| Literature DB >> 32023971 |
Aurélia Lornac1, Marien Havé2, Fabien Chardon2, Fabienne Soulay2, Gilles Clément2, Jean-Christophe Avice1, Céline Masclaux-Daubresse2.
Abstract
Sulphur deficiency in crops became an agricultural concern several decades ago, due to the decrease of S deposition and the atmosphericEntities:
Keywords: leaf senescence; nitrogen use efficiency; resource allocation; seed filling; sulphate; sulphur use efficiency
Year: 2020 PMID: 32023971 PMCID: PMC7073174 DOI: 10.3390/cells9020332
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1The biomass of atg5 autophagy mutants is affected under both low sulphur (Low S) and high sulphur (High S) conditions. (A) Phenotype of atg5 mutants under high S and low S conditions 60 days after sowing. (B) Schematic representation of the labelling experiments performed on atg5 mutants (atg5-1, atg5-2, atg5-1.sid2, atg5-2.NahG) and control lines (Col-0, sid2 and NahG). The plants were sown on sand and cultivated under high S conditions for four weeks in short days (8 h light–16 h dark, 150 µmoL/m2/s1). Then, the plants were labelled for five days using a high S nutrient solution containing 15N and 34S isotopes. After 5 d labelling, half of the plants were transferred to unlabelled low S conditions and half to unlabelled high S conditions. After eight weeks, the plants were transferred to long days (16 h light), maintaining similar day/night temperatures (21 °C day, 17 °C night) until seed maturity. (C) The biomasses of the rosette, stems, pericarps and seeds were determined at harvest on the 34S and 15N labelled plants (dry weight, DW, g). The numbers above the atg5 mutant bars indicate the % of biomass decrease in mutants relative to their respective control lines. Data are the adjusted means and SD from two biological repeats with six plants each (n = 12). The different letters indicate values of total biomass significantly different at p < 0.05 (n = 12) between atg5 mutants and control lines, as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 2The atg5 autophagy mutants display a lower harvest index than the control lines under both low S and high S. From the measurement of the dry weights of the rosette, stem, pericarp and seeds presented in Figure 1A, the partitioning of the dry matter in each organ was computed. The numbers above the atg5 mutant bars indicate the % of significant increase or decrease in each mutant relative to its respective control line. Data are the adjusted means and SD from two biological repeats with six plants each. The different letters indicate values significantly different at p < 0.05 (n = 12), as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 3Sulphur concentrations are higher in the atg5 autophagy mutants than in the control lines under both low S and high S. S concentrations (S% as mg.100 mg-1 DW) in the rosette, stem, pericarp and seeds of atg5 mutants (atg5-1, atg5-2, atg5-1.sid2, atg5-2.NahG) and control lines (Col-0, sid2 and NahG) were determined on plants grown under low S and high S. Data are the adjusted means and SD from two biological repeats with six plants each. The different letters indicate values significantly different at p < 0.05 (n = 12), as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 4The partitioning of 34S in the rosette and seeds of atg5 autophagy mutants was significantly different from that of the control lines under both low S and high S. The partitioning of 34S in each organ was calculated as the % of 34S in each organ relative to the total quantity of 34S in the whole plant (see material and methods and supplemental Figure S1). Data are the adjusted means and SD from two biological repeats with six plants each. The different letters indicate values significantly different at p < 0.05 (n = 12), as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 5The remobilization of 34S and 15N to the seeds is differentially modified by sulphate availability in atg5 autophagy mutants and control lines. The partitioning of 34S (A,C) and 15N (B,D) in the rosette, stem, pericarp and seeds of atg5 mutants and control lines under low S (A,B) and high S (C,D) conditions. The ratios of 34S and 15N partitions in the seeds show different patterns depending on genotypes under high S and low S conditions (E). Data are the adjusted means and SD from two biological repeats with six plants each. The different letters indicate values significantly different at p < 0.05 (n = 12), as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 6Hierarchic clustering of metabolite relative contents in atg5-1 and Col-0. Metabolite relative contents in the rosettes of atg5 and Col-0 wild type genotypes, grown under high sulphate and low sulphate conditions for 60 days, were measured using GC–MS. An ANOVA was performed to identify metabolites significantly modified by genotype or sulphate availability. The hierarchic clustering of significant metabolites was performed using MEV4. The clusters show metabolites less abundant in atg5 relative to Col-0 under both high and low sulphate conditions (green), less abundant in atg5 relative to Col-0 under high S but more abundant under low S (orange), more abundant in atg5 relative to Col-0 under both high and low sulphate conditions (red), and not different in atg5 and Col-0 but modified by sulphate availability (blue). The red arrows indicate the position of cysteine and methionine. Three biological repeats are shown for each genotype and condition.
Figure 7Hierarchic clustering of metabolite relative contents in atg5-1, atg5-1.sid2, sid2 and Col-0 under low S conditions. The metabolite relative contents in the rosettes of atg5, atg5-1.sid2, sid2 and Col-0 plants grown under low sulphate conditions for 60 days were measured using GC-MS. An ANOVA was performed to identify metabolites significantly modified by genotype. The hierarchic clustering of significant metabolites was performed MEV4. The clusters show metabolites less abundant in atg5-1 and atg5-1.sid2 relative to Col-0 and sid2, respectively (blue), more abundant in atg5-1 and atg5-1.sid2 relative to Col-0 and sid2, respectively (red), and more abundant in atg5-1 only by comparison with the three other genotypes (green). The red arrow indicates the position of cysteine. Three biological repeats are shown for each genotype.
Figure 8Sulphate concentrations in the rosette of atg5 autophagy mutants are significantly higher than in the rosettes of control lines under low S. Sulphate was measured on the dry remains of the rosettes at seed maturity. Data are the adjusted means and SD from six plant repeats The different letters indicate values significantly different at p < 0.05 (n = 6), as determined using an ANOVA Newman–Keuls (SNK) comparison.
Figure 9Schematic representation of the effect of atg5 mutation on sulphur assimilation in plants grown under low S conditions. Protein accumulation or depletion in atg5 and atg5.sid2 mutants has been reported by Havé et al. [21]. Proteins overaccumulated in atg5 or atg5.sid2 vs. Col-0 or sid2 are presented in red boxes. Proteins depleted are presented in blue boxes. ATPS, ATP sulphurylase; APR, adenosine 5-phosphosulphate reductase; SiR, sulphite reductase; OAS, O-acetylserine; OASTL, O-acetylserine (thiol) lyase; SOT16, cytosolic sulphotransferase 16.