Literature DB >> 12595994

Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice.

K H Cui1, S B Peng, Y Z Xing, S B Yu, C G Xu, Q Zhang.   

Abstract

Source, sink, and translocation capacity of assimilates play important roles during the formation of grain yield. The present study was conducted to characterize the genetic bases of traits representing source, sink and transport tissue, and their relationships with yield traits in rice, by analyzing QTLs for these traits and various ratios among them. The genetic materials were a recombinant inbred population derived from a cross between two indica cultivars Zhenshan 97 and Minghui 63, the parents of the most-widely grown hybrid rice in China. Using a linkage map that covers a total of 1,796 cM based on 221 molecular marker loci, a total of 81 QTLs were identified for the 15 traits studied (three leaf areas as the source, total spikelets per panicle as the sink, the number of large vascular bundles in the stem as transport tissue, three source to sink ratios, three transport tissue to source ratios, one transport tissue to sink ratio and three yield traits). The amount of variation explained by individual QTLs ranged from 1.12% to 24.14%. Five QTLs were identified to show interaction effects with the environment, which explained from 3.19% to 9.15% of the variation. The results showed that close linkage or pleiotropy is the genetic basis for the correlations of grain yield traits with source, sink, transport tissue and the various ratios among them. Of the 25 QTLs identified for source-sink-transport tissue trait, and 43 for various ratios, 8 and 22 QTLs, respectively, were mapped to the similar genomic blocks harboring QTLs for yield traits, especially for grain weight. Co-location of QTLs for yield traits with those for ratios among source, sink and transport tissue may provide a genetic explanation for the physiological expression of yield traits, and also suggest that improvement in ratios among source, sink and transport tissue may result in improvement in yield potential.

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Year:  2002        PMID: 12595994     DOI: 10.1007/s00122-002-1113-z

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  34 in total

1.  Characterization of three wheat grain weight QTLs that differentially affect kernel dimensions.

Authors:  Yulong Huang; Zhongxin Kong; Xinyi Wu; Ruiru Cheng; Dong Yu; Zhengqiang Ma
Journal:  Theor Appl Genet       Date:  2015-09-03       Impact factor: 5.699

2.  Heterosis and polymorphisms of gene expression in an elite rice hybrid as revealed by a microarray analysis of 9198 unique ESTs.

Authors:  Yi Huang; Lida Zhang; Jianwei Zhang; Dejun Yuan; Caiguo Xu; Xianghua Li; Daoxiu Zhou; Shiping Wang; Qifa Zhang
Journal:  Plant Mol Biol       Date:  2006-08-29       Impact factor: 4.076

3.  NARROW LEAF 7 controls leaf shape mediated by auxin in rice.

Authors:  Kenji Fujino; Yasuyuki Matsuda; Kenjirou Ozawa; Takeshi Nishimura; Tomokazu Koshiba; Marco W Fraaije; Hiroshi Sekiguchi
Journal:  Mol Genet Genomics       Date:  2008-05       Impact factor: 3.291

4.  Quantitative trait loci controlling Cu, Ca, Zn, Mn and Fe content in rice grains.

Authors:  Kaiyang Lu; Lanzhi Li; Xingfei Zheng; Zhihong Zhang; Tongmin Mou; Zhongli Hu
Journal:  J Genet       Date:  2008-12       Impact factor: 1.166

5.  QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai x Yu8679.

Authors:  R X Wang; L Hai; X Y Zhang; G X You; C S Yan; S H Xiao
Journal:  Theor Appl Genet       Date:  2008-10-14       Impact factor: 5.699

6.  Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations.

Authors:  Hong Zhang; Fa Cui; Lin Wang; Jun Li; Anming Ding; Chunhua Zhao; Yinguang Bao; Qiuping Yang; Honggang Wang
Journal:  J Genet       Date:  2013       Impact factor: 1.166

7.  Validation and dissection of quantitative trait loci for leaf traits in interval RM4923-RM402 on the short arm of rice chromosome 6.

Authors:  Bo Shen; Wei-Dong Yu; Jing-Hong Du; Ye-Yang Fan; Ji-Rong Wu; Jie-Yun Zhuang
Journal:  J Genet       Date:  2011-04       Impact factor: 1.166

8.  Fine mapping a major QTL for flag leaf size and yield-related traits in rice.

Authors:  Peng Wang; Guilin Zhou; Huihui Yu; Sibin Yu
Journal:  Theor Appl Genet       Date:  2011-08-10       Impact factor: 5.699

Review 9.  Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.

Authors:  Ravi Valluru; Matthew P Reynolds; Jerome Salse
Journal:  Theor Appl Genet       Date:  2014-06-10       Impact factor: 5.699

10.  QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.).

Authors:  H W Mei; J L Xu; Z K Li; X Q Yu; L B Guo; Y P Wang; C S Ying; L J Luo
Journal:  Theor Appl Genet       Date:  2005-12-06       Impact factor: 5.699

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