Nicola Trozzi

Dr. Nicola Trozzi

Department of Plant Molecular Biology, University of Lausanne, Lausanne, Vaud, Switzerland
orcid
Computational biologist, PhD in Biological Sciences

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
5 May 2022 in eLife
Verified
Journal Article
Open access
SSSören Strauss
Sören Strauss
ARAdam Runions
Adam Runions
BLBrendan Lane
Brendan Lane
DEDennis Eschweiler
Dennis Eschweiler
NBNamrata Bajpai
Namrata Bajpai
RSRichard S. Smith
Richard S. Smith
Positional information is a central concept in developmental biology. In developing organs, positional information can be idealized as a local coordinate system that arises from morphogen gradients controlled by organizers at key locations. This offers a plausible mechanism for the integration of the molecular networks operating in individual cells into the spatially coordinated multicellular responses necessary for the organization of emergent forms. Understanding how positional cues guide morphogenesis requires the quantification of gene expression and growth dynamics in the context of their underlying coordinate systems. Here, we present recent advances in the MorphoGraphX software (Barbier de Reuille et al., 2015⁠) that implement a generalized framework to annotate developing organs with local coordinate systems. These coordinate systems introduce an organ-centric spatial context to microscopy data, allowing gene expression and growth to be quantified and compared in the context of the positional information thought to control them.

9 December 2019 in PLOS Biology
Verified
Journal Article
Open access
PDF file
SNSatoshi Naramoto
Satoshi Naramoto
VJVictor Arnold Shivas Jones
Victor Arnold Shivas Jones
Nicola TrozziNicola Trozzi
Nicola Trozzi
MSMayuko Sato
Mayuko Sato
KTKiminori Toyooka
Kiminori Toyooka
JKJunko Kyozuka
Junko Kyozuka
Land plant shoot structures evolved a diversity of lateral organs as morphological adaptations to the terrestrial environment, with lateral organs arising independently in different lineages. Vascular plants and bryophytes (basally diverging land plants) develop lateral organs from meristems of sporophytes and gametophytes, respectively. Understanding the mechanisms of lateral organ development among divergent plant lineages is crucial for understanding the evolutionary process of morphological diversification of land plants. However, our current knowledge of lateral organ differentiation mechanisms comes almost entirely from studies of seed plants, and thus, it remains unclear how these lateral structures evolved and whether common regulatory mechanisms control the development of analogous lateral organs. Here, we performed a mutant screen in the liverwort Marchantia polymorpha, a bryophyte, which produces gametophyte axes with nonphotosynthetic scalelike lateral organs. We found that an Arabidopsis LIGHT-DEPENDENT SHORT HYPOCOTYLS 1 and Oryza G1 (ALOG) family protein, named M. polymorpha LATERAL ORGAN SUPRESSOR 1 (MpLOS1), regulates meristem maintenance and lateral organ development in Marchantia. A mutation in MpLOS1, preferentially expressed in lateral organs, induces lateral organs with misspecified identity and increased cell number and, furthermore, causes defects in apical meristem maintenance. Remarkably, MpLOS1 expression rescued the elongated spikelet phenotype of a MpLOS1 homolog in rice. This suggests that ALOG genes regulate the development of lateral organs in both gametophyte and sporophyte shoots by repressing cell divisions. We propose that the recruitment of ALOG-mediated growth repression was in part responsible for the convergent evolution of independently evolved lateral organs among highly divergent plant lineages, contributing to the morphological diversification of land plants.

Verified
Journal Article
Open access
PDF file
MMMateusz Majda
Mateusz Majda
Nicola TrozziNicola Trozzi
Nicola Trozzi
GMGabriella Mosca
Gabriella Mosca
RSRichard S. Smith
Richard S. Smith
Cell growth in plants occurs due to relaxation of the cell wall in response to mechanical forces generated by turgor pressure. Growth can be anisotropic, with the principal direction of growth often correlating with the direction of lower stiffness of the cell wall. However, extensometer experiments on onion epidermal peels have shown that the tissue is stiffer in the principal direction of growth. Here, we used a combination of microextensometer experiments on epidermal onion peels and finite element method (FEM) modeling to investigate how cell geometry and cellular patterning affects mechanical measurements made at the tissue level. Simulations with isotropic cell-wall material parameters showed that the orientation of elongated cells influences tissue apparent stiffness, with the tissue appearing much softer in the transverse versus the longitudinal directions. Our simulations suggest that although extensometer experiments show that the onion tissue is stiffer when stretched in the longitudinal direction, the effect of cellular geometry means that the wall is in fact softer in this direction, matching the primary growth direction of the cells.

13 August 2021 in bioRxiv
Verified
Preprint
Open access
PDF file
SSSoeren Strauss
Soeren Strauss
ARAdam Runions
Adam Runions
BLBrendan Lane
Brendan Lane
DEDennis Eschweiler
Dennis Eschweiler
NBNamrata Bajpai
Namrata Bajpai
RSRichard S. Smith
Richard S. Smith
Positional information is a central concept in developmental biology. In developing organs, positional information can be idealized as a local coordinate system that arises from morphogen gradients controlled by organizers at key locations. This offers a plausible mechanism for the integration of the molecular networks operating in individual cells into the spatially-coordinated multicellular responses necessary for the organization of emergent forms. Understanding how positional cues guide morphogenesis requires the quantification of gene expression and growth dynamics in the context of their underlying coordinate systems. Here we present recent advances in the MorphoGraphX software (Barbier de Reuille et al. eLife 2015;4:e05864) that implement a generalized framework to annotate developing organs with local coordinate systems. These coordinate systems introduce an organ-centric spatial context to microscopy data, allowing gene expression and growth to be quantified and compared in the context of the positional information thought to control them.

15 April 2026 in EMBO Reports
Verified
Journal Article
Open access
PDF file
Nicola TrozziNicola Trozzi
Nicola Trozzi
BLBrendan Lane
Brendan Lane
APAlice Perruchoud
Alice Perruchoud
FCFrances Clark
Frances Clark
LHLukas Hoermayer
Lukas Hoermayer
MMMateusz Majda
Mateusz Majda
Puzzle-shaped epidermal cells can reduce mechanical stress during organ growth and, as shown here, can also record tissue expansion history in their outlines. By combining mechanical simulations with time-lapse imaging, we find that transitions from directional to isotropic expansion induce new lobes along the previous growth axis, and that reversing the sequence of anisotropic and isotropic phases yields hybrid shapes that preserve the sequence of growth phases. In maize, model predictions closely match live imaging, and in Arabidopsis , final lobe patterns correlate more strongly with growth history than with cell size alone. Genetic or pharmacological perturbations that reduce lobing are associated with constrained leaf expansion or compensatory elongation, consistent with a mechanical role. A broad survey of living and fossil vascular plants indicates that the capacity to form puzzle-shaped cells is widespread and developmentally plastic, suggesting that single snapshots of leaves can reflect prior growth dynamics across species. Together, these findings show that puzzle cells transform cell geometry into a living record of how tissues grow.

1 March 2025 in Plant Physiology
Verified
Journal Article
Open access
Nicola TrozziNicola Trozzi
Nicola Trozzi
JRJanlo M Robil
Janlo M Robil