SeSaMe PS Function: Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Mycorrhizal Fungi.
Identifieur interne : 000065 ( PubMed/Corpus ); précédent : 000064; suivant : 000066SeSaMe PS Function: Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Mycorrhizal Fungi.
Auteurs : Jee Eun Kang ; Antonio Ciampi ; Mohamed HijriSource :
- Genomics, proteomics & bioinformatics [ 2210-3244 ] ; 2020.
Abstract
In this study, we introduce a novel bioinformatics program, Spore-associated Symbiotic Microbes Position-specific Function (SeSaMe PS Function), for position-specific functional analysis of short sequences derived from metagenome sequencing data of the arbuscular mycorrhizal fungi. The unique advantage of the program lies in databases created based on genus-specific sequence properties derived from protein secondary structure, namely amino acid usages, codon usages, and codon contexts of 3-codon DNA 9-mers. SeSaMe PS Function searches a query sequence against reference sequence database, identifies 3-codon DNA 9-mers with structural roles, and creates a comparative dataset containing the codon usage biases of the 3-codon DNA 9-mers from 54 bacterial and fungal genera. The program applies correlation principal component analysis in conjunction with K-means clustering method to the comparative dataset. 3-codon DNA 9-mers clustered as a sole member or with only a few members are often structurally and functionally distinctive sites that provide useful insights into important intra- and intermolecular interactions. SeSaMe PS Function is freely available for downloading at www.fungalsesame.org.
DOI: 10.1016/j.gpb.2018.07.011
PubMed: 33346085
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pubmed:33346085Le document en format XML
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<author><name sortKey="Eun Kang, Jee" sort="Eun Kang, Jee" uniqKey="Eun Kang J" first="Jee" last="Eun Kang">Jee Eun Kang</name>
<affiliation><nlm:affiliation>Institut de Recherche en Biologie Végétale, Département de Sciences Biologiques, Université de Montréal, QC H1X 2B2, Canada. Electronic address: jekang_39@yahoo.com.</nlm:affiliation>
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<author><name sortKey="Ciampi, Antonio" sort="Ciampi, Antonio" uniqKey="Ciampi A" first="Antonio" last="Ciampi">Antonio Ciampi</name>
<affiliation><nlm:affiliation>Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC H3A 1A2, Canada.</nlm:affiliation>
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<author><name sortKey="Hijri, Mohamed" sort="Hijri, Mohamed" uniqKey="Hijri M" first="Mohamed" last="Hijri">Mohamed Hijri</name>
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<front><div type="abstract" xml:lang="en">In this study, we introduce a novel bioinformatics program, Spore-associated Symbiotic Microbes Position-specific Function (SeSaMe PS Function), for position-specific functional analysis of short sequences derived from metagenome sequencing data of the arbuscular mycorrhizal fungi. The unique advantage of the program lies in databases created based on genus-specific sequence properties derived from protein secondary structure, namely amino acid usages, codon usages, and codon contexts of 3-codon DNA 9-mers. SeSaMe PS Function searches a query sequence against reference sequence database, identifies 3-codon DNA 9-mers with structural roles, and creates a comparative dataset containing the codon usage biases of the 3-codon DNA 9-mers from 54 bacterial and fungal genera. The program applies correlation principal component analysis in conjunction with K-means clustering method to the comparative dataset. 3-codon DNA 9-mers clustered as a sole member or with only a few members are often structurally and functionally distinctive sites that provide useful insights into important intra- and intermolecular interactions. SeSaMe PS Function is freely available for downloading at www.fungalsesame.org.</div>
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<ArticleTitle>SeSaMe PS Function: Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Mycorrhizal Fungi.</ArticleTitle>
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<Abstract><AbstractText>In this study, we introduce a novel bioinformatics program, Spore-associated Symbiotic Microbes Position-specific Function (SeSaMe PS Function), for position-specific functional analysis of short sequences derived from metagenome sequencing data of the arbuscular mycorrhizal fungi. The unique advantage of the program lies in databases created based on genus-specific sequence properties derived from protein secondary structure, namely amino acid usages, codon usages, and codon contexts of 3-codon DNA 9-mers. SeSaMe PS Function searches a query sequence against reference sequence database, identifies 3-codon DNA 9-mers with structural roles, and creates a comparative dataset containing the codon usage biases of the 3-codon DNA 9-mers from 54 bacterial and fungal genera. The program applies correlation principal component analysis in conjunction with K-means clustering method to the comparative dataset. 3-codon DNA 9-mers clustered as a sole member or with only a few members are often structurally and functionally distinctive sites that provide useful insights into important intra- and intermolecular interactions. SeSaMe PS Function is freely available for downloading at www.fungalsesame.org.</AbstractText>
<CopyrightInformation>Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.</CopyrightInformation>
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<Keyword MajorTopicYN="N">Outlier</Keyword>
<Keyword MajorTopicYN="N">Position-specific function</Keyword>
<Keyword MajorTopicYN="N">SeSaMe</Keyword>
<Keyword MajorTopicYN="N">Spore-associated symbiotic microbes</Keyword>
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<CoiStatement>Competing interests The authors have declared no competing interests.</CoiStatement>
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