Literature DB >> 15723276

Flowering response of rice to photoperiod and temperature: a QTL analysis using a phenological model.

H Nakagawa1, J Yamagishi, N Miyamoto, M Motoyama, M Yano, K Nemoto.   

Abstract

In this study we have attempted to quantify the thermal and photoperiodical responses of rice (Oryza sativa L.) flowering time QTLs jointly by a 'date-of-planting' field experiment of a mapping population, and a 'phenological model' analysis that separately parameterizes the two responses, based on daily temperature, daily photoperiod and flowering date. For this purpose, the 'three-stage Beta model', which parameterizes the sensitivity to temperature (parameter alpha), the sensitivity to photoperiod (parameter beta), and earliness under optimal conditions (10 h photoperiod at 30 degrees C) (parameter G), was applied to 'Nipponbare' x 'Kasalath' backcross inbred lines that were transplanted on five dates. QTLs for the beta value were detected in the four known flowering time QTL (Hd1, Hd2, Hd6 and Hd8) regions, while QTLs for the G value were detected only in the Hd1 and Hd2 regions. This result was consistent with previous reports on near-isogenic lines (NILs) of Hd1, Hd2 and Hd6, where these loci were involved in photoperiod sensitivity, and where Hd1 and Hd2 conferred altered flowering under both 10 and 14 h photoperiods, while Hd6 action was only affected by the 14 h photoperiod. Hd8 was shown to control photoperiod sensitivity for the first time. Interestingly, Hd1 and Hd2 were associated with a QTL for the alpha value, which might support the previous hypothesis that the process of photoinduction depends on temperature. These results demonstrate that our approach can effectively quantify environmental responses of flowering time QTLs without controlled environments or NILs.

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Year:  2005        PMID: 15723276     DOI: 10.1007/s00122-004-1905-4

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


  9 in total

1.  Identification of heading date quantitative trait locus Hd6 and characterization of its epistatic interactions with Hd2 in rice using advanced backcross progeny.

Authors:  T Yamamoto; H Lin; T Sasaki; M Yano
Journal:  Genetics       Date:  2000-02       Impact factor: 4.562

2.  Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley.

Authors:  X Yin; S D Chasalow; C J Dourleijn; P Stam; M J Kropff
Journal:  Heredity (Edinb)       Date:  2000-12       Impact factor: 3.821

3.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

Review 4.  Genetic control of flowering time in rice, a short-day plant.

Authors:  M Yano; S Kojima; Y Takahashi; H Lin; T Sasaki
Journal:  Plant Physiol       Date:  2001-12       Impact factor: 8.340

5.  Genetic dissection of a genomic region for a quantitative trait locus, Hd3, into two loci, Hd3a and Hd3b, controlling heading date in rice.

Authors:  L. Monna; X. Lin; S. Kojima; T. Sasaki; M. Yano
Journal:  Theor Appl Genet       Date:  2002-02-06       Impact factor: 5.699

6.  Combining quantitative trait Loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit.

Authors:  Matthieu Reymond; Bertrand Muller; Agnès Leonardi; Alain Charcosset; François Tardieu
Journal:  Plant Physiol       Date:  2003-02       Impact factor: 8.340

7.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

8.  Identification of quantitative trait loci (QTLs) for heading date and plant height in cultivated rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; J W Stansel; W D Park
Journal:  Theor Appl Genet       Date:  1995-07       Impact factor: 5.699

9.  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

  9 in total
  24 in total

1.  Towards the adaptation of grapevine varieties to climate change: QTLs and candidate genes for developmental stages.

Authors:  Eric Duchêne; Gisèle Butterlin; Vincent Dumas; Didier Merdinoglu
Journal:  Theor Appl Genet       Date:  2011-11-04       Impact factor: 5.699

2.  Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.

Authors:  Junfei Gu; Xinyou Yin; Chengwei Zhang; Huaqi Wang; Paul C Struik
Journal:  Ann Bot       Date:  2014-07-01       Impact factor: 4.357

3.  Herbarium specimens reveal substantial and unexpected variation in phenological sensitivity across the eastern United States.

Authors:  Daniel S Park; Ian Breckheimer; Alex C Williams; Edith Law; Aaron M Ellison; Charles C Davis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-11-19       Impact factor: 6.237

Review 4.  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

5.  Using a physiological framework for improving the detection of quantitative trait loci related to nitrogen nutrition in Medicago truncatula.

Authors:  Delphine Moreau; Judith Burstin; Grégoire Aubert; Thierry Huguet; Cécile Ben; Jean-Marie Prosperi; Christophe Salon; Nathalie Munier-Jolain
Journal:  Theor Appl Genet       Date:  2011-11-24       Impact factor: 5.699

6.  Life-history QTLS and natural selection on flowering time in Boechera stricta, a perennial relative of Arabidopsis.

Authors:  Jill T Anderson; Cheng-Ruei Lee; Thomas Mitchell-Olds
Journal:  Evolution       Date:  2010-11-17       Impact factor: 3.694

7.  Analysis of reciprocal-transfer experiments to estimate the length of phases having different responses to temperature.

Authors:  Xinyou Yin
Journal:  Ann Bot       Date:  2008-01-17       Impact factor: 4.357

8.  Genetic structure and differentiation of Oryza sativa L. in China revealed by microsatellites.

Authors:  Dongling Zhang; Hongliang Zhang; Meixing Wang; Junli Sun; Yongwen Qi; Fengmei Wang; Xinghua Wei; Longzhi Han; Xiangkun Wang; Zichao Li
Journal:  Theor Appl Genet       Date:  2009-08-01       Impact factor: 5.699

9.  Toward integration of genomic selection with crop modelling: the development of an integrated approach to predicting rice heading dates.

Authors:  Akio Onogi; Maya Watanabe; Toshihiro Mochizuki; Takeshi Hayashi; Hiroshi Nakagawa; Toshihiro Hasegawa; Hiroyoshi Iwata
Journal:  Theor Appl Genet       Date:  2016-01-20       Impact factor: 5.699

10.  The effect of the crosstalk between photoperiod and temperature on the heading-date in rice.

Authors:  Weijiang Luan; Huizhe Chen; Yaping Fu; Huamin Si; Wen Peng; Susheng Song; Wenzhen Liu; Guocheng Hu; Zongxiu Sun; Daoxin Xie; Chuanqing Sun
Journal:  PLoS One       Date:  2009-06-12       Impact factor: 3.240

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