Association analysis using SSR markers for resistance to Sclerotinia basal stem rot disease in oily sunflower (Helianthus annuus L. ) under filed conditions

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PAKNIA R.; DARVISHZADEH R.; SHAHRIARI F.; MALEKZADEH S.

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Journal: JOURNAL OF BIOTECHNOLOGY Year:2018 | Volume:9 | Issue:3 Page(s): 355-367

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Information Journal Paper

Title

Association analysis using SSR markers for resistance to Sclerotinia basal stem rot disease in oily sunflower (Helianthus annuus L. ) under filed conditions

Author(s)

PAKNIA R. | DARVISHZADEH R. | SHAHRIARI F. | MALEKZADEH S. | Issue Writer Certificate

Keywords

SunflowerQ2

Molecular MarkersQ2

Linkage DisequilibriumQ1

Abstract

Aims Sunflower (Helianthus annuus L. ) is mainly cultivated for the extraction of edible oil, and Sclerotinia sclerotiorum is a pathogen in Sunflower fields. The aim of this study was to indetify markers associated with resistance to Sclerotnia Scleritiorum diseases in Sunflower, using association analysis. Materials & Methods In the present experimental research, a population including 100 lines of oily Sunflower was cultivated. Traits such as contamination progress after 4, 8, and 12 days, 100 seeds weight of contaminated and non-contaminated plants, contaminated and noncontaminated plant yield, 100 seeds weight loss, and yield loss were studied. The molecular profiles of germplasm were prepred with 30 microsatellite primer pairs. Genetic structure analysis of population was performed based on Bayesian model. Findings The highest coefficient of variation was related to the yield loss (86. 41%) and weight loss (78. 48%), and the lowest was contamination progression after 8 and 12 days (26. 47% and 20. 44%), respectively. Based on the mixed linear model (MLM), 6 microsatellite markers related to traits were identified at the level of p≤ 0. 01. The highest number of markers was associated with contamination progression after 8 days. The P733, P807, and P1256 markers were simultaneously associated with 3 traits. Conclusion Four lines including RHA274, H100A-83HR4, B45-03, and Iranian line with code 28 were identified with different genetic origins and high resistance levels. According to the general linear model (GLM) and MLM, 24 and 15 SSR markers are related to the traits, respectively. The P733, P807, and P1256 markers are simultaneously associated with 3 traits.

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APA: Copy

PAKNIA, R., DARVISHZADEH, R., SHAHRIARI, F., & MALEKZADEH, S.. (2018). Association analysis using SSR markers for resistance to Sclerotinia basal stem rot disease in oily sunflower (Helianthus annuus L. ) under filed conditions. JOURNAL OF BIOTECHNOLOGY, 9(3 ), 355-367. SID. https://sid.ir/paper/231365/en

Vancouver: Copy

PAKNIA R., DARVISHZADEH R., SHAHRIARI F., MALEKZADEH S.. Association analysis using SSR markers for resistance to Sclerotinia basal stem rot disease in oily sunflower (Helianthus annuus L. ) under filed conditions. JOURNAL OF BIOTECHNOLOGY[Internet]. 2018;9(3 ):355-367. Available from: https://sid.ir/paper/231365/en

IEEE: Copy

R. PAKNIA, R. DARVISHZADEH, F. SHAHRIARI, and S. MALEKZADEH, “Association analysis using SSR markers for resistance to Sclerotinia basal stem rot disease in oily sunflower (Helianthus annuus L. ) under filed conditions,” JOURNAL OF BIOTECHNOLOGY, vol. 9, no. 3 , pp. 355–367, 2018, [Online]. Available: https://sid.ir/paper/231365/en

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