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CORDIS - Risultati della ricerca dell’UE
CORDIS

Adaptation to climate change in the rhizosphere across the millennia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Initial list of top-candidate genes for genetic engineering and ancestral reconstitution (si apre in una nuova finestra)

We will provide an initial list of selected top-candidate genes for engineering to introduce climate tolerance traits into selected microorganisms. The results of attempts at ancestral reconstruction of the origin of traits leading to increased tolerance to drought will also be reported. D1.3 is an outcome of Task 1.2 and it is an input for D1.4.

Initial identification of modern relative microorganisms of those identified in the ancient environmental samples (si apre in una nuova finestra)

We will provide an initial report on our comparison of the genomes of archaic drought-adapted taxa with those of modern microorganisms. This can be used to assess adaptation physiological traits and their genetic determinants. D1.5 is an outcome of Task 1.3 and it is an input for D1.6..

Initial lab-scale fermentation and downstream processing development (si apre in una nuova finestra)

We will report on the initial results of the optimization of fermentation at lab-scale for production of engineered rhizosphere bacteria. D4.1 is an outcome of Task 4.1 and it is an input for D4.2.

Project management handbook/guidelines (si apre in una nuova finestra)

We will provide a report regarding operational and structural details of the consortium as per the requirements of the Grant Agreement regarding financial reporting, presentation standards for deliverables and reports to the European Commission, an internal communication plan and an internal review procedure for quality assurance of project results, etc. D8.4 is an outcome of Task 8.2.

Initial analysis of ancient genomes in environmental samples (si apre in una nuova finestra)

We will provide an initial report on target genes selected for genetic engineering as well as microbial taxa and functional genes distinctive for heat/drought conditions. D1.1 is an outcome of Task 1.1 and it is an input for D1.2

Initial plan on communication and dissemination + exploitation (si apre in una nuova finestra)

We will provide a report on initial communication and dissemination plans, events and clustering activities. D7.2 is an outcome of Task 7.2 and it is an input for D7.4.

First version of the data management plan (si apre in una nuova finestra)

We will provide a first report on the data management plan. D8.1 is an outcome of Task 8.1 and it is an input for D8.2.

Pubblicazioni

Metabolic Origin, Role and Fate of the Denaturant Guanidine (si apre in una nuova finestra)

Autori: Antoine Danchin, Victor de Lorenzo, Pablo Iván Nikel, Conghui You
Pubblicato in: Microbial Biotechnology, Numero 18, 2025, ISSN 1751-7915
Editore: Wiley
DOI: 10.1111/1751-7915.70266

A blueprint for designing the next-generation of synthetic C1 microbes (si apre in una nuova finestra)

Autori: Giusi Favoino, Òscar Puiggené, Pablo I. Nikel
Pubblicato in: Nature Communications, Numero 16, 2025, ISSN 2041-1723
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-64483-Y

Functional organization and regulatory logic of the <i>ped</i> gene cluster in <i>Pseudomonas</i> species (si apre in una nuova finestra)

Autori: Òscar Puiggené, Pablo I. Nikel
Pubblicato in: Applied and Environmental Microbiology, 2026, ISSN 0099-2240
Editore: American Society for Microbiology
DOI: 10.1128/AEM.00046-26

FEMS Microbiology Reviews (si apre in una nuova finestra)

Autori: Òscar Puiggené; Giusi Favoino; Filippo Federici; Michele Partipilo; Enrico Orsi; Maria V G Alván-Vargas; Javier M Hernández-Sancho; Nienke K Dekker; Emil C Ørsted; Eray U Bozkurt; Sara Grassi; Ju
Pubblicato in: FEMS Microbiology Reviews, 2025, ISSN 0168-6445
Editore: Blackwell
DOI: 10.1093/FEMSRE/FUAF011

The disputed identity of <i>Pseudomonas putida</i> KT2440: when taxonomists rename your favorite microbe (si apre in una nuova finestra)

Autori: Victor de Lorenzo, Danilo Pérez-Pantoja, Juan Luis Ramos, Pablo I. Nikel
Pubblicato in: mBio, 2026, ISSN 2150-7511
Editore: American Society for Microbiology
DOI: 10.1128/MBIO.03390-25

Synthetic C <sub>1</sub> metabolism in <i>Pseudomonas putida</i> enables strict formatotrophy and methylotrophy via the reductive glycine pathway (si apre in una nuova finestra)

Autori: Justine Turlin, Maria V. G. Alván-Vargas, Òscar Puiggené, Stefano Donati, Sebastian Wenk, Pablo I. Nikel
Pubblicato in: mBio, Numero 16, 2025, ISSN 2150-7511
Editore: American Society for Microbiology
DOI: 10.1128/MBIO.01976-25

Precision Proteolysis of Triosephosphate Isomerase of <i>Escherichia coli</i> Boosts Dihydroxyacetone Phosphate Biosynthesis (si apre in una nuova finestra)

Autori: Belén Calles, Daniel C. Volke, Max Chavarría, Pablo I. Nikel, Víctor de Lorenzo
Pubblicato in: ACS Synthetic Biology, 2026, ISSN 2161-5063
Editore: American Chemical Society (ACS)
DOI: 10.1021/ACSSYNBIO.5C00870

Growth-coupled microbial biosynthesis of the animal pigment xanthommatin (si apre in una nuova finestra)

Autori: Leah B. Bushin, Tobias B. Alter, María V. G. Alván-Vargas, Lara Dürr, Elina C. Olson, Mariah J. Avila, Daniel C. Volke, Òscar Puiggené, Taehwan Kim, Leila F. Deravi, Adam M. Feist, Pablo I. Nikel, Bradley S. Moore
Pubblicato in: Nature Biotechnology, 2025, ISSN 1087-0156
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41587-025-02867-7

FEMS Microbiology Reviews (si apre in una nuova finestra)

Autori: Román A. Martino; Daniel C. Volke; Albano H. Tenaglia; Paula M. Tribelli; Pablo I. Nikel; Andrea M. Smania
Pubblicato in: Microbial Biotechnology, 2025
Editore: Blackwell
DOI: 10.1111/1751-7915.70137

Streamlining the Design‐Build‐Test‐Learn Process in Automated Biofoundries (si apre in una nuova finestra)

Autori: Enrico Orsi, Nicolás Gurdo, Pablo I. Nikel
Pubblicato in: Machine Learning and Big Data‐enabled Biotechnology, 2026
Editore: Wiley
DOI: 10.1002/9783527850532.CH13

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