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Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes
The plant microbiota plays crucial roles in sustaining plant health and productivity. Advancing plant microbiome research and designing sustainable practices for agriculture requires in-depth assessments of microorganisms associated with different host plants; however, there is little information on...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160027/ https://www.ncbi.nlm.nih.gov/pubmed/35650240 http://dx.doi.org/10.1038/s41597-022-01320-7 |
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author | Su, Pin Wicaksono, Wisnu Adi Li, Chenggang Michl, Kristina Berg, Gabriele Wang, Dan Xiao, Youlun Huang, Renyan Kang, Houxiang Zhang, Deyong Cernava, Tomislav Liu, Yong |
author_facet | Su, Pin Wicaksono, Wisnu Adi Li, Chenggang Michl, Kristina Berg, Gabriele Wang, Dan Xiao, Youlun Huang, Renyan Kang, Houxiang Zhang, Deyong Cernava, Tomislav Liu, Yong |
author_sort | Su, Pin |
collection | PubMed |
description | The plant microbiota plays crucial roles in sustaining plant health and productivity. Advancing plant microbiome research and designing sustainable practices for agriculture requires in-depth assessments of microorganisms associated with different host plants; however, there is little information on functional aspects of many microorganisms of interest. Therefore, we enriched microorganisms from the phyllosphere of 110 rice genotypes and subjected them to shotgun metagenomic sequencing to reconstruct bacterial genomes from the obtained datasets. The approach yielded a total of 1.34 terabases of shotgun-sequenced metagenomic data. By separately recovering bacterial genomes from each of the 110 rice genotypes, we recovered 569 non-redundant metagenome-assembled genomes (MAGs) with a completeness higher than 50% and contaminations less than 10%. The MAGs were primarily assigned to Alphaproteobacteria, Gammaproteobacteria, and Bacteroidia. The presented data provides an extended basis for microbiome analyses of plant-associated microorganisms. It is complemented by detailed metadata to facilitate implementations in ecological studies, biotechnological mining approaches, and comparative assessments with genomes or MAGs from other studies. |
format | Online Article Text |
id | pubmed-9160027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91600272022-06-03 Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes Su, Pin Wicaksono, Wisnu Adi Li, Chenggang Michl, Kristina Berg, Gabriele Wang, Dan Xiao, Youlun Huang, Renyan Kang, Houxiang Zhang, Deyong Cernava, Tomislav Liu, Yong Sci Data Data Descriptor The plant microbiota plays crucial roles in sustaining plant health and productivity. Advancing plant microbiome research and designing sustainable practices for agriculture requires in-depth assessments of microorganisms associated with different host plants; however, there is little information on functional aspects of many microorganisms of interest. Therefore, we enriched microorganisms from the phyllosphere of 110 rice genotypes and subjected them to shotgun metagenomic sequencing to reconstruct bacterial genomes from the obtained datasets. The approach yielded a total of 1.34 terabases of shotgun-sequenced metagenomic data. By separately recovering bacterial genomes from each of the 110 rice genotypes, we recovered 569 non-redundant metagenome-assembled genomes (MAGs) with a completeness higher than 50% and contaminations less than 10%. The MAGs were primarily assigned to Alphaproteobacteria, Gammaproteobacteria, and Bacteroidia. The presented data provides an extended basis for microbiome analyses of plant-associated microorganisms. It is complemented by detailed metadata to facilitate implementations in ecological studies, biotechnological mining approaches, and comparative assessments with genomes or MAGs from other studies. Nature Publishing Group UK 2022-06-01 /pmc/articles/PMC9160027/ /pubmed/35650240 http://dx.doi.org/10.1038/s41597-022-01320-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Su, Pin Wicaksono, Wisnu Adi Li, Chenggang Michl, Kristina Berg, Gabriele Wang, Dan Xiao, Youlun Huang, Renyan Kang, Houxiang Zhang, Deyong Cernava, Tomislav Liu, Yong Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title | Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title_full | Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title_fullStr | Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title_full_unstemmed | Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title_short | Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
title_sort | recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160027/ https://www.ncbi.nlm.nih.gov/pubmed/35650240 http://dx.doi.org/10.1038/s41597-022-01320-7 |
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