Probing the reproducibility of leaf growth and molecular phenotypes: A comparison of three Arabidopsis accessions cultivated in ten laboratories

Archive ouverte

Massonnet, Catherine | Vile, Denis | Fabre, Juliette | Hannah, Matthew A. | Caldana, C. | Lisec, J. | Beemster, G.T.S. | Meyer, R.C. | Messerli, G. | Gronlund, J.T. | Perkovic, J. | Wigmore, E. | May, S. | Bevan, M.W. | Meyer, Christian | Rubio-Diaz, S. | Weigel, D. | Micol, J.L. | Buchanan-Wollaston, V. | Fiorani, F. | Walsh, S. | Rinn, B. | Gruissem, W. | Hilson, Pierre | Hennig, L. | Willmitzer, L. | Granier, Christine

Edité par CCSD ; Oxford University Press ; American Society of Plant Biologists -

L'article original est publié par The American Society of Plant Biologists. A major goal of the life sciences is to understand how molecular processes control phenotypes. Because understanding biological systems relies on the work of multiple laboratories, biologists implicitly assume that organisms with the same genotype will display similar phenotypes when grown in comparable conditions. We investigated to what extent this holds true for leaf growth variables and metabolite and transcriptome profiles of three Arabidopsis (Arabidopsis thaliana) genotypes grown in 10 laboratories using a standardized and detailed protocol. A core group of four laboratories generated similar leaf growth phenotypes, demonstrating that standardization is possible. But some laboratories presented significant differences in some leaf growth variables, sometimes changing the genotype ranking. Metabolite profiles derived from the same leaf displayed a strong genotype x environment (laboratory) component. Genotypes could be separated on the basis of their metabolic signature, but only when the analysis was limited to samples derived from one laboratory. Transcriptome data revealed considerable plant-to-plant variation, but the standardization ensured that interlaboratory variation was not considerably larger than intralaboratory variation. The different impacts of the standardization on phenotypes and molecular profiles could result from differences of temporal scale between processes involved at these organizational levels. Our findings underscore the challenge of describing, monitoring, and precisely controlling environmental conditions but also demonstrate that dedicated efforts can result in reproducible data across multiple laboratories. Finally, our comparative analysis revealed that small variations in growing conditions (light quality principally) and handling of plants can account for significant differences in phenotypes and molecular profiles obtained in independent laboratories.

Suggestions

Du même auteur

Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit

Archive ouverte | Baerenfaller, K. | CCSD

Mol Syst Biol bkatja@ethz.ch; pihil@psb.vib-ugent.be; granier@supagro.inra.fr; wgruissem@ethz.ch 606. Leaves have a central role in plant energy capture and carbon conversion and therefore must continuously adapt th...

Adaptable integration, analysis and data-sharing of diverse multi-omic and low-throughput data: computational platforms from European consortia

Archive ouverte | Walsh, S. | CCSD

International audience

PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context

Archive ouverte | Fabre, Juliette | CCSD

Renewed interest in plant × environment interactions has risen in the post-genomic era. In this context, high-throughput phenotyping platforms have been developed to create reproducible environmental scenarios in which the phenoty...

Chargement des enrichissements...