Bioreactor operation shows haloplasticity of a synthetic nitrifying community, enabling urine treatment in space

Additional file 4: Figure S2. Detection of aabgl1 copy numbers in the transformants by qPCR analysis. Tef1Îą gene was used as a single copy control

MOESM3 of Optimization of cellulolytic enzyme components through engineering Trichoderma reesei and on-site fermentation using the soluble inducer for cellulosic ethanol production from corn stover

Additional file 3: Figure S1. Construction of the aabgl1 overexpression T. reesei strains. A: Map of aabgl1 expression vector pCBHYGB-PB; B: Comparison of β-glucosidase production of the recombinant transformants and the host strain T. reesei Rut-C30; C: Detection of aabgl1 copy numbers in the transformants by qPCR analysis. Tef1ι gene was used as a single copy control

MOESM2 of Optimization of cellulolytic enzyme components through engineering Trichoderma reesei and on-site fermentation using the soluble inducer for cellulosic ethanol production from corn stover

Additional file 2: Table S2. Identified secreted proteins induced by MGD and CS

MOESM4 of Optimization of cellulolytic enzyme components through engineering Trichoderma reesei and on-site fermentation using the soluble inducer for cellulosic ethanol production from corn stover

Additional file 4: Figure S2. Detection of aabgl1 copy numbers in the transformants by qPCR analysis. Tef1Îą gene was used as a single copy control

MACRO: A Combined Microchip-PCR and Microarray System for High-Throughput Monitoring of Genetically Modified Organisms

The monitoring of genetically modified organisms (GMOs) is a primary step of GMO regulation. However, there is presently a lack of effective and high-throughput methodologies for specifically and sensitively monitoring most of the commercialized GMOs. Herein, we developed a multiplex amplification on a chip with readout on an oligo microarray (MACRO) system specifically for convenient GMO monitoring. This system is composed of a microchip for multiplex amplification and an oligo microarray for the readout of multiple amplicons, containing a total of 91 targets (18 universal elements, 20 exogenous genes, 45 events, and 8 endogenous reference genes) that covers 97.1% of all GM events that have been commercialized up to 2012. We demonstrate that the specificity of MACRO is ∼100%, with a limit of detection (LOD) that is suitable for real-world applications. Moreover, the results obtained of simulated complex samples and blind samples with MACRO were 100% consistent with expectations and the results of independently performed real-time PCRs, respectively. Thus, we believe MACRO is the first system that can be applied for effectively monitoring the majority of the commercialized GMOs in a single test