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Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils
Ciliates play important roles as prey and predators in ecosystems. Changes in the ciliate community can affect the composition and population of microfauna and microflora in ecosystems. To investigate the structure of ciliate communities, we developed a nested PCR-DGGE method, which combines a unive...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Japanese Society of Microbial Ecology/The Japanese Society of Soil Microbiology
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036011/ https://www.ncbi.nlm.nih.gov/pubmed/22791045 http://dx.doi.org/10.1264/jsme2.ME11287 |
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author | Shimano, Satoshi Sambe, Mitsuo Kasahara, Yasuhiro |
author_facet | Shimano, Satoshi Sambe, Mitsuo Kasahara, Yasuhiro |
author_sort | Shimano, Satoshi |
collection | PubMed |
description | Ciliates play important roles as prey and predators in ecosystems. Changes in the ciliate community can affect the composition and population of microfauna and microflora in ecosystems. To investigate the structure of ciliate communities, we developed a nested PCR-DGGE method, which combines a universal eukaryotic-specific primer set in the first PCR step with a ciliate-specific primer set in the second PCR step, to amplify 18S rRNA genes from ciliates. The 300 bp DGGE fragments generated more bands on the gel than the 600 bp DGGE fragments. Prior to bead beating, DNA extraction of ciliates from soil samples was optimized with a combination of freeze-thaw cycles and ultrasonication. We applied this nested PCR-DGGE method to agricultural soils amended with 0, 120, 300, and 600 t ha(−1) year(−1) of livestock slurry. The results from the DGGE profiles and principal component analysis (PCA) revealed that the supplement of slurry to soils influenced the ciliate communities. From phylogenetic analysis, 108 DGGE bands were assigned to six classes, which included Spirotrichea and Colpodea, of the subphylum Intramacronucleata, and one class of the subphylum Postciliodesmatophora. These results indicated that a wide variety of taxonomic groups were detected by DGGE profiling. Thus, the nested PCR-DGGE method described here could clearly differentiate between ciliate communities within soil samples and allowed for the phylogenetic identification of these ciliates at the class level. |
format | Online Article Text |
id | pubmed-4036011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Japanese Society of Microbial Ecology/The Japanese Society of Soil Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-40360112014-07-24 Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils Shimano, Satoshi Sambe, Mitsuo Kasahara, Yasuhiro Microbes Environ Regular Paper Ciliates play important roles as prey and predators in ecosystems. Changes in the ciliate community can affect the composition and population of microfauna and microflora in ecosystems. To investigate the structure of ciliate communities, we developed a nested PCR-DGGE method, which combines a universal eukaryotic-specific primer set in the first PCR step with a ciliate-specific primer set in the second PCR step, to amplify 18S rRNA genes from ciliates. The 300 bp DGGE fragments generated more bands on the gel than the 600 bp DGGE fragments. Prior to bead beating, DNA extraction of ciliates from soil samples was optimized with a combination of freeze-thaw cycles and ultrasonication. We applied this nested PCR-DGGE method to agricultural soils amended with 0, 120, 300, and 600 t ha(−1) year(−1) of livestock slurry. The results from the DGGE profiles and principal component analysis (PCA) revealed that the supplement of slurry to soils influenced the ciliate communities. From phylogenetic analysis, 108 DGGE bands were assigned to six classes, which included Spirotrichea and Colpodea, of the subphylum Intramacronucleata, and one class of the subphylum Postciliodesmatophora. These results indicated that a wide variety of taxonomic groups were detected by DGGE profiling. Thus, the nested PCR-DGGE method described here could clearly differentiate between ciliate communities within soil samples and allowed for the phylogenetic identification of these ciliates at the class level. Japanese Society of Microbial Ecology/The Japanese Society of Soil Microbiology 2012-06 2011-12-01 /pmc/articles/PMC4036011/ /pubmed/22791045 http://dx.doi.org/10.1264/jsme2.ME11287 Text en Copyright © 2012 by the Japanese Society of Microbial Ecology / the Japanese Society of Soil Microbiology http://creativecommons.org/licenses/by/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Paper Shimano, Satoshi Sambe, Mitsuo Kasahara, Yasuhiro Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title | Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title_full | Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title_fullStr | Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title_full_unstemmed | Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title_short | Application of Nested PCR-DGGE (Denaturing Gradient Gel Electrophoresis) for the Analysis of Ciliate Communities in Soils |
title_sort | application of nested pcr-dgge (denaturing gradient gel electrophoresis) for the analysis of ciliate communities in soils |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036011/ https://www.ncbi.nlm.nih.gov/pubmed/22791045 http://dx.doi.org/10.1264/jsme2.ME11287 |
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