SUMMARYThe facilitates chromatin transcription (FACT) complex, consisting of the SSRP1 and SPT16 proteins, is a histone chaperone that assists the progression of transcribing RNA polymerase on chromatin templates by destabilizing nucleosomes. Here, we examined plants that harbour mutations in the genes encoding the subunits of Arabidopsis FACT. These experiments revealed that (i) SSRP1 is critical for plant viability, and (ii) plants with reduced amounts of SSRP1 and SPT16 display various defects in vegetative and reproductive development. Thus, mutant plants display an increased number of leaves and inflorescences, show early bolting, have abnormal flower and leaf architecture, and their seed production is severely affected. The early flowering of the mutant plants is associated with reduced expression of the floral repressor FLC in ssrp1 and spt16 plants. Compared to control plants, reduced amounts of FACT in mutant plants are detected at the FLC locus as well as at the locations of housekeeping genes (whose expression is not affected in the mutants), suggesting that expression of FLC is particularly sensitive to reduced FACT activity. Analysis of double mutants that are affected in the expression of both FACT subunits and factors catalysing the mono-ubiquitination of histone H2B (HUB1/2) demonstrates that they genetically interact to regulate various developmental processes (i.e. branching, leaf venation pattern, silique development) but independently regulate the growth of leaves and the induction of flowering.

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 3 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. Growth results from a complex network of processes occurring at multiple interconnected organizational levels (molecules, molecular complexes, cells, organs, and the whole plant) and is characterized by