TY - JOUR A1 - Li, Chenzhi A1 - Postl, Alexander K. A1 - Böhmer, Thomas A1 - Cao, Xianyong A1 - Dolman, Andrew M. A1 - Herzschuh, Ulrike T1 - Harmonized chronologies of a global late Quaternary pollen dataset (LegacyAge 1.0) JF - Earth system science data : ESSD N2 - We present a chronology framework named LegacyAge 1.0 containing harmonized chronologies for 2831 pollen records (downloaded from the Neotoma Paleoecology Database and the supplementary Asian datasets) together with their age control points and metadata in machine-readable data formats. All chronologies use the Bayesian framework implemented in Bacon version 2.5.3. Optimal parameter settings of priors (accumulation.shape, memory.strength, memory.mean, accumulation.rate, and thickness) were identified based on information in the original publication or iteratively after preliminary model inspection. The most common control points for the chronologies are radiocarbon dates (86.1 %), calibrated by the latest calibration curves (IntCal20 and SHCal20 for the terrestrial radiocarbon dates in the Northern Hemisphere and Southern Hemisphere and Marine20 for marine materials). The original publications were consulted when dealing with outliers and inconsistencies. Several major challenges when setting up the chronologies included the waterline issue (18.8% of records), reservoir effect (4.9 %), and sediment deposition discontinuity (4.4 %). Finally, we numerically compare the LegacyAge 1.0 chronologies to those published in the original publications and show that the reliability of the chronologies of 95.4% of records could be improved according to our assessment. Our chronology framework and revised chronologies provide the opportunity to make use of the ages and age uncertainties in synthesis studies of, for example, pollen-based vegetation and climate change. The LegacyAge 1.0 dataset, including metadata, datings, harmonized chronologies, and R code used, is openaccess and available at PANGAEA (https://doi.org/10.1594/PANGAEA.933132; Li et al., 2021) and Zenodo (https://doi.org/10.5281/zenodo.5815192; Li et al., 2022), respectively. Y1 - 2022 U6 - https://doi.org/10.5194/essd-14-1331-2022 SN - 1866-3508 SN - 1866-3516 VL - 14 IS - 3 SP - 1331 EP - 1343 PB - Copernics Publications CY - Katlenburg-Lindau ER - TY - THES A1 - Kiss, Andrea T1 - Moss-associated bacterial and archaeal communities of northern peatlands: key taxa, environmental drivers and potential functions T1 - Moos-assoziierte bakterielle und archaelle Gemeinschaften nördlicher Moore: Schlüsselspezies, beeinflussende Umweltfaktoren und potentielle Funktionen N2 - Moss-microbe associations are often characterised by syntrophic interactions between the microorganisms and their hosts, but the structure of the microbial consortia and their role in peatland development remain unknown. In order to study microbial communities of dominant peatland mosses, Sphagnum and brown mosses, and the respective environmental drivers, four study sites representing different successional stages of natural northern peatlands were chosen on a large geographical scale: two brown moss-dominated, circumneutral peatlands from the Arctic and two Sphagnum-dominated, acidic peat bogs from subarctic and temperate zones. The family Acetobacteraceae represented the dominant bacterial taxon of Sphagnum mosses from various geographical origins and displayed an integral part of the moss core community. This core community was shared among all investigated bryophytes and consisted of few but highly abundant prokaryotes, of which many appear as endophytes of Sphagnum mosses. Moreover, brown mosses and Sphagnum mosses represent habitats for archaea which were not studied in association with peatland mosses so far. Euryarchaeota that are capable of methane production (methanogens) displayed the majority of the moss-associated archaeal communities. Moss-associated methanogenesis was detected for the first time, but it was mostly negligible under laboratory conditions. Contrarily, substantial moss-associated methane oxidation was measured on both, brown mosses and Sphagnum mosses, supporting that methanotrophic bacteria as part of the moss microbiome may contribute to the reduction of methane emissions from pristine and rewetted peatlands of the northern hemisphere. Among the investigated abiotic and biotic environmental parameters, the peatland type and the host moss taxon were identified to have a major impact on the structure of moss-associated bacterial communities, contrarily to archaeal communities whose structures were similar among the investigated bryophytes. For the first time it was shown that different bog development stages harbour distinct bacterial communities, while at the same time a small core community is shared among all investigated bryophytes independent of geography and peatland type. The present thesis displays the first large-scale, systematic assessment of bacterial and archaeal communities associated both with brown mosses and Sphagnum mosses. It suggests that some host-specific moss taxa have the potential to play a key role in host moss establishment and peatland development. N2 - Während die Beziehungen zwischen Moosen und den mit ihnen assoziierten Mikroorganismen oft durch syntrophische Wechselwirkungen charakterisiert sind, ist die Struktur der Moos-assoziierten mikrobiellen Gemeinschaften sowie deren Rolle bei der Entstehung von Mooren weitgehend unbekannt. Die vorliegende Arbeit befasst sich mit mikrobiellen Gemeinschaften, die mit Moosen nördlicher, naturnaher Moore assoziiert sind, sowie mit den Umweltfaktoren, die sie beeinflussen. Entlang eines groß angelegten geographischen Gradienten, der von der Hocharktis bis zur gemäßigten Klimazone reicht, wurden vier naturbelassene Moore als Probenstandorte ausgesucht, die stellvertretend für verschiedene Stadien der Moorentwicklung stehen: zwei Braunmoos-dominierte Niedermoore mit nahezu neutralem pH-Wert sowie zwei Sphagnum-dominierte Torfmoore mit saurem pH-Wert. Die Ergebnisse der vorliegenden Arbeit machen deutlich, dass die zu den Bakterien zählenden Acetobacteraceae das vorherrschende mikrobielle Taxon der Sphagnum-Moose gleich welchen geographischen Ursprungs darstellen und insbesondere innerhalb des Wirtsmoosgewebes dominieren. Gleichzeitig gehörten die Acetobacteraceae zum wesentlichen Bestandteil der mikrobiellen Kerngemeinschaft aller untersuchten Moose, die sich aus einigen wenigen Arten, dafür zahlreich vorkommenden Prokaryoten zusammensetzt. Die vorliegende Arbeit zeigt zudem erstmals, dass sowohl Braunmoose als auch Torfmoose ein Habitat für Archaeen darstellen. Die Mehrheit der Moos-assoziierten Archaeen gehörte dabei zu den methanbildenden Gruppen, wenngleich die metabolischen Aktivitätsraten unter Laborbedingungen meistens kaum messbar waren. Im Gegensatz hierzu konnte die Bakterien-vermittelte Methanoxidation sowohl an Braunmoosen als auch an Sphagnum-Moosen gemessen werden. Dies zeigt eindrucksvoll, dass Moos-assoziierte Bakterien potenziell zur Minderung von Methanemissionen aus nördlichen, aber auch wiedervernässten Mooren beitragen können. Ein weiteres wichtiges Resultat der vorliegenden Arbeit ist die Bedeutung des Moortyps (Niedermoor oder Torfmoor), aber auch der Wirtsmoosart selbst für die Struktur der Moos-assoziierten Bakteriengemeinschaften, während die archaeellen Gemeinschaftsstrukturen weder vom Moortyp noch von der Wirtsmoosart beeinflusst wurden und sich insgesamt deutlich ähnlicher waren als die der Bakterien. Darüber hinaus konnte erstmalig gezeigt werden, dass sich die bakteriellen Gemeinschaften innerhalb der unterschiedlichen Moorsukzessionsstadien zwar ganz erheblich voneinander unterscheiden, ein kleiner Teil der Bakterien dennoch Kerngemeinschaften bilden, die mit allen untersuchten Moosarten assoziiert waren. Bei der hier präsentierten Arbeit handelt es sich um die erste systematische Studie, die sich auf einer großen geographischen Skala mit den bakteriellen und archaeellen Gemeinschaften von Braunmoosen und Torfmoosen aus naturbelassenen nördlichen Mooren befasst. Die vorliegenden Ergebnisse machen deutlich, dass die untersuchten Moose ein ganz spezifisches mikrobielles Konsortium beherbergen, welches mutmaßlich eine Schlüsselrolle bei der Etablierung der Wirtspflanzen am Anfang der Moorentwicklung spielt und darüber hinaus das Potential hat, die charakteristischen Eigenschaften von Mooren sowie deren weitere Entwicklung zu prägen. KW - moss-microbe-interactions KW - moss-associated bacteria KW - moss-associated archaea KW - northern peatlands KW - peatland core microbiome KW - Acetobacteraceae KW - moss-associated methanotrophy KW - moss-associated methanogenesis KW - Sphagnum KW - Amblystegiaceae KW - endophytes KW - brown mosses KW - epiphytes KW - peatland development KW - bryophytes KW - host-specificity KW - large-scale study KW - methanotrophic bacteria KW - methanogenic archaea KW - Essigsäurebakterien KW - Amblystegiaceae KW - Torfmoose KW - Braunmoose KW - Bryophyten KW - Endophyten KW - Epiphyten KW - Wirtsspezifität KW - geographische Großstudie KW - methanproduzierende Archaeen KW - methanoxidierende Bakterien KW - Moos-assoziierte Methanproduktion KW - Moos-assoziierte Methanoxidation KW - Moos-Mikroben-Interaktion KW - nördliche Moore KW - mikrobielle Moor-Kerngemeinschaft KW - Moorsukzession Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-630641 ER - TY - THES A1 - Hammel, Alexander T1 - Establishing the red microalga Porphyridium purpureum as a novel platform for the production of recombinant proteins T1 - Die Etablierung der roten Mikroalge Porphyridium purpureum als neue Platform für die Herstellung rekombinanter Proteine N2 - Microalgae have been recognized as a promising green production platform for recombinant proteins. The majority of studies on recombinant protein expression have been conducted in the green microalga C. reinhardtii. While promising improvement regarding nuclear transgene expression in this alga has been made, it is still inefficient due to epigenetic silencing, often resulting in low yields that are not competitive with other expressor organisms. Other microalgal species might be better suited for high-level protein expression, but are limited in their availability of molecular tools. The red microalga Porphyridium purpureum recently emerged as candidate for the production of recombinant proteins. It is promising in that transformation vectors are episomally maintained as autonomously replicating plasmids in the nucleus at a high copy number, thus leading to high expression values in this red alga. In this work, we expand the genetic tools for P. purpureum and investigate parameters that govern efficient transgene expression. We provide an improved transformation protocol to streamline the generation of transgenic lines in this organism. After being able to efficiently generate transgenic lines, we showed that codon usage is a main determinant of high-level transgene expression, not only at the protein level but also at the level of mRNA accumulation. The optimized expression constructs resulted in YFP accumulation up to an unprecedented 5% of the total soluble protein. Furthermore, we designed new constructs conferring efficient transgene expression into the culture medium, simplifying purification and harvests of recombinant proteins. To further improve transgene expression, we tested endogenous promoters driving the most highly transcribed genes in P. purpureum and found minor increase of YFP accumulation. We employed the previous findings to express complex viral antigens from the hepatitis B virus and the hepatitis C virus in P. purpureum to demonstrate its feasibility as producer of biopharmaceuticals. The viral glycoproteins were successfully produced to high levels and could reach their native confirmation, indicating a functional glycosylation machinery and an appropriate folding environment in this red alga. We could successfully upscale the biomass production of transgenic lines and with that provide enough material for immunization trials in mice that were performed in collaboration. These trials showed no toxicity of neither the biomass nor the purified antigens, and, additionally, the algal-produced antigens were able to elicit a strong and specific immune response. The results presented in this work pave the way for P. purpureum as a new promising producer organism for biopharmaceuticals in the microalgal field. N2 - Biotechnologisch hergestellte Proteine (rekombinante Proteine), wie zum Beispiel monoklonale Antikörper, Insulin oder diverse Impfstoffe, spielen heutzutage eine immer wichtigere Rolle bei der Bekämpfung von Krankheiten. Diese werden hauptsächlich aus genetisch veränderten humanen Zelllinien hergestellt. Die Produktion ist allerdings sehr teuer, anfällig für Kontaminationen und nicht nachhaltig. Als Alternative dazu können Mikroalgen benutzt werden, die viel günstiger kultiviert werden können und viele Vorteile bezüglich des ökologischen Aspekts bieten. Die bisherige Forschung an Mikroalgen als Plattform für die Herstellung rekombinanter Proteine konzentriert sich vor allem auf die grüne Mikroalge Chlamydomonas reinhardtii. Doch vor allem die geringe Proteinausbeute macht diese Alge nicht zum idealen Expressionsorganismus. Kürzlich wurde die rote Mikroalge Porphyridium purpureum als vielversprechende Kandidatin für die Produktion rekombinanter Proteine identifiziert. Besonders interessant ist, dass diese Alge rekombinante Proteine in einem hohen Maß exprimiert. Diese Arbeit beschäftigt sich mit dem Potenzial von Porphyridium purpureum als relativ unerforschte Alge. Es wurden neue genetische Werkzeuge entwickelt und verschiedene Faktoren untersucht, die die Expression von eingebrachten Genen beeinflussen. Durch Optimierung dieser Parameter konnten wir die Proteinausbeute eines gelb fluoreszierenden Proteins auf 5% des löslichen Gesamtproteins steigern. Wir haben das gewonnene Wissen genutzt, um jeweils ein Oberflächenprotein vom Hepatitis B Virus und vom Hepatitis C Virus in dieser roten Mikroalge herzustellen. Diese können als möglicher zukünftiger Impfstoff benutzt werden. Wir konnten zeigen, dass beide Proteine korrekt und in hoher Menge in Porphyridium purpureum hergestellt werden. Anschließend wurden die hergestellten Proteine auf ihre Wirksamkeit und Verträglichkeit an Mäusen getestet. Dabei wurde gezeigt, dass (i) Porphyridium purpureum nicht giftig ist und auch keine giftigen Produkte produziert und (ii) die produzierten Proteine eine effektive Immunantwort gegen die Viren induzieren. Mit dieser Arbeit wurde das Fundament für die biotechnologische Anwendung dieser roten Mikroalge gelegt. Die Ergebnisse dieser Studie zeigen, dass P. purpureum eine vielversprechende Mikroalgenart für die Produktion von biopharmazeutischen Proteinen ist. KW - microalgae KW - biotechnology KW - subunit vaccine KW - Biotechnologie KW - Mikroalgen KW - Untereinheitenimpfstoff Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-632709 ER - TY - JOUR A1 - Omranian, Sara A1 - Angeleska, Angela A1 - Nikoloski, Zoran T1 - Efficient and accurate identification of protein complexes from protein-protein interaction networks based on the clustering coefficient JF - Computational and structural biotechnology journal N2 - Identification of protein complexes from protein-protein interaction (PPI) networks is a key problem in PPI mining, solved by parameter-dependent approaches that suffer from small recall rates. Here we introduce GCC-v, a family of efficient, parameter-free algorithms to accurately predict protein complexes using the (weighted) clustering coefficient of proteins in PPI networks. Through comparative analyses with gold standards and PPI networks from Escherichia coli, Saccharomyces cerevisiae, and Homo sapiens, we demonstrate that GCC-v outperforms twelve state-of-the-art approaches for identification of protein complexes with respect to twelve performance measures in at least 85.71% of scenarios. We also show that GCC-v results in the exact recovery of similar to 35% of protein complexes in a pan-plant PPI network and discover 144 new protein complexes in Arabidopsis thaliana, with high support from GO semantic similarity. Our results indicate that findings from GCC-v are robust to network perturbations, which has direct implications to assess the impact of the PPI network quality on the predicted protein complexes. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. KW - Protein complexes KW - Protein-protein interaction KW - Network clustering KW - Species comparison Y1 - 2021 U6 - https://doi.org/10.1016/j.csbj.2021.09.014 SN - 2001-0370 VL - 19 SP - 5255 EP - 5263 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Hampf, Anna A1 - Nendel, Claas A1 - Strey, Simone A1 - Strey, Robert T1 - Biotic yield losses in the Southern Amazon, Brazil BT - making use of smartphone-assisted plant disease diagnosis data JF - Frontiers in plant science : FPLS N2 - Pathogens and animal pests (P&A) are a major threat to global food security as they directly affect the quantity and quality of food. The Southern Amazon, Brazil's largest domestic region for soybean, maize and cotton production, is particularly vulnerable to the outbreak of P&A due to its (sub)tropical climate and intensive farming systems. However, little is known about the spatial distribution of P&A and the related yield losses. Machine learning approaches for the automated recognition of plant diseases can help to overcome this research gap. The main objectives of this study are to (1) evaluate the performance of Convolutional Neural Networks (ConvNets) in classifying P&A, (2) map the spatial distribution of P&A in the Southern Amazon, and (3) quantify perceived yield and economic losses for the main soybean and maize P&A. The objectives were addressed by making use of data collected with the smartphone application Plantix. The core of the app's functioning is the automated recognition of plant diseases via ConvNets. Data on expected yield losses were gathered through a short survey included in an "expert" version of the application, which was distributed among agronomists. Between 2016 and 2020, Plantix users collected approximately 78,000 georeferenced P&A images in the Southern Amazon. The study results indicate a high performance of the trained ConvNets in classifying 420 different crop-disease combinations. Spatial distribution maps and expert-based yield loss estimates indicate that maize rust, bacterial stalk rot and the fall armyworm are among the most severe maize P&A, whereas soybean is mainly affected by P&A like anthracnose, downy mildew, frogeye leaf spot, stink bugs and brown spot. Perceived soybean and maize yield losses amount to 12 and 16%, respectively, resulting in annual yield losses of approximately 3.75 million tonnes for each crop and economic losses of US$2 billion for both crops together. The high level of accuracy of the trained ConvNets, when paired with widespread use from following a citizen-science approach, results in a data source that will shed new light on yield loss estimates, e.g., for the analysis of yield gaps and the development of measures to minimise them. KW - plant pathology KW - animal pests KW - pathogens KW - machine learning KW - digital KW - image processing KW - disease diagnosis KW - crowdsourcing KW - crop losses Y1 - 2021 U6 - https://doi.org/10.3389/fpls.2021.621168 SN - 1664-462X VL - 12 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Irob, Katja A1 - Blaum, Niels A1 - Baldauf, Selina A1 - Kerger, Leon A1 - Strohbach, Ben A1 - Kanduvarisa, Angelina A1 - Lohmann, Dirk A1 - Tietjen, Britta T1 - Browsing herbivores improve the state and functioning of savannas BT - A model assessment of alternative land-use strategies JF - Ecology and evolution N2 - Changing climatic conditions and unsustainable land use are major threats to savannas worldwide. Historically, many African savannas were used intensively for livestock grazing, which contributed to widespread patterns of bush encroachment across savanna systems. To reverse bush encroachment, it has been proposed to change the cattle-dominated land use to one dominated by comparatively specialized browsers and usually native herbivores. However, the consequences for ecosystem properties and processes remain largely unclear. We used the ecohydrological, spatially explicit model EcoHyD to assess the impacts of two contrasting, herbivore land-use strategies on a Namibian savanna: grazer- versus browser-dominated herbivore communities. We varied the densities of grazers and browsers and determined the resulting composition and diversity of the plant community, total vegetation cover, soil moisture, and water use by plants. Our results showed that plant types that are less palatable to herbivores were best adapted to grazing or browsing animals in all simulated densities. Also, plant types that had a competitive advantage under limited water availability were among the dominant ones irrespective of land-use scenario. Overall, the results were in line with our expectations: under high grazer densities, we found heavy bush encroachment and the loss of the perennial grass matrix. Importantly, regardless of the density of browsers, grass cover and plant functional diversity were significantly higher in browsing scenarios. Browsing herbivores increased grass cover, and the higher total cover in turn improved water uptake by plants overall. We concluded that, in contrast to grazing-dominated land-use strategies, land-use strategies dominated by browsing herbivores, even at high herbivore densities, sustain diverse vegetation communities with high cover of perennial grasses, resulting in lower erosion risk and bolstering ecosystem services. KW - browsing KW - ecohydrology KW - land use KW - plant community KW - savanna KW - wildlife KW - management Y1 - 2022 U6 - https://doi.org/10.1002/ece3.8715 SN - 2045-7758 VL - 12 IS - 3 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Ghafarian, Fatemeh A1 - Wieland, Ralf A1 - Lüttschwager, Dietmar A1 - Nendel, Claas T1 - Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data JF - Environmental modelling & software with environment data news N2 - Forest microclimate can buffer biotic responses to summer heat waves, which are expected to become more extreme under climate warming. Prediction of forest microclimate is limited because meteorological observation standards seldom include situations inside forests. We use eXtreme Gradient Boosting - a Machine Learning technique - to predict the microclimate of forest sites in Brandenburg, Germany, using seasonal data comprising weather features. The analysis was amended by applying a SHapley Additive explanation to show the interaction effect of variables and individualised feature attributions. We evaluate model performance in comparison to artificial neural networks, random forest, support vector machine, and multi-linear regression. After implementing a feature selection, an ensemble approach was applied to combine individual models for each forest and improve robustness over a given single prediction model. The resulting model can be applied to translate climate change scenarios into temperatures inside forests to assess temperature-related ecosystem services provided by forests. KW - cooling effect KW - machine learning KW - ensemble method KW - ecosystem services Y1 - 2022 U6 - https://doi.org/10.1016/j.envsoft.2022.105466 SN - 1364-8152 SN - 1873-6726 VL - 156 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Caserta, Giorgio A1 - Zhang, Xiaorong A1 - Yarman, Aysu A1 - Supala, Eszter A1 - Wollenberger, Ulla A1 - Gyurcsányi, Róbert E. A1 - Zebger, Ingo A1 - Scheller, Frieder W. T1 - Insights in electrosynthesis, target binding, and stability of peptide-imprinted polymer nanofilms JF - Electrochimica acta : the journal of the International Society of Electrochemistry (ISE) N2 - Molecularly imprinted polymer (MIP) nanofilms have been successfully implemented for the recognition of different target molecules: however, the underlying mechanistic details remained vague. This paper provides new insights in the preparation and binding mechanism of electrosynthesized peptide-imprinted polymer nanofilms for selective recognition of the terminal pentapeptides of the beta-chains of human adult hemoglobin, HbA, and its glycated form HbA1c. To differentiate between peptides differing solely in a glucose adduct MIP nanofilms were prepared by a two-step hierarchical electrosynthesis that involves first the chemisorption of a cysteinyl derivative of the pentapeptide followed by electropolymerization of scopoletin. This approach was compared with a random single-step electrosynthesis using scopo-letin/pentapeptide mixtures. Electrochemical monitoring of the peptide binding to the MIP nanofilms by means of redox probe gating revealed a superior affinity of the hierarchical approach with a Kd value of 64.6 nM towards the related target. Changes in the electrosynthesized non-imprinted polymer and MIP nanofilms during chemical, electrochemical template removal and rebinding were substantiated in situ by monitoring the characteristic bands of both target peptides and polymer with surface enhanced infrared absorption spectroscopy. This rational approach led to MIPs with excellent selectivity and provided key mechanistic insights with respect to electrosynthesis, rebinding and stability of the formed MIPs. KW - SEIRA spectroelectrochemistry KW - peptide imprinting KW - electrosynthesis KW - MIP KW - glycated peptide Y1 - 2021 U6 - https://doi.org/10.1016/j.electacta.2021.138236 SN - 0013-4686 SN - 1873-3859 VL - 381 PB - Elsevier CY - New York, NY [u.a.] ER - TY - JOUR A1 - Mitzscherling, Julia A1 - MacLean, Joana A1 - Lipus, Daniel A1 - Bartholomäus, Alexander A1 - Mangelsdorf, Kai A1 - Lipski, André A1 - Roddatis, Vladimir A1 - Liebner, Susanne A1 - Wagner, Dirk T1 - Nocardioides alcanivorans sp. nov., a novel hexadecane-degrading species isolated from plastic waste JF - International journal of systematic and evolutionary microbiology N2 - Strain NGK65(T), a novel hexadecane degrading, non-motile, Gram-positive, rod-to-coccus shaped, aerobic bacterium, was isolated from plastic polluted soil sampled at a landfill. Strain NGK65(T) hydrolysed casein, gelatin, urea and was catalase-positive. It optimally grew at 28 degrees C. in 0-1% NaCl and at pH 7.5-8.0. Glycerol, D-glucose, arbutin, aesculin, salicin, potassium 5-ketogluconate. sucrose, acetate, pyruvate and hexadecane were used as sole carbon sources. The predominant membrane fatty acids were iso-C-16:0 followed by iso-C(17:)0 and C-18:1 omega 9c. The major polar lipids were phosphatidylglycerol, phosphatidylethanolamine, phosphatidylinositol and hydroxyphosphatidylinositol. The cell-wall peptidoglycan type was A3 gamma, with LL-diaminopimelic acid and glycine as the diagnostic amino acids. MK 8 (H-4) was the predominant menaquinone. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain NGK65(T) belongs to the genus Nocardioides (phylum Actinobacteria). appearing most closely related to Nocardioides daejeonensis MJ31(T) (98.6%) and Nocardioides dubius KSL-104(T) (98.3%). The genomic DNA G+C content of strain NGK65(T) was 68.2%. Strain NGK65(T) and the type strains of species involved in the analysis had average nucleotide identity values of 78.3-71.9% as well as digital DNA-DNA hybridization values between 22.5 and 19.7%, which clearly indicated that the isolate represents a novel species within the genus Nocardioides. Based on phenotypic and molecular characterization, strain NGK65(T) can clearly be differentiated from its phylogenetic neighbours to establish a novel species, for which the name Nocardioides alcanivorans sp. nov. is proposed. The type strain is NGK65(T) (=DSM 113112(T)=NCCB 100846(T)). KW - Nocardioides alcanivorans KW - hexadecane KW - plastic degradation KW - terrestrial KW - plastisphere KW - bacteria Y1 - 2022 U6 - https://doi.org/10.1099/ijsem.0.005319 SN - 1466-5026 SN - 1466-5034 VL - 72 IS - 4 PB - Microbiology Society CY - London ER - TY - JOUR A1 - Hilt, Sabine A1 - Grossart, Hans-Peter A1 - McGinnis, Daniel F. A1 - Keppler, Frank T1 - Potential role of submerged macrophytes for oxic methane production in aquatic ecosystems JF - Limnology and oceanography N2 - Methane (CH4) from aquatic ecosystems contributes to about half of total global CH4 emissions to the atmosphere. Until recently, aquatic biogenic CH4 production was exclusively attributed to methanogenic archaea living under anoxic or suboxic conditions in sediments, bottom waters, and wetlands. However, evidence for oxic CH4 production (OMP) in freshwater, brackish, and marine habitats is increasing. Possible sources were found to be driven by various planktonic organisms supporting different OMP mechanisms. Surprisingly, submerged macrophytes have been fully ignored in studies on OMP, yet they are key components of littoral zones of ponds, lakes, and coastal systems. High CH4 concentrations in these zones have been attributed to organic substrate production promoting classic methanogenesis in the absence of oxygen. Here, we review existing studies and argue that, similar to terrestrial plants and phytoplankton, macroalgae and submerged macrophytes may directly or indirectly contribute to CH4 formation in oxic waters. We propose several potential direct and indirect mechanisms: (1) direct production of CH4; (2) production of CH4 precursors and facilitation of their bacterial breakdown or chemical conversion; (3) facilitation of classic methanogenesis; and (4) facilitation of CH4 ebullition. As submerged macrophytes occur in many freshwater and marine habitats, they are important in global carbon budgets and can strongly vary in their abundance due to seasonal and boom-bust dynamics. Knowledge on their contribution to OMP is therefore essential to gain a better understanding of spatial and temporal dynamics of CH4 emissions and thus to substantially reduce current uncertainties when estimating global CH4 emissions from aquatic ecosystems. Y1 - 2022 U6 - https://doi.org/10.1002/lno.12095 SN - 0024-3590 SN - 1939-5590 PB - Wiley CY - Hoboken ER -