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Predicting Amyloidogenic Proteins in the Proteomes of Plants

Amyloids are protein fibrils with characteristic spatial structure. Though amyloids were long perceived to be pathogens that cause dozens of incurable pathologies in humans and mammals, it is currently clear that amyloids also represent a functionally important form of protein structure implicated i...

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Autores principales: Antonets, Kirill S., Nizhnikov, Anton A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666836/
https://www.ncbi.nlm.nih.gov/pubmed/29035294
http://dx.doi.org/10.3390/ijms18102155
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author Antonets, Kirill S.
Nizhnikov, Anton A.
author_facet Antonets, Kirill S.
Nizhnikov, Anton A.
author_sort Antonets, Kirill S.
collection PubMed
description Amyloids are protein fibrils with characteristic spatial structure. Though amyloids were long perceived to be pathogens that cause dozens of incurable pathologies in humans and mammals, it is currently clear that amyloids also represent a functionally important form of protein structure implicated in a variety of biological processes in organisms ranging from archaea and bacteria to fungi and animals. Despite their social significance, plants remain the most poorly studied group of organisms in the field of amyloid biology. To date, amyloid properties have only been demonstrated in vitro or in heterologous systems for a small number of plant proteins. Here, for the first time, we performed a comprehensive analysis of the distribution of potentially amyloidogenic proteins in the proteomes of approximately 70 species of land plants using the Waltz and SARP (Sequence Analysis based on the Ranking of Probabilities) bioinformatic algorithms. We analyzed more than 2.9 million protein sequences and found that potentially amyloidogenic proteins are abundant in plant proteomes. We found that such proteins are overrepresented among membrane as well as DNA- and RNA-binding proteins of plants. Moreover, seed storage and defense proteins of most plant species are rich in amyloidogenic regions. Taken together, our data demonstrate the diversity of potentially amyloidogenic proteins in plant proteomes and suggest biological processes where formation of amyloids might be functionally important.
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spelling pubmed-56668362017-11-09 Predicting Amyloidogenic Proteins in the Proteomes of Plants Antonets, Kirill S. Nizhnikov, Anton A. Int J Mol Sci Article Amyloids are protein fibrils with characteristic spatial structure. Though amyloids were long perceived to be pathogens that cause dozens of incurable pathologies in humans and mammals, it is currently clear that amyloids also represent a functionally important form of protein structure implicated in a variety of biological processes in organisms ranging from archaea and bacteria to fungi and animals. Despite their social significance, plants remain the most poorly studied group of organisms in the field of amyloid biology. To date, amyloid properties have only been demonstrated in vitro or in heterologous systems for a small number of plant proteins. Here, for the first time, we performed a comprehensive analysis of the distribution of potentially amyloidogenic proteins in the proteomes of approximately 70 species of land plants using the Waltz and SARP (Sequence Analysis based on the Ranking of Probabilities) bioinformatic algorithms. We analyzed more than 2.9 million protein sequences and found that potentially amyloidogenic proteins are abundant in plant proteomes. We found that such proteins are overrepresented among membrane as well as DNA- and RNA-binding proteins of plants. Moreover, seed storage and defense proteins of most plant species are rich in amyloidogenic regions. Taken together, our data demonstrate the diversity of potentially amyloidogenic proteins in plant proteomes and suggest biological processes where formation of amyloids might be functionally important. MDPI 2017-10-16 /pmc/articles/PMC5666836/ /pubmed/29035294 http://dx.doi.org/10.3390/ijms18102155 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Antonets, Kirill S.
Nizhnikov, Anton A.
Predicting Amyloidogenic Proteins in the Proteomes of Plants
title Predicting Amyloidogenic Proteins in the Proteomes of Plants
title_full Predicting Amyloidogenic Proteins in the Proteomes of Plants
title_fullStr Predicting Amyloidogenic Proteins in the Proteomes of Plants
title_full_unstemmed Predicting Amyloidogenic Proteins in the Proteomes of Plants
title_short Predicting Amyloidogenic Proteins in the Proteomes of Plants
title_sort predicting amyloidogenic proteins in the proteomes of plants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666836/
https://www.ncbi.nlm.nih.gov/pubmed/29035294
http://dx.doi.org/10.3390/ijms18102155
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