Back to Search
Start Over
Evolutionary trajectory of transcription factors and selection of targets for metabolic engineering.
- Source :
-
Philosophical transactions of the Royal Society of London. Series B, Biological sciences [Philos Trans R Soc Lond B Biol Sci] 2024 Nov 18; Vol. 379 (1914), pp. 20230367. Date of Electronic Publication: 2024 Sep 30. - Publication Year :
- 2024
-
Abstract
- Transcription factors (TFs) provide potentially powerful tools for plant metabolic engineering as they often control multiple genes in a metabolic pathway. However, selecting the best TF for a particular pathway has been challenging, and the selection often relies significantly on phylogenetic relationships. Here, we offer examples where evolutionary relationships have facilitated the selection of the suitable TFs, alongside situations where such relationships are misleading from the perspective of metabolic engineering. We argue that the evolutionary trajectory of a particular TF might be a better indicator than protein sequence homology alone in helping decide the best targets for plant metabolic engineering efforts. This article is part of the theme issue 'The evolution of plant metabolism'.
Details
- Language :
- English
- ISSN :
- 1471-2970
- Volume :
- 379
- Issue :
- 1914
- Database :
- MEDLINE
- Journal :
- Philosophical transactions of the Royal Society of London. Series B, Biological sciences
- Publication Type :
- Academic Journal
- Accession number :
- 39343015
- Full Text :
- https://doi.org/10.1098/rstb.2023.0367