Literature DB >> 12582628

Bay-0 x Shahdara recombinant inbred line population: a powerful tool for the genetic dissection of complex traits in Arabidopsis.

O. Loudet1, S. Chaillou, C. Camilleri, D. Bouchez, F. Daniel-Vedele.   

Abstract

Natural genetic variation in Arabidopsis is considerable, but has not yet been used extensively as a source of variants to identify new genes of interest. From the cross between two genetically distant ecotypes, Bay-0 and Shahdara, we generated a Recombinant Inbred Line (RIL) population dedicated to Quantitative Trait Locus (QTL) mapping. A set of 38 physically anchored microsatellite markers was created to construct a robust genetic map from the 420 F6 lines. These markers, evenly distributed throughout the five chromosomes, revealed a remarkable equilibrium in the segregation of parental alleles in the genome. As a model character, we have analysed the genetic basis of variation in flowering time in two different environments. The simultaneous mapping of both large- and small-effect QTLs responsible for this variation explained 90% of the total genotypic variance. Two of the detected QTLs colocalize very precisely with FRIGIDA and FLOWERING LOCUS C genes; we provide information on the polymorphism of genes confirming this hypothesis. Another QTL maps in a region where no QTL had been found previously for this trait. This confirms the accuracy of QTL detection using the Bay-0 x Shahdara RIL population, which constitutes the largest in size available so far in Arabidopsis. As an alternative to mutant analysis, this population represents a powerful tool which is currently being used to undertake the genetic dissection of complex metabolic pathways.

Entities:  

Year:  2002        PMID: 12582628     DOI: 10.1007/s00122-001-0825-9

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


  133 in total

1.  The recombination landscape in Arabidopsis thaliana F2 populations.

Authors:  P A Salomé; K Bomblies; J Fitz; R A E Laitinen; N Warthmann; L Yant; D Weigel
Journal:  Heredity (Edinb)       Date:  2011-11-09       Impact factor: 3.821

2.  Quantitative trait locus analysis of growth-related traits in a new Arabidopsis recombinant inbred population.

Authors:  Mohamed E El-Lithy; Emile J M Clerkx; Gerda J Ruys; Maarten Koornneef; Dick Vreugdenhil
Journal:  Plant Physiol       Date:  2004-04-30       Impact factor: 8.340

Review 3.  Natural variation in Arabidopsis: from molecular genetics to ecological genomics.

Authors:  Detlef Weigel
Journal:  Plant Physiol       Date:  2011-12-06       Impact factor: 8.340

4.  Mapping environment-specific quantitative trait loci.

Authors:  Xin Chen; Fuping Zhao; Shizhong Xu
Journal:  Genetics       Date:  2010-08-30       Impact factor: 4.562

5.  Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions.

Authors:  Ronan Sulpice; Sandra Trenkamp; Matthias Steinfath; Bjorn Usadel; Yves Gibon; Hanna Witucka-Wall; Eva-Theresa Pyl; Hendrik Tschoep; Marie Caroline Steinhauser; Manuela Guenther; Melanie Hoehne; Johann M Rohwer; Thomas Altmann; Alisdair R Fernie; Mark Stitt
Journal:  Plant Cell       Date:  2010-08-10       Impact factor: 11.277

6.  Quantitative Variation in Responses to Root Spatial Constraint within Arabidopsis thaliana.

Authors:  Bindu Joseph; Lillian Lau; Daniel J Kliebenstein
Journal:  Plant Cell       Date:  2015-08-04       Impact factor: 11.277

7.  Natural variation in the ATPS1 isoform of ATP sulfurylase contributes to the control of sulfate levels in Arabidopsis.

Authors:  Anna Koprivova; Marco Giovannetti; Patrycja Baraniecka; Bok-Rye Lee; Cécile Grondin; Olivier Loudet; Stanislav Kopriva
Journal:  Plant Physiol       Date:  2013-09-11       Impact factor: 8.340

8.  Mapping quantitative trait loci in multiple populations of Arabidopsis thaliana identifies natural allelic variation for trichome density.

Authors:  V Vaughan Symonds; A Veronica Godoy; Teresa Alconada; Javier F Botto; Thomas E Juenger; Jorge J Casal; Alan M Lloyd
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

Review 9.  Analysis of C and N metabolisms and of C/N interactions using quantitative genetics.

Authors:  Anne Krapp; Vera Saliba-Colombani; Françoise Daniel-Vedele
Journal:  Photosynth Res       Date:  2005       Impact factor: 3.573

10.  Using Phenomic Analysis of Photosynthetic Function for Abiotic Stress Response Gene Discovery.

Authors:  Tepsuda Rungrat; Mariam Awlia; Tim Brown; Riyan Cheng; Xavier Sirault; Jiri Fajkus; Martin Trtilek; Bob Furbank; Murray Badger; Mark Tester; Barry J Pogson; Justin O Borevitz; Pip Wilson
Journal:  Arabidopsis Book       Date:  2016-09-09
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