Presentation Information
[1AFOB-13]Deciphering Genetic and Metabolic Traits of Stenotrophomonas pavanii InaCC B73 as Novel Chassis for Biodegradable Polyester Production
○Radityo Pangestu1, Puspita Lisdiyanti1 (1. National Research & Innovation Agency (BRIN) (Indonesia))
Keywords:
Polyhydroxyalkanoates (PHA),Biodegradable polyesters,Stenotrophomonas pavanii,Genome mining
Escalating pressure on fossil-derived resources, together with geopolitical instability affecting global supply chains, has intensified the search for plastics derived from non-petrochemical feedstocks. Polyhydroxyalkanoates (PHAs) are promising biodegradable polyesters synthesized intracellularly by microorganisms under near-ambient conditions, reducing reliance on energy-intensive processing and metal-based catalysis. Beyond replacing conventional plastics, industrial applications require materials with diverse mechanical, thermal, and degradation properties. In biological systems, these properties are governed by monomer composition, which reflects the genetic and metabolic traits of the producing organism. Expanding microbial diversity therefore enables access to new metabolic configurations capable of generating polyesters with tunable properties.
In a prior screening of locally sourced isolates, strain InaCC B73 exhibited the highest intracellular PHA accumulation, motivating further investigation. This study examines how its genomic and metabolic features influence PHA composition. Cultivation on glucose, sodium lactate, and glycerol, representing distinct metabolic entry points, produced PHAs with varying monomer compositions. These results indicate that carbon flux can be redistributed toward different precursor pools depending on the substrate, highlighting its capacity to modulate polyester structure through simple changes in cultivation conditions.
Whole-genome sequencing identified the isolate as Stenotrophomonas pavanii, a species not previously harnessed for microbial polyester synthesis and distinct from established PHA producers such as Cupriavidus necator, Bacillus megaterium, and Pseudomonas putida. This suggests the potential to uncover previously uncharacterized metabolic dynamics contributing to alternative biosynthetic routes. Genome analysis revealed core and putative genes for PHA biosynthesis, along with auxiliary pathways linked to glycerol assimilation and organic acid metabolism. These pathways form an integrated network that channels carbon into hydroxyacyl-CoA intermediates, explaining the observed variation in polymer composition. Multiple protospacer adjacent motif (PAM) sequences were also identified, indicating strong potential for CRISPR-based genome editing and flexible targeting of carbon partitioning pathways.
Taken together, these findings establish S. pavanii InaCC B73 as a promising chassis for biodegradable polyester production. Integration of genomic and metabolic insights supports a more predictive approach to designing biopolymers with application-specific properties. Future work will focus on functional validation and targeted genome editing to refine carbon flux distribution, advancing the development of sustainable polyester synthesis systems.
In a prior screening of locally sourced isolates, strain InaCC B73 exhibited the highest intracellular PHA accumulation, motivating further investigation. This study examines how its genomic and metabolic features influence PHA composition. Cultivation on glucose, sodium lactate, and glycerol, representing distinct metabolic entry points, produced PHAs with varying monomer compositions. These results indicate that carbon flux can be redistributed toward different precursor pools depending on the substrate, highlighting its capacity to modulate polyester structure through simple changes in cultivation conditions.
Whole-genome sequencing identified the isolate as Stenotrophomonas pavanii, a species not previously harnessed for microbial polyester synthesis and distinct from established PHA producers such as Cupriavidus necator, Bacillus megaterium, and Pseudomonas putida. This suggests the potential to uncover previously uncharacterized metabolic dynamics contributing to alternative biosynthetic routes. Genome analysis revealed core and putative genes for PHA biosynthesis, along with auxiliary pathways linked to glycerol assimilation and organic acid metabolism. These pathways form an integrated network that channels carbon into hydroxyacyl-CoA intermediates, explaining the observed variation in polymer composition. Multiple protospacer adjacent motif (PAM) sequences were also identified, indicating strong potential for CRISPR-based genome editing and flexible targeting of carbon partitioning pathways.
Taken together, these findings establish S. pavanii InaCC B73 as a promising chassis for biodegradable polyester production. Integration of genomic and metabolic insights supports a more predictive approach to designing biopolymers with application-specific properties. Future work will focus on functional validation and targeted genome editing to refine carbon flux distribution, advancing the development of sustainable polyester synthesis systems.
Comment
To browse or post comments, you must log in.Log in