Biology subjects

Mazzolai, B.

Publications and source records attributed to Mazzolai, B..

3 recordsLinked to original sources

bioRxiv2022

A mechanistic model towards ecological inclusion for a better plant growth understanding

Plants growth is a complex and delicate balance among different factors involving environmental and physiological conditions. In this context, we propose a mechanistic model that considers the main internal processes of plant growth and reproduces a wide range of plant behaviors observed experimentally. In particular, we describe the model plant of Arabidopsis thaliana in a realistic environment with a day-and-night cycle, which considers different inputs as light, water, phosphorus, nitrogen, starch and sucrose. In addition, we propose a new function that describes the affinity between the plant and a specific nutrient, and a novel feedback signal to model how plants have the remarkable capacity to distribute resources among their organs. The result is an efficient tool applicable in ecological and agricultural studies, which can estimate several parameters, simulate several soil conditions and analyze how limiting or toxic resources can affect the plant development. We improve our understanding of plant adaptive strategies, reproducing results in line with experiments.

plant biology↗

bioRxiv2020

Transcriptional regulation of genes involved in Zn transport after foliar Zn application to Medicago sativa

Zinc (Zn) is an essential micronutrient for both plants and animals, and Zn deficiency is one of the most widespread problems for agricultural production. Although many studies have been performed on the biofortification of staple crops with Zn, few studies have focused on forage crops. In this study the molecular mechanisms of Zn transport-related in Medicago sativa L. were investigated following foliar Zn applications aimed at increasing the accumulation of Zn in edible tissues. Zinc uptake and redistribution between shoot and root were determined following the application of six Zn doses to leaves (0, 0.01, 0.1, 0.5, 1, 10 mg Zn plant-1). Twelve putative genes encoding proteins involved in Zn transport (MsZIP1-7, MsZIF1, MsMTP1, MsYSL1, MsHMA4 and MsNAS1) were identified and the changes in their expression following foliar Zn application were quantified using newly designed RT-qPCR assays. Shoot and root Zn concentration was increased following foliar Zn applications [≥] 0.1 mg plant-1. Increased expression of MsZIP2, MsHMA4 and MsNAS1 in shoots, and of MsZIP2 and MsHMA4 in roots, was observed with the largest Zn dose. By contrast, MsZIP3 was downregulated in shoots at Zn doses [≥] 0.1 mg plant-1. Three functional modules were identified in the M. sativa response to foliar Zn application: genes involved in Zn uptake by cells, genes involved in vacuolar Zn sequestration and genes involved in Zn redistribution within the plant. These results will inform genetic engineering strategies aimed at increasing the efficiency of crop Zn biofortification. One-sentence summaryUpregulation of ZIP2, NASI and HMA4 and downregulation of ZIP3 are associated with Zn sequestration and shoot-to-root translocation in Medicago sativa following foliar Zn biofortification

plant biology↗

bioRxiv2018

Plant behaviour: A mathematical approach for understandingintra-plant communication

Plants are far from being passive organisms being able to exhibit complex behaviours in response to environmental stimuli. How these stimuli are combined, triggered and managed is still an open and complex issue in biology. Mathematical models have helped in understanding some of the pieces in the complexity of intra-plant communication, but a larger and brighter view, setting together multiple key processes, is still missing. This paper proposes a fully coupled system of nonlinear, non-autonomous, discontinuous, ordinary differential equations to describe with accuracy the adapting behaviour and growth of a single plant, by deeply analysing the main stimuli affecting plant behaviour. The proposed model was developed, and here sustained, with the knowledge at the state of the art; and validated with a comparison among numerical results and a wide number of biological data collected from the literature, demonstrating its robustness and reliability. From the proposed analysis it is also shown an emerging self-optimisation of internal resources and feedback stimuli, without the need for defining an optimisation function for the wellness of the plant. The model is ultimately able to highlight the stimulus-signal of the intra-communication in plant, and it can be expanded and adopted as useful tool at the crossroads of disciplines as mathematics, robotics, biology, for instance for validation of biological hypothesis, translation of biological principles into control strategies or resolution of combinatorial problems.\n\nAuthor summaryPlants are able to adapt themselves to a wide range of conditions. The complexity and efficiency of this behaviour suggest a richness of signals exchanged that allowed scientists to talk about communication. Understanding this network of stimuli is an important challenge to increase biological knowledge as well as to adapt plant mechanisms to different research fields. To address this quest we developed a mathematical model able to describe what cues are fundamental in plant communication and how they interact each other.

plant biology↗