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The circadian clock and darkness control natural competence in cyanobacteria.
Taton, Arnaud; Erikson, Christian; Yang, Yiling; Rubin, Benjamin E; Rifkin, Scott A; Golden, James W; Golden, Susan S.
Afiliação
  • Taton A; Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Erikson C; Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Yang Y; Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, USA.
  • Rubin BE; Center for Circadian Biology, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Rifkin SA; Institute of Hydrobiology, the Chinese Academy of Sciences, Wuchang District, Wuhan, Hubei Province, China.
  • Golden JW; Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Golden SS; Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, USA.
Nat Commun ; 11(1): 1688, 2020 04 03.
Article em En | MEDLINE | ID: mdl-32245943
ABSTRACT
The cyanobacterium Synechococcus elongatus is a model organism for the study of circadian rhythms. It is naturally competent for transformation-that is, it takes up DNA from the environment, but the underlying mechanisms are unclear. Here, we use a genome-wide screen to identify genes required for natural transformation in S. elongatus, including genes encoding a conserved Type IV pilus, genes known to be associated with competence in other bacteria, and others. Pilus biogenesis occurs daily in the morning, while natural transformation is maximal when the onset of darkness coincides with the dusk circadian peak. Thus, the competence state in cyanobacteria is regulated by the circadian clock and can adapt to seasonal changes of day length.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article