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Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging
Most molecular fingerprinting techniques, including denaturing gradient gel electrophoresis (DGGE) [1], comparative genomic hybridization (CGH) [2], real-time polymerase chain reaction (RT-PCR) [3], destroy community structure and/or cellular integrity, therefore lost the info. of the spatial locus...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523904/ https://www.ncbi.nlm.nih.gov/pubmed/26258051 http://dx.doi.org/10.1016/j.mex.2015.06.004 |
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author | Zhang, Pei Valverde, Paloma Daniel, Douglas Fox, Peter |
author_facet | Zhang, Pei Valverde, Paloma Daniel, Douglas Fox, Peter |
author_sort | Zhang, Pei |
collection | PubMed |
description | Most molecular fingerprinting techniques, including denaturing gradient gel electrophoresis (DGGE) [1], comparative genomic hybridization (CGH) [2], real-time polymerase chain reaction (RT-PCR) [3], destroy community structure and/or cellular integrity, therefore lost the info. of the spatial locus and the in situ genomic copy number of the cells. An alternative technique, fluorescence in situ hybridization (FISH) doesn't require sample disintegration but needs to develop specific markers and doesn't provide info. related to genomic copy number. Here, a microbial analysis tool, Spatial Analytical Microbial Imaging (SAMI), is described. An application was performed with a mixture of Synechocystis sp. PCC 6803 and E. coli K-12 MG1655. The intrinsic property of their genome, reflected by the average fluorescence intensity (AFI), distinguished them in 3D. And their growth rates were inferred by comparing the total genomic fluorescence binding area (GFA) with that of the pure culture standards. A 93% of accuracy in differentiating the species was achieved. • SAMI does not require sample disintegration and preserves the community spatial structure. • It measures the 3D locus of cells within the mixture and may differentiate them according to the property of their genome. • It allows assessment of the growth rate of the cells within the mixture by comparing their genomic copy number with that of the pure culture standards. |
format | Online Article Text |
id | pubmed-4523904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45239042015-08-07 Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging Zhang, Pei Valverde, Paloma Daniel, Douglas Fox, Peter MethodsX Biochemistry, Genetics and Molecular Biology Most molecular fingerprinting techniques, including denaturing gradient gel electrophoresis (DGGE) [1], comparative genomic hybridization (CGH) [2], real-time polymerase chain reaction (RT-PCR) [3], destroy community structure and/or cellular integrity, therefore lost the info. of the spatial locus and the in situ genomic copy number of the cells. An alternative technique, fluorescence in situ hybridization (FISH) doesn't require sample disintegration but needs to develop specific markers and doesn't provide info. related to genomic copy number. Here, a microbial analysis tool, Spatial Analytical Microbial Imaging (SAMI), is described. An application was performed with a mixture of Synechocystis sp. PCC 6803 and E. coli K-12 MG1655. The intrinsic property of their genome, reflected by the average fluorescence intensity (AFI), distinguished them in 3D. And their growth rates were inferred by comparing the total genomic fluorescence binding area (GFA) with that of the pure culture standards. A 93% of accuracy in differentiating the species was achieved. • SAMI does not require sample disintegration and preserves the community spatial structure. • It measures the 3D locus of cells within the mixture and may differentiate them according to the property of their genome. • It allows assessment of the growth rate of the cells within the mixture by comparing their genomic copy number with that of the pure culture standards. Elsevier 2015-06-25 /pmc/articles/PMC4523904/ /pubmed/26258051 http://dx.doi.org/10.1016/j.mex.2015.06.004 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Zhang, Pei Valverde, Paloma Daniel, Douglas Fox, Peter Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title | Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title_full | Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title_fullStr | Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title_full_unstemmed | Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title_short | Study of a two species microbial community by an inferential comparative genomic analysis tool: Spatial Analytical Microbial Imaging |
title_sort | study of a two species microbial community by an inferential comparative genomic analysis tool: spatial analytical microbial imaging |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523904/ https://www.ncbi.nlm.nih.gov/pubmed/26258051 http://dx.doi.org/10.1016/j.mex.2015.06.004 |
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