Slovak
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Environmental biosafety research

Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars.

Články môžu prekladať iba registrovaní používatelia
Prihlásiť Registrácia
Odkaz sa uloží do schránky
Lorenzo Brusetti
Sara Borin
Aurora Rizzi
Diego Mora
Claudia Sorlini
Daniele Daffonchio

Kľúčové slová

Abstrakt

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.

Pripojte sa k našej
facebookovej stránke

Najkompletnejšia databáza liečivých bylín podporovaná vedou

  • Pracuje v 55 jazykoch
  • Bylinné lieky podporené vedou
  • Rozpoznávanie bylín podľa obrázka
  • Interaktívna GPS mapa - označte byliny na mieste (už čoskoro)
  • Prečítajte si vedecké publikácie týkajúce sa vášho hľadania
  • Vyhľadajte liečivé byliny podľa ich účinkov
  • Usporiadajte svoje záujmy a držte krok s novinkami, klinickými skúškami a patentmi

Zadajte príznak alebo chorobu a prečítajte si o bylinách, ktoré by vám mohli pomôcť, napíšte bylinu a pozrite sa na choroby a príznaky, proti ktorým sa používa.
* Všetky informácie sú založené na publikovanom vedeckom výskume

Google Play badgeApp Store badge