  2019-08-08       Impact factor: 3.154

3.  Development of Three Sets of High-Throughput Genotyped Rice Chromosome Segment Substitution Lines and QTL Mapping for Eleven Traits.

Authors:  Bin Zhang; Lianguang Shang; Banpu Ruan; Anpeng Zhang; Shenglong Yang; Hongzhen Jiang; Chaolei Liu; Kai Hong; Hai Lin; Zhenyu Gao; Jiang Hu; Dali Zeng; Longbiao Guo; Qian Qian
Journal:  Rice (N Y)       Date:  2019-05-10       Impact factor: 4.783

Review 4.  More and more of less and less: Is genomics-based breeding of dry direct-seeded rice (DDSR) varieties the need of hour?

Authors:  Deepti B Sagare; Ragavendran Abbai; Abhinav Jain; Pranesh K Jayadevappa; Shilpi Dixit; Arun Kumar Singh; Venkateshwarlu Challa; Shamshad Alam; Uma Maheshwar Singh; Shailesh Yadav; Nitika Sandhu; Pramod G Kabade; Vikas Kumar Singh; Arvind Kumar
Journal:  Plant Biotechnol J       Date:  2020-08-11       Impact factor: 9.803

5.  Variation in heading date conceals quantitative trait loci for other traits of importance in breeding selection of rice.

Authors:  Kiyosumi Hori; Tomomori Kataoka; Kiyoyuki Miura; Masayuki Yamaguchi; Norikuni Saka; Takahiro Nakahara; Yoshihiro Sunohara; Kaworu Ebana; Masahiro Yano
Journal:  Breed Sci       Date:  2012-11-01       Impact factor: 2.086

6.  Identification of a Novel QTL for Panicle Length From Wild Rice (Oryza minuta) by Specific Locus Amplified Fragment Sequencing and High Density Genetic Mapping.

Authors:  Zhengzheng Zhu; Xiaoqiong Li; Yu Wei; Sibin Guo; Aihua Sha
Journal:  Front Plant Sci       Date:  2018-10-16       Impact factor: 5.753

  6 in total

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