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Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies
Cells of Microcystis are associated with heterotrophic bacteria and organized in colonies in natural environment, which are basic elements in the mass occurrence of cyanobacterial species. Analyzing these colonies by using metagenomics is helpful to understand species composition and relationship. M...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829522/ https://www.ncbi.nlm.nih.gov/pubmed/31614621 http://dx.doi.org/10.3390/ijms20205047 |
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author | Tu, Jing Chen, Liang Gao, Shen Zhang, Junyi Bi, Changwei Tao, Yuhan Lu, Na Lu, Zuhong |
author_facet | Tu, Jing Chen, Liang Gao, Shen Zhang, Junyi Bi, Changwei Tao, Yuhan Lu, Na Lu, Zuhong |
author_sort | Tu, Jing |
collection | PubMed |
description | Cells of Microcystis are associated with heterotrophic bacteria and organized in colonies in natural environment, which are basic elements in the mass occurrence of cyanobacterial species. Analyzing these colonies by using metagenomics is helpful to understand species composition and relationship. Meanwhile, the difference in population abundance among Microcystis colonies could be used to recover genome bins from metagenome assemblies. Herein, we designed a pipeline to obtain high-quality genomes of mutualistic bacteria from single natural Microcystis colonies. Single colonies were lysed, and then amplified by using multiple displacement amplification to overcome the DNA quantity limit. A two-step assembly was performed after sequencing and scaffolds were grouped into putative bins based on their differential-coverage among species. We analyzed six natural colonies of three prevailing Microcystis species from Lake Taihu. Clustering results proved that colonies of the same species were similar in the microbial community composition. Eight putative population genome bins with wide bacterial diversity and different GC content were identified based on coverage difference among colonies. At the phylum level, proteobacteria was the most abundant besides cyanobacteria. Six of the population bins were further refined into nearly complete genomes (completeness > 90%). |
format | Online Article Text |
id | pubmed-6829522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68295222019-11-18 Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies Tu, Jing Chen, Liang Gao, Shen Zhang, Junyi Bi, Changwei Tao, Yuhan Lu, Na Lu, Zuhong Int J Mol Sci Article Cells of Microcystis are associated with heterotrophic bacteria and organized in colonies in natural environment, which are basic elements in the mass occurrence of cyanobacterial species. Analyzing these colonies by using metagenomics is helpful to understand species composition and relationship. Meanwhile, the difference in population abundance among Microcystis colonies could be used to recover genome bins from metagenome assemblies. Herein, we designed a pipeline to obtain high-quality genomes of mutualistic bacteria from single natural Microcystis colonies. Single colonies were lysed, and then amplified by using multiple displacement amplification to overcome the DNA quantity limit. A two-step assembly was performed after sequencing and scaffolds were grouped into putative bins based on their differential-coverage among species. We analyzed six natural colonies of three prevailing Microcystis species from Lake Taihu. Clustering results proved that colonies of the same species were similar in the microbial community composition. Eight putative population genome bins with wide bacterial diversity and different GC content were identified based on coverage difference among colonies. At the phylum level, proteobacteria was the most abundant besides cyanobacteria. Six of the population bins were further refined into nearly complete genomes (completeness > 90%). MDPI 2019-10-11 /pmc/articles/PMC6829522/ /pubmed/31614621 http://dx.doi.org/10.3390/ijms20205047 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tu, Jing Chen, Liang Gao, Shen Zhang, Junyi Bi, Changwei Tao, Yuhan Lu, Na Lu, Zuhong Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title | Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title_full | Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title_fullStr | Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title_full_unstemmed | Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title_short | Obtaining Genome Sequences of Mutualistic Bacteria in Single Microcystis Colonies |
title_sort | obtaining genome sequences of mutualistic bacteria in single microcystis colonies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829522/ https://www.ncbi.nlm.nih.gov/pubmed/31614621 http://dx.doi.org/10.3390/ijms20205047 |
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