12 research outputs found
Field-based detection of bacteria using nanopore sequencing: Method evaluation for biothreat detection in complex samples
No full textComparison of identification of species from the pure DNA extracts 1 hour and 24 hours following the start of sequencing, performed by Group 2.
No full textComparison of identification of species from the pure DNA extracts 1 hour and 24 hours following the start of sequencing, performed by Group 2.</p
Workflow depicting analytic strategy used for this analysis.
No full textWorkflow depicting analytic strategy used for this analysis.</p
Comparison of computational resources used by each of the participating partners for data capture and analysis.
No full textComparison of computational resources used by each of the participating partners for data capture and analysis.</p
Mixed unknown samples used in the comparative community analysis.
No full textMixed unknown samples used in the comparative community analysis.</p
Relative abundance of different species detected in each of the pools by each of the groups following 24 hours of sequencing.
No full textGroup 2 performed the analysis using both the Rapid (SQK-RBK004—RAP) and Rapid PCR (SQK-RPB004—PCR) barcoding sequencing kits, on separate flowcells. The log10 number of reads detected in each of the samples is described along the right axis. The Rapid PCR sequencing conducted by Group 2 produced so many reads, it was stopped after 8 hours of sequencing.</p
Dinitro-o-cresol induces apoptosis-like cell death but not alternative oxidase expression in soybean cells
No full textMolecular Evolution of Alternative Oxidase Proteins: A Phylogenetic and Structure Modeling Approach
No full textStress-induced co-expression of alternative respiratory chain components in Arabidopsis thaliana
No full textMitochondrial Biogenesis and Function in Arabidopsis†
No full textMitochondria represent the powerhouse of cells through their synthesis of ATP. However, understanding the role of mitochondria in the growth and development of plants will rely on a much deeper appreciation of the complexity of this organelle. Arabidopsis research has provided clear identification of mitochondrial components, allowed wide-scale analysis of gene expression, and has aided reverse genetic manipulation to test the impact of mitochondrial component loss on plant function. Forward genetics in Arabidopsis has identified mitochondrial involvement in mutations with notable impacts on plant metabolism, growth and development. Here we consider the evidence for components involved in mitochondria biogenesis, metabolism and signalling to the nucleus
