Cargando…

The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum

In this study, sequencing of the 16S rRNA gene targeting the V4-V6 regions was conducted to assess the cecal microbial alterations in response to dietary supplementation with a yeast derived mannan rich fraction (MRF) in standard commercial broiler production settings across four separate broiler tr...

Descripción completa

Detalles Bibliográficos
Autores principales: Corrigan, A., Russell, N., Welge, M., Auvil, L., Bushell, C., White, B. A., Murphy, R. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125325/
https://www.ncbi.nlm.nih.gov/pubmed/30185819
http://dx.doi.org/10.1038/s41598-018-31438-x
_version_ 1783353139766755328
author Corrigan, A.
Russell, N.
Welge, M.
Auvil, L.
Bushell, C.
White, B. A.
Murphy, R. A.
author_facet Corrigan, A.
Russell, N.
Welge, M.
Auvil, L.
Bushell, C.
White, B. A.
Murphy, R. A.
author_sort Corrigan, A.
collection PubMed
description In this study, sequencing of the 16S rRNA gene targeting the V4-V6 regions was conducted to assess the cecal microbial alterations in response to dietary supplementation with a yeast derived mannan rich fraction (MRF) in standard commercial broiler production settings across four separate broiler trials. The resulting data was analysed to identify consistent changes in the bacterial community structure of the broiler cecum in response to MRF supplementation. Subsequently, the datasets from each individual trial were pooled and analysed for differences between control and MRF supplemented diets at day 35 posthatch. The results from this analysis showed that Phylum Firmicutes was decreased and Phylum Bacteroidetes was increased across all four trials at day 35 posthatch when compared to the control. An extension of the random forest bioinformatics approach to discover a highly relevant set of microbial operational taxonomic units (OTUs) which are indicative of MRF supplementation in the broiler cecum was then used. This approach has enabled the identification of a novel set of yeast-mannan sensitive bacterial OTUs in the cecal microbiome. This information will be helpful in developing potential future nutritional strategies and will be favourable to the poultry industry.
format Online
Article
Text
id pubmed-6125325
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-61253252018-09-10 The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum Corrigan, A. Russell, N. Welge, M. Auvil, L. Bushell, C. White, B. A. Murphy, R. A. Sci Rep Article In this study, sequencing of the 16S rRNA gene targeting the V4-V6 regions was conducted to assess the cecal microbial alterations in response to dietary supplementation with a yeast derived mannan rich fraction (MRF) in standard commercial broiler production settings across four separate broiler trials. The resulting data was analysed to identify consistent changes in the bacterial community structure of the broiler cecum in response to MRF supplementation. Subsequently, the datasets from each individual trial were pooled and analysed for differences between control and MRF supplemented diets at day 35 posthatch. The results from this analysis showed that Phylum Firmicutes was decreased and Phylum Bacteroidetes was increased across all four trials at day 35 posthatch when compared to the control. An extension of the random forest bioinformatics approach to discover a highly relevant set of microbial operational taxonomic units (OTUs) which are indicative of MRF supplementation in the broiler cecum was then used. This approach has enabled the identification of a novel set of yeast-mannan sensitive bacterial OTUs in the cecal microbiome. This information will be helpful in developing potential future nutritional strategies and will be favourable to the poultry industry. Nature Publishing Group UK 2018-09-05 /pmc/articles/PMC6125325/ /pubmed/30185819 http://dx.doi.org/10.1038/s41598-018-31438-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Corrigan, A.
Russell, N.
Welge, M.
Auvil, L.
Bushell, C.
White, B. A.
Murphy, R. A.
The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title_full The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title_fullStr The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title_full_unstemmed The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title_short The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
title_sort use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125325/
https://www.ncbi.nlm.nih.gov/pubmed/30185819
http://dx.doi.org/10.1038/s41598-018-31438-x
work_keys_str_mv AT corrigana theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT russelln theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT welgem theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT auvill theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT bushellc theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT whiteba theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT murphyra theuseofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT corrigana useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT russelln useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT welgem useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT auvill useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT bushellc useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT whiteba useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum
AT murphyra useofrandomforestsmodellingtodetectyeastmannansensitivebacterialchangesinthebroilercecum