title: A biomarker based on gene expression indicates plant water status in controlled and natural environments.
abstract: Plant or soil water status is required in many scientific fields to understand plant responses to drought. Because the transcriptomic response to abiotic conditions, such as water deficit, reflects plant water status, genomic tools could be used to develop a new type of molecular biomarker. Using the sunflower (Helianthus annuus L.) as a model species to study the transcriptomic response to water deficit both in greenhouse and field conditions, we specifically identified three genes that showed an expression pattern highly correlated to plant water status as estimated by the pre-dawn leaf water potential, fraction of transpirable soil water, soil water content or fraction of total soil water in controlled conditions. We developed a generalized linear model to estimate these classical water status indicators from the expression levels of the three selected genes under controlled conditions. This estimation was independent of the four tested genotypes and the stage (pre- or post-flowering) of the plant. We further validated this gene expression biomarker under field conditions for four genotypes in three different trials, over a large range of water status, and we were able to correct their expression values for a large diurnal sampling period.
authors: INRA, Laboratoire des Interactions Plantes-Microorganismes (LIPM), UMR441, F-31326, Castanet-Tolosan, France; CNRS, Laboratoire des Interactions Plantes-Microorganismes (LIPM), UMR2594, F-31326, Castanet-Tolosan, France.
authors: Gwenaëlle
authors: G
authors: Marchand
authors: Baptiste
authors: B
authors: Mayjonade
authors: Didier
authors: D
authors: Varès
authors: Nicolas
authors: N
authors: Blanchet
authors: Marie-Claude
authors: MC
authors: Boniface
authors: Pierre
authors: P
authors: Maury
authors: Fety
authors: F
authors: Nambinina Andrianasolo
authors: Fety Andrianasolo
authors: FA
authors: Nambinina
authors: Philippe
authors: P
authors: Burger
authors: Philippe
authors: P
authors: Debaeke
authors: Pierre
authors: P
authors: Casadebaig
authors: Patrick
authors: P
authors: Vincourt
authors: Nicolas B
authors: NB
authors: Langlade
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D002940:Circadian Rhythm / Q000235:genetics; D003681:Dehydration; D055864:Droughts; D004777:Environment; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant / Q000235:genetics; D056726:Genetic Association Studies; D005838:Genotype; D006368:Helianthus / Q000235:genetics* / Q000502:physiology*; D007700:Kinetics; D016014:Linear Models; D018526:Plant Transpiration / Q000502:physiology; D015203:Reproducibility of Results; D012987:Soil; D014867:Water / Q000502:physiology*
chemical_list: D015415:Biomarkers; D012987:Soil; D014867:Water
keywords: FTSW; Helianthus annuus L.; drought; indicator; leaf water potential; soil water content; soil water deficit; sunflower; transcriptomic