Evidence map›Paper›PMID 42249280›Full record

ArticleBMC plant biology2026

Molecular and physiological characterization of two sunflower near-isogenic lines with contrasting haplotypes for leaf senescence.

Marco Moroldo, Nicolas Blanchet, Nicolas Pouilly, Stéphanie Pateyron, Marie-Laure Martin, Etienne Delannoy, Cédric Cassan, Yves Gibon, Sébastien Carrère, Guillaume Marti and 1 more

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Marco MoroldoUMR LIPME, INRAE, CNRS, Université de Toulouse, Castanet Tolosan, 31326, France. marco.moroldo@inrae.fr.
Nicolas BlanchetUMR LIPME, INRAE, CNRS, Université de Toulouse, Castanet Tolosan, 31326, France.
Nicolas PouillyUMR LIPME, INRAE, CNRS, Université de Toulouse, Castanet Tolosan, 31326, France.
Stéphanie PateyronUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, 91190, France.
Marie-Laure MartinUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, 91190, France.
Etienne DelannoyUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, 91190, France.
Cédric CassanUMR BFP, INRAE, Université de Bordeaux, Villenave d'Ornon, 33140, France.
Yves GibonUMR BFP, INRAE, Université de Bordeaux, Villenave d'Ornon, 33140, France.
Sébastien CarrèreUMR LIPME, INRAE, CNRS, Université de Toulouse, Castanet Tolosan, 31326, France.
Guillaume MartiUMR LRSV, MetaToul-AgromiX, CNRS, Université de Toulouse, INP, Auzeville-Tolosane, 31320, France.
Nicolas Bernard LangladeUMR LIPME, INRAE, CNRS, Université de Toulouse, Castanet Tolosan, 31326, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeaf senescence is regulated by several genetic mechanisms and environmental factors. During senescence, cellular organelles are degraded and chlorophylls are lost. Concomitantly, macromolecules are broken down into smaller molecules that are transported into tissues like seeds, a process called nutrient remobilization. By reducing photosynthesis and increasing nutrient remobilization, senescence affects seed yield and seed protein. Moreover, its understanding is relevant for agro-ecology, because it could increase nitrogen use efficiency. Sunflower, the fourth oilseed worldwide, is characterized by low water and nitrogen requirements. It shows rapid onset of senescence after anthesis, which hinders its productivity. In this crop, the interaction among senescence, water stress and cover crops for green manure has already been explored from an agronomic perspective. Here, we studied this interaction at the molecular level by comparing morpho-physiological traits and biochemical responses, transcriptome and metabolome of two sunflower near-isogenic lines with contrasting haplotypes for the senescence related LES10.179 QTL. We characterized our plants under water stress and in presence of residues of two cover crops, namely vetch and rye.

resultsThe overall response to drought in our findings revealed several novel insights, such as the global decrease of secondary metabolites and the involvement of potentially antioxidant minor compounds. The characterization of the LES10.179 QTL, instead, suggested that senescence was likely controlled by a homolog to NYC1, a gene involved in chlorophyll degradation. The LES10.179 QTL also affected seed protein content: the haplotype associated with early senescence lowered it, the other one acting the opposite way. Cover crops had a minor impact on molecular profiles, and no interactive effects were observed between drought and the LES10.179 QTL.

conclusionsThis is the first characterization of a QTL associated with leaf senescence in sunflower. This QTL has also an impact on seed protein content and it is not affected by drought. Therefore, it could prove especially useful for breeding applications. Anyway, further evidence is needed to precisely state whether the observed stay-green phenotype is functional or cosmetic.

Indexed as

HelianthusPlant LeavesPlant SenescenceDrought ResistanceDroughtsHaplotypesQuantitative Trait LociDrought stressLeaf senescenceLiquid chromatography-mass spectrometryMetabolomeNear-isogenic linesQuantitative trait locusRNA-seqSunflower (Helianthus annuus)Transcriptome

Identifiers

PMID42249280
PMCPMC13628809

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.