Literature DB >> 16896715

Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis.

K MacMillan1, K Emrich, H-P Piepho, C E Mullins, A H Price.   

Abstract

Modifying plant root systems is considered a means of crop improvement targeted to low-resource environments, particularly low nutrient and drought-prone agriculture. The identification of quantitative trait loci (QTLs) for root traits has stimulated marker-assisted breeding to this end, but different QTLs have been detected in different populations of the same species, and importantly, in the same population when grown in different experimental environments. The presence of QTL x environment interaction is implicated, and this must be characterised if the utility of the target QTLs is to be realised. Previous attempts to do this suffer from a lack of control over replicate environments and inadequate statistical rigour. The Bala x Azucena mapping population was grown in two replicate experiments of four treatment environments, a control, a low light, a low soil nitrogen and a low soil water treatment. After a 4 weeks growth, maximum root length, maximum root thickness, root mass below 50 cm, total plant dry mass, % root mass and shoot length were measured. A summary of the overall results is presented in an accompanying paper. Here, QTL analysis by composite interval mapping is presented. A total of 145 QTLs were detected, mapping to 37 discrete loci on all chromosomes. Superficial evidence of QTL x E (great difference in LOD score) was tested by single-marker analysis which confirmed QTL x E for five loci representing only five individual trait-loci interactions. Some loci appeared to be stable across environments. Some QTLs were clearly more or less active under low light, low nitrogen or drought. A few notable loci on chromosomes 1, 2, 3, 5, 7 and 9 are briefly discussed. Also discussed are some remaining statistical shortcomings that will be addressed in another companion paper.

Entities:  

Mesh:

Year:  2006        PMID: 16896715     DOI: 10.1007/s00122-006-0357-4

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


  16 in total

1.  Optimization modeling of plant root architecture for water and phosphorus acquisition.

Authors:  Melissa D Ho; Bryan C McCannon; Jonathan P Lynch
Journal:  J Theor Biol       Date:  2004-02-07       Impact factor: 2.691

2.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

3.  Statistical significance for genomewide studies.

Authors:  John D Storey; Robert Tibshirani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-25       Impact factor: 11.205

4.  Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations.

Authors:  B S Zheng; L Yang; W P Zhang; C Z Mao; Y R Wu; K K Yi; F Y Liu; P Wu
Journal:  Theor Appl Genet       Date:  2003-08-15       Impact factor: 5.699

5.  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

6.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

Review 7.  Intrinsic and environmental response pathways that regulate root system architecture.

Authors:  J E Malamy
Journal:  Plant Cell Environ       Date:  2005-01       Impact factor: 7.228

8.  Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population. I: a soil-filled box screen.

Authors:  K MacMillan; K Emrich; H-P Piepho; C E Mullins; A H Price
Journal:  Theor Appl Genet       Date:  2006-07-28       Impact factor: 5.699

9.  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

10.  Controlling the type I and type II errors in mapping quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

View more
  30 in total

1.  Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities.

Authors:  Shalabh Dixit; B P Mallikarjuna Swamy; Prashant Vikram; H U Ahmed; M T Sta Cruz; Modesto Amante; Dinesh Atri; Hei Leung; Arvind Kumar
Journal:  Theor Appl Genet       Date:  2012-02-24       Impact factor: 5.699

2.  Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper.

Authors:  N A Alimi; M C A M Bink; J A Dieleman; J J Magán; A M Wubs; A Palloix; F A van Eeuwijk
Journal:  Theor Appl Genet       Date:  2013-08-01       Impact factor: 5.699

3.  Exploiting Differential Gene Expression and Epistasis to Discover Candidate Genes for Drought-Associated QTLs in Arabidopsis thaliana.

Authors:  John T Lovell; Jack L Mullen; David B Lowry; Kedija Awole; James H Richards; Saunak Sen; Paul E Verslues; Thomas E Juenger; John K McKay
Journal:  Plant Cell       Date:  2015-04-14       Impact factor: 11.277

4.  3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture.

Authors:  Christopher N Topp; Anjali S Iyer-Pascuzzi; Jill T Anderson; Cheng-Ruei Lee; Paul R Zurek; Olga Symonova; Ying Zheng; Alexander Bucksch; Yuriy Mileyko; Taras Galkovskyi; Brad T Moore; John Harer; Herbert Edelsbrunner; Thomas Mitchell-Olds; Joshua S Weitz; Philip N Benfey
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-11       Impact factor: 11.205

5.  Drought Resistance Loci in Recombinant Lines of Iranian Oryza sativa L. in Germination Stage.

Authors:  Morteza Noryan; Islam Majidi Hervan; Hossein Sabouri; Faroukh Darvish Kojouri; Andrea Mastinu
Journal:  BioTech (Basel)       Date:  2021-11-06

6.  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

7.  QTLs associated with root traits increase yield in upland rice when transferred through marker-assisted selection.

Authors:  K A Steele; A H Price; J R Witcombe; Roshi Shrestha; B N Singh; J M Gibbons; D S Virk
Journal:  Theor Appl Genet       Date:  2012-09-12       Impact factor: 5.699

8.  Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems.

Authors:  Anjali S Iyer-Pascuzzi; Olga Symonova; Yuriy Mileyko; Yueling Hao; Heather Belcher; John Harer; Joshua S Weitz; Philip N Benfey
Journal:  Plant Physiol       Date:  2010-01-27       Impact factor: 8.340

9.  Improved resolution in the position of drought-related QTLs in a single mapping population of rice by meta-analysis.

Authors:  Farkhanda S Khowaja; Gareth J Norton; Brigitte Courtois; Adam H Price
Journal:  BMC Genomics       Date:  2009-06-22       Impact factor: 3.969

10.  Approaches towards nitrogen- and phosphorus-efficient rice.

Authors:  K K Vinod; Sigrid Heuer
Journal:  AoB Plants       Date:  2012-10-31       Impact factor: 3.276

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.