Molecular responses of agroinfiltrated Nicotiana benthamiana leaves expressing suppressor of silencing P19 and influenza virus-like particles
Hamel, L.-P.; Tardif, R.; Poirier-Gravel, F.; Rasoolizadeh, A.; Brosseau, C.; Giroux, G.; Lucier, J.-F.; Goulet, M.-C.; Barrada, A.; Roussel, E.; Comeau, M.-A.; Lavoie, P.-O.; Moffett, P.; Michaud, D.; D Aoust, M.-A.
Show abstract
The production of influenza vaccines in plants is achieved through transient Agrobacterium-mediated expression of viral hemagglutinins (HAs). These proteins are produced and matured through the secretory pathway of plant cells, before being trafficked to the plasma membrane where they induce formation of virus-like particles (VLPs). Production of VLPs unavoidably impacts plant cells, as do viral suppressors of RNA silencing (VSRs) that are often co-expressed to increase protein yields. However, little information is available on host molecular responses to these foreign proteins. The present work provides a comprehensive overview of transcriptomic, metabolic, and signaling changes occurring in Nicotiana benthamiana leaf cells transiently expressing the VSR P19, or co-expressing P19 and an influenza HA. Our data identifies generic responses to Agrobacterium-mediated expression of foreign proteins, including shutdown of chloroplast gene expression, activation of oxidative stress responses, and reinforcement of the plant cell wall through lignification. Our results also indicate that P19 expression promotes salicylic acid (SA) signaling, a process apparently antagonized by co-expression of HA. As the latter induces specific signatures, with effects on lipid metabolism, lipid distribution, and oxylipin signaling, dampening of P19 responses suggests crosstalk between SA and oxylipin pathways. Consistent with the upregulation of oxidative stress-related genes and proteins, we finally show that reduction of oxidative stress damage through exogenous application of ascorbic acid improves plant biomass quality during production of VLPs. One-sentence summaryAgrobacterium-mediated expression of influenza virus-like particles induces a unique molecular signature in Nicotiana benthamiana leaf cells.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- AP2/ERF transcription factor NbERF-IX-33 is involved in the regulation of phytoalexin production for the resistance of Nicotiana benthamiana to Phytophthora infestans. 97%
- Providing an additional electron sink by the introduction of cyanobacterial flavodiirons enhances the growth of Arabidopsis thaliana in varying light 96%
- The molecular basis of Kale domestication: Transcription profiling of leaves and meristems provides new insights into the evolution of a Brassica oleracea vegetative morphotype 96%
Similar papers in this journal
- Novel insights on the contribution of plastoglobules and reactive oxygen species to chromoplast differentiation 97%
- Redox-active cysteines in TGACG-BINDING FACTOR 1 (TGA1) do not play a role in salicylic acid- or pathogen-induced expression of TGA1-regulated target genes in Arabidopsis thaliana 96%
- A plastidial retrograde-signal potentiates biosynthesis of systemic stress response activators 96%
Similar papers in this journal
- Plasticity of the Arabidopsis leaf lipidome and proteome in response to pathogen infection and heat stress 96%
- Increased chloroplast area in the rice bundle sheath through cell specific perturbation of brassinosteroid signalling 96%
- Alternative oxidase1a and 1d limit proline-dependent oxidative stress and aid salinity recovery in Arabidopsis 96%
Similar papers in this journal
- Constitutive expression of JASMONATE RESISTANT 1 elevates content of several jasmonates and primes Arabidopsis thaliana to better withstand drought 97%
- Overexpression of the receptor-like kinase BIR1 gene causes SOBIR1- and EDS1-dependent cell death phenotypes in Arabidopsis 96%
- TuMV triggers stomatal closure but reduces drought tolerance in Arabidopsis 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.