Towards novel amino acid-base contacts in gene regulatory proteins: AraR--a case study

Engineering Bacillus subtilis J46 for efficient utilization of galactose through adaptive laboratory evolution

Efficient utilization of galactose by microorganisms can lead to the production of valuable bio-products and improved metabolic processes. While Bacillus subtilis has inherent pathways for galactose metabolism, there is potential for enhancement via evolutionary strategies. This study aimed to boost galactose utilization in B. subtilis using adaptive laboratory evolution (ALE) and to elucidate the genetic and metabolic changes underlying the observed enhancements. The strains of B. subtilis underwent multiple rounds of adaptive laboratory evolution (approximately 5000 generations) in an environment that favored the use of galactose. This process resulted in an enhanced specific growth rate of 0.319 ± 0.005 h-1, a significant increase from the 0.03 ± 0.008 h-1 observed in the wild-type strains. Upon selecting the evolved strain BSGA14, a comprehensive whole-genome sequencing revealed the presence of 63 single nucleotide polymorphisms (SNPs). Two of them, located in the coding sequences of the genes araR and glcR, were found to be the advantageous mutations after reverse engineering. The strain with these two accumulated mutations, BSGALE4, exhibited similar specific growth rate on galactose to the evolved strain BSGA14 (0.296 ± 0.01 h-1). Furthermore, evolved strain showed higher productivity of protease and β-galactosidase in mock soybean biomass medium. ALE proved to be a potent tool for enhancing galactose metabolism in B. subtilis. The findings offer valuable insights into the potential of evolutionary strategies in microbial engineering and pave the way for industrial applications harnessing enhanced galactose conversion.

Plasticity in Repressor-DNA Interactions Neutralizes Loss of Symmetry in Bipartite Operators

Transcription factor-DNA interactions are central to gene regulation. Many transcription factors regulate multiple target genes and can bind sequences that do not conform strictly to the consensus. To understand the structural mechanism utilized by the transcription regulators to bind diverse target sequences, we have employed the repressor AraR from Bacillus subtilis as a model system. AraR is known to bind to eight different operator sites in the bacterial genome. Although there are differences in the sequences of four of these operators, ORE1, ORX1, ORA1, and ORR3, the AraR-DNA binding domain (AraR-DBD) as well as full-length AraR unexpectedly binds to each of these sequences with similar affinities as measured by fluorescence anisotropy experiments. We have determined crystal structures of AraR-DBD in complex with two different natural operators ORE1 and ORX1 up to 2.07 and 1.97 Å resolution, respectively. These structures were compared with the previously reported structures of AraR-DBD bound to two other natural operators (ORA1 and ORR3). Interactions of two molecules of AraR-DBD with the symmetric operator, ORE1, are identical, but their interaction with the non-symmetric operator ORX1 results in breakdown of the symmetry in protein-DNA interactions. The novel interactions observed are accompanied by local conformational change in the DNA. ChIP-sequencing (ChIP-Seq) data on other transcription factors has shown that they can bind to diverse targets, and hence the plasticity exhibited by AraR may be a general phenomenon. The ability of transcription factors to form alternate interactions may be important for employment in new functions and evolution of novel regulatory circuits.