Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population

Lacape Jean-Marc, Llewellyn Danny, Jacobs John, Arioli Tony, Becker David, Calhoun Steve, Al-Ghazi Yves, Liu Shiming, Palai Oumarou, Georges Sophie, Giband Marc, De Assunção Henrique, Vianna Barroso Paulo Augusto, Claverie Michel, Gawrysiak Gérard, Jean Janine, Vialle Michèle, Viot Christopher. 2010. Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. BMC Plant Biology, 10 (132), 24 p.

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Quartile : Q1, Sujet : PLANT SCIENCES

Abstract : Background: Cotton fibers (produced by #Gossypium# species) are the premier natural fibers for textile production. The two tetraploid species, #G. barbadense# (Gb) and #G. hirsutum# (Gh), differ significantly in their fiber properties, the former having much longer, finer and stronger fibers that are highly prized. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. We evaluated an inter-specific Gh × Gb recombinant inbred line (RIL) population for fiber characteristics in 11 independent experiments under field and glasshouse conditions. Sites were located on 4 continents and 5 countries and some locations were analyzed over multiple years. Results: The RIL population displayed a large variability for all major fiber traits. QTL analyses were performed on a persite basis by composite interval mapping. Among the 651 putative QTLs (LOD > 2), 167 had a LOD exceeding permutation based thresholds. Coincidence in QTL location across data sets was assessed for the fiber trait categories strength, elongation, length, length uniformity, fineness/maturity, and color. A meta-analysis of more than a thousand putative QTLs was conducted with MetaQTL software to integrate QTL data from the RIL and 3 backcross populations (from the same parents) and to compare them with the literature. Although the global level of congruence across experiments and populations was generally moderate, the QTL clustering was possible for 30 trait x chromosome combinations (5 traits in 19 different chromosomes) where an effective co-localization of unidirectional (similar sign of additivity) QTLs from at least 5 different data sets was observed. Most consistent meta-clusters were identified for fiber color on chromosomes c6, c8 and c25, fineness on c15, and fiber length on c3. Conclusions: Meta-analysis provided a reliable means of integrating phenotypic and genetic mapping data across multiple populations and environments for complex fiber traits. The consistent chromosomal regions contributing to fiber quality traits constitute good candidates for the further dissection of the genetic and genomic factors underlying important fiber characteristics, and for marker-assisted selection. (Résumé d'auteur)

Mots-clés Agrovoc : Gossypium hirsutum, Gossypium barbadense, Hybridation interspécifique, Amélioration des plantes, Carte génétique, Marqueur génétique, Locus des caractères quantitatifs, Fibre végétale, Coton, Qualité, Facteur du milieu, Intéraction génotype environnement

Mots-clés géographiques Agrovoc : Belgique, Australie, Brésil, Cameroun, États-Unis

Mots-clés complémentaires : QTL

Classification Agris : F30 - Plant genetics and breeding
F50 - Plant structure
Q60 - Processing of non-food or non-feed agricultural products

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Lacape Jean-Marc, CIRAD-BIOS-UMR DAP (FRA)
  • Llewellyn Danny, CSIRO (AUS)
  • Jacobs John, Bayer (BEL)
  • Arioli Tony, Bayer CropScience (USA)
  • Becker David, Bayer CropScience (USA)
  • Calhoun Steve, Bayer CropScience (USA)
  • Al-Ghazi Yves, CSIRO (AUS)
  • Liu Shiming, CSIRO (AUS)
  • Palai Oumarou, IRAD (CMR)
  • Georges Sophie, IRAD (CMR)
  • Giband Marc, CIRAD-BIOS-UMR DAP (BRA)
  • De Assunção Henrique, EMBRAPA (BRA)
  • Vianna Barroso Paulo Augusto, EMBRAPA (BRA)
  • Claverie Michel, CIRAD-BIOS-UMR DAP (FRA)
  • Gawrysiak Gérard, CIRAD-PERSYST-UPR SCA (FRA)
  • Vialle Michèle, CIRAD-PERSYST-UPR SCA (FRA)
  • Viot Christopher, CIRAD-BIOS-UMR DAP (FRA) ORCID: 0000-0001-6321-4741

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