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Biology subjects

Fox, B. G.

Publications and source records attributed to Fox, B. G..

2 recordsLinked to original sources

Patterns of Microbial Succession and Niche Differentiation Across Depth and Age in a Landfill Have Implications for Management Strategies

Despite microorganisms being primarily responsible for landfill material decomposition, limited characterization has been performed across both landfill depth and age. Here, we investigated the microbial communities and physicochemical parameters in two active and two closed landfill wells from surface to bottom, as well as fill dirt and leachate at a sanitary landfill near Madison, Wisconsin, USA. Amplicon community sequencing fungi, bacteria and archaea revealed distinct microbial community structures across landfill sites. The observed patterns of microbial community succession by depth and age mirror the known phases of the landfill life cycle. Younger surface samples were dominated by aerobic fungi, which transitioned to fermentative bacteria and methanogenic archaea in older, deeper, layers. Simultaneously, high species richness was preserved across landfill ages, while reduced evenness at specific depths support spatial niche differentiation. In conjunction with the lack of trends found for physicochemical parameters by depth, this supports niche differentiation driven by the highly heterogenous waste inputs. This study provides the first comprehensive vertical profile of bacterial, fungal, and archaeal communities across landfill depths and ages, highlighting the influence of these parameters on physicochemical factors and microbial distribution within landfills. These results have implications for improving landfill management, including renewable gas energy production, minimizing emissions, and increasing degradation rates.

microbiology↗

Highly multiplexed design of an allosteric transcription factor to sense novel ligands

Allosteric transcription factors (aTF), widely used as biosensors, have proven challenging to design for detecting novel molecules because mutation of ligand-binding residues often disrupts allostery. We developed Sensor-seq, a high-throughput platform to design and identify aTF biosensors that bind to non-native ligands. We screened a library of 17,737 variants of the aTF TtgR, a regulator of a multidrug exporter, against six non-native ligands of diverse chemical structures - four derivatives of the cancer therapeutic tamoxifen, the antimalarial drug quinine, and the opiate analog naltrexone - as well as two native flavonoid ligands, naringenin and phloretin. Sensor-seq identified novel biosensors for each of these ligands with high dynamic range and diverse specificity profiles. The structure of a naltrexone-bound design showed shape-complementary methionine-aromatic interactions driving ligand specificity. To demonstrate practical utility, we developed cell-free detection systems for naltrexone and quinine. Sensor-seq enables rapid, scalable design of new biosensors, overcoming constraints of natural biosensors.

synthetic biology↗