100(2)_str20

ISSN 1392-3196 / e-ISSN 2335-8947
Zemdirbyste-Agriculture, vol. 100, No. 2 (2013), p. 159–166
DOI  10.13080/z-a.2013.100.020

Identification of quantitative trait loci for relative water content and chlorophyll concentration traits in recombinant inbred lines of sunflower (Helianthus annuus L.) under well-watered and water-stressed conditions

Nishtman ABDI, Reza DARVISHZADEH, Hamid HATAMI MALEKI, Parham HADDADI, Ahmad SARRAFI

Abstract

The goal of the present research work was to identify quantitative trait loci (QTLs) involved in the genetic variation of relative water content and chlorophyll concentration in sunflower (Helianthus annuus L.) under well-watered and water-stressed conditions. 70 recombinant inbred lines (RILs) out of 123 from the cross PAC2 × RHA266 and their parental lines were evaluated in a rectangular 8 ´ 9 lattice design with two replications under well-watered and water-stressed conditions. High genetic variability and transgressive segregation was observed among RILs for evaluated traits in both water treatment conditions. QTLs were mapped using an updated high-density simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) linkage map. The map consisted of 210 SSR and 11 genes placed in 17 linkage groups. The total map length is 1,653.1 cM (centimorgan) with a mean density of 1 marker per 7.44 cM. Under well-watered state, 3 and 6 QTLs were identified for chlorophyll concentration and relative water content, respectively. In water-stressed condition 7 and 2 QTLs were identified. The percentage of phenotypic variance (R²) explained by QTLs ranged from 0.39% to 52.48%. QTLs for chlorophyll concentration and relative water content on linkage group 10 and 16 were overlapped. Common QTLs for different traits in both water treatment conditions on linkage groups 10 seem to be more important as it gives a constitutive performance for the traits without being affected by water treatment.

Key words: Helianthus annuus, linkage map, photosynthetic traits, plant water-status, QTL mapping, transgressive segregation.

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