Habitat-Specific Clock Variation and Its Consequence on Reproductive Fitness.


Journal

Journal of biological rhythms
ISSN: 1552-4531
Titre abrégé: J Biol Rhythms
Pays: United States
ID NLM: 8700115

Informations de publication

Date de publication:
04 2020
Historique:
pubmed: 28 12 2019
medline: 29 5 2021
entrez: 28 12 2019
Statut: ppublish

Résumé

The circadian clock controls daily activities at the cellular and organismic level, allowing an organism to anticipate incoming stresses and to use resources accordingly. The circadian clock has therefore been considered a fitness trait in multiple organisms. However, the mechanism of how circadian clock variation influences organismal reproductive fitness is still not well understood. Here we describe habitat-specific clock variation (HSCV) of asexual reproduction in

Identifiants

pubmed: 31878828
doi: 10.1177/0748730419896486
pmc: PMC7384873
mid: NIHMS1604683
doi:

Substances chimiques

CLOCK Proteins EC 2.3.1.48

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

134-144

Subventions

Organisme : NIGMS NIH HHS
ID : R15 GM117523
Pays : United States

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Auteurs

Bala S C Koritala (BSC)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.
Center for Computational & Integrative Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Craig Wager (C)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Joshua C Waters (JC)

Center for Computational & Integrative Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Ryan Pachucki (R)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Benedetto Piccoli (B)

Center for Computational & Integrative Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.
Department of Mathematics, Rutgers, The State University of New Jersey, Camden, New Jersey.

Yaping Feng (Y)

Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey.

Laura B Scheinfeldt (LB)

Coriell Institute for Medical Research, Camden, New Jersey.

Sunil M Shende (SM)

Center for Computational & Integrative Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.
Department of Computer Science, Rutgers, The State University of New Jersey, Camden, New Jersey.

Sohyun Park (S)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

James I Hozier (JI)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Parth Lalakia (P)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

Dibyendu Kumar (D)

Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey.

Kwangwon Lee (K)

Department of Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.
Center for Computational & Integrative Biology, Rutgers, The State University of New Jersey, Camden, New Jersey.

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Classifications MeSH