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Waldminghaus, T.

Publications and source records attributed to Waldminghaus, T..

2 recordsLinked to original sources

Limited specificity of molecular interactions incurs an environment-dependent fitness cost in bacteria

Reliable operation of cellular programs depends crucially on the specificity of biomolecular interactions. In gene regulatory networks, the appropriate expression of genes is determined through the specific binding of transcription factors (TFs) to their cognate DNA sequences. However, the large genomic background likely contains many DNA sequences showing similarity to TF target motifs, potentially allowing for substantial non-cognate TF binding with low specificity. Whether and how non-cognate TF binding impacts cellular function and fitness remains unclear. We show that increased expression of different transcriptional regulators in Escherichia coli and Salmonella enterica can significantly inhibit population growth across multiple environments. This effect depends upon (i) TF binding to a large number of DNA sequences with low specificity, (ii) TF cooperativity, and (iii) the ratio of TF to DNA. DNA binding due to the limited specificity of promiscuous or non-native TFs can thus severely impact fitness, giving rise to a fundamental biophysical constraint on gene regulatory design and evolution.

molecular biology↗

γBOriS: Identification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning

The biology of bacterial cells is, in general, based on the information encoded on circular chromosomes. Regulation of chromosome replication is an essential process which mostly takes place at the origin of replication (oriC). Identification of high numbers of oriC is a prerequisite to enable systematic studies that could lead to insights of oriC functioning as well as novel drug targets for antibiotic development. Current methods for identyfing oriC sequences rely on chromosome-wide nucleotide disparities and are therefore limited to fully sequenced genomes, leaving a superabundance of genomic fragments unstudied. Here, we present{gamma} BOriS (Gammaproteobacterial oriC Searcher), which accurately identifies oriC sequences on gammaproteobacterial chromosomal fragments by employing motif-based DNA classification. Using{gamma} BOriS, we created BOriS DB, which currently contains 25,827 oriC sequences from 1,217 species, thus making it the largest available database for oriC sequences to date.

bioinformatics↗