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Identifying candidate Aspergillus pathogenicity factors by annotation frequency

BACKGROUND: Members of the genus Aspergillus display a variety of lifestyles, ranging from saprobic to pathogenic on plants and/or animals. Increased genome sequencing of economically important members of the genus permits effective use of “-omics” comparisons between closely related species and str...

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Autores principales: Pennerman, Kayla K., Yin, Guohua, Glenn, Anthony E., Bennett, Joan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661267/
https://www.ncbi.nlm.nih.gov/pubmed/33176679
http://dx.doi.org/10.1186/s12866-020-02031-y
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author Pennerman, Kayla K.
Yin, Guohua
Glenn, Anthony E.
Bennett, Joan W.
author_facet Pennerman, Kayla K.
Yin, Guohua
Glenn, Anthony E.
Bennett, Joan W.
author_sort Pennerman, Kayla K.
collection PubMed
description BACKGROUND: Members of the genus Aspergillus display a variety of lifestyles, ranging from saprobic to pathogenic on plants and/or animals. Increased genome sequencing of economically important members of the genus permits effective use of “-omics” comparisons between closely related species and strains to identify candidate genes that may contribute to phenotypes of interest, especially relating to pathogenicity. Protein-coding genes were predicted from 216 genomes of 12 Aspergillus species, and the frequencies of various structural aspects (exon count and length, intron count and length, GC content, and codon usage) and functional annotations (InterPro, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes terms) were compared. RESULTS: Using principal component analyses, the three sets of functional annotations for each strain were clustered by species. The species clusters appeared to separate by pathogenicity on plants along the first dimensions, which accounted for over 20% of the variance. More annotations for genes encoding pectinases and secondary metabolite biosynthetic enzymes were assigned to phytopathogenic strains from species such as Aspergillus flavus. In contrast, Aspergillus fumigatus strains, which are pathogenic to animals but not plants, were assigned relatively more terms related to phosphate transferases, and carbohydrate and amino-sugar metabolism. Analyses of publicly available RNA-Seq data indicated that one A. fumigatus protein among 17 amino-sugar processing candidates, a hexokinase, was up-regulated during co-culturing with human immune system cells. CONCLUSION: Genes encoding hexokinases and other proteins of interest may be subject to future manipulations to further refine understanding of Aspergillus pathogenicity factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-020-02031-y.
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spelling pubmed-76612672020-11-13 Identifying candidate Aspergillus pathogenicity factors by annotation frequency Pennerman, Kayla K. Yin, Guohua Glenn, Anthony E. Bennett, Joan W. BMC Microbiol Research Article BACKGROUND: Members of the genus Aspergillus display a variety of lifestyles, ranging from saprobic to pathogenic on plants and/or animals. Increased genome sequencing of economically important members of the genus permits effective use of “-omics” comparisons between closely related species and strains to identify candidate genes that may contribute to phenotypes of interest, especially relating to pathogenicity. Protein-coding genes were predicted from 216 genomes of 12 Aspergillus species, and the frequencies of various structural aspects (exon count and length, intron count and length, GC content, and codon usage) and functional annotations (InterPro, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes terms) were compared. RESULTS: Using principal component analyses, the three sets of functional annotations for each strain were clustered by species. The species clusters appeared to separate by pathogenicity on plants along the first dimensions, which accounted for over 20% of the variance. More annotations for genes encoding pectinases and secondary metabolite biosynthetic enzymes were assigned to phytopathogenic strains from species such as Aspergillus flavus. In contrast, Aspergillus fumigatus strains, which are pathogenic to animals but not plants, were assigned relatively more terms related to phosphate transferases, and carbohydrate and amino-sugar metabolism. Analyses of publicly available RNA-Seq data indicated that one A. fumigatus protein among 17 amino-sugar processing candidates, a hexokinase, was up-regulated during co-culturing with human immune system cells. CONCLUSION: Genes encoding hexokinases and other proteins of interest may be subject to future manipulations to further refine understanding of Aspergillus pathogenicity factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-020-02031-y. BioMed Central 2020-11-11 /pmc/articles/PMC7661267/ /pubmed/33176679 http://dx.doi.org/10.1186/s12866-020-02031-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Pennerman, Kayla K.
Yin, Guohua
Glenn, Anthony E.
Bennett, Joan W.
Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title_full Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title_fullStr Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title_full_unstemmed Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title_short Identifying candidate Aspergillus pathogenicity factors by annotation frequency
title_sort identifying candidate aspergillus pathogenicity factors by annotation frequency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661267/
https://www.ncbi.nlm.nih.gov/pubmed/33176679
http://dx.doi.org/10.1186/s12866-020-02031-y
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