Literature DB >> 16200414

QTLs for drought escape and tolerance identified in a set of random introgression lines of rice.

J L Xu1, H R Lafitte, Y M Gao, B Y Fu, R Torres, Z K Li.   

Abstract

A large set of 254 introgression lines in an elite indica genetic background were evaluated for grain yield (GY) and related traits under the irrigated (control) and drought (stress) conditions in two consecutive years for genetic dissection of adaptive strategies of rice to water stress. A total of 36 quantitative trait loci (QTLs) affecting heading date (HD), plant height (PH), GY and yield components were identified and most QTLs showed pronounced differential expression either qualitatively or quantitatively in response to drought. These QTLs could be grouped into three major types based on their behaviors under control and stress conditions. Type I included 12 QTLs that expressed under both the stress and non-stress conditions. Type II comprised 17 QTLs that expressed under irrigation but not under stress. Type III included seven QTLs that were apparently induced by stress. The observation that the Lemont (japonica) alleles at all HD QTLs except QHd5 resulted in early heading under stress appeared to be responsible for the putative adaptation of Lemont to drought by escaping, whereas the Teqing (indica) alleles at most PH/GY QTLs were consistently associated with increased yield potential and trait stability and thus contributed to DT. Our result that most DT QTLs were non-allelic with QTLs for drought escaping suggests that the two adaptive strategies in the parental lines are under possible negative regulation of two largely non-overlapping genetic systems.

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Year:  2005        PMID: 16200414     DOI: 10.1007/s00122-005-0099-8

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


  11 in total

1.  QTL x environment interactions in rice. I. heading date and plant height.

Authors:  Z K Li; S B Yu; H R Lafitte; N Huang; B Courtois; S Hittalmani; C H M Vijayakumar; G F Liu; G C Wang; H E Shashidhar; J Y Zhuang; K L Zheng; V P Singh; J S Sidhu; S Srivantaneeyakul; G S Khush
Journal:  Theor Appl Genet       Date:  2003-09-05       Impact factor: 5.699

2.  Yield response to water deficit in an upland rice mapping population: associations among traits and genetic markers.

Authors:  H R Lafitte; A H Price; B Courtois
Journal:  Theor Appl Genet       Date:  2004-07-29       Impact factor: 5.699

3.  Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers.

Authors:  M C Champoux; G Wang; S Sarkarung; D J Mackill; J C O'Toole; N Huang; S R McCouch
Journal:  Theor Appl Genet       Date:  1995-06       Impact factor: 5.699

4.  Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines.

Authors:  S D Tanksley; J C Nelson
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

5.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

6.  Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.

Authors:  M J Thomson; T H Tai; A M McClung; X-H Lai; M E Hinga; K B Lobos; Y Xu; C P Martinez; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-05-08       Impact factor: 5.699

Review 7.  Plant breeding and drought in C3 cereals: what should we breed for?

Authors:  J L Araus; G A Slafer; M P Reynolds; C Royo
Journal:  Ann Bot       Date:  2002-06       Impact factor: 4.357

8.  Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat ( Triticum aestivum L.).

Authors:  X Q Huang; H Cöster; M W Ganal; M S Röder
Journal:  Theor Appl Genet       Date:  2003-02-11       Impact factor: 5.699

9.  Quantitative trait loci associated with drought tolerance at reproductive stage in rice.

Authors:  Jonaliza C Lanceras; Grienggrai Pantuwan; Boonrat Jongdee; Theerayut Toojinda
Journal:  Plant Physiol       Date:  2004-04-30       Impact factor: 8.340

10.  Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.).

Authors:  J D Ray; L Yu; S R McCouch; M C Champoux; G Wang; H T Nguyen
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

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  22 in total

1.  Highly efficient genotyping of rice biparental populations by GoldenGate assays based on parental resequencing.

Authors:  Wei Chen; Haodong Chen; Tianqing Zheng; Renbo Yu; William Bryan Terzaghi; Zhikang Li; Xing Wang Deng; Jianlong Xu; Hang He
Journal:  Theor Appl Genet       Date:  2013-11-05       Impact factor: 5.699

2.  Utilization of genetic diversity and marker-trait to improve drought tolerance in rice (Oryza sativa L.).

Authors:  Mohamed I Ghazy; Khaled F M Salem; Ahmed Sallam
Journal:  Mol Biol Rep       Date:  2020-12-10       Impact factor: 2.316

3.  Selecting a set of wild barley introgression lines and verification of QTL effects for resistance to powdery mildew and leaf rust.

Authors:  Inga Schmalenbach; Niklas Körber; Klaus Pillen
Journal:  Theor Appl Genet       Date:  2008-07-29       Impact factor: 5.699

4.  GIGANTEA enables drought escape response via abscisic acid-dependent activation of the florigens and SUPPRESSOR OF OVEREXPRESSION OF CONSTANS.

Authors:  Matteo Riboni; Massimo Galbiati; Chiara Tonelli; Lucio Conti
Journal:  Plant Physiol       Date:  2013-05-29       Impact factor: 8.340

5.  A Drought-Inducible Transcription Factor Delays Reproductive Timing in Rice.

Authors:  Chunyu Zhang; Jun Liu; Tao Zhao; Adam Gomez; Cong Li; Chunsheng Yu; Hongyu Li; Jianzhong Lin; Yuanzhu Yang; Bin Liu; Chentao Lin
Journal:  Plant Physiol       Date:  2016-03-04       Impact factor: 8.340

6.  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

7.  qDTY₁.₁, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds.

Authors:  Prashant Vikram; B P Mallikarjuna Swamy; Shalabh Dixit; Helal Uddin Ahmed; Ma Teresa Sta Cruz; Alok Kumar Singh; Arvind Kumar
Journal:  BMC Genet       Date:  2011-10-18       Impact factor: 2.797

8.  Identification of drought tolerance markers in a diverse population of rice cultivars by expression and metabolite profiling.

Authors:  Thomas Degenkolbe; Phuc T Do; Joachim Kopka; Ellen Zuther; Dirk K Hincha; Karin I Köhl
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

9.  Genetic mapping of wild introgressions into cultivated peanut: a way toward enlarging the genetic basis of a recent allotetraploid.

Authors:  Daniel Foncéka; Tossim Hodo-Abalo; Ronan Rivallan; Issa Faye; Mbaye Ndoye Sall; Ousmane Ndoye; Alessandra P Fávero; David J Bertioli; Jean-Christophe Glaszmann; Brigitte Courtois; Jean-Francois Rami
Journal:  BMC Plant Biol       Date:  2009-08-03       Impact factor: 4.215

Review 10.  Towards the understanding of complex traits in rice: substantially or superficially?

Authors:  Toshio Yamamoto; Junichi Yonemaru; Masahiro Yano
Journal:  DNA Res       Date:  2009-04-09       Impact factor: 4.458

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