henhaobio
Sign in

bioRxivPlant BiologyPreprint

A mechanistic investigation of enhanced nitrogen use efficiency in wheat seedlings after treatment with a precision engineered Ascophyllum nodosum biostimulant

L. Langowski, O. Goni, E. Ikuyinminu, E. Feeney, S. O'Connell

PDFDOI

Abstract

Reduction in the emissions of the greenhouse gas nitrous oxide and nitrogen (N) pollution of ground water by improving nitrogen use efficiency (NUE) in crops is urgently required in pursuit of a sustainable agricultural future. Utilising an engineered biostimulant (PSI-362) derived from the brown seaweed Ascophyllum nodosum, we examined its effect on wheat seedling growth dynamics and mechanistic spatiotemporal changes at transcriptional and biochemical levels in relation to N uptake, assimilation and NUE. PSI-362-mediated biomass increase was associated with increased nitrate uptake and N assimilation in the form of glutamate, glutamine, free amino acids, soluble proteins and total chlorophyll. Phenotypical and biochemical analysis were supported by evaluation of differential expression of genetic markers involved in nitrate perception and transport (TaNRT1.1/NPF6.3), and assimilation (TaNR1 and TaNiR1, TaGDH2, TaGoGAT, TaGS1). Finally, a comparative analysis of the PSI-362 and two generic Ascophyllum nodosum extracts (ANEs) demonstrated that the NUE effect greatly differs depending on the ANE biostimulant used. In the current context of climate warming the transition of agriculture to a more sustainable model is urgently required. Application and adoption of precision biostimulants creates an opportunity for sustainable crop management, reduced production cost and environmental pollution, while maintaining yields.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCastello '20Xiang '21Milner '21Yin '18Alfatih '20Alotaibi '26
71% semantic matchPlant Biology
F. Del Castello, N. Foresi, A. Nejamkin+4 more·bioRxiv·Oct 8, 2020