Functional Approaches to Study Leaf Senescence in Sunflower

Fernández, Paula; Moschen, Sebastián; Paniego, Norma; Heinz, Ruth Amelia

doi:10.5772/34785

Cited by 6 publications

(5 citation statements)

References 101 publications

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“…At the transcriptional level, the regulation of senescence has been well studied in model species such as A. thaliana (Gepstein et al ., ; Lim et al ., ; Lin and Wu, ). Furthermore, this process has been partially assessed in other species such as rice (Lee et al ., ), tobacco (Pageau et al ., ), pea (Pic et al ., ), wheat (Uauy et al ., ), cotton (Kong et al ., ), maize (Sekhon et al ., ; Zhang et al ., ), turnip (Gombert et al ., ), barley (Hollmann et al ., ; Jukanti et al ., ) and sunflower (Cabello et al ., ; Fernandez et al ., ; Moschen et al ., ).…”

Section: Introductionmentioning

confidence: 98%

“…At the transcriptional level, the regulation of senescence has been well studied in model species such as A. thaliana (Gepstein et al, 2003;Lim et al, 2003;Lin and Wu, 2004). Furthermore, this process has been partially assessed in other species such as rice (Lee et al, 2001), tobacco (Pageau et al, 2006), pea (Pic et al, 2002), wheat (Uauy et al, 2006), cotton (Kong et al, 2013), maize (Sekhon et al, 2012;Zhang et al, 2014), turnip (Gombert et al, 2006), barley (Hollmann et al, 2014;Jukanti et al, 2008) and sunflower (Cabello et al, 2006;Fernandez et al, 2012a;Moschen et al, 2014). Transcription factors (TFs) are key proteins in the regulation of gene expression and signal transduction networks regulating different biological processes.…”

Section: Introductionmentioning

confidence: 99%

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Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

Moschen

Luoni

Rienzo

et al. 2015

Plant Biotechnology Journal

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SummaryLeaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

Moschen

Luoni

Rienzo

et al. 2015

Plant Biotechnology Journal

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“…However, the large number of those and others NTSR-related gene families present in vegetal genomes makes their individual characterization a very complex challenge. Global gene expression analysis have been carried out by microarrays to determine complex traits such as leaf senescence and seed dormancy in sunflower (Bazin et al, 2011;Fernandez et al, 2012), although its utility becomes restricted because they have a limited sensitivity and present trouble in distinguishing transcripts belonging to homologous genes. These constraints are overcame by alternative methods based on sequencing or PCR amplification (Breyne et al, 2003).…”

Section: High-throughput Approaches In Sunflowermentioning

confidence: 99%

Decoding Non-Target-Site Herbicide Resistance in Sunflower: The Beginning of the Story

Gil

Nestares

2019

Helia

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In the last years, many efforts have been made to develop sunflower cultivars showing important agronomical characteristics such as herbicide resistance. These approaches have been focused mainly on resistance to herbicides with the same mode of action, that is acetohydroxyacid synthase (AHAS) inhibitors. To date, four induced and natural AHAS mutations have been found that confer resistance to these herbicides and many of these alleles are being used for the production of sunflower hybrids resistant to herbicides and to develop different non-transgenic technologies for weed control. However, little is known about the bases of non-target-site-based resistance (NTSR) developing cross-resistance to herbicides with different modes of action in sunflower. These mechanisms diminish the number of active herbicide molecules that reach the target and are generally polygenic. Elucidating the nature of NTSR would allow evaluating maximal efficiency conditions for the herbicide and would enable to establish weed management strategies in sunflower crop. Nowadays, mining of NTSR genes can be more easily accomplished taking advantage of up-to-date omics-based approaches: high-throughput techniques involving genomics, transcriptomics, proteomics and metabolomics. Considering the difficulties in the discovery of new compounds with a broad spectrum of weed control, it results essential to broaden the use of former herbicides which are highly efficient and ecologically desirable. Full understanding of NTSR mechanisms in sunflower would allow detecting specific genes potentially useful as biotechnological tools for the phytoremediation of herbicides and modern plant breeding.

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“…At the physiological level, GLA evolution is an indirect measurement of photosynthetically active leaf area [87] and its decrease has been reported as product of active chloroplast degeneration and chlorophyll degradation [4,8]. In monocarpic species, such as sunflower, this senescence symptom is evident after anthesis, during grain filling period, and is mainly due to source-sink relationships established at this stage of development [4,22,25,38,88]. According to these reports, c977-b/C154B…”

Section: Phenotypic and Physiological Analysismentioning

confidence: 99%

“…Such differences could be increased because of the inability of current hybrids to retain its green leaf area for a longer period, especially during the grain filling phase; therefore, senescence onset and rate are key determinants of yield and oil content in sunflower [29,30]. [18,21,[31][32][33][34][35][36][37][38][39][40][41]. Recently, a characterization of leaf senescence process in sunflower was developed through a systems biology approach integrating transcriptomic and metabolomic analyses, thus allowing the detection of early metabolic changes prior to anthesis and before the onset of the first senescence symptoms [42].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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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.

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Functional Approaches to Study Leaf Senescence in Sunflower

Cited by 6 publications

References 101 publications

Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

Decoding Non-Target-Site Herbicide Resistance in Sunflower: The Beginning of the Story

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

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