Filling gaps in bacterial catabolic pathways with computation and high-throughput genetics.
To discover novel catabolic enzymes and transporters, we combined high-throughput genetic data from 29 bacteria with an automated tool to find gaps in their catabolic pathways. GapMind for carbon sources automatically annotates the uptake and catabolism of 62 compounds in bacterial and archaeal geno...
Main Authors: | Morgan N Price, Adam M Deutschbauer, Adam P Arkin |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-04-01
|
Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1010156 |
Similar Items
-
Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data
by: David B Bernstein, et al.
Published: (2023-12-01) -
Enzymology of Alternative Carbohydrate Catabolic Pathways
by: Dominik Kopp, et al.
Published: (2020-10-01) -
The kynurenine pathway of tryptophan catabolism and schizophrenia
by: Marković Miloš, et al.
Published: (2023-01-01) -
Bridging the gap between high-throughput genetic and transcriptional data reveals cellular pathways responding to alpha-synuclein toxicity
by: Yeger-Lotem, Esti, et al.
Published: (2010) -
Large-scale genetic characterization of the model sulfate-reducing bacterium, Desulfovibrio vulgaris Hildenborough
by: Valentine V. Trotter, et al.
Published: (2023-03-01)