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Institution

University of Luxembourg

EducationLuxembourg, Luxembourg
About: University of Luxembourg is a education organization based out in Luxembourg, Luxembourg. It is known for research contribution in the topics: Population & European union. The organization has 4744 authors who have published 22175 publications receiving 381824 citations.


Papers
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Journal ArticleDOI
TL;DR: Investigation of links between genotype and ecology of two genotypic groups of Leptospirillum group II bacteria in comprehensively characterized, natural acidophilic biofilm communities shows how subtle genetic variations can lead to distinct ecological strategies.
Abstract: Bacterial species concepts are controversial. More widely accepted is the need to understand how differences in gene content and sequence lead to ecological divergence. To address this relationship in ecosystem context, we investigated links between genotype and ecology of two genotypic groups of Leptospirillum group II bacteria in comprehensively characterized, natural acidophilic biofilm communities. These groups share 99.7% 16S rRNA gene sequence identity and 95% average amino acid identity between their orthologs. One genotypic group predominates during early colonization, and the other group typically proliferates in later successional stages, forming distinct patches tens to hundreds of micrometers in diameter. Among early colonizing populations, we observed dominance of five genotypes that differed from each other by the extent of recombination with the late colonizing type. Our analyses suggest that the specific recombinant variant within the early colonizing group is selected for by environmental parameters such as temperature, consistent with recombination as a mechanism for ecological fine tuning. Evolutionary signatures, and strain-resolved expression patterns measured via mass spectrometry–based proteomics, indicate increased cobalamin biosynthesis, (de)methylation, and glycine cleavage in the late colonizer. This may suggest environmental changes within the biofilm during development, accompanied by redirection of compatible solutes from osmoprotectants toward metabolism. Across 27 communities, comparative proteogenomic analyses show that differential regulation of shared genes and expression of a small subset of the ∼15% of genes unique to each genotype are involved in niche partitioning. In summary, the results show how subtle genetic variations can lead to distinct ecological strategies.

144 citations

Journal ArticleDOI
TL;DR: This work discusses several representative metaproteomic investigations of activated sludge, acid mine drainage biofilms, freshwater and seawater microbial communities, soil, and human gut microbiota and highlights current challenges and possible solutions to enable conclusive links between microbial community composition, physiology, function, interactions, ecology, and evolution in situ.
Abstract: We are living through exciting times during which we are able to unravel the “microbial dark matter” in and around us through the application of high-resolution “meta-omics”. Metaproteomics offers the ability to resolve the major catalytic units of microbial populations and thereby allows the establishment of genotype-phenotype linkages from in situ samples. A decade has passed since the term “metaproteomics” was first coined and corresponding analyses were carried out on mixed microbial communities. Since then metaproteomics has yielded many important insights into microbial ecosystem function in the various environmental settings where it has been applied. Although initial progress in analytical capacities and resulting numbers of proteins identified was extremely fast, this trend slowed rapidly. Here, we discuss several representative metaproteomic investigations of activated sludge, acid mine drainage biofilms, freshwater and seawater microbial communities, soil, and human gut microbiota. By using these case studies, we highlight current challenges and possible solutions for metaproteomics to realize its full potential, i.e. to enable conclusive links between microbial community composition, physiology, function, interactions, ecology, and evolution in situ.

143 citations

Journal ArticleDOI
TL;DR: A map of the main characteristics that MANETs simulation tools should feature and the current support of these is provided, including a description for each simulator, including an explanation of what make them appealing solutions.

143 citations

Journal ArticleDOI
TL;DR: In this article, a simple and effective approach that incorporates isogeometric finite element analysis (IGA) with a refined plate theory (RPT) for static, free vibration and buckling analysis of functionally graded material (FGM) plates is proposed.
Abstract: We present in this paper a simple and effective approach that incorporates isogeometric finite element analysis (IGA) with a refined plate theory (RPT) for static, free vibration and buckling analysis of functionally graded material (FGM) plates. A new inverse tangent distributed function through the plate thickness is proposed. The RPT enables us to describe the non-linear distribution of shear stresses through the plate thickness without any requirement of shear correction factors (SCF). IGA utilizes basis functions namely B-splines or non-uniform rational B-splines (NURBS) which reach easily the smoothness of any arbitrary order. It hence satisfies the C1 requirement of the RPT model. The present method approximates the displacement field with four degrees of freedom per each control point allowing an efficient solution process.

142 citations

Journal ArticleDOI
TL;DR: This second part of this state-of-the-art overview on aggregation theory focuses on several construction methods for aggregation functions and on special classes of aggregation functions, covering the well-known conjunctive, disjunctive, and mixed aggregation functions.

142 citations


Authors

Showing all 4893 results

NameH-indexPapersCitations
Jun Wang1661093141621
Leroy Hood158853128452
Andreas Heinz108107845002
Philippe Dubois101109848086
John W. Berry9735152470
Michael Müller9133326237
Bart Preneel8284425572
Bjorn Ottersten81105828359
Sander Kersten7924623985
Alexandre Tkatchenko7727126863
Rudi Balling7523819529
Lionel C. Briand7538024519
Min Wang7271619197
Stephen H. Friend7018453422
Ekhard K. H. Salje7058119938
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
2022250
20211,671
20201,776
20191,710
20181,663