Literature DB >> 15365625

Genotypic variation and identification of QTLs for agronomic traits, using AFLP and SSR markers in RILs of sunflower (Helianthus annuus L.).

G Rachid Al-Chaarani1, L Gentzbittel, X Q Huang, A Sarrafi.   

Abstract

A population of 77 recombinant inbred lines (RILs) were developed through single-seed descent from a cross between 'PAC-2' and 'RHA-266'. Seeds of the above-mentioned RILs and their parents were planted in the field in a randomised complete block design with two replications. Genetic control for some agronomical traits-sowing-to-flowering date, plant height, stem diameter (SD), head diameter (HD), grain weight per plant, 1,000-grain weight (TGW) and the percentage of oil in grains-were measured for RILs and their parents. Genetic variability was observed among 77 RILs for all traits studied. Transgressive segregation occurred for some traits, and the comparison between 10% of selected RILs with the best parent showed significant difference for SD and HD as well as for TGW. A set of 123 RILs from the same cross, including the 77 above-mentioned RILs and their two parents, were screened with 409 AFLP and SSR markers, and a linkage map was constructed based on 367 markers. Several QTLs associated with the studied traits were identified. The effects of each QTL are moderate, ranging from 7% to 37%, but a high percentage of phenotypic variance is explained when considering all the covariants (TR2 mean around 80% in each trait). Although the detected regions need to be more precisely mapped, the information obtained should help in marker-assisted selection.

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Year:  2004        PMID: 15365625     DOI: 10.1007/s00122-004-1770-1

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


  21 in total

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Authors:  P Castiglioni; P Ajmone-Marsan; R van Wijk; M Motto
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

2.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

3.  The use of microsatellite DNA markers for soybean genotype identification.

Authors:  J Rongwen; M S Akkaya; A A Bhagwat; U Lavi; P B Cregan
Journal:  Theor Appl Genet       Date:  1995-01       Impact factor: 5.699

4.  QTL analysis of photosynthesis and water status traits in sunflower (Helianthus annuus L.) under greenhouse conditions.

Authors:  D Hervé; F Fabre; E F Berrios; N Leroux; G Al Chaarani; C Planchon; A Sarrafi; L Gentzbittel
Journal:  J Exp Bot       Date:  2001-09       Impact factor: 6.992

5.  Comparative genetic analysis of quantitative traits in sunflower ( Helianthus annuus L.) 1. QTL involved in resistance to Sclerotinia sclerotiorum and Diaporthe helianthi.

Authors:  P.-F. Bert; I. Jouan; D. Tourvieille De Labrouhe; F. Serre; P. Nicolas; F. Vear
Journal:  Theor Appl Genet       Date:  2002-07-17       Impact factor: 5.699

6.  A QTL analysis of sunflower partial resistance to downy mildew ( Plasmopara halstedii) and black stem ( Phoma macdonaldii) by the use of recombinant inbred lines (RILs).

Authors:  G. Rachid Al-Chaarani; A. Roustaee; L. Gentzbittel; L. Mokrani; G. Barrault; G. Dechamp-Guillaume; A. Sarrafi
Journal:  Theor Appl Genet       Date:  2002-02       Impact factor: 5.699

7.  An integrated restriction fragment length polymorphism--amplified fragment length polymorphism linkage map for cultivated sunflower.

Authors:  M A Gedil; C Wye; S Berry; B Segers; J Peleman; R Jones; A Leon; M B Slabaugh; S J Knapp
Journal:  Genome       Date:  2001-04       Impact factor: 2.166

8.  Construction of an AFLP genetic map with nearly complete genome coverage in Pinus taeda.

Authors:  D L Remington; R W Whetten; B H Liu; D M O'Malley
Journal:  Theor Appl Genet       Date:  1999-06       Impact factor: 5.699

9.  PCR-multiplexes for a genome-wide framework of simple sequence repeat marker loci in cultivated sunflower.

Authors:  Shunxue Tang; Venkata K Kishore; Steven J Knapp
Journal:  Theor Appl Genet       Date:  2003-03-25       Impact factor: 5.699

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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  14 in total

1.  Comparative analysis of early embryonic sunflower cDNA libraries.

Authors:  Cécile Ben; Tarek Hewezi; Marie Françoise Jardinaud; Frédérique Bena; Nathalie Ladouce; Sébastien Moretti; Cecilia Tamborindeguy; Thierry Liboz; Michel Petitprez; Laurent Gentzbittel
Journal:  Plant Mol Biol       Date:  2005-01       Impact factor: 4.076

2.  Microarray analysis of gene expression in seeds of Brassica napus planted in Nanjing (altitude: 8.9 m), Xining (altitude: 2261.2 m) and Lhasa (altitude: 3658 m) with different oil content.

Authors:  San-Xiong Fu; Hao Cheng; Cunkou Qi
Journal:  Mol Biol Rep       Date:  2009-02-15       Impact factor: 2.316

3.  Defining the sunflower (Helianthus annuus L.) linkage group ends with the Arabidopsis-type telomere sequence repeat-derived markers.

Authors:  Jinguo Hu
Journal:  Chromosome Res       Date:  2006-07-12       Impact factor: 5.239

4.  Genetic control of oil content in oilseed rape (Brassica napus L.).

Authors:  R Delourme; C Falentin; V Huteau; V Clouet; R Horvais; B Gandon; S Specel; L Hanneton; J E Dheu; M Deschamps; E Margale; P Vincourt; M Renard
Journal:  Theor Appl Genet       Date:  2006-09-08       Impact factor: 5.699

5.  Genetic variability for physiological traits under drought conditions and differential expression of water stress-associated genes in sunflower (Helianthus annuus L.).

Authors:  S Poormohammad Kiani; P Grieu; P Maury; T Hewezi; L Gentzbittel; A Sarrafi
Journal:  Theor Appl Genet       Date:  2006-11-14       Impact factor: 5.699

6.  Diversity analysis and genomic prediction of Sclerotinia resistance in sunflower using a new 25 K SNP genotyping array.

Authors:  Maren Livaja; Sandra Unterseer; Wiltrud Erath; Christina Lehermeier; Ralf Wieseke; Jörg Plieske; Andreas Polley; Hartmut Luerßen; Silke Wieckhorst; Martin Mascher; Volker Hahn; Milena Ouzunova; Chris-Carolin Schön; Martin W Ganal
Journal:  Theor Appl Genet       Date:  2015-11-04       Impact factor: 5.699

7.  Development of a 10,000 locus genetic map of the sunflower genome based on multiple crosses.

Authors:  John E Bowers; Eleni Bachlava; Robert L Brunick; Loren H Rieseberg; Steven J Knapp; John M Burke
Journal:  G3 (Bethesda)       Date:  2012-07-01       Impact factor: 3.154

8.  Toward a molecular cytogenetic map for cultivated sunflower (Helianthus annuus L.) by landed BAC/BIBAC clones.

Authors:  Jiuhuan Feng; Zhao Liu; Xiwen Cai; Chao-Chien Jan
Journal:  G3 (Bethesda)       Date:  2013-01-01       Impact factor: 3.154

9.  Natural variation in an ABC transporter gene associated with seed size evolution in tomato species.

Authors:  Cintia Hotta Orsi; Steven D Tanksley
Journal:  PLoS Genet       Date:  2009-01-23       Impact factor: 5.917

10.  Identification of single nucleotide polymorphisms and analysis of linkage disequilibrium in sunflower elite inbred lines using the candidate gene approach.

Authors:  Corina M Fusari; Verónica V Lia; H Esteban Hopp; Ruth A Heinz; Norma B Paniego
Journal:  BMC Plant Biol       Date:  2008-01-23       Impact factor: 4.215

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