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  1. Article ; Online: Revisiting source versus sink limitations of wheat yield during grain filling

    Rosati, Adolfo / Benincasa, P.

    Agronomy Journal. 2023 , v. 115, no. 6 p.3197-3205

    2023  

    Abstract: To further increase wheat (Triticum spp.) yield, we need to understand whether it is source or sink limited. Earlier papers suggested that wheat yield is source limited in modern cultivars, including during the grain‐filling stage. Many recent papers ... ...

    Abstract To further increase wheat (Triticum spp.) yield, we need to understand whether it is source or sink limited. Earlier papers suggested that wheat yield is source limited in modern cultivars, including during the grain‐filling stage. Many recent papers support this interpretation, showing that yield is strongly related to environmental conditions that affect source capacity. In contrast to this, other authors working on source–sink manipulations have concluded that wheat yield is only or predominantly sink limited during grain filling. The objective of this forum paper was to examine this contrasting literature and revisit the assumptions and the interpretation of the results. We found that the arguments for a major sink limitation to wheat yield during grain filling arose from a common approach to quantitatively assess the degree of source–sink limitations, based on relativizing the change in grain weight (in response to source–sink manipulations) to the estimated change in source availability per grain. We show that the estimated changes in source availability with source manipulations are often overestimated in the literature, thus underestimating source limitations. Most importantly, we discuss why relativizing the change in grain weight to the estimated change in source availability biases the interpretation of source versus sink limitations. We conclude that wheat yield is mostly source limited during grain filling, and thus strongly dependent on environmental (including agronomic) conditions. A new model to interpret wheat yield limitations is proposed, describing yield as source limited during the whole crop cycle, including during grain filling.
    Keywords Triticum ; agronomy ; cultivars ; filling period ; models ; paper ; wheat
    Language English
    Dates of publication 2023-11
    Size p. 3197-3205.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 410332-4
    ISSN 1435-0645 ; 0002-1962
    ISSN (online) 1435-0645
    ISSN 0002-1962
    DOI 10.1002/agj2.21454
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Cultivar ideotype for intensive olive orchards: plant vigor, biomass partitioning, tree architecture and fruiting characteristics.

    Rosati, Adolfo / Paoletti, Andrea / Lodolini, Enrico Maria / Famiani, Franco

    Frontiers in plant science

    2024  Volume 15, Page(s) 1345182

    Abstract: In order to achieve higher and earlier yield, modern olive orchards are increasingly intensified, with tree densities up to > 1500 trees ... ...

    Abstract In order to achieve higher and earlier yield, modern olive orchards are increasingly intensified, with tree densities up to > 1500 trees hectare
    Language English
    Publishing date 2024-01-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2024.1345182
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The co-chaperone BAG3: Orchestrator of the cellular task force in response to stress.

    Rosati, Alessandra / Turco, Maria Caterina

    Journal of cellular biochemistry

    2022  Volume 123, Issue 1, Page(s) 3

    MeSH term(s) Adaptor Proteins, Signal Transducing/metabolism ; Animals ; Apoptosis Regulatory Proteins/metabolism ; Biomarkers, Tumor/metabolism ; Cardiovascular Diseases/metabolism ; Cattle ; HSP70 Heat-Shock Proteins/metabolism ; Humans ; Neoplasms/metabolism ; Signal Transduction ; Stress, Physiological
    Chemical Substances Adaptor Proteins, Signal Transducing ; Apoptosis Regulatory Proteins ; BAG3 protein, human ; Biomarkers, Tumor ; HSP70 Heat-Shock Proteins
    Language English
    Publishing date 2022-01-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 392402-6
    ISSN 1097-4644 ; 0730-2312
    ISSN (online) 1097-4644
    ISSN 0730-2312
    DOI 10.1002/jcb.30212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: The Putative GATA Transcription Factor

    Rosati, Viviana C / Quinn, Alicia A / Gleadow, Roslyn M / Blomstedt, Cecilia K

    Life (Basel, Switzerland)

    2024  Volume 14, Issue 4

    Abstract: Cyanogenic glucosides are specialized metabolites produced by over 3000 species of higher plants from more than 130 families. The deployment of cyanogenic glucosides is influenced by biotic and abiotic factors in addition to being developmentally ... ...

    Abstract Cyanogenic glucosides are specialized metabolites produced by over 3000 species of higher plants from more than 130 families. The deployment of cyanogenic glucosides is influenced by biotic and abiotic factors in addition to being developmentally regulated, consistent with their roles in plant defense and stress mitigation. Despite their ubiquity, very little is known regarding the molecular mechanisms that regulate their biosynthesis. The biosynthetic pathway of dhurrin, the cyanogenic glucoside found in the important cereal crop sorghum (
    Language English
    Publishing date 2024-04-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life14040470
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Acute iatrogenic aortic coarctation after balloon-expandable prosthesis pop-out during transcatheter aortic valve implantation intervention.

    Arrivi, Alessio / Rosati, Riccardo / Morgantini, Amalia / Dominici, Marcello

    The Journal of invasive cardiology

    2023  Volume 35, Issue 10

    Abstract: An 80-year-old man was referred to our cath-lab for transcatheter aortic valve implantation (TAVI) due to symptomatic severe aortic valve stenosis. The intervention utilized a balloon-expandable prosthesis (Edwards Sapien 3 Ultra n°26, Edwards ... ...

    Abstract An 80-year-old man was referred to our cath-lab for transcatheter aortic valve implantation (TAVI) due to symptomatic severe aortic valve stenosis. The intervention utilized a balloon-expandable prosthesis (Edwards Sapien 3 Ultra n°26, Edwards Lifesciences).
    MeSH term(s) Male ; Humans ; Aged, 80 and over ; Transcatheter Aortic Valve Replacement/adverse effects ; Aortic Valve/diagnostic imaging ; Aortic Valve/surgery ; Aortic Coarctation/diagnosis ; Aortic Coarctation/surgery ; Heart Valve Prosthesis/adverse effects ; Treatment Outcome ; Aortic Valve Stenosis/diagnosis ; Aortic Valve Stenosis/surgery ; Prosthesis Design ; Iatrogenic Disease
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 1154372-3
    ISSN 1557-2501 ; 1042-3931
    ISSN (online) 1557-2501
    ISSN 1042-3931
    DOI 10.25270/jic/23.00188
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Feature Selection Based on a Genetic Algorithm for Optimizing Weaning Success.

    Rosati, Samanta / Scotto, Andrea / Fanelli, Vito / Balestra, Gabriella

    Studies in health technology and informatics

    2023  Volume 302, Page(s) 566–570

    Abstract: Finding the right time for weaning from ventilator is a difficult clinical decision. Several systems based on machine or deep learning are reported in literature. However, the results of these applications are not completely satisfactory and may be ... ...

    Abstract Finding the right time for weaning from ventilator is a difficult clinical decision. Several systems based on machine or deep learning are reported in literature. However, the results of these applications are not completely satisfactory and may be improved. An important aspect is represented by the features used as input of these systems. In this paper we present the results of the application of genetic algorithms to perform feature selection on a dataset containing 13688 patients under mechanical ventilation characterizing by 58 variables, extracted from the MIMIC III database. The results show that all features are important, but four of them are essential: 'Sedation_days', 'Mean_Airway_Pressure', 'PaO2', and 'Chloride'. This is only the initial step to obtain a tool to be added to the other clinical indices for minimize the risk of extubation failure.
    MeSH term(s) Humans ; Ventilator Weaning/methods ; Respiration, Artificial/methods ; Ventilators, Mechanical ; Time Factors ; Algorithms
    Language English
    Publishing date 2023-05-19
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230206
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: From flower to fruit: fruit growth and development in olive (

    Rosati, Adolfo / Lodolini, Enrico Maria / Famiani, Franco

    Frontiers in plant science

    2023  Volume 14, Page(s) 1276178

    Abstract: The olive ( ...

    Abstract The olive (
    Language English
    Publishing date 2023-11-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2023.1276178
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: An integrated individual-level trait-based phytoplankton dataset from transitional waters.

    Laraib, Maira / Titocci, Jessica / Rosati, Ilaria / Basset, Alberto

    Scientific data

    2023  Volume 10, Issue 1, Page(s) 897

    Abstract: Functional trait-based approaches have undergone an extraordinary expansion in phytoplankton ecology. Morpho-functional traits have been shown to vary both within and between populations and species, potentially affecting individual fitness and the ... ...

    Abstract Functional trait-based approaches have undergone an extraordinary expansion in phytoplankton ecology. Morpho-functional traits have been shown to vary both within and between populations and species, potentially affecting individual fitness and the network of inter-individual relationships. Here we integrate six fully harmonized phytoplankton morpho-functional trait datasets, characterized by a fine data grain, reporting individual-level data over a large biogeographical area. Datasets refer to transitional water ecosystems, from five biogeographical areas: Northern Atlantic Ocean (Scotland), South-Western Atlantic Ocean (Brazil), South-Western Pacific Ocean (Australia), Indo Pacific Ocean (Maldives) and Mediterranean Sea (Greece and Turkey). The integrated dataset includes 127311 individual phytoplankton records with sampling locations, taxonomic and morphometric information according to Darwin Core standards and semantic annotations. The six FAIR datasets are openly available in the LifeWatch Italy data portal. The datasets have already been used for morpho-functional analyses and hypothesis testing on phytoplankton guilds at different levels of data aggregation and scale, from local to global.
    MeSH term(s) Atlantic Ocean ; Ecosystem ; Pacific Ocean ; Phytoplankton ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2023-12-13
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-023-02785-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Single-cell RNA sequencing and bioinformatics as tools to decipher cancer heterogenicity and mechanisms of drug resistance.

    Rosati, Diletta / Giordano, Antonio

    Biochemical pharmacology

    2021  Volume 195, Page(s) 114811

    Abstract: It is well known that cancer is an aggressive disease, often associated with relapse, in many cases due to drug resistance. Cancer stem cell and clonal evolution are frequently causes of innate or acquired drug resistance. Current RNA sequencing ... ...

    Abstract It is well known that cancer is an aggressive disease, often associated with relapse, in many cases due to drug resistance. Cancer stem cell and clonal evolution are frequently causes of innate or acquired drug resistance. Current RNA sequencing technologies do not distinguish gene expression of different cell lineages because they are based on bulk cell studies. Single-cell RNA sequencing technologies and related bioinformatics clustering and differential expression analysis represent a turning point in cancer research. They are emerging as essential tools for dissecting tumors at single-cell resolution and represent novel tools to understand carcinogenesis and drug response. In this review, we will outline the role of these new technologies in addressing cancer heterogeneity and cell lineage-dependent drug resistance.
    MeSH term(s) Animals ; Computational Biology/methods ; Drug Resistance, Neoplasm/genetics ; Gene Expression Profiling/methods ; Gene Expression Regulation, Neoplastic ; Genetic Heterogeneity ; Humans ; Neoplasms/diagnosis ; Neoplasms/genetics ; Neoplasms/therapy ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods
    Language English
    Publishing date 2021-10-18
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 208787-x
    ISSN 1873-2968 ; 0006-2952
    ISSN (online) 1873-2968
    ISSN 0006-2952
    DOI 10.1016/j.bcp.2021.114811
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review.

    Rosati, Diletta / Palmieri, Maria / Brunelli, Giulia / Morrione, Andrea / Iannelli, Francesco / Frullanti, Elisa / Giordano, Antonio

    Computational and structural biotechnology journal

    2024  Volume 23, Page(s) 1154–1168

    Abstract: In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision ... ...

    Abstract In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
    Language English
    Publishing date 2024-03-01
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2024.02.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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