Literature DB >> 15765223

QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments.

Zichao Li1, Ping Mu, Chunping Li, Hongliang Zhang, Zhikang Li, Yongming Gao, Xiangkun Wang.   

Abstract

To genetically dissect drought resistance associated with japonica upland rice, we evaluated a doubled haploid (DH) population from a cross between two japonica cultivars for seven root traits under three different growing conditions (upland, lowland and upland in PVC pipe). The traits included basal root thickness (BRT), total root number (RN), maximum root length (MRL), root fresh weight (RFW), root dry weight (RDW), ratio of root fresh weight to shoot fresh weight (RFW/SFW) and ratio of root dry weight to shoot dry weight (RDW/SDW). The BRT was significantly correlated with the index of drought resistance, which was defined as the ratio of yield under the stress of the upland condition to that under the normal lowland condition. A complete genetic linkage map with 165 molecular markers covering 1,535 cM was constructed. Seven additive quantitative trait loci (QTLs) and 15 pairs of epistatic loci for BRT and RN were identified under upland and lowland conditions, and 12 additive QTLs and 17 pairs of epistatic QTLs for BRT, RN, MRL, RFW, RFW/SFW and RDW/SDW were identified under the PVC pipe condition. Four additive QTLs and one pair of epistatic QTLs controlling IDR were also found. These QTLs individually explained up to 25.6% of the phenotypic variance. QTL x environment (Q x E) interactions were detected for all root traits, and the contributions of these interactions ranged from 1.1% to 19.9%. Five co-localized QTLs controlling RFW and RDW, RFW/SFW, RDW/SDW and IDR, BRT and RN, RN, MRL and IDR were found. Four types of QTLs governing BRT and RN were classified by their detection in the upland and lowland conditions. Some common QTLs for root traits across different backgrounds were also revealed. These co-localized QTLs and common QTLs will facilitate marker-assisted selection for root traits in rice breeding programs.

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Year:  2005        PMID: 15765223     DOI: 10.1007/s00122-005-1958-z

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


  7 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.  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

3.  Effects of Phenotyping Environment on Identification of Quantitative Trait Loci for Rice Root Morphology under Anaerobic Conditions.

Authors:  A. Kamoshita; Jingxian Zhang; J. Siopongco; S. Sarkarung; H. T. Nguyen; L. J. Wade
Journal:  Crop Sci       Date:  2002-01       Impact factor: 2.319

4.  Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions.

Authors:  A. Kamoshita; J. Wade; L. Ali; S. Pathan; J. Zhang; S. Sarkarung; T. Nguyen
Journal:  Theor Appl Genet       Date:  2002-02-22       Impact factor: 5.699

5.  Molecular mapping of rice chromosomes.

Authors:  S R McCouch; G Kochert; Z H Yu; Z Y Wang; G S Khush; W R Coffman; S D Tanksley
Journal:  Theor Appl Genet       Date:  1988-12       Impact factor: 5.699

6.  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

7.  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

  7 in total
  30 in total

1.  Quantitative trait loci for cold tolerance of rice recombinant inbred lines in low temperature environments.

Authors:  Wenzhu Jiang; Yong-Mei Jin; Joohyun Lee; Kang-Ie Lee; Rihua Piao; Longzhi Han; Jin-Chul Shin; Rong-De Jin; Tiehua Cao; Hong-Yu Pan; Xinglin Du; Hee-Jong Koh
Journal:  Mol Cells       Date:  2011-11-09       Impact factor: 5.034

2.  Genomic associations for drought tolerance on the short arm of wheat chromosome 4B.

Authors:  Suhas Kadam; Kalpana Singh; Sanyukta Shukla; Sonia Goel; Prashant Vikram; Vasantrao Pawar; Kishor Gaikwad; Renu Khanna-Chopra; Nagendra Singh
Journal:  Funct Integr Genomics       Date:  2012-04-05       Impact factor: 3.410

3.  Identification of quantitative trait loci that regulate Arabidopsis root system size and plasticity.

Authors:  Jonathan N Fitz Gerald; Melissa D Lehti-Shiu; Paul A Ingram; Karen I Deak; Theresa Biesiada; Jocelyn E Malamy
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

4.  Mapping QTLs of root morphological traits at different growth stages in rice.

Authors:  Yanying Qu; Ping Mu; Hongliang Zhang; Charles Y Chen; Yongming Gao; Yuxiu Tian; Feng Wen; Zichao Li
Journal:  Genetica       Date:  2007-09-07       Impact factor: 1.082

Review 5.  Intervention of molecular breeding in water saving rice production system: aerobic rice.

Authors:  Rahul Kumar Meena; Nabin Bhusal; Kuldeep Kumar; Rajinder Jain; Sunita Jain
Journal:  3 Biotech       Date:  2019-03-07       Impact factor: 2.406

6.  Reduced Lateral Root Branching Density Improves Drought Tolerance in Maize.

Authors:  Ai Zhan; Hannah Schneider; Jonathan P Lynch
Journal:  Plant Physiol       Date:  2015-06-15       Impact factor: 8.340

7.  A simplified conceptual model of carbon/nitrogen functioning for QTL analysis of winter wheat adaptation to nitrogen deficiency.

Authors:  A Laperche; F Devienne-Barret; O Maury; J Le Gouis; B Ney
Journal:  Theor Appl Genet       Date:  2006-08-15       Impact factor: 5.699

8.  Fine-mapping of qRL6.1, a major QTL for root length of rice seedlings grown under a wide range of NH4(+) concentrations in hydroponic conditions.

Authors:  Mitsuhiro Obara; Wataru Tamura; Takeshi Ebitani; Masahiro Yano; Tadashi Sato; Tomoyuki Yamaya
Journal:  Theor Appl Genet       Date:  2010-08       Impact factor: 5.699

9.  Shared Genetic Control of Root System Architecture between Zea mays and Sorghum bicolor.

Authors:  Zihao Zheng; Stefan Hey; Talukder Jubery; Huyu Liu; Yu Yang; Lisa Coffey; Chenyong Miao; Brandi Sigmon; James C Schnable; Frank Hochholdinger; Baskar Ganapathysubramanian; Patrick S Schnable
Journal:  Plant Physiol       Date:  2019-11-18       Impact factor: 8.340

10.  Constitutively wilted 1, a member of the rice YUCCA gene family, is required for maintaining water homeostasis and an appropriate root to shoot ratio.

Authors:  Young-Min Woo; Hee-Jin Park; Mukhamad Su'udi; Jung-Il Yang; Jong-Jin Park; Kyoungwhan Back; Yong-Mok Park; Gynheung An
Journal:  Plant Mol Biol       Date:  2007-07-06       Impact factor: 4.076

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