Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars
Different techniques to assess bacterial community structure and diversity were evaluated in silages prepared with four different maize cultivars, three conventional and one transgenic (cv. Tundra, event Bt-176). Plants were cultivated in the greenhouse and harvested after 30 days of growth. Silage...
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Online Access: | http://hdl.handle.net/2434/141461 https://doi.org/10.1051/ebr:2007047 |
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ftunivmilanoair:oai:air.unimi.it:2434/141461 2024-02-11T10:09:14+01:00 Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio 2008 http://hdl.handle.net/2434/141461 https://doi.org/10.1051/ebr:2007047 eng eng EDP sciences info:eu-repo/semantics/altIdentifier/pmid/18384727 volume:7 issue:1 firstpage:25 lastpage:33 journal:ENVIRONMENTAL BIOSAFETY RESEARCH http://hdl.handle.net/2434/141461 doi:10.1051/ebr:2007047 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-41849108080 Bacterial communitie Maize Method Silage fermentation Transgenic plants Settore AGR/16 - Microbiologia Agraria info:eu-repo/semantics/article 2008 ftunivmilanoair https://doi.org/10.1051/ebr:2007047 2024-01-23T23:20:12Z Different techniques to assess bacterial community structure and diversity were evaluated in silages prepared with four different maize cultivars, three conventional and one transgenic (cv. Tundra, event Bt-176). Plants were cultivated in the greenhouse and harvested after 30 days of growth. Silage samples were collected at successive times during fermentation and analyzed for bacterial counts and by various DNA-based fingerprinting techniques. Bacterial counts were similar between cultivars for the total culturable bacteria, sporeforming, and mesophilic and thermophilic lactic acid bacteria (LAB). Further analysis of the species composition of 388 LAB strains by intergenic transcribed spacer (ITS) PCR followed by sequencing of 16S rRNA gene did not reveal differences between cultivars. In contrast, molecular fingerprinting methods targeting whole bacterial communities, such as automated ribosomal intergenic spacers analysis (ARISA) and 16S rRNA gene length heterogeneity-PCR (LH-PCR), indicated that different maize silage batches or cultivars hosted different bacterial communities. Thus, ARISA and LH-PCR fingerprinting techniques offer a fast and sensitive method to compare bacterial communities, and to detect differences in silage bacterial communities. Article in Journal/Newspaper Tundra The University of Milan: Archivio Istituzionale della Ricerca (AIR) |
institution |
Open Polar |
collection |
The University of Milan: Archivio Istituzionale della Ricerca (AIR) |
op_collection_id |
ftunivmilanoair |
language |
English |
topic |
Bacterial communitie Maize Method Silage fermentation Transgenic plants Settore AGR/16 - Microbiologia Agraria |
spellingShingle |
Bacterial communitie Maize Method Silage fermentation Transgenic plants Settore AGR/16 - Microbiologia Agraria L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
topic_facet |
Bacterial communitie Maize Method Silage fermentation Transgenic plants Settore AGR/16 - Microbiologia Agraria |
description |
Different techniques to assess bacterial community structure and diversity were evaluated in silages prepared with four different maize cultivars, three conventional and one transgenic (cv. Tundra, event Bt-176). Plants were cultivated in the greenhouse and harvested after 30 days of growth. Silage samples were collected at successive times during fermentation and analyzed for bacterial counts and by various DNA-based fingerprinting techniques. Bacterial counts were similar between cultivars for the total culturable bacteria, sporeforming, and mesophilic and thermophilic lactic acid bacteria (LAB). Further analysis of the species composition of 388 LAB strains by intergenic transcribed spacer (ITS) PCR followed by sequencing of 16S rRNA gene did not reveal differences between cultivars. In contrast, molecular fingerprinting methods targeting whole bacterial communities, such as automated ribosomal intergenic spacers analysis (ARISA) and 16S rRNA gene length heterogeneity-PCR (LH-PCR), indicated that different maize silage batches or cultivars hosted different bacterial communities. Thus, ARISA and LH-PCR fingerprinting techniques offer a fast and sensitive method to compare bacterial communities, and to detect differences in silage bacterial communities. |
author2 |
L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio |
format |
Article in Journal/Newspaper |
author |
L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio |
author_facet |
L. Brusetti S. Borin A. Rizzi D. Mora C. Sorlini D.G. Daffonchio |
author_sort |
L. Brusetti |
title |
Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
title_short |
Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
title_full |
Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
title_fullStr |
Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
title_full_unstemmed |
Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars |
title_sort |
exploration of methods used to describe bacterial communities in silage of maize (zea mays) cultivars |
publisher |
EDP sciences |
publishDate |
2008 |
url |
http://hdl.handle.net/2434/141461 https://doi.org/10.1051/ebr:2007047 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/18384727 volume:7 issue:1 firstpage:25 lastpage:33 journal:ENVIRONMENTAL BIOSAFETY RESEARCH http://hdl.handle.net/2434/141461 doi:10.1051/ebr:2007047 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-41849108080 |
op_doi |
https://doi.org/10.1051/ebr:2007047 |
_version_ |
1790609026421096448 |