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Bianco L, Fontana P, Marchesini A, Torre S, Moser M, Piazza S, Alessandri S, Pavese V, Pollegioni P, Vernesi C, Malnoy M, Torello Marinoni D, Murolo S, Dondini L, Mattioni C, Botta R, Sebastiani F, Micheletti D, Palmieri L. The de novo, chromosome-level genome assembly of the sweet chestnut (Castanea sativa Mill.) Cv. Marrone Di Chiusa Pesio. BMC Genom Data 2024; 25:64. [PMID: 38909221 PMCID: PMC11193896 DOI: 10.1186/s12863-024-01245-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/17/2024] [Indexed: 06/24/2024] Open
Abstract
OBJECTIVES The sweet chestnut Castanea sativa Mill. is the only native Castanea species in Europe, and it is a tree of high economic value that provides appreciated fruits and valuable wood. In this study, we assembled a high-quality nuclear genome of the ancient Italian chestnut variety 'Marrone di Chiusa Pesio' using a combination of Oxford Nanopore Technologies long reads, whole-genome and Omni-C Illumina short reads. DATA DESCRIPTION The genome was assembled into 238 scaffolds with an N50 size of 21.8 Mb and an N80 size of 7.1 Mb for a total assembled sequence of 750 Mb. The BUSCO assessment revealed that 98.6% of the genome matched the embryophyte dataset, highlighting good completeness of the genetic space. After chromosome-level scaffolding, 12 chromosomes with a total length of 715.8 and 713.0 Mb were constructed for haplotype 1 and haplotype 2, respectively. The repetitive elements represented 37.3% and 37.4% of the total assembled genome in haplotype 1 and haplotype 2, respectively. A total of 57,653 and 58,146 genes were predicted in the two haplotypes, and approximately 73% of the genes were functionally annotated using the EggNOG-mapper. The assembled genome will be a valuable resource and reference for future chestnut breeding and genetic improvement.
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Affiliation(s)
- Luca Bianco
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Paolo Fontana
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Alexis Marchesini
- Research Institute on Terrestrial Ecosystem, National Research Council, Via Marconi 2, Porano, TR, 05010, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Sara Torre
- Institute for Sustainable Plant Protection, National Research Council, Via Madonna del Piano 10, 50019, Sesto Fiorentino FI, Italy
| | - Mirko Moser
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Stefano Piazza
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Sara Alessandri
- Dept. of Agricultural and Food Sciences, University of Bologna, Via Zamboni 33, Bologna, BO, 40126, Italy
| | - Vera Pavese
- Dept. of Agricultural, Forest and Food Sci, University of Turin, L.go P. Braccini 2, Grugliasco, TO, 10095, Italy
| | - Paola Pollegioni
- Research Institute on Terrestrial Ecosystem, National Research Council, Via Marconi 2, Porano, TR, 05010, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Cristiano Vernesi
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Mickael Malnoy
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Daniela Torello Marinoni
- Dept. of Agricultural, Forest and Food Sci, University of Turin, L.go P. Braccini 2, Grugliasco, TO, 10095, Italy
| | - Sergio Murolo
- Dep. of Agricultural, Food and Env.Sci, Marche Polytechnic University, via Brecce Bianche, Ancona, AN, 60131, Italy
| | - Luca Dondini
- Dept. of Agricultural and Food Sciences, University of Bologna, Via Zamboni 33, Bologna, BO, 40126, Italy
| | - Claudia Mattioni
- Research Institute on Terrestrial Ecosystem, National Research Council, Via Marconi 2, Porano, TR, 05010, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Roberto Botta
- Dept. of Agricultural, Forest and Food Sci, University of Turin, L.go P. Braccini 2, Grugliasco, TO, 10095, Italy
| | - Federico Sebastiani
- Institute for Sustainable Plant Protection, National Research Council, Via Madonna del Piano 10, 50019, Sesto Fiorentino FI, Italy
| | - Diego Micheletti
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy
| | - Luisa Palmieri
- Research and Innovation Center, Edmund Mach Foundation, via Mach 1, San Michele all'Adige, TN, 38098, Italy.
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Bianca F, Ispano E, Gazzola E, Lavezzo E, Fontana P, Toppo S. FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms. Bioinformatics 2023; 39:btad549. [PMID: 37672040 PMCID: PMC10500080 DOI: 10.1093/bioinformatics/btad549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/27/2023] [Accepted: 09/05/2023] [Indexed: 09/07/2023] Open
Abstract
MOTIVATION Defining the full domain of protein functions belonging to an organism is a complex challenge that is due to the huge heterogeneity of the taxonomy, where single or small groups of species can bear unique functional characteristics. FunTaxIS-lite provides a solution to this challenge by determining taxon-based constraints on Gene Ontology (GO) terms, which specify the functions that an organism can or cannot perform. The tool employs a set of rules to generate and spread the constraints across both the taxon hierarchy and the GO graph. RESULTS The taxon-based constraints produced by FunTaxIS-lite extend those provided by the Gene Ontology Consortium by an average of 300%. The implementation of these rules significantly reduces errors in function predictions made by automatic algorithms and can assist in correcting inconsistent protein annotations in databases. AVAILABILITY AND IMPLEMENTATION FunTaxIS-lite is available on https://www.medcomp.medicina.unipd.it/funtaxis-lite and from https://github.com/MedCompUnipd/FunTaxIS-lite.
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Affiliation(s)
- Federico Bianca
- Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Emilio Ispano
- Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Ermanno Gazzola
- Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Enrico Lavezzo
- Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Paolo Fontana
- Research and Innovation Center, Edmund Mach Foundation, San Michele all'Adige, Trento, Italy
| | - Stefano Toppo
- Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova, Padova, Italy
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Formentin E, Sudiro C, Perin G, Riccadonna S, Barizza E, Baldoni E, Lavezzo E, Stevanato P, Sacchi GA, Fontana P, Toppo S, Morosinotto T, Zottini M, Lo Schiavo F. Transcriptome and Cell Physiological Analyses in Different Rice Cultivars Provide New Insights Into Adaptive and Salinity Stress Responses. FRONTIERS IN PLANT SCIENCE 2018; 9:204. [PMID: 29556243 PMCID: PMC5844958 DOI: 10.3389/fpls.2018.00204] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 02/02/2018] [Indexed: 05/20/2023]
Abstract
Salinity tolerance has been extensively investigated in recent years due to its agricultural importance. Several features, such as the regulation of ionic transporters and metabolic adjustments, have been identified as salt tolerance hallmarks. Nevertheless, due to the complexity of the trait, the results achieved to date have met with limited success in improving the salt tolerance of rice plants when tested in the field, thus suggesting that a better understanding of the tolerance mechanisms is still required. In this work, differences between two varieties of rice with contrasting salt sensitivities were revealed by the imaging of photosynthetic parameters, ion content analysis and a transcriptomic approach. The transcriptomic analysis conducted on tolerant plants supported the setting up of an adaptive program consisting of sodium distribution preferentially limited to the roots and older leaves, and in the activation of regulatory mechanisms of photosynthesis in the new leaves. As a result, plants resumed grow even under prolonged saline stress. In contrast, in the sensitive variety, RNA-seq analysis revealed a misleading response, ending in senescence and cell death. The physiological response at the cellular level was investigated by measuring the intracellular profile of H2O2 in the roots, using a fluorescent probe. In the roots of tolerant plants, a quick response was observed with an increase in H2O2 production within 5 min after salt treatment. The expression analysis of some of the genes involved in perception, signal transduction and salt stress response confirmed their early induction in the roots of tolerant plants compared to sensitive ones. By inhibiting the synthesis of apoplastic H2O2, a reduction in the expression of these genes was detected. Our results indicate that quick H2O2 signaling in the roots is part of a coordinated response that leads to adaptation instead of senescence in salt-treated rice plants.
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Affiliation(s)
- Elide Formentin
- Department of Biology, University of Padova, Padova, Italy
- *Correspondence: Elide Formentin,
| | | | - Giorgio Perin
- Department of Biology, University of Padova, Padova, Italy
| | - Samantha Riccadonna
- Research and Innovation Centre, Edmund Mach Foundation, San Michele all’Adige, Italy
| | | | - Elena Baldoni
- Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Enrico Lavezzo
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Piergiorgio Stevanato
- Department of Agronomy, Food, Natural Resources, Animals and the Environment, University of Padova, Padova, Italy
| | - Gian Attilio Sacchi
- Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Paolo Fontana
- Research and Innovation Centre, Edmund Mach Foundation, San Michele all’Adige, Italy
| | - Stefano Toppo
- Department of Molecular Medicine, University of Padova, Padova, Italy
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