Identification and characterization of contrasting sunflower genotypes to early leaf senescence process combining molecular and physiological studies (Helianthus annuus L.). (September 2016)

• Record Type: Journal Article
• Authors: López Gialdi, A.I.; Moschen, S.; Villán, C.S.; López Fernández, M.P.; Maldonado, S.; Paniego, N.; Heinz, R.A.; Fernandez, P.
• Is Part Of: Plant science. Volume 250(2016:Sep.)
• Page Start: 40
• Page End: 50
• Publication Date: 2016-09
• Subjects: GLA green leaf area -- GFD grain filling degree -- DAE days after emergence -- °CdAE °C days after emergence -- PPC percentage of polyploidy; Helianthus annuus L. -- Leaf senescence -- TUNEL -- qPCR -- Flow cytometry -- Physiological analysis; Botany -- Periodicals; Botanique -- Périodiques; 580
• DOI: 10.1016/j.plantsci.2016.05.017
• Languages: English
• ISSNs: 0168-9452

Abstract

Highlights: First study on sunflower senescence genotypes integrating molecular, cytological and physiological approaches. Two senescence contrasting sunflower genotypes were selected. Relevant candidate genes were biologically validated. Cytological techniques (Tunel, DNA Ladder and Flow sorting) were optimized for this crop. Abstract: Leaf senescence is a complex mechanism ruled by multiple genetic and environmental variables that affect crop yields. It is the last stage in leaf development, is characterized by an active decline in photosynthetic rate, nutrients recycling and cell death. The aim of this work was to identify contrasting sunflower inbred lines differing in leaf senescence and to deepen the study of this process in sunflower. Ten sunflower genotypes, previously selected by physiological analysis from 150 inbred genotypes, were evaluated under field conditions through physiological, cytological and molecular analysis. The physiological measurement allowed the identification of two contrasting senescence inbred lines, R453 and B481-6, with an increase in yield in the senescence delayed genotype. These findings were confirmed by cytological and molecular analysis using TUNEL, genomic DNA gel electrophoresis, flow sorting and gene expression analysis by qPCR. These results allowed the selection of the two most promising contrasting genotypes, which enables future studies and the identification of new biomarkers associated to early senescence in sunflower. In addition, they allowed the tuning of cytological techniques for a non-model species and its integration with molecular variables.