Literature DB >> 12920518

Mapping osmotic adjustment in an advanced back-cross inbred population of rice.

S Robin1, M S Pathan, B Courtois, R Lafitte, S Carandang, S Lanceras, M Amante, H T Nguyen, Z Li.   

Abstract

Osmotic adjustment is one of several characters putatively associated with drought tolerance in rice. Indica cultivars are known to have a greater capacity for osmotic adjustment than japonica cultivars. We developed an advanced back-cross population using an indica donor, IR62266-42-6-2, to introgress osmotic adjustment into an elite japonica cultivar, IR60080-46A. One hundred and fifty BC(3)F(3) families were genotyped using microsatellites and RFLP markers, and a few candidate genes. We evaluated osmotic adjustment in these lines under greenhouse conditions using the re-hydration technique. Using the composite interval mapping technique, we detected 14 QTLs located on chromosomes 1, 2, 3, 4, 5, 7, 8 and 10 that together explained 58% of the phenotypic variability. Most, but not all, of the alleles with positive effects came from the donor parent. On chromosome 8, two QTLs were associated in repulsion. The QTL locations were in good agreement with previous studies on this trait on rice and in other cereals. Some BC(3)F(3) lines carried the favorable alleles at the two markers flanking up to four QTLs. Intercrossing these lines followed by marker-aided selection in their progenies will be necessary to recover lines with levels of osmotic adjustment equal to the donor parent. The advanced back-cross strategy appeared to be an appropriate method to accelerate the process of introgressing interesting traits into elite material.

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Year:  2003        PMID: 12920518     DOI: 10.1007/s00122-003-1360-7

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


  9 in total

1.  Highly polymorphic microsatellites of rice consist of AT repeats, and a classification of closely related cultivars with these microsatellite loci.

Authors:  H Akagi; Y Yokozeki; A Inagaki; T Fujimura
Journal:  Theor Appl Genet       Date:  1997-01       Impact factor: 5.699

2.  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

3.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

4.  A 300 kilobase interval genetic map of rice including 883 expressed sequences.

Authors:  N Kurata; Y Nagamura; K Yamamoto; Y Harushima; N Sue; J Wu; B A Antonio; A Shomura; T Shimizu; S Y Lin
Journal:  Nat Genet       Date:  1994-12       Impact factor: 38.330

5.  Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics.

Authors:  M A Saghai-Maroof; K M Soliman; R A Jorgensen; R W Allard
Journal:  Proc Natl Acad Sci U S A       Date:  1984-12       Impact factor: 11.205

6.  QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice ( Oryza sativa) using microsatellite markers.

Authors:  C. Brondani; N. Rangel; V. Brondani; E. Ferreira
Journal:  Theor Appl Genet       Date:  2002-04-06       Impact factor: 5.699

7.  Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.).

Authors:  O Panaud; X Chen; S R McCouch
Journal:  Mol Gen Genet       Date:  1996-10-16

8.  Advanced backcross QTL analysis in a cross between an elite processing line of tomato and its wild relative L. pimpinellifolium.

Authors:  S D Tanksley; S Grandillo; T M Fulton; D Zamir; Y Eshed; V Petiard; J Lopez; T Beck-Bunn
Journal:  Theor Appl Genet       Date:  1996-02       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
  26 in total

1.  Genetic analysis for drought resistance of rice at reproductive stage in field with different types of soil.

Authors:  Bing Yue; Lizhong Xiong; Weiya Xue; Yongzhong Xing; Lijun Luo; Caiguo Xu
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

2.  Fine mapping of the qLOP2 and qPSR2-1 loci associated with chilling stress tolerance of wild rice seedlings.

Authors:  Ning Xiao; Wei-nan Huang; Ai-hong Li; Yong Gao; Yu-hong Li; Cun-hong Pan; Hongjuan Ji; Xiao-xiang Zhang; Yi Dai; Zheng-yuan Dai; Jian-min Chen
Journal:  Theor Appl Genet       Date:  2014-11-04       Impact factor: 5.699

3.  Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance.

Authors:  Bing Yue; Weiya Xue; Lizhong Xiong; Xinqiao Yu; Lijun Luo; Kehui Cui; Deming Jin; Yongzhong Xing; Qifa Zhang
Journal:  Genetics       Date:  2005-11-04       Impact factor: 4.562

4.  Identification of drought tolerance determinants by genetic analysis of root response to drought stress and abscisic Acid.

Authors:  Liming Xiong; Rui-Gang Wang; Guohong Mao; Jessica M Koczan
Journal:  Plant Physiol       Date:  2006-09-08       Impact factor: 8.340

5.  Identification of functional candidate genes for drought tolerance in rice.

Authors:  Bin-Ying Fu; Jian-Hua Xiong; Ling-Hua Zhu; Xiu-Qin Zhao; Hua-Xue Xu; Yong-Ming Gao; Yang-Sheng Li; Jian-Long Xu; Zhi-Kang Li
Journal:  Mol Genet Genomics       Date:  2007-07-31       Impact factor: 3.291

6.  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

7.  Aerobic rice genotypes displayed greater adaptation to water-limited cultivation and tolerance to polyethyleneglycol-6000 induced stress.

Authors:  Nitika Sandhu; Sunita Jain; K R Battan; R K Jain
Journal:  Physiol Mol Biol Plants       Date:  2011-12-10

8.  Insight into differential responses of upland and paddy rice to drought stress by comparative expression profiling analysis.

Authors:  Xipeng Ding; Xiaokai Li; Lizhong Xiong
Journal:  Int J Mol Sci       Date:  2013-03-04       Impact factor: 5.923

9.  Dissecting rice polyamine metabolism under controlled long-term drought stress.

Authors:  Phuc Thi Do; Thomas Degenkolbe; Alexander Erban; Arnd G Heyer; Joachim Kopka; Karin I Köhl; Dirk K Hincha; Ellen Zuther
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

10.  Genetic, physiological, and gene expression analyses reveal that multiple QTL enhance yield of rice mega-variety IR64 under drought.

Authors:  B P Mallikarjuna Swamy; Helal Uddin Ahmed; Amelia Henry; Ramil Mauleon; Shalabh Dixit; Prashant Vikram; Ram Tilatto; Satish B Verulkar; Puvvada Perraju; Nimai P Mandal; Mukund Variar; S Robin; Ranganath Chandrababu; Onkar N Singh; Jawaharlal L Dwivedi; Sankar Prasad Das; Krishna K Mishra; Ram B Yadaw; Tamal Lata Aditya; Biswajit Karmakar; Kouji Satoh; Ali Moumeni; Shoshi Kikuchi; Hei Leung; Arvind Kumar
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

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