Abstract：
:Here, we propose an approach to identify active metabolic pathways by integrating gene essentiality analysis and protein abundance. We use two bacterial species (Mycoplasma pneumoniae and Mycoplasma agalactiae) that share a high gene content similarity yet show significant metabolic differences. First, we build detailed metabolic maps of their carbon metabolism, the most striking difference being the absence of two key enzymes for glucose metabolism in M. agalactiae. We then determine carbon sources that allow growth in M. agalactiae, and we introduce glucose-dependent growth to show the functionality of its remaining glycolytic enzymes. By analyzing gene essentiality and performing quantitative proteomics, we can predict the active metabolic pathways connected to carbon metabolism and show significant differences in use and direction of key pathways despite sharing the large majority of genes. Gene essentiality combined with quantitative proteomics and metabolic maps can be used to determine activity and directionality of metabolic pathways.
journal_name
Cell Repjournal_title
Cell reportsauthors
Montero-Blay A,Piñero-Lambea C,Miravet-Verde S,Lluch-Senar M,Serrano Ldoi
10.1016/j.celrep.2020.107722subject
Has Abstractpub_date
2020-06-02 00:00:00pages
107722issue
9issn
2211-1247pii
S2211-1247(20)30699-9journal_volume
31pub_type
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