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Ecological Perspectives on Synthetic Biology: Insights from Microbial Population Biology [PDF]

open access: goldFrontiers in Microbiology, 2015
The metabolic capabilities of microbes are the basis for many major biotechnological advances, exploiting microbial diversity by selection or engineering of single strains.
Ana E Escalante   +7 more
doaj   +12 more sources

Population-based microbial computing: a third wave of synthetic biology? [PDF]

open access: closedInternational Journal of General Systems, 2014
Synthetic biology is an emerging research field, in which engineering principles are applied to natural, living systems. A major goal of synthetic biology is to harness the inherent “biological nanotechnology” of living cells for the purposes of computation, production or diagnosis.
Martyn Amos
semanticscholar   +4 more sources

Neurospora from natural populations: Population genomics insights into the Life history of a model microbial Eukaryote [PDF]

open access: yesMethods in molecular biology, 2020
The ascomycete filamentous fungus Neurospora crassa played a historic role in experimental biology and became a model system for genetic research. Stimulated by a systematic effort to collect wild strains initiated by Stanford geneticist David Perkins ...
A Menkis   +80 more
core   +3 more sources

New website for the Microbial Population Biology Department

open access: gold, 2019
If you have not seen it, check out the all new website of the Microbial Population Biology Department. It provides in-depth information about all ongoing research projects in the Department and its affiliated Research Groups. There’s also a section on computational pipelines and the pseudomonas fluorescens SBW25 knowledge base (prototype reachable from
Carsten Fortmann-Grote
openaire   +2 more sources

Review of the Arbitrium (ARM) System: Molecular Mechanisms, Ecological Impacts, and Applications in Phage–Host Communication [PDF]

open access: yesMicroorganisms
Bacteriophages (phages) play a pivotal role in shaping microbial communities and driving bacterial evolution. Among the diverse mechanisms governing phage–host interactions, the Arbitrium (ARM) communication system represents a recently discovered ...
Junjie Shang, Qian Zhou, Yunlin Wei
doaj   +2 more sources

RAREFAN: A webservice to identify REPINs and RAYTs in bacterial genomes

open access: yesPeer Community Journal, 2023
Compared to eukaryotes, repetitive sequences are rare in bacterial genomes and usually do not persist for long. Yet, there is at least one class of persistent prokaryotic mobile genetic elements: REPINs.
Fortmann-Grote, Carsten   +2 more
doaj   +1 more source

Advances in Methods of Microbial Molecular Ecology

open access: yesShipin gongye ke-ji, 2022
Microbial molecular ecology is an interdisciplinary of molecular biology and microbial ecology. It is important to understand the composition and structure, function, the relationship between microorganisms and the relationship between microorganisms and
Zai LIU   +6 more
doaj   +1 more source

Evolution of genome fragility enables microbial division of labor

open access: yesMolecular Systems Biology, 2023
Division of labor can evolve when social groups benefit from the functional specialization of its members. Recently, a novel means of coordinating the division of labor was found in the antibiotic‐producing bacterium Streptomyces coelicolor, where ...
Enrico Sandro Colizzi   +4 more
doaj   +1 more source

Contrasting coffee leaf rust epidemics between forest coffee and semi-forest coffee agroforestry systems in SW-Ethiopia

open access: yesHeliyon, 2022
Ethiopian Arabica coffee is produced in different agroforestry systems which differ in forest management intensity. In forest coffee systems (FC), coffee shrubs grow naturally in the understory of Afromontane forests with little human intervention ...
Gerba Daba   +5 more
doaj   +1 more source

Heterogeneity of treatment responses in rheumatoid arthritis using group based trajectory models: secondary analysis of clinical trial data

open access: yesBMC Rheumatology, 2023
Background Traditionally rheumatoid arthritis (RA) trials classify patients as responders and non-responders; they ignore the potential range of treatment responses. Group Based Trajectory Models (GBTMs) provide a more refined approach.
Fowzia Ibrahim   +3 more
doaj   +1 more source

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