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Bouchereau, A.

Publications and source records attributed to Bouchereau, A..

3 recordsLinked to original sources

Morph-specific plasticity drives divergent host-shift and acclimation strategies in aphids

Understanding how organisms cope with environmental change is central to eco-evolutionary theory, yet a key unresolved challenge is distinguishing anticipatory plasticity, where phenotypes are pre-configured using predictive cues, from responsive plasticity, where phenotypes are adjusted after environmental exposure. Empirically testing these strategies is challenging because phenotypes measured after environmental transitions integrate both prior cue-dependent state configuration and post-exposure adjustment, obscuring when plastic responses are initiated. Systems with predictable environmental transitions and discrete life-history stages provide a powerful opportunity to resolve this challenge. Here, we use host-alternating aphids to test how plasticity strategies are organized across morphs experiencing the same seasonal host shift but facing different ecological constraints. We quantified fitness, transcriptomic responses, and host chemical landscapes across three morphs transferred among secondary hosts differing in phloem composition. Migratory spring morphs maintained uniformly high survival and showed minimal transcriptional change, consistent with anticipatory plasticity mediated by pre-configured metabolic and detoxification programs. In contrast, summer morphs exhibited host-dependent survival costs and extensive regulatory remodeling, indicating responsive plasticity. By integrating fitness, transcriptomics, and metabolomics, we show that predictable environmental transitions can favor the evolution and partitioning of plasticity strategies across life-history stages. More broadly, our results provide mechanistic evidence linking environmental predictability, regulatory architecture, and the evolution of plastic responses to heterogeneous environments.

evolutionary biology↗

Validation of carbon isotopologue distribution measurements by GC-MS and application to 13C-metabolic flux analysis of plant tricarboxylic acid cycle

The estimation of metabolic fluxes in photosynthetic organisms represents an important challenge that has gained interest over the last decade with the development of 13C-Metabolic Flux Analysis at isotopically non-stationary steady-state. This approach requires a high level of accuracy for the measurement of Carbon Isotopologue Distribution in plant metabolites. But this accuracy has still not been evaluated at the isotopologue level for GC-MS, leading to uncertainties for the metabolic fluxes calculated based on these fragments. Here, we developed a workflow to validate the measurements of CIDs from plant metabolites with GC-MS by producing tailor-made E. coli standard extracts harboring a predictable binomial CID for some organic and amino acids. Overall, most of our TMS-derivatives mass fragments were validated with these standards and at natural isotope abundance in plant matrices. Then, we applied this validated MS method to investigate the light/dark regulation of plant TCA cycle by incorporating U-13C-pyruvate to Brassica napus leaf discs. We took advantage of pathway-specific isotopologues/isotopomers observed between two and six hours of labeling to show that the TCA cycle can operate in a cyclic manner under both light and dark conditions. Interestingly, this forward cyclic flux mode has a nearly four-fold higher contribution for pyruvate-to-citrate and pyruvate-to-malate fluxes than the phosphoenolpyruvate carboxylase (PEPc) flux reassimilating carbon derived from some mitochondrial enzymes. The contribution of stored citrate to the mitochondrial TCA cycle activity was also questioned based on dynamics of 13C-enrichment in citrate, glutamate and succinate and variations of citrate total amounts under light and dark conditions. Interestingly, there was a light-dependent 13C-incorporation into glycine and serine showing that decarboxylations from pyruvate dehydrogenase complex and TCA cycle enzymes were actively reassimilated and could represent up to 5% to net photosynthesis.

plant biology↗

Role of the SUT1 and SUT2 sugar transporters during stolbur phytoplasma infection in tomato

Phytoplasmas inhabit phloem sieve elements and cause abnormal growth and altered sugar partitioning. But how they interact with phloem functions is not clearly known. The phloem responses were investigated in tomato infected by Candidatus Phytoplasma solani, at the beginning of the symptomatic stage of infection, both in symptomatic and asymptomatic leaves, the first symptoms appearing in the sink top leaf at the stem apex. Antisense lines impaired in the phloem sucrose transporters SUT1 and SUT2 were included. The infection in source leaves was not associated with symptoms. In the symptomatic, sink leaf, yellowing and leaf curling was associated with higher starch accumulation and expression of defense genes. The transcriptional analysis of symptomatic leaf midribs indicated that transcript levels for genes acting in the glycolysis and peroxisome metabolism in infected plants differed from these in non-infected plants. Phytoplasma multiplied actively in at least three additional lower leaves although they were symptomless, with no sign of activation of defense markers, although the rate of exudation of sucrose from these symptomless, source leaves was lower for infected plants. A few metabolites in phloem-enriched exudate were affected by the infection, such as glycolate and aspartate, and some of them were also affected in the control SUT1- and SUT2- antisense lines, in which sucrose retrieval or release in the sieve elements are impaired. A metabolic switch could explain the delivery of more glycolate into the sieve elements of infected plants. The findings suggest a link between sugar transport and redox homeostasis. One sentence summaryAn impairment of sucrose retrieval and release in the sieve elements occurs during phytoplasma infection, associated with changes in sugar and peroxisome metabolism

plant biology↗