Manja Saebelfeld

ORCID: 0000-0003-0142-2574
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About
Contact & Profiles
Research Areas
  • Evolution and Genetic Dynamics
  • Evolutionary Game Theory and Cooperation
  • Bacillus and Francisella bacterial research
  • Insect and Pesticide Research
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Antibiotic Resistance in Bacteria
  • Agriculture Sustainability and Environmental Impact
  • Genetics, Aging, and Longevity in Model Organisms
  • Gut microbiota and health
  • Insect Resistance and Genetics
  • Pharmacogenetics and Drug Metabolism
  • Parasite Biology and Host Interactions
  • Insect Utilization and Effects
  • Fish Ecology and Management Studies
  • Ecology and biodiversity studies
  • Environmental Toxicology and Ecotoxicology
  • Bacterial Genetics and Biotechnology

University of Cologne
2021-2022

Wageningen University & Research
2021-2022

Leibniz Institute of Freshwater Ecology and Inland Fisheries
2016

Freie Universität Berlin
2016

Institut für Angewandte Gewässerökologie (Germany)
2016

Kiel University
2015

Reciprocal coevolution between host and pathogen is widely seen as a major driver of evolution biological innovation. Yet, to date, the underlying genetic mechanisms associated trait functions that are unique rapid coevolutionary change generally unknown. We here combined experimental bacterial biocontrol agent Bacillus thuringiensis its nematode Caenorhabditis elegans with large-scale phenotyping, whole genome analysis, functional genetics demonstrate selective benefit virulence toxin genes...

10.1371/journal.pbio.1002169 article EN cc-by PLoS Biology 2015-06-04

Abstract Parasites are rarely included in food web studies, although they can strongly alter trophic interactions. In aquatic ecosystems, poorly grazed cyanobacteria often dominate phytoplankton communities, leading to the decoupling of primary and secondary production. Here, we addressed interface between predator-prey host-parasite interactions by conducting a life-table experiment, which four Daphnia galeata genotypes were maintained on quantitatively comparable diets consisting healthy...

10.1038/srep35039 article EN cc-by Scientific Reports 2016-10-13

Abstract The nematode Caenorhabditis elegans is a central laboratory model system in almost all biological disciplines, yet its natural life history and population biology are largely unexplored. Such information essential for in‐depth understanding of the nematode's because ecology provides context, which traits underlying molecular mechanisms evolved. We characterized phenotypic genetic variation among North German C. isolates. used unique opportunity to compare samples collected 10 years...

10.1002/ece3.1605 article EN cc-by Ecology and Evolution 2015-07-15

For antibiotic resistance to arise, new resistant mutants must establish in a bacterial population before they can spread via natural selection. Comprehending the stochastic factors that influence mutant establishment is crucial for quantitative understanding of emergence. Here, we quantify single-cell probability four Escherichia coli strains expressing β-lactamase alleles with different activity against cefotaxime, as function concentration both unstructured (liquid) and structured (agar)...

10.1098/rspb.2021.2486 article EN cc-by Proceedings of the Royal Society B Biological Sciences 2022-05-04

For a better understanding of the evolution antibiotic resistance, it is imperative to study factors that determine initial establishment mutant resistance alleles. In addition concentration, alleles may be affected by interactions with surrounding susceptible cells from which they derive, for instance via release nutrients or removal antibiotic. Here, we investigate effects social on Escherichia coli mutants increasing β-lactamase activity (i.e., capacity hydrolyze β-lactam antibiotics)...

10.3389/fmicb.2021.698970 article EN cc-by Frontiers in Microbiology 2021-08-19

Abstract For antibiotic resistance to arise, new resistant mutants must establish in a bacterial population before they can spread via natural selection. Comprehending the stochastic factors that influence mutant establishment is crucial for quantitative understanding of emergence. Here, we quantify single-cell probability four Escherichia coli strains expressing β-lactamase alleles with different activity against cefotaxime, as function concentration both unstructured (liquid) and...

10.1101/2021.02.09.430436 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-02-11

Abstract For a better understanding of the evolution antibiotic resistance, it is imperative to study factors that determine initial establishment mutant resistance alleles. In addition concentration, alleles may be affected by interactions with surrounding susceptible cells from which they derive, for instance via release nutrients or removal antibiotic. Here, we investigate effects social on Escherichia coli mutants increasing β-lactamase activity (i.e. capacity hydrolyze β-lactam...

10.1101/2021.04.20.440616 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-04-20
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