Bibliographic Details
| Title: |
Genes essential for phototrophic growth by a purple alphaproteobacterium. |
| Authors: |
Yang, Jianming1,2, Yin, Liang2, Lessner, Faith H.3, Nakayasu, Ernesto S.4, Payne, Samuel H.4, Fixen, Kathryn R.2, Gallagher, Larry5, Harwood, Caroline S.2 csh5@uw.edu |
| Source: |
Environmental Microbiology. Sep2017, Vol. 19 Issue 9, p3567-3578. 12p. |
| Subjects: |
Rhodopseudomonas palustris, Phototropism, NAD (Coenzyme), Genes, Electron transport, Bacteria |
| Abstract: |
Tn-seq was used to identify genes essential for phototrophic growth by the purple bacterium Rhodopseudomonas palustris. About 167 genes required for anaerobic growth on acetate in light were identified, 35 of which are annotated as photosynthesis genes. The essentiality of many of these genes by analysing the phenotypes of independently generated mutants that had altered pigmentation was verified. Three genes were identified, two possibly involved in biogenesis of the membrane-bound photosynthetic apparatus and one for phosphatidylcholine biosynthesis, that were not known to be essential for phototrophic growth. Site-directed mutagenesis was used to show that the NADH:quinone oxidoreductase complex IE was essential for phototrophic growth under strictly anaerobic conditions and appeared to play a role in reverse electron transport to generate NADH. A homologous NADH:quinone oxidoreductase complex IA likely operates in the opposite direction to oxidize NADH. The operation of the two enzymes in opposition would allow R. palustris to maintain redox balance. As a complement to the genetic data, proteomics experiments were carried out in which it was found that 408 proteins were present in significantly higher amounts in cells grown anaerobically in light compared with aerobically. Among these were proteins encoded by subset of the phototrophic growth-essential genes. [ABSTRACT FROM AUTHOR] |
|
Copyright of Environmental Microbiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |