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Functional metagenomic analysis of dust-associated microbiomes above the Red Sea

Atmospheric transport is a major vector for the long-range transport of microbial communities, maintaining connectivity among them and delivering functionally important microbes, such as pathogens. Though the taxonomic diversity of aeolian microorganisms is well characterized, the genomic functional...

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Autores principales: Aalismail, Nojood A., Ngugi, David K., Díaz-Rúa, Rubén, Alam, Intikhab, Cusack, Michael, Duarte, Carlos M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760216/
https://www.ncbi.nlm.nih.gov/pubmed/31551441
http://dx.doi.org/10.1038/s41598-019-50194-0
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author Aalismail, Nojood A.
Ngugi, David K.
Díaz-Rúa, Rubén
Alam, Intikhab
Cusack, Michael
Duarte, Carlos M.
author_facet Aalismail, Nojood A.
Ngugi, David K.
Díaz-Rúa, Rubén
Alam, Intikhab
Cusack, Michael
Duarte, Carlos M.
author_sort Aalismail, Nojood A.
collection PubMed
description Atmospheric transport is a major vector for the long-range transport of microbial communities, maintaining connectivity among them and delivering functionally important microbes, such as pathogens. Though the taxonomic diversity of aeolian microorganisms is well characterized, the genomic functional traits underpinning their survival during atmospheric transport are poorly characterized. Here we use functional metagenomics of dust samples collected on the Global Dust Belt to initiate a Gene Catalogue of Aeolian Microbiome (GCAM) and explore microbial genetic traits enabling a successful aeolian lifestyle in Aeolian microbial communities. The GCAM reported here, derived from ten aeolian microbial metagenomes, includes a total of 2,370,956 non-redundant coding DNA sequences, corresponding to a yield of ~31 × 10(6) predicted genes per Tera base-pair of DNA sequenced for the aeolian samples sequenced. Two-thirds of the cataloged genes were assigned to bacteria, followed by eukaryotes (5.4%), archaea (1.1%), and viruses (0.69%). Genes encoding proteins involved in repairing UV-induced DNA damage and aerosolization of cells were ubiquitous across samples, and appear as fundamental requirements for the aeolian lifestyle, while genes coding for other important functions supporting the aeolian lifestyle (chemotaxis, aerotaxis, germination, thermal resistance, sporulation, and biofilm formation) varied among the communities sampled.
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spelling pubmed-67602162019-11-12 Functional metagenomic analysis of dust-associated microbiomes above the Red Sea Aalismail, Nojood A. Ngugi, David K. Díaz-Rúa, Rubén Alam, Intikhab Cusack, Michael Duarte, Carlos M. Sci Rep Article Atmospheric transport is a major vector for the long-range transport of microbial communities, maintaining connectivity among them and delivering functionally important microbes, such as pathogens. Though the taxonomic diversity of aeolian microorganisms is well characterized, the genomic functional traits underpinning their survival during atmospheric transport are poorly characterized. Here we use functional metagenomics of dust samples collected on the Global Dust Belt to initiate a Gene Catalogue of Aeolian Microbiome (GCAM) and explore microbial genetic traits enabling a successful aeolian lifestyle in Aeolian microbial communities. The GCAM reported here, derived from ten aeolian microbial metagenomes, includes a total of 2,370,956 non-redundant coding DNA sequences, corresponding to a yield of ~31 × 10(6) predicted genes per Tera base-pair of DNA sequenced for the aeolian samples sequenced. Two-thirds of the cataloged genes were assigned to bacteria, followed by eukaryotes (5.4%), archaea (1.1%), and viruses (0.69%). Genes encoding proteins involved in repairing UV-induced DNA damage and aerosolization of cells were ubiquitous across samples, and appear as fundamental requirements for the aeolian lifestyle, while genes coding for other important functions supporting the aeolian lifestyle (chemotaxis, aerotaxis, germination, thermal resistance, sporulation, and biofilm formation) varied among the communities sampled. Nature Publishing Group UK 2019-09-24 /pmc/articles/PMC6760216/ /pubmed/31551441 http://dx.doi.org/10.1038/s41598-019-50194-0 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Aalismail, Nojood A.
Ngugi, David K.
Díaz-Rúa, Rubén
Alam, Intikhab
Cusack, Michael
Duarte, Carlos M.
Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title_full Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title_fullStr Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title_full_unstemmed Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title_short Functional metagenomic analysis of dust-associated microbiomes above the Red Sea
title_sort functional metagenomic analysis of dust-associated microbiomes above the red sea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760216/
https://www.ncbi.nlm.nih.gov/pubmed/31551441
http://dx.doi.org/10.1038/s41598-019-50194-0
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