Literature DB >> 14513216

Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

E M Septiningsih1, K R Trijatmiko, S Moeljopawiro, S R McCouch.   

Abstract

The objective of this study was to identify quantitative trait loci (QTLs) associated with grain quality in rice. Two hundred eighty-five BC(2)F(2 )families developed from an interspecific cross between cv IR64 and Oryza rufipogon (IRGC 105491) were evaluated for 14 seed quality traits. A total of 165 markers consisting of 131 single sequence repeats and 34 restriction fragment length polymorphism markers were used to create a genetic linkage map spanning the 12 rice chromosomes. Twenty-three independent QTLs were identified using single point analysis, interval mapping, and composite interval mapping. These loci consisted of one QTL for filled rough/total rough rice ratio, two for grain density, one for percentage of de-husked rice grains, two for percentage of green rice grains, three for percentage of damaged-yellow rice grains, two for percentage of red rice grains, one for milled rice recovery, three for head rice recovery, four for broken rice grains, two for crushed rice grains, one for amylose content, and one for gel consistency. For most of the QTLs identified in this study, the O. rufipogon-derived allele contributed an undesirable effect. For amylose content and gel consistency, the O. rufipogon allele may be useful in an IR64 background, depending on the cultural preferences of the consumer. Careful selection against the regions associated with negative effects will be required to avoid unwanted grain quality characteristics during the development of improved varieties for yield and yield components using introgressions from O. rufipogon.

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Year:  2003        PMID: 14513216     DOI: 10.1007/s00122-003-1376-z

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


  11 in total

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Authors:  Y Sano
Journal:  Theor Appl Genet       Date:  1984-08       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

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Authors:  G B Cagampang; C M Perez; B O Juliano
Journal:  J Sci Food Agric       Date:  1973-12       Impact factor: 3.638

4.  Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length variation, transposon associations, and genetic marker potential.

Authors:  S Temnykh; G DeClerck; A Lukashova; L Lipovich; S Cartinhour; S McCouch
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

5.  Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; J Prasetiyono; E Lubis; T H Tai; T Tjubaryat; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

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

7.  Saturated molecular map of the rice genome based on an interspecific backcross population.

Authors:  M A Causse; T M Fulton; Y G Cho; S N Ahn; J Chunwongse; K Wu; J Xiao; Z Yu; P C Ronald; S E Harrington
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

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.  Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon.

Authors:  J Xiao; J Li; S Grandillo; S N Ahn; L Yuan; S D Tanksley; S R McCouch
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

10.  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

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  44 in total

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2.  Caught red-handed: Rc encodes a basic helix-loop-helix protein conditioning red pericarp in rice.

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3.  The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population.

Authors:  C C Fan; X Q Yu; Y Z Xing; C G Xu; L J Luo; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

4.  Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualities.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-14       Impact factor: 11.205

5.  Linkage analysis in unconventional mating designs in line crosses.

Authors:  James C Nelson
Journal:  Theor Appl Genet       Date:  2011-06-18       Impact factor: 5.699

6.  Du1, encoding a novel Prp1 protein, regulates starch biosynthesis through affecting the splicing of Wxb pre-mRNAs in rice (Oryza sativa L.).

Authors:  Dali Zeng; Meixian Yan; Yonghong Wang; Xinfang Liu; Qian Qian; Jiayang Li
Journal:  Plant Mol Biol       Date:  2007-06-20       Impact factor: 4.076

7.  Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; J Prasetiyono; E Lubis; T H Tai; T Tjubaryat; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

8.  qAC2, a novel QTL that interacts with Wx and controls the low amylose content in rice (Oryza sativa L.).

Authors:  Yoko Takemoto-Kuno; Hiroki Mitsueda; Keitaro Suzuki; Hideyuki Hirabayashi; Osamu Ideta; Noriaki Aoki; Takayuki Umemoto; Takuro Ishii; Ikuo Ando; Hiroshi Kato; Hiroshi Nemoto; Tokio Imbe; Yoshinobu Takeuchi
Journal:  Theor Appl Genet       Date:  2015-03-12       Impact factor: 5.699

9.  The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.).

Authors:  X Zheng; J G Wu; X Y Lou; H M Xu; C H Shi
Journal:  Theor Appl Genet       Date:  2007-11-08       Impact factor: 5.699

10.  Mapping quantitative trait loci (QTLs) for fatty acid composition in an interspecific cross of oil palm.

Authors:  Rajinder Singh; Soon G Tan; Jothi M Panandam; Rahimah Abdul Rahman; Leslie C L Ooi; Eng-Ti L Low; Mukesh Sharma; Johannes Jansen; Suan-Choo Cheah
Journal:  BMC Plant Biol       Date:  2009-08-26       Impact factor: 4.215

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