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Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases

The assumption that cellulose degradation and assimilation can only be carried out by heterotrophic organisms was shattered in 2012 when it was discovered that the unicellular green alga, Chlamydomonas reinhardtii (Cr), can utilize cellulose for growth under CO(2)-limiting conditions. Publications o...

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Autores principales: Guerriero, Gea, Sergeant, Kjell, Legay, Sylvain, Hausman, Jean-Francois, Cauchie, Henry-Michel, Ahmad, Irshad, Siddiqui, Khawar Sohail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032398/
https://www.ncbi.nlm.nih.gov/pubmed/29914107
http://dx.doi.org/10.3390/ijms19061782
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author Guerriero, Gea
Sergeant, Kjell
Legay, Sylvain
Hausman, Jean-Francois
Cauchie, Henry-Michel
Ahmad, Irshad
Siddiqui, Khawar Sohail
author_facet Guerriero, Gea
Sergeant, Kjell
Legay, Sylvain
Hausman, Jean-Francois
Cauchie, Henry-Michel
Ahmad, Irshad
Siddiqui, Khawar Sohail
author_sort Guerriero, Gea
collection PubMed
description The assumption that cellulose degradation and assimilation can only be carried out by heterotrophic organisms was shattered in 2012 when it was discovered that the unicellular green alga, Chlamydomonas reinhardtii (Cr), can utilize cellulose for growth under CO(2)-limiting conditions. Publications of genomes/transcriptomes of the colonial microalgae, Gonium pectorale (Gp) and Volvox carteri (Vc), between 2010–2016 prompted us to look for cellulase genes in these algae and to compare them to cellulases from bacteria, fungi, lower/higher plants, and invertebrate metazoans. Interestingly, algal catalytic domains (CDs), belonging to the family GH9, clustered separately and showed the highest (33–42%) and lowest (17–36%) sequence identity with respect to cellulases from invertebrate metazoans and bacteria, respectively, whereas the identity with cellulases from plants was only 27–33%. Based on comparative multiple alignments and homology models, the domain arrangement and active-site architecture of algal cellulases are described in detail. It was found that all algal cellulases are modular, consisting of putative novel cysteine-rich carbohydrate-binding modules (CBMs) and proline/serine-(PS) rich linkers. Two genes were found to encode a protein with a putative Ig-like domain and a cellulase with an unknown domain, respectively. A feature observed in one cellulase homolog from Gp and shared by a spinach cellulase is the existence of two CDs separated by linkers and with a C-terminal CBM. Dockerin and Fn-3-like domains, typically found in bacterial cellulases, are absent in algal enzymes. The targeted gene expression analysis shows that two Gp cellulases consisting, respectively, of a single and two CDs were upregulated upon filter paper addition to the medium.
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spelling pubmed-60323982018-07-13 Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases Guerriero, Gea Sergeant, Kjell Legay, Sylvain Hausman, Jean-Francois Cauchie, Henry-Michel Ahmad, Irshad Siddiqui, Khawar Sohail Int J Mol Sci Article The assumption that cellulose degradation and assimilation can only be carried out by heterotrophic organisms was shattered in 2012 when it was discovered that the unicellular green alga, Chlamydomonas reinhardtii (Cr), can utilize cellulose for growth under CO(2)-limiting conditions. Publications of genomes/transcriptomes of the colonial microalgae, Gonium pectorale (Gp) and Volvox carteri (Vc), between 2010–2016 prompted us to look for cellulase genes in these algae and to compare them to cellulases from bacteria, fungi, lower/higher plants, and invertebrate metazoans. Interestingly, algal catalytic domains (CDs), belonging to the family GH9, clustered separately and showed the highest (33–42%) and lowest (17–36%) sequence identity with respect to cellulases from invertebrate metazoans and bacteria, respectively, whereas the identity with cellulases from plants was only 27–33%. Based on comparative multiple alignments and homology models, the domain arrangement and active-site architecture of algal cellulases are described in detail. It was found that all algal cellulases are modular, consisting of putative novel cysteine-rich carbohydrate-binding modules (CBMs) and proline/serine-(PS) rich linkers. Two genes were found to encode a protein with a putative Ig-like domain and a cellulase with an unknown domain, respectively. A feature observed in one cellulase homolog from Gp and shared by a spinach cellulase is the existence of two CDs separated by linkers and with a C-terminal CBM. Dockerin and Fn-3-like domains, typically found in bacterial cellulases, are absent in algal enzymes. The targeted gene expression analysis shows that two Gp cellulases consisting, respectively, of a single and two CDs were upregulated upon filter paper addition to the medium. MDPI 2018-06-15 /pmc/articles/PMC6032398/ /pubmed/29914107 http://dx.doi.org/10.3390/ijms19061782 Text en © 2018 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
Guerriero, Gea
Sergeant, Kjell
Legay, Sylvain
Hausman, Jean-Francois
Cauchie, Henry-Michel
Ahmad, Irshad
Siddiqui, Khawar Sohail
Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title_full Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title_fullStr Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title_full_unstemmed Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title_short Novel Insights from Comparative In Silico Analysis of Green Microalgal Cellulases
title_sort novel insights from comparative in silico analysis of green microalgal cellulases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032398/
https://www.ncbi.nlm.nih.gov/pubmed/29914107
http://dx.doi.org/10.3390/ijms19061782
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