Literature DB >> 22092776

Characterization of the fecal bacteria communities of forage-fed horses by pyrosequencing of 16S rRNA V4 gene amplicons.

Megan L Shepherd1, William S Swecker, Roderick V Jensen, Monica A Ponder.   

Abstract

The diversity of the equine fecal bacterial community was evaluated using pyrosequencing of 16S rRNA gene amplicons. Fecal samples were obtained from horses fed cool-season grass hay. Fecal bacteria were characterized by amplifying the V4 region of bacterial 16S rRNA gene. Of 5898 mean unique sequences, a mean of 1510 operational taxonomic units were identified in the four fecal samples. Equine fecal bacterial richness was higher than that reported in humans, but lower than that reported in either cattle feces or soil. Bacterial classified sequences were assigned to 16 phyla, of which 10 were present in all samples. The largest number of reads belonged to Firmicutes (43.7% of total bacterial sequences), Verrucomicrobia (4.1%), Proteobacteria (3.8%), and Bacteroidetes (3.7%). The less abundant Actinobacteria, Cyanobacteria, and TM7 phyla presented here have not been previously described in the gut contents or feces of horses. Unclassified sequences represented 38.1% of total bacterial sequences; therefore, the equine fecal microbiome diversity is likely greater than that described. This is the first study to characterize the fecal bacterial community in horses by the use of 16S rRNA gene amplicon pyrosequencing, expanding our knowledge of the fecal microbiota of forage-fed horses.
© 2011 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22092776     DOI: 10.1111/j.1574-6968.2011.02434.x

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


  55 in total

1.  Analysis of the gut microbiota by high-throughput sequencing of the V5-V6 regions of the 16S rRNA gene in donkey.

Authors:  Xinfeng Liu; Hanlu Fan; Xiangbin Ding; Zhongshan Hong; Yongwei Nei; Zhongwei Liu; Guangpeng Li; Hong Guo
Journal:  Curr Microbiol       Date:  2014-01-23       Impact factor: 2.188

2.  Microbial communities present in the lower respiratory tract of clinically healthy birds in Pakistan.

Authors:  Muhammad Zubair Shabbir; Tyler Malys; Yury V Ivanov; Jihye Park; Muhammad Abu Bakr Shabbir; Masood Rabbani; Tahir Yaqub; Eric Thomas Harvill
Journal:  Poult Sci       Date:  2015-02-09       Impact factor: 3.352

3.  Effect of hay type on cecal and fecal microbiome and fermentation parameters in horses.

Authors:  Rachel J Sorensen; James S Drouillard; Teresa L Douthit; Qinghong Ran; Douglas G Marthaler; Qing Kang; Christopher I Vahl; James M Lattimer
Journal:  J Anim Sci       Date:  2020-12-29       Impact factor: 3.159

4.  Bacterial community composition and fermentation patterns in the rumen of sika deer (Cervus nippon) fed three different diets.

Authors:  Zhipeng Li; André-Denis G Wright; Hanlu Liu; Kun Bao; Tietao Zhang; Kaiying Wang; Xuezhe Cui; Fuhe Yang; Zhigang Zhang; Guangyu Li
Journal:  Microb Ecol       Date:  2014-09-25       Impact factor: 4.552

5.  Organic Amendments in a Long-term Field Trial-Consequences for the Bulk Soil Bacterial Community as Revealed by Network Analysis.

Authors:  Christoph A O Schmid; Peter Schröder; Martin Armbruster; Michael Schloter
Journal:  Microb Ecol       Date:  2017-11-29       Impact factor: 4.552

6.  Influence of short-term dietary starch inclusion on the equine cecal microbiome.

Authors:  C M Warzecha; J A Coverdale; J E Janecka; J L Leatherwood; W E Pinchak; T A Wickersham; J C McCann
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

7.  Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines.

Authors:  Edward Alain B Pajarillo; Jong Pyo Chae; Marilen P Balolong; Hyeun Bum Kim; Kang-Seok Seo; Dae-Kyung Kang
Journal:  J Microbiol       Date:  2014-07-18       Impact factor: 3.422

8.  Core gut microbiota in Jinhua pigs and its correlation with strain, farm and weaning age.

Authors:  Hua Yang; Yingping Xiao; Junjun Wang; Yun Xiang; Yujie Gong; Xueting Wen; Defa Li
Journal:  J Microbiol       Date:  2018-05-02       Impact factor: 3.422

9.  Toolbox Approaches Using Molecular Markers and 16S rRNA Gene Amplicon Data Sets for Identification of Fecal Pollution in Surface Water.

Authors:  W Ahmed; C Staley; M J Sadowsky; P Gyawali; J P S Sidhu; A Palmer; D J Beale; S Toze
Journal:  Appl Environ Microbiol       Date:  2015-07-31       Impact factor: 4.792

10.  Effect of hay type on cecal and fecal microbiome and fermentation parameters in horses.

Authors:  Rachel J Sorensen; James S Drouillard; Teresa L Douthit; Qinghong Ran; Douglas G Marthaler; Qing Kang; Christopher I Vahl; James M Lattimer
Journal:  J Anim Sci       Date:  2021-01-01       Impact factor: 3.159

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.