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Herrmann, M.

Publications and source records attributed to Herrmann, M..

2 recordsLinked to original sources

Contrasting patterns of divergence at the regulatory and sequence level in European Daphnia galeata natural populations

Understanding the genetic basis of local adaptation has long been a focus of evolutionary biology. Recently there has been increased interest in deciphering the evolutionary role of Daphnias plasticity and the molecular mechanisms of local adaptation. Using transcriptome data, we assessed the differences in gene expression profiles and sequences in four European Daphnia galeata populations. In total, ~33% of 32,903 transcripts were differentially expressed between populations. Among 10,280 differentially expressed transcripts, 5,209 transcripts deviated from neutral expectations and their population-specific expression pattern is likely the result of local adaptation processes. Furthermore, a SNP analysis allowed inferring population structure and distribution of genetic variation. The population divergence at the sequence-level was comparatively higher than the gene expression level by several orders of magnitude and consistent with strong founder effects and lack of gene flow between populations. Using sequence information, the candidate transcripts were annotated using a comparative genomics approach. Thus, we identified candidate transcriptomic regions for local adaptation in a key species of aquatic ecosystems in the absence of any laboratory induced stressor.

evolutionary biology

Engineered Microbes to Sense and Respond to Enterotoxigenic Escherichia coli

Every year, Enterotoxigenic Escherichia coli (ETEC), the most common form of travelers diarrhea, affects thousands of military personnel deployed overseas. The goal of this research was to engineer non-pathogenic E. coli to sense ETEC, respond to its presence, and package the non-pathogenic E. coli in a cellulose matrix to enable environmental detection of ETEC. Two plasmids were created: sense-respond; and packaging. The sense-respond plasmid detected autoinducer 2 (AI-2), a quorum sensing molecule created by most ETEC strains, by expressing LsrR which switches on the Lsr promoter. Activation of the Lsr promoter expresses superfolder green fluorescent protein (sfGFP), indicating the presence of ETEC. The packaging plasmid expresses a fusion protein consisting of curli fibers and cellulose binding domains. These modified surface proteins permit the bacteria to bind to cellulose, encapsulating the sense-response module. This genetically engineered machine could be deployed in both the internal and external environment to detect ETEC.

synthetic biology