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Biochemical and genetic diversity of carbohydrate-fermenting and obligate amino acid-fermenting hyper-ammonia-producing bacteria from Nellore steers fed tropical forages and supplemented with casein

Overview of attention for article published in BMC Microbiology, February 2015
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Title
Biochemical and genetic diversity of carbohydrate-fermenting and obligate amino acid-fermenting hyper-ammonia-producing bacteria from Nellore steers fed tropical forages and supplemented with casein
Published in
BMC Microbiology, February 2015
DOI 10.1186/s12866-015-0369-9
Pubmed ID
Authors

Cláudia Braga Pereira Bento, Analice Cláudia de Azevedo, Edenio Detmann, Hilário Cuquetto Mantovani

Abstract

Dietary protein plays a major role in ruminant nutrition, and protein supplementation is a widespread practice among farmers in the tropics. Ruminal bacteria are the main agents of dietary protein and amino acid degradation, yet few studies have focused on the isolation and characterization of hyper-ammonia-producing bacteria in animals fed tropical diets or supplemented with rumen-degradable proteins. This work investigated the bacterial community diversity of the rumen of Nellore steers fed tropical forages, with or without casein supplementation. We also isolated and characterized ruminal bacteria showing high levels of ammonia production.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Doctoral Student 7 15%
Student > Master 7 15%
Researcher 6 13%
Professor > Associate Professor 4 9%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 59%
Environmental Science 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Social Sciences 2 4%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 7 15%