Informace o publikaci

Cultivation driven transcriptomic changes in the wild-type and mutant strains of Rhodospirillum rubrum

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JURECKOVA Katerina NYKRYNOVA Marketa SLANINOVA Eva FLEURIOT-BLITMAN Hugo AMSTUTZ Veronique HERMANKOVA Kristyna BEZDÍČEK Matěj MRAZOVA Katerina HRUBANOVA Kamila ZINN Manfred OBRUCA Stanislav SEDLAR Karel

Rok publikování 2024
Druh Článek v odborném periodiku
Časopis / Zdroj Computational and Structural Biotechnology Journal
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://www.sciencedirect.com/science/article/pii/S2001037024002204?via%3Dihub
Doi http://dx.doi.org/10.1016/j.csbj.2024.06.023
Klíčová slova Rhodospirillum rubrum; RNA-Seq; Transcriptome; Genome; Depolymerase knock-out; Gene ontology; Metabolism; Fructose; Acetate; Polyhydroxyalkanoates
Popis Purple photosynthetic bacteria (PPB) are versatile microorganisms capable of producing various value-added chemicals, e.g., biopolymers and biofuels. They employ diverse metabolic pathways, allowing them to adapt to various growth conditions and even extreme environments. Thus, they are ideal organisms for the Next Generation Industrial Biotechnology concept of reducing the risk of contamination by using naturally robust extremophiles. Unfortunately, the potential of PPB for use in biotechnology is hampered by missing knowledge on regulations of their metabolism. Although Rhodospirillum rubrum represents a model purple bacterium studied for polyhydroxyalkanoate and hydrogen production, light/chemical energy conversion, and nitrogen fixation, little is known regarding the regulation of its metabolism at the transcriptomic level. Using RNA sequencing, we compared gene expression during the cultivation utilizing fructose and acetate as substrates in case of the wildtype strain R. rubrum DSM 467T and its knock-out mutant strain that is missing two polyhydroxyalkanoate synthases PhaC1 and PhaC2. During this first genome-wide expression study of R. rubrum, we were able to characterize cultivation-driven transcriptomic changes and to annotate non-coding elements as small RNAs.

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