Carbon isotope composition, water use efficiency, and drought sensitivity are controlled by a common genomic segment in maize View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-09-22

AUTHORS

Viktoriya Avramova, Adel Meziane, Eva Bauer, Sonja Blankenagel, Stella Eggels, Sebastian Gresset, Erwin Grill, Claudiu Niculaes, Milena Ouzunova, Brigitte Poppenberger, Thomas Presterl, Wilfried Rozhon, Claude Welcker, Zhenyu Yang, François Tardieu, Chris-Carolin Schön

ABSTRACT

Key messageA genomic segment on maize chromosome 7 influences carbon isotope composition, water use efficiency, and leaf growth sensitivity to drought, possibly by affecting stomatal properties.AbstractClimate change is expected to decrease water availability in many agricultural production areas around the globe. Therefore, plants with improved ability to grow under water deficit are urgently needed. We combined genetic, phenomic, and physiological approaches to understand the relationship between growth, stomatal conductance, water use efficiency, and carbon isotope composition in maize (Zea mays L.). Using near-isogenic lines derived from a maize introgression library, we analysed the effects of a genomic region previously identified as affecting carbon isotope composition. We show stability of trait expression over several years of field trials and demonstrate in the phenotyping platform Phenodyn that the same genomic region also influences the sensitivity of leaf growth to evaporative demand and soil water potential. Our results suggest that the studied genomic region affecting carbon isotope discrimination also harbours quantitative trait loci playing a role in maize drought sensitivity possibly via stomatal behaviour and development. We propose that the observed phenotypes collectively originate from altered stomatal conductance, presumably via abscisic acid. More... »

PAGES

53-63

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00122-018-3193-4

DOI

http://dx.doi.org/10.1007/s00122-018-3193-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107185900

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30244394


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