A Possible Connection Between Plant Longevity and the Absence of Protein Fibrillation: Basis for Identifying Aggregation Inhibitors in Plants.

aggregate toxicity beta amyloid inhibitors of aggregation plant extracts plant longevity protein aggregation α-synuclein

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2019
Historique:
received: 18 10 2018
accepted: 28 01 2019
entrez: 1 3 2019
pubmed: 1 3 2019
medline: 1 3 2019
Statut: epublish

Résumé

The ability of proteins to aggregate to form well-organized β-sheet rich amyloid fibrils is increasingly viewed as a general if regrettable property of the polypeptide chain. Aggregation leads to diseases such as amyloidosis and neurodegeneration in humans and various mammalian species but is also found in a functional variety in both animals and microbes. However, there are to our knowledge no reports of amyloid formation in plants. Plants are also the source of a large number of aggregation-inhibiting compounds. We reasoned that the two phenomena could be connected and that one of (many) preconditions for plant longevity is the ability to suppress unwanted protein aggregation. In support of this, we show that while protein extracts from the sugar maple tree

Identifiants

pubmed: 30815009
doi: 10.3389/fpls.2019.00148
pmc: PMC6381023
doi:

Types de publication

Journal Article

Langues

eng

Pagination

148

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Auteurs

Hossein Mohammad-Beigi (H)

Interdisciplinary Nanoscience Centre (iNANO), Aarhus University, Aarhus, Denmark.

Lars Kjaer (L)

Interdisciplinary Nanoscience Centre (iNANO), Aarhus University, Aarhus, Denmark.

Hoda Eskandari (H)

Interdisciplinary Nanoscience Centre (iNANO), Aarhus University, Aarhus, Denmark.

Farhang Aliakbari (F)

Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.

Gunna Christiansen (G)

Department of Biomedicine-Medical Microbiology and Immunology, Aarhus University, Aarhus, Denmark.

Gianluca Ruvo (G)

Computational and Analytical Sciences Department, Rothamsted Research, Harpenden, United Kingdom.

Jane L Ward (JL)

Computational and Analytical Sciences Department, Rothamsted Research, Harpenden, United Kingdom.

Daniel Erik Otzen (DE)

Interdisciplinary Nanoscience Centre (iNANO), Aarhus University, Aarhus, Denmark.
Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.

Classifications MeSH