Adam M. Guss

This paper introduces cSAGE, a conjugation-based genome engineering platform that enables site-specific integration in transformation-resistant bacteria, demonstrating its utility in bioproduction pathway prototyping.

This study compares two arabinose utilization pathways in Pseudomonas putida to optimize muconic acid production from lignocellulosic sugars, finding a tradeoff between growth rate and yield.

This study evolves a microbial strain under dynamic conditions to optimize sugar catabolism, finding that mixed-sugar environments promote stable retention and coordinated optimization of multiple pathways.

This paper engineers Clostridium thermocellum to produce 2,3-butanediol from cellulose, achieving a titer of 19.7 mM with a metabolic yield of 24%.

This paper redefines the role of PhaG and CoA ligases in PHA biosynthesis in Pseudomonas putida and demonstrates engineered production of 3-hydroxyacids.

This paper identifies novel antibiotic resistance markers functional in thermophilic bacteria, with rbpA providing the highest selection range for genetic engineering.

The paper introduces mSAGE, a method for multiplexed DNA insertion in Pseudomonas putida, and uses it to construct a combinatorial gene library for isophthalate degradation.

The paper demonstrates that RNA thermometers can reduce Cas9-induced cell death by controlling its expression through temperature-dependent regulation.

The paper introduces MIJAMP, a software tool to identify methylated DNA motifs from nanopore sequencing data, validated using genome-wide methylation data.

This study improves gene expression and transformation efficiency in Picosynechococcus sp. PCC 7002 by optimizing protocols and identifying a better integration site.

The paper develops a system for rapid, site-specific integration of multiple DNA constructs into the E. coli chromosome using recombinases, demonstrating its utility by inserting DNA methyltransferases to enable transformation of Clostridium clariflavum.

This study uses machine learning to uncover the genome-scale transcriptional regulatory network in Pseudomonas putida using gene expression data.

The paper develops a biosensor to regulate a conditionally beneficial catabolic pathway, improving microbial bioproduction of cis,cis-muconic acid from xylose.

The paper introduces SAGE, a genome engineering system for bacteria that enables efficient, iterative integration of DNA constructs without requiring selection.

The paper engineers Escherichia coli to catabolize lignin monomers via a heterologous pathway, achieving improved growth and extending the pathway to a second compound.