Literature DB >> 19242671

Detection of a quantitative trait locus controlling carbon isotope discrimination and its contribution to stomatal conductance in japonica rice.

Toshiyuki Takai1, Akihiro Ohsumi, Yumiko San-oh, Ma Rebecca C Laza, Motohiko Kondo, Toshio Yamamoto, Masahiro Yano.   

Abstract

Increasing leaf photosynthesis offers a possible way to improve yield potential in rice (Oryza sativa L.). Carbon isotope discrimination (Delta(13)C) has potential as an indirect selection criterion. In this study, we searched for quantitative trait loci (QTLs) controlling Delta(13)C, and assessed their association with leaf photosynthesis. Substitution mapping by using chromosome segment substitution lines (CSSLs), that carry segments from the indica cultivar Kasalath in the genetic background of the japonica cultivar Koshihikari, identified genomic regions affecting Delta(13)C on chromosomes (Chr.) 2, 3, 6, 7, and 12. One of the CSSLs, SL208, in which most regions on Chr. 3 were substituted with Kasalath segments, showed higher leaf stomatal conductance for CO(2) (g (s)) and Delta(13)C than Koshihikari during the vegetative stage although leaf photosynthetic rate did not differ between them. These results suggest an association between Delta(13)C and g (s). To test this association, we performed a QTL analysis for Delta(13)C at vegetative and heading stages in an F(2) population derived from a cross between SL208 and Koshihikari. The results confirmed a QTL controlling Delta(13)C on the long arm of Chr. 3. By using a near-isogenic line specific to Hd6, we ruled out the possibility that variation in Delta(13)C was generated through the pleiotropic effect of heading date.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19242671     DOI: 10.1007/s00122-009-0990-9

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


  21 in total

1.  The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley

Authors: 
Journal:  Heredity (Edinb)       Date:  1999-04       Impact factor: 3.821

2.  Hd6, a rice quantitative trait locus involved in photoperiod sensitivity, encodes the alpha subunit of protein kinase CK2.

Authors:  Y Takahashi; A Shomura; T Sasaki; M Yano
Journal:  Proc Natl Acad Sci U S A       Date:  2001-06-19       Impact factor: 11.205

3.  Genotypic difference in canopy diffusive conductance measured by a new remote-sensing method and its association with the difference in rice yield potential.

Authors:  Takeshi Horie; Shoji Matsuura; Toshiyuki Takai; Kouhei Kuwasaki; Akihiro Ohsumi; Tatsuhiko Shiraiwa
Journal:  Plant Cell Environ       Date:  2006-04       Impact factor: 7.228

4.  A model explaining genotypic and ontogenetic variation of leaf photosynthetic rate in rice (Oryza sativa) based on leaf nitrogen content and stomatal conductance.

Authors:  Akihiro Ohsumi; Akihiro Hamasaki; Hiroshi Nakagawa; Hiroe Yoshida; Tatsuhiko Shiraiwa; Takeshi Horie
Journal:  Ann Bot       Date:  2007-01-04       Impact factor: 4.357

5.  Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice.

Authors:  Tsuyu Ando; Toshio Yamamoto; Takehiko Shimizu; Xiu Fang Ma; Ayahiko Shomura; Yoshinobu Takeuchi; Shao Yang Lin; Masahiro Yano
Journal:  Theor Appl Genet       Date:  2008-02-15       Impact factor: 5.699

6.  Improving Intrinsic Water-Use Efficiency and Crop Yield.

Authors:  A. G. Condon; R. A. Richards; G. J. Rebetzke; G. D. Farquhar
Journal:  Crop Sci       Date:  2002-01       Impact factor: 2.319

7.  Permutation tests for multiple loci affecting a quantitative character.

Authors:  R W Doerge; G A Churchill
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

8.  Rapid isolation of high molecular weight plant DNA.

Authors:  M G Murray; W F Thompson
Journal:  Nucleic Acids Res       Date:  1980-10-10       Impact factor: 16.971

9.  Evaluation of genotypic variation in leaf photosynthetic rate and its associated factors by using rice diversity research set of germplasm.

Authors:  Tomomi Kanemura; Koki Homma; Akihiro Ohsumi; Tatsuhiko Shiraiwa; Takeshi Horie
Journal:  Photosynth Res       Date:  2007-07-21       Impact factor: 3.573

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

View more
  7 in total

1.  Quantitative trait loci for water-use efficiency in barley (Hordeum vulgare L.) measured by carbon isotope discrimination under rain-fed conditions on the Canadian Prairies.

Authors:  Jing Chen; Scott X Chang; Anthony O Anyia
Journal:  Theor Appl Genet       Date:  2012-02-15       Impact factor: 5.699

2.  Stable carbon isotope discrimination is under genetic control in the C4 species maize with several genomic regions influencing trait expression.

Authors:  Sebastian Gresset; Peter Westermeier; Svenja Rademacher; Milena Ouzunova; Thomas Presterl; Peter Westhoff; Chris-Carolin Schön
Journal:  Plant Physiol       Date:  2013-11-26       Impact factor: 8.340

3.  Using chromosome introgression lines to map quantitative trait loci for photosynthesis parameters in rice (Oryza sativa L.) leaves under drought and well-watered field conditions.

Authors:  Junfei Gu; Xinyou Yin; Paul C Struik; Tjeerd Jan Stomph; Huaqi Wang
Journal:  J Exp Bot       Date:  2011-10-06       Impact factor: 6.992

4.  A hairy-leaf gene, BLANKET LEAF, of wild Oryza nivara increases photosynthetic water use efficiency in rice.

Authors:  Norimitsu Hamaoka; Hideshi Yasui; Yoshiyuki Yamagata; Yoko Inoue; Naruto Furuya; Takuya Araki; Osamu Ueno; Atsushi Yoshimura
Journal:  Rice (N Y)       Date:  2017-05-12       Impact factor: 4.783

Review 5.  Introgression Lines: Valuable Resources for Functional Genomics Research and Breeding in Rice (Oryza sativa L.).

Authors:  Bo Zhang; Ling Ma; Bi Wu; Yongzhong Xing; Xianjin Qiu
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

6.  Physiological basis of genetic variation in leaf photosynthesis among rice (Oryza sativa L.) introgression lines under drought and well-watered conditions.

Authors:  Junfei Gu; Xinyou Yin; Tjeerd-Jan Stomph; Huaqi Wang; Paul C Struik
Journal:  J Exp Bot       Date:  2012-08-09       Impact factor: 6.992

7.  Advanced backcross QTL analysis reveals complicated genetic control of rice grain shape in a japonica × indica cross.

Authors:  Kazufumi Nagata; Tsuyu Ando; Yasunori Nonoue; Tatsumi Mizubayashi; Noriyuki Kitazawa; Ayahiko Shomura; Kazuki Matsubara; Nozomi Ono; Ritsuko Mizobuchi; Taeko Shibaya; Eri Ogiso-Tanaka; Kiyosumi Hori; Masahiro Yano; Shuichi Fukuoka
Journal:  Breed Sci       Date:  2015-09-01       Impact factor: 2.086

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.