Literature DB >> 19949767

Dissection of a QTL reveals an adaptive, interacting gene complex associated with transgressive variation for flowering time in rice.

Luis F Maas1, Anna McClung, Susan McCouch.   

Abstract

A days to heading QTL (dth1.1) located on the short arm of rice chromosome 1 was sub-divided into eight sub-introgression lines (SILs) to analyze the genetic basis of transgressive variation for flowering time. Each SIL contained one or more introgression(s) from O. rufipogon in the genetic background of the elite Oryza sativa cultivar, Jefferson. Each introgression was defined at high resolution using molecular markers and those in the dth1.1 region were associated with the presence of one or more flowering time genes (GI, SOC1, FT-L8, EMF1, and PNZIP). SILs and controls were evaluated for flowering time under both short- and long-day growing conditions. Under short-day lengths, lines with introgressions carrying combinations of linked flowering time genes (GI/SOC1, SOC1/FT-L8, GI/SOC1/FT-L8 and EMF1/PNZIP) from the late parent, O. rufipogon, flowered earlier than the recurrent parent, Jefferson, while recombinant lines carrying smaller introgressions marked by the presence of GI, SOC1, EMF1 or PNZIP alone no longer flowered early. Under long-day length, lines carrying SOC1/FT-L8, SOC1 or PNZIP flowered early, while those carrying GI or EMF1 delayed flowering. Across all experiments and in the field, only SIL_SOC1/FT-L8 was consistently early. A preliminary yield evaluation indicated that the transgressive early flowering observed in several of the SILs was also associated with a measurable and positive effect on yield. These SILs represent a new source of variation that can be used in breeding programs to manipulate flowering time in rice cultivars without the reduction in yield that is often associated with early maturing phenotypes.

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Year:  2009        PMID: 19949767     DOI: 10.1007/s00122-009-1219-7

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


  29 in total

1.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

Review 2.  The molecular basis of diversity in the photoperiodic flowering responses of Arabidopsis and rice.

Authors:  Ryosuke Hayama; George Coupland
Journal:  Plant Physiol       Date:  2004-06       Impact factor: 8.340

3.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

Review 4.  Regulation and identity of florigen: FLOWERING LOCUS T moves center stage.

Authors:  Franziska Turck; Fabio Fornara; George Coupland
Journal:  Annu Rev Plant Biol       Date:  2008       Impact factor: 26.379

5.  Substitution mapping of dth1.1, a flowering-time quantitative trait locus (QTL) associated with transgressive variation in rice, reveals multiple sub-QTL.

Authors:  Michael J Thomson; Jeremy D Edwards; Endang M Septiningsih; Sandra E Harrington; Susan R McCouch
Journal:  Genetics       Date:  2006-02-01       Impact factor: 4.562

6.  QTL clusters reflect character associations in wild and cultivated rice.

Authors:  W. Cai; H. Morishima
Journal:  Theor Appl Genet       Date:  2002-04-10       Impact factor: 5.699

7.  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

8.  Ehd1, a B-type response regulator in rice, confers short-day promotion of flowering and controls FT-like gene expression independently of Hd1.

Authors:  Kazuyuki Doi; Takeshi Izawa; Takuichi Fuse; Utako Yamanouchi; Takahiko Kubo; Zenpei Shimatani; Masahiro Yano; Atsushi Yoshimura
Journal:  Genes Dev       Date:  2004-04-12       Impact factor: 11.361

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

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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  4 in total

1.  Fine mapping quantitative resistances to downy mildew in lettuce revealed multiple sub-QTLs with plant stage dependent effects reducing or even promoting the infection.

Authors:  Erik den Boer; Ningwen W Zhang; Koen Pelgrom; Richard G F Visser; Rients E Niks; Marieke J W Jeuken
Journal:  Theor Appl Genet       Date:  2013-09-14       Impact factor: 5.699

2.  Genetic analyses of bolting in bulb onion (Allium cepa L.).

Authors:  Samantha Baldwin; Roopashree Revanna; Meeghan Pither-Joyce; Martin Shaw; Kathryn Wright; Susan Thomson; Leire Moya; Robyn Lee; Richard Macknight; John McCallum
Journal:  Theor Appl Genet       Date:  2013-11-19       Impact factor: 5.699

3.  Development and GBS-genotyping of introgression lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga.

Authors:  Juan D Arbelaez; Laura T Moreno; Namrata Singh; Chih-Wei Tung; Lyza G Maron; Yolima Ospina; César P Martinez; Cécile Grenier; Mathias Lorieux; Susan McCouch
Journal:  Mol Breed       Date:  2015-02-14       Impact factor: 2.589

4.  Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.

Authors:  Jennifer Spindel; Hasina Begum; Deniz Akdemir; Parminder Virk; Bertrand Collard; Edilberto Redoña; Gary Atlin; Jean-Luc Jannink; Susan R McCouch
Journal:  PLoS Genet       Date:  2015-02-17       Impact factor: 5.917

  4 in total

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