Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis.
The 16S rDNA sequence analysis has been one of the most used approaches for microbiota taxonomic profiling. Among the available techniques, real-time quantitative PCR (qPCR) and next generation sequencing (NGS) and metagenomic analysis has been widely used by researchers, because in addition to qualitative, it also provide quantitative data. Thus, the aim of our study was to compare the effectiveness of these 2 methods for quantification of 3 groups of bacteria of the intestinal microbiota of broilers fed on a standard corn-soybean based diet.
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Anais e Proceedings de eventos biblioteca |
Language: | English eng |
Published: |
2013-01-25
|
Subjects: | Análise de DNA, Análise metagenômica, Metagenomics, Enterobacteriaceae, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/946489 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-alice-doc-946489 |
---|---|
record_format |
koha |
spelling |
dig-alice-doc-9464892017-08-15T23:37:10Z Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. FURLAN, L. CANTÃO, M. GIACHETTO, P. LUNEDO, R. FERNANDES, C. MACARI, M. LUIZ FURLAN, CAUNESP; MAURÍCIO EGIDIO CANTÃO, CNPSA; POLIANA FERNANDA GIACHETTO, CNPTIA; RAQUEL LUNEDO, Unesp; CAMILA FERNANDES, Unesp; MARCOS MACARI, Unesp. Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae The 16S rDNA sequence analysis has been one of the most used approaches for microbiota taxonomic profiling. Among the available techniques, real-time quantitative PCR (qPCR) and next generation sequencing (NGS) and metagenomic analysis has been widely used by researchers, because in addition to qualitative, it also provide quantitative data. Thus, the aim of our study was to compare the effectiveness of these 2 methods for quantification of 3 groups of bacteria of the intestinal microbiota of broilers fed on a standard corn-soybean based diet. X-MEETING 2012. 2013-01-25T11:11:11Z 2013-01-25T11:11:11Z 2013-01-25 2012 2020-01-23T11:11:11Z Anais e Proceedings de eventos In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. http://www.alice.cnptia.embrapa.br/alice/handle/doc/946489 en eng openAccess Não paginado. |
institution |
EMBRAPA |
collection |
DSpace |
country |
Brasil |
countrycode |
BR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-alice |
tag |
biblioteca |
region |
America del Sur |
libraryname |
Sistema de bibliotecas de EMBRAPA |
language |
English eng |
topic |
Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae |
spellingShingle |
Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae FURLAN, L. CANTÃO, M. GIACHETTO, P. LUNEDO, R. FERNANDES, C. MACARI, M. Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
description |
The 16S rDNA sequence analysis has been one of the most used approaches for microbiota taxonomic profiling. Among the available techniques, real-time quantitative PCR (qPCR) and next generation sequencing (NGS) and metagenomic analysis has been widely used by researchers, because in addition to qualitative, it also provide quantitative data. Thus, the aim of our study was to compare the effectiveness of these 2 methods for quantification of 3 groups of bacteria of the intestinal microbiota of broilers fed on a standard corn-soybean based diet. |
author2 |
LUIZ FURLAN, CAUNESP; MAURÍCIO EGIDIO CANTÃO, CNPSA; POLIANA FERNANDA GIACHETTO, CNPTIA; RAQUEL LUNEDO, Unesp; CAMILA FERNANDES, Unesp; MARCOS MACARI, Unesp. |
author_facet |
LUIZ FURLAN, CAUNESP; MAURÍCIO EGIDIO CANTÃO, CNPSA; POLIANA FERNANDA GIACHETTO, CNPTIA; RAQUEL LUNEDO, Unesp; CAMILA FERNANDES, Unesp; MARCOS MACARI, Unesp. FURLAN, L. CANTÃO, M. GIACHETTO, P. LUNEDO, R. FERNANDES, C. MACARI, M. |
format |
Anais e Proceedings de eventos |
topic_facet |
Análise de DNA Análise metagenômica Metagenomics Enterobacteriaceae |
author |
FURLAN, L. CANTÃO, M. GIACHETTO, P. LUNEDO, R. FERNANDES, C. MACARI, M. |
author_sort |
FURLAN, L. |
title |
Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
title_short |
Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
title_full |
Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
title_fullStr |
Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
title_full_unstemmed |
Quantitative analysis of the intestinal bacterial communities in broiler chickens using qPCR and metagenomic analysis. |
title_sort |
quantitative analysis of the intestinal bacterial communities in broiler chickens using qpcr and metagenomic analysis. |
publishDate |
2013-01-25 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/946489 |
work_keys_str_mv |
AT furlanl quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis AT cantaom quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis AT giachettop quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis AT lunedor quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis AT fernandesc quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis AT macarim quantitativeanalysisoftheintestinalbacterialcommunitiesinbroilerchickensusingqpcrandmetagenomicanalysis |
_version_ |
1756018000501145600 |