Cargando…
Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology
Next generation sequencing (NGS) enables rapid analysis of the composition and diversity of microbial communities in several habitats. We applied the high throughput techniques of NGS to the metagenomics study of endophytic bacteria in Aloe vera plant, by assessing its PCR amplicon of 16S rDNA seque...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664749/ https://www.ncbi.nlm.nih.gov/pubmed/26697361 http://dx.doi.org/10.1016/j.gdata.2015.09.004 |
_version_ | 1782403479047766016 |
---|---|
author | Akinsanya, Mushafau Adewale Goh, Joo Kheng Lim, Siew Ping Ting, Adeline Su Yien |
author_facet | Akinsanya, Mushafau Adewale Goh, Joo Kheng Lim, Siew Ping Ting, Adeline Su Yien |
author_sort | Akinsanya, Mushafau Adewale |
collection | PubMed |
description | Next generation sequencing (NGS) enables rapid analysis of the composition and diversity of microbial communities in several habitats. We applied the high throughput techniques of NGS to the metagenomics study of endophytic bacteria in Aloe vera plant, by assessing its PCR amplicon of 16S rDNA sequences (V3–V4 regions) with the Illumina metagenomics technique used to generate a total of 5,199,102 reads from the samples. The analyses revealed Proteobacteria, Firmicutes, Actinobacteria and Bacteriodetes as the predominant genera. The roots have the largest composition with 23% not present in other tissues. The stems have more of the genus—Pseudomonas and the unclassified Pseudomonadaceae. The α-diversity analysis indicated the richness and inverse Simpson diversity index of the bacterial endophyte communities for the leaf, root and stem tissues to be 2.221, 6.603 and 1.491 respectively. In a similar study on culturable endophytic bacteria in the same A. vera plants (unpublished work), the dominance of Pseudomonas and Bacillus genera was similar, with equal proportion of four species each in root, stem and leaf tissues. It is evident that NGS technology captured effectively the metagenomics of microbiota in plant tissues and this can improve our understanding of the microbial–plant host interactions. |
format | Online Article Text |
id | pubmed-4664749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-46647492015-12-22 Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology Akinsanya, Mushafau Adewale Goh, Joo Kheng Lim, Siew Ping Ting, Adeline Su Yien Genom Data Regular Article Next generation sequencing (NGS) enables rapid analysis of the composition and diversity of microbial communities in several habitats. We applied the high throughput techniques of NGS to the metagenomics study of endophytic bacteria in Aloe vera plant, by assessing its PCR amplicon of 16S rDNA sequences (V3–V4 regions) with the Illumina metagenomics technique used to generate a total of 5,199,102 reads from the samples. The analyses revealed Proteobacteria, Firmicutes, Actinobacteria and Bacteriodetes as the predominant genera. The roots have the largest composition with 23% not present in other tissues. The stems have more of the genus—Pseudomonas and the unclassified Pseudomonadaceae. The α-diversity analysis indicated the richness and inverse Simpson diversity index of the bacterial endophyte communities for the leaf, root and stem tissues to be 2.221, 6.603 and 1.491 respectively. In a similar study on culturable endophytic bacteria in the same A. vera plants (unpublished work), the dominance of Pseudomonas and Bacillus genera was similar, with equal proportion of four species each in root, stem and leaf tissues. It is evident that NGS technology captured effectively the metagenomics of microbiota in plant tissues and this can improve our understanding of the microbial–plant host interactions. Elsevier 2015-09-10 /pmc/articles/PMC4664749/ /pubmed/26697361 http://dx.doi.org/10.1016/j.gdata.2015.09.004 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Akinsanya, Mushafau Adewale Goh, Joo Kheng Lim, Siew Ping Ting, Adeline Su Yien Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title | Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title_full | Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title_fullStr | Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title_full_unstemmed | Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title_short | Metagenomics study of endophytic bacteria in Aloe vera using next-generation technology |
title_sort | metagenomics study of endophytic bacteria in aloe vera using next-generation technology |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664749/ https://www.ncbi.nlm.nih.gov/pubmed/26697361 http://dx.doi.org/10.1016/j.gdata.2015.09.004 |
work_keys_str_mv | AT akinsanyamushafauadewale metagenomicsstudyofendophyticbacteriainaloeverausingnextgenerationtechnology AT gohjookheng metagenomicsstudyofendophyticbacteriainaloeverausingnextgenerationtechnology AT limsiewping metagenomicsstudyofendophyticbacteriainaloeverausingnextgenerationtechnology AT tingadelinesuyien metagenomicsstudyofendophyticbacteriainaloeverausingnextgenerationtechnology |