The biology of thermoacidophilic archaea from the order Sulfolobales.
April M LewisAlejandra RecaldeChristopher BräsenJames A CountsPhillip NussbaumJan BostLarissa SchockeLu ShenDaniel J WillardTessa E F QuaxEveline PeetersBettina SiebersSonja-Verena AlbersRobert M KellyPublished in: FEMS microbiology reviews (2022)
Thermoacidophilic archaea belonging to the order Sulfolobales thrive in extreme biotopes, such as sulfuric hot springs and ore deposits. These microorganisms have been model systems for understanding life in extreme environments, as well as for probing the evolution of both molecular genetic processes and central metabolic pathways. Thermoacidophiles, such as the Sulfolobales, use typical microbial responses to persist in hot acid (e.g. motility, stress response, biofilm formation), albeit with some unusual twists. They also exhibit unique physiological features, including iron and sulfur chemolithoautotrophy, that differentiate them from much of the microbial world. Although first discovered >50 years ago, it was not until recently that genome sequence data and facile genetic tools have been developed for species in the Sulfolobales. These advances have not only opened up ways to further probe novel features of these microbes but also paved the way for their potential biotechnological applications. Discussed here are the nuances of the thermoacidophilic lifestyle of the Sulfolobales, including their evolutionary placement, cell biology, survival strategies, genetic tools, metabolic processes and physiological attributes together with how these characteristics make thermoacidophiles ideal platforms for specialized industrial processes.
Keyphrases
- biofilm formation
- genome wide
- pseudomonas aeruginosa
- staphylococcus aureus
- candida albicans
- microbial community
- escherichia coli
- copy number
- dna methylation
- climate change
- metabolic syndrome
- cardiovascular disease
- stem cells
- single cell
- palliative care
- physical activity
- wastewater treatment
- weight loss
- molecular dynamics simulations
- cell therapy
- type diabetes
- big data
- cystic fibrosis
- bone marrow
- genetic diversity
- visible light