Biology subjects

Simoens, K.

Publications and source records attributed to Simoens, K..

2 recordsLinked to original sources

bioRxiv2023

Enhanced protein secretion in reduced genome strains of Streptomyces lividans

S. lividans TK24 is a popular host for the production of small molecules and for the secretion of heterologous proteins. TK24 has a large genome with at least 29 secondary metabolite gene clusters that are non-essential for viability and undergo complex regulation. To optimize heterologous protein secretion, we previously constructed ten chassis strains that are devoid of several secondary metabolite gene clusters. Genome reduction was aimed at reducing carbon flow to secondary metabolites and pigmentation in the spent growth medium and improving colony morphology. Strains RG1.0-RG1.10 contain various deletion combinations of the blue actinorhodin cluster (act), the calcium-dependent antibiotic (cda), the undecylprodigiosin (red) and coelimycin A (cpk) clusters, the melanin cluster (mel), the matAB genes that affect mycelial aggregation and the non-essential sigma factor hrdD that controls the transcription of Act and Red regulatory proteins. Two derivative strains, RG1.5 and 1.9, showed a [~]15% reduction in growth rate, >2-fold increase in the total mass yield of their native secretome and altered abundance of several specific proteins compared with TK24. Metabolomics and RNAseq analysis revealed that genome reduction led to rapid cessation of growth due to aminoacid depletion and caused both redox and cell envelope stresses, upregulation of the Sec-pathway components secDF and chaperones and a cell envelope two component regulator. RG1.9 maintained elevated heterologous secretion of mRFP and mTNF by 12-70%. An integrated model is presented linking genome reduction and enhanced secretion.

systems biology↗

bioRxiv2023

Starvation response strategies of human gut bacteria Bacteroides thetaiotaomicron and Roseburia intestinalis and their impact on co-culture dynamics

Bacterial growth often alters the environment, which in turn can impact interspecies interactions among bacteria. Here, we used an in vitro batch system containing mucin beads to emulate the dynamic host environment and to study its impact on the interactions between two abundant and prevalent human gut bacteria, the primary fermenter Bacteroides thetaiotaomicron and the butyrate producer Roseburia intestinalis. By combining machine learning and flow cytometry, we found that the number of viable B. thetaiotaomicron cells decreases with glucose consumption due to acid production, while R. intestinalis survives post-glucose depletion by entering a slow growth mode. Both species attach to mucin beads, but only viable cell counts of B. thetaiotaomicron increase significantly. The number of viable co-culture cells varies significantly over time compared to those of monocultures. A combination of targeted metabolomics and RNA-seq showed that the slow growth mode of R. intestinalis represents a diauxic shift towards acetate and lactate consumption, whereas B. thetaiotaomicron survives glucose depletion and low pH by foraging on mucin sugars. In addition, most of the mucin monosaccharides we tested inhibited the growth of R. intestinalis but not B. thetaiotaomicron. We encoded these causal relationships in a kinetic model, which reproduced the observed dynamics. In summary, we explored how R. intestinalis and B. thetaiotaomicron respond to nutrient scarcity and how this affects their dynamics. We highlight the importance of understanding bacterial metabolic strategies to effectively modulate microbial dynamics in changing conditions.

microbiology↗