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Articles by Maria Suarez-Diez
Synthetic Microbial Cocultivation for Targeted Production of Odd-Chain Carboxylates and Alcohols from Carbon Monoxide
Introduction Click to copy section linkSection link copied! The pressing need to reduce fossil fuel dependency and mitigate greenhouse gas emissions has driven interest in the production of biochemicals from one-carbon (C1) feedstocks. (1) Syngas is a highly versatile C1 feedstock consisting mainly of CO, H2 and CO2 that is typically derived from the gasification of lignocellulosic or other organic residues, and can be converted into valuable biochemicals via microbial fermentation.
QPix 420 Microbial Colony Picker from Molecular Devices LLC
Get Pricing from Molecular Devices LLC for QPix 420 Microbial Colony Picker Supplier Page Description The QPix® 420 Microbial Colony Picker accelerates breakthrough discoveries by automating high-precision colony selection, increasing throughout, and ensuring data integrity for microbial screening workflows. Accelerate Research with High-Throughput Automation: Reduces manual labor and speeds up colony selection, enabling researchers to process more samples in less time.
Predicting uptake and elimination kinetics of chemicals in invertebrates: a technical note on residual variance modeling
Abstract Toxicokinetic models for predicting contents of nanomaterials and other toxic chemicals are often fitted without evaluation of the residual variance structure. The aim of the present study was to evaluate various residual variance structures, assuming either homoscedasticity or heteroscedasticity, when fitting non-linear toxicokinetic one-compartment models for predicting uptake, bioaccumulation and elimination of chemicals in invertebrate organisms.
Model-driven engineering of Yarrowia lipolytica for improved microbial oil production
Abstract Extensive usage of plant-based oils, especially palm oil, has led to environmental and social issues, such as deforestation and loss of biodiversity, thus sustainable alternatives are required. Microbial oils, especially from Yarrowia lipolytica, offer a promising solution due to their similar composition to palm oil, low carbon footprint, and ability to utilize low-cost substrates. In this study, we employed the Design-Build-Test-Learn (DBTL) approach to enhance lipid production in Y.
Combinatorial engineering reveals shikimate pathway bottlenecks in para-aminobenzoic acid production in Pseudomonas putida
Abstract Combinatorial approaches in metabolic engineering enable the optimization of multigene pathways, thereby improving product titers. However, the optimization of complex metabolic pathways is hindered by their multiple interactions. Testing all possible combinations of suitable genetic parts is often prevented by the large number of possible variants.
Combinatorial optimization of pathway, process and media for the production of p‐coumaric acid by Saccharomyces cerevisiae
INTRODUCTION Microbial cell factories play a pivotal role in driving the transition towards a bio-based economy, being a sustainable alternative to traditional chemical processes (Kim et al., 2023). Microorganisms can efficiently transform raw materials into valuable products. However, to unlock their potential for biotransformation in an economically feasible manner, it is essential to optimize production pathways and bioprocesses (de Lorenzo & Couto, 2019).
Improved genome sequence and annotation of Cutaneotrichosporon oleaginosus ATCC 20509
Abstract Cutaneotrichosporon oleaginosus is an oleaginous yeast with a high content of fatty acids and can accumulate more than 40% of its weight in lipids. It can grow on a wide range of carbon sources and side streams such as crude glycerol. The genome sequence of C. oleaginosus ATCC 20509 is reported here to contribute to its development as a biotechnological platform for producing microbial oils. Competing Interest Statement The authors have declared no competing interest.
Combinatorial optimization of pathway, process and media for the production of p-coumaric acid by Saccharomyces cerevisiae
Abstract Microbial cell factories are instrumental in transitioning towards a sustainable bio-based economy, offering alternatives to conventional chemical processes. However, fulfilling their potential requires simultaneous screening for optimal media composition, process and genetic factors, acknowledging the complex interplay between the organism's genotype and its environment.
CFSA: Comparative Flux Sampling Analysis as a guide for strain design
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Model-driven design allows growth of Mycoplasma pneumoniae on serum-free media
Abstract Mycoplasma pneumoniae is a slow-growing, human pathogen that causes atypical pneumonia. Because it lacks a cell wall, many antibiotics are ineffective. Due to its reduced genome and dearth of many biosynthetic pathways, this fastidious bacterium depends on rich, undefined medium for growth, which makes large-scale cultivation challenging and expensive. To understand factors limiting growth, we developed a genome-scale, constraint-based model of M.
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