Mrpl36 is important for generation of assembly competent proteins during mitochondrial translation

The complexes of the respiratory chain represent mosaics of nuclear and mitochondrially encoded components. The processes by which synthesis and assembly of the various subunits are coordinated remain largely elusive. During evolution, many proteins of the mitochondrial ribosome acquired additional domains pointing at specific properties or functions of the translation machinery in mitochondria. Here, we analyzed the function of Mrpl36, a protein associated with the large subunit of the mitochondrial ribosome. This protein, homologous to the ribosomal protein L31 from bacteria, contains a mitochondria-specific C-terminal domain that is not required for protein synthesis per se; however, its absence decreases stability of Mrpl36. Cells lacking this C-terminal domain can still synthesize proteins, but these translation products fail to be properly assembled into respiratory chain complexes and are rapidly degraded. Surprisingly, overexpression of Mrpl36 seems to even increase the efficiency of mitochondrial translation. Our data suggest that Mrpl36 plays a critical role during translation that determines the rate of respiratory chain assembly. This important function seems to be carried out by a stabilizing activity of Mrpl36 on the interaction between large and small ribosomal subunits, which could influence accuracy of protein synthesis

Global forest management data for 2015 at a 100 m resolution

Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services

Immobilienwirtschaft aktuell 2022: Beiträge zur immobilienwirtschaftlichen Forschung

Dieser Band enthält zehn aktuelle Beiträge zur Schweizer Immobilienwirtschaft. Die Arbeiten bieten raschen und einfachen Zugriff auf aktuelle Erkenntnisse aus den Themengebieten "Immobilieninvestment", "Immobilienmanagement", "Projektentwicklung" sowie "Urban Management". Die Publikation Immobilienwirtschaft aktuell erscheint jährlich und wird vom Center for Urban & Real Estate Management (CUREM) herausgegeben. Sie enthält die Zusammenfassungen der besten Abschlussarbeiten des Masters of Advanced Studies in Real Estate. Ziel ist die Förderung der akademischen und zugleich praxisnahen Diskussion immobilienrelevanter Themen in der Schweiz. Die vollständigen Abschlussarbeiten stehen auf www.curem.uzh.ch zum kostenlosen Download zur Verfügung. CUREM ist Teil der Wirtschaftswissenschaftlichen Fakultät an der Universität Zürich und widmet sich der immobilienwirtschaftlichen Forschung und Weiterbildung. Ziel ist die Förderung einer professionellen Immobilienwirtschaft in der Schweiz. Nebst dem RICS akkreditierten, berufsbegleitenden Studiengang zum "Master of Advanced Studies in Real Estate" und dem "Certificate of Advanced Studies in Urban Management" führt CUREM verschiedene Kompaktkurse, Expertenworkshops und Fachveranstaltungen durch

Global forest management data for 2015 at a 100 m resolution

Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services