Laura Miozzi

Institute for Sustainable Plant Protection

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Gian Paolo Accotto

Institute for Sustainable Plant Protection

Luisa Lanfranco

University of Turin

Valentina Fiorilli

University of Turin

Massimo Turina

Institute for Sustainable Plant Protection

Emanuela Noris

Institute for Sustainable Plant Protection

Vitantonio Pantaleo

National Research Council

Anna María Vaira

Institute for Sustainable Plant Protection

Alessandro Silvestri

Center for Research in Agricultural Genomics

Silvia Rotunno

Institute for Sustainable Plant Protection

Paolo Margaria

Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures

Cooperative Institutions

National Research Council

Institute for Sustainable Plant Protection

University of Turin

National Academies of Sciences, Engineering, and Medicine

Centro di Ricerca per la Patologia Vegetale

University of Bari Aldo Moro

University of Liège

Agricultural Research Service

Gembloux Agro-Bio Tech

Centre National de la Recherche Scientifique

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Evidence of new viruses infecting freesia hybrids showing necrotic disease

Acta Horticulturae (2018)

Anna María Vaira Laura Miozzi Marta Vallino Angela Carra R. Lenzi

10.17660/actahortic.2018.1193.4

Cite

Citations (1)

Additional file 6: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

Figshare (2019)

Alessandro Silvestri Valentina Fiorilli Laura Miozzi Gian Paolo Accotto Massimo Turina

Results of Mtr-miRNA – Mtr-mRNA target prediction performed with sPARTA. We added the description of targets to the filtered software output file. (XLSX 35 kb)

Arbuscular mycorrhizal fungi

10.6084/m9.figshare.7802915

Cite

Citations (0)

Global and cell‐type gene expression profiles in tomato plants colonized by an arbuscular mycorrhizal fungus

New Phytologist (2009)

Valentina Fiorilli Marco Catoni Laura Miozzi Mara Novero Gian Paolo Accotto

*Arbuscular mycorrhizal symbiosis develops in roots; extensive cellular reorganizations and specific metabolic changes occur, which are mirrored by local and systemic changes in the transcript profiles. *A TOM2 microarray (c. 12 000 probes) has been used to obtain an overview of the transcriptional changes that are triggered in Solanum lycopersicum roots and shoots, as a result of colonization by the arbuscular mycorrhizal fungus Glomus mosseae. The cell-type expression profile of a subset of genes was monitored, using laser microdissection, to identify possible plant determinants of arbuscule development,. *Microarrays revealed 362 up-regulated and 293 down-regulated genes in roots. Significant gene modulation was also observed in shoots: 85 up- and 337 down-regulated genes. The most responsive genes in both organs were ascribed to primary and secondary metabolism, defence and response to stimuli, cell organization and protein modification, and transcriptional regulation. Six genes, preferentially expressed in arbusculated cells, were identified. *A comparative analysis only showed a limited overlap with transcript profiles identified in mycorrhizal roots of Medicago truncatula, probably as a consequence of the largely nonoverlapping probe sets on the microarray tools used. The results suggest that auxin and abscisic acid metabolism are involved in arbuscule formation and/or functioning.

Medicago truncatula

Rhizophagus irregularis

Laser capture microdissection

Glomeromycota

Arbuscular mycorrhiza

10.1111/j.1469-8137.2009.03031.x

Cite

Citations (183)

Identification of DNA Viruses in Ancient DNA from Herbarium Samples

Methods in molecular biology (2023)

Gianluca Grasso Silvia Rotunno Régis Debruyne Lucie Bittner Laura Miozzi

Herbarium

Ancient DNA

Identification

Viral evolution

10.1007/978-1-0716-3515-5_15

Cite

Citations (1)

Functional Annotation and Identification of Candidate Disease Genes by Computational Analysis of Normal Tissue Gene Expression Data

PLoS ONE (2008)

Laura Miozzi Rosario M. Piro Fabio Rosa Ugo Ala Lorenzo Silengo

Background High-throughput gene expression data can predict gene function through the “guilt by association” principle: coexpressed genes are likely to be functionally associated. Methodology/Principal Findings We analyzed publicly available expression data on normal human tissues. The analysis is based on the integration of data obtained with two experimental platforms (microarrays and SAGE) and of various measures of dissimilarity between expression profiles. The building blocks of the procedure are the Ranked Coexpression Groups (RCG), small sets of tightly coexpressed genes which are analyzed in terms of functional annotation. Functionally characterized RCGs are selected by means of the majority rule and used to predict new functional annotations. Functionally characterized RCGs are enriched in groups of genes associated to similar phenotypes. We exploit this fact to find new candidate disease genes for many OMIM phenotypes of unknown molecular origin. Conclusions/Significance We predict new functional annotations for many human genes, showing that the integration of different data sets and coexpression measures significantly improves the scope of the results. Combining gene expression data, functional annotation and known phenotype-gene associations we provide candidate genes for several genetic diseases of unknown molecular basis.

Candidate gene

Gene Annotation

Functional Genomics

10.1371/journal.pone.0002439

Cite

Citations (21)

The Induction of an Effective dsRNA-Mediated Resistance Against Tomato Spotted Wilt Virus by Exogenous Application of Double-Stranded RNA Largely Depends on the Selection of the Viral RNA Target Region

Frontiers in Plant Science (2020)

Saeid Tabein Marco Jansen Emanuela Noris Anna María Vaira Daniele Marian

Tomato spotted wilt virus (TSWV) is a devastating plant pathogen, causing huge crop losses worldwide. Unfortunately, due to its wide host range and emergence of resistance breaking strains, its management is challenging. Up to now, resistance to TSWV infection based on RNA interference (RNAi) has been achieved only in transgenic plants expressing parts of the viral genome or artificial microRNAs targeting it. Exogenous application of double-stranded RNAs (dsRNAs) for inducing virus resistance in plants, namely RNAi-based vaccination, represents an attractive and promising alternative, already shown to be effective against different positive-sense RNA viruses and viroids. In the present study, the protection efficacy of exogenous application of dsRNAs targeting the nucleocapsid ( N ) or the movement protein ( NSm ) coding genes of the negative-sense RNA virus TSWV was evaluated in Nicotiana benthamiana as model plant and in tomato as economically important crop. Most of the plants treated with N -targeting dsRNAs, but not with NSm -targeting dsRNAs, remained asymptomatic until 40 ( N. benthamiana ) and 63 (tomato) dpi, while the remaining ones showed a significant delay in systemic symptoms appearance. The different efficacy of N - and NSm -targeting dsRNAs in protecting plants is discussed in the light of their processing, mobility and biological role. These results indicate that the RNAi-based vaccination is effective also against negative-sense RNA viruses but emphasize that the choice of the target viral sequence in designing RNAi-based vaccines is crucial for its success.

RNA Silencing

RNA virus

10.3389/fpls.2020.533338

Cite

Citations (42)

Women in the European Virus Bioinformatics Center

Viruses (2022)

Franziska Hufsky Ana Abecasis Patricia Agudelo‐Romero Magda Bletsa Katherine A. Brown

Viruses are the cause of a considerable burden to human, animal and plant health, while on the other hand playing an important role in regulating entire ecosystems. The power of new sequencing technologies combined with new tools for processing "Big Data" offers unprecedented opportunities to answer fundamental questions in virology. Virologists have an urgent need for virus-specific bioinformatics tools. These developments have led to the formation of the European Virus Bioinformatics Center, a network of experts in virology and bioinformatics who are joining forces to enable extensive exchange and collaboration between these research areas. The EVBC strives to provide talented researchers with a supportive environment free of gender bias, but the gender gap in science, especially in math-intensive fields such as computer science, persists. To bring more talented women into research and keep them there, we need to highlight role models to spark their interest, and we need to ensure that female scientists are not kept at lower levels but are given the opportunity to lead the field. Here we showcase the work of the EVBC and highlight the achievements of some outstanding women experts in virology and viral bioinformatics.

SPARK (programming language)

10.3390/v14071522

Cite

Citations (2)

Grapevine Rupestris Stem Pitting-Associated Virus influences expression of miRNAs and resilience to drought in Vitis vinifera

Paolo Boccacci Pantaleo Marco Vitali Walter Chitarra Laura Miozzi

Resilience

Drought stress

Source

Cite

Citations (0)

Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis

The Plant Journal (2010)

Vitantonio Pantaleo György Szittya Simon Moxon Laura Miozzi Vincent Moulton

In plants, microRNAs (miRNAs) comprise one of three classes of small RNAs regulating gene expression at the post-transcriptional level. Many plant miRNAs are conserved, and play a role in development, abiotic stress responses or pathogen responses. However, some miRNAs have only been found in certain species. Here, we use deep-sequencing, computational and molecular methods to identify, profile, and describe conserved and non-conserved miRNAs in four grapevine (Vitis vinifera) tissues. A total of 24 conserved miRNA families were identified in all four tissues, and 26 known but non-conserved miRNAs were also found. In addition to known miRNAs, we also found 21 new grapevine-specific miRNAs together with their star strands. We have also shown that almost all of them originated from single genes. Furthermore, 21 other plausible miRNA candidates have been described. We have found that many known and new miRNAs showed tissue-specific expression. Finally, 112 target mRNAs of known and 44 target mRNAs of new grapevine-specific miRNAs were identified by genomic-scale high-throughput sequencing of miRNA cleaved mRNAs.

Conserved sequence

10.1111/j.1365-313x.2010.04208.x

Cite

Citations (96)

Additional file 9: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

Figshare (2019)

Alessandro Silvestri Valentina Fiorilli Laura Miozzi Gian Paolo Accotto Massimo Turina

List of oligonucleotide used in qRT-PCR assays. (XLSX 46 kb)

RNA-Seq

10.6084/m9.figshare.7802939

Cite

Citations (0)