Identification and characterization of candidat genes influencing quantitative characters for water deficit tolerance in maize

Maize is particularly sensitive to water deficit at reproductive stages. As such, identification of factors that confer tolerance to water deficit would pave the way for increasing agricultural productivity. The aim of this work was to identify and make up the functional characterization of candidate genes for water deficit tolerance in maize.Firstly, transcriptomic and proteomic analyses of bulked recombinant inbred lines revealed eight differentially expressed genes colocating with a chromosomal region exhibiting two QTLs for leaf growth and anthesis-silking interval sensitivities to water deficit. Among them, we identified the transcription factor ZmMYB31 gene involved in the control of lignin biosynthesis. The expression of ZmMYB31 was correlated with that of its targets genes ZmCOMT and ZmFAD9, as well as ZmFatA involved in fatty acid biosynthesis. Changes in lignin and fatty acid content allowed us to hypothesis a regulatory role of ZmMYB31 via lignin and fatty acid-derived metabolites.Secondly, we showed that transgenic maize plants overexpressing the candidate gene ZmASR1 (ZmASR1-OE) maintained kernel yield under water deficit condition in the field. Transcriptomic and proteomic analyses of ZmASR1-OE leaves allowed us to identify 25 direct or indirect target genes of ZmASR1, in particular seven genes involved in branched-chain amino acid (BCAA) biosynthesis. We also showed a tight correlation between the level of 13 decreased metabolites in ZmASR1-OE leaves, 6 of which being previously shown to be negatively correlated to biomass. Phosphoresidues were also found in ZmASR1, ZmASR2 and ZmASR3, suggesting that these proteins are regulated by phosphorylation.

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Source https://theses.hal.science/tel-00738024
Author Virlouvet, Laetitia, Rennesson
Maintainer CCSD
Last Updated October 31, 2026, 23:32 (UTC)
Created October 31, 2026, 23:32 (UTC)
Identifier NNT: 2011PA112048
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon) ; Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)
creator Virlouvet, Laetitia, Rennesson
date 2011-04-21T00:00:00
harvest_object_id 91fb7fcb-1abd-49db-9752-732dd4198e63
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-06-29T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.70675/97ebe5c9z3a8bz41c9z8c23zc487765ef4ab
set_spec type:THESE