The molecular weight of hyaluronan is important for its rheological and biological function. The molecular mechanisms underlying chain termination and hence molecular weight control remain poorly understood, not only for hyaluronan synthases but also for other ␤-polysaccharide synthases, e.g. cellulose, chitin, and 1,3-betaglucan synthases. In this work, we manipulated metabolite concentrations in the hyaluronan pathway by overexpressing the five genes of the hyaluronan synthesis operon in Streptococcus equi subsp. zooepidemicus. Overexpression of genes involved in UDP-glucuronic acid biosynthesis decreased molecular weight, whereas overexpression of genes involved in UDP-N-acetylglucosamine biosynthesis increased molecular weight. The highest molecular mass observed was at 3.4 ؎ 0.1 MDa twice that observed in the wild-type strain, 1.8 ؎ 0.1 MDa. The data indicate that (a) high molecular weight is achieved when an appropriate balance of UDP-N-acetylglucosamine and UDP-glucuronic acid is achieved, (b) UDP-N-acetylglucosamine exerts the dominant effect on molecular weight, and (c) the wild-type strain has suboptimal levels of UDP-Nacetylglucosamine. Consistent herewith molecular weight correlated strongly ( ‫؍‬ 0.84, p ‫؍‬ 3 ؋ 10 ؊5 ) with the concentration of UDP-N-acetylglucosamine. Data presented in this paper represent the first model for hyaluronan molecular weight control based on the concentration of activated sugar precursors. These results can be used to engineer strains producing high molecular weight hyaluronan and may provide insight into similar polymerization mechanisms in other polysaccharides.

The biosynthetic pathway responsible for the production of hyaluronic acid (HA) has been thoroughly studied; however, many aspects remain elusive regarding the mechanisms that control molecular weight (MW). Previously, we demonstrated a positive correlation between MW and the concentration of the HA precursor sugar UDP-N acetylglucosamine (UDP-GlcNAc). To further investigate the role of UDP-GlcNAc in MW control, we increased the intracellular concentration of this monomer using both feeding strategies and genetic engineering approaches. Feeding cells glucosamine dramatically increased intracellular levels of UDP-GlcNAc, but unexpectedly, produced HA of a lower MW. This was subsequently attributed to an equally dramatic decrease in the level of the other HA precursor sugar UDP-glucuronic acid (UDP-GlcUA). Feeding cells a mixture of glucose and GlcNAc addressed this imbalance of precursor sugars, leading to an increase in both UDP-GlcNAc and UDP-GlcUA; however, no significant increase in MW was observed. Despite the increase in UDP-sugars, RNA sequencing identified no increase in the expression of the genes involved in production of HA. Returning to genetic engineering approaches to examine UDP-GlcNAc and MW, genes known to contribute to the production of UDP-GlcNAc were over-expressed, both individually and together. Using this approach, UDP-GlcNAc and MW increased. At lower levels of UDP-GlcNAc, the positive correlation between UDP-GlcNAc levels and MW was maintained, however this relationship stalled at higher concentrations of UDP-GlcNAc. Taken together, these results suggest that while optimising HA precursor levels using feeding or genetic engineering approaches can improve HA MW, there is a point at which excess availability of precursors is no longer advantageous. Once precursor concentrations are addressed, it would seem that other uncharacterised factor(s) (e.g. rate of HA synthesis) also contribute to HA MW control.