Metagenomic analysis of virulence-associated and antibiotic resistance genes of microbes in rumen of Indian buffalo (Bubalus bubalis)

被引:32
作者
Singh, K. M. [1 ,2 ]
Jakhesara, S. J. [2 ]
Koringa, P. G. [2 ]
Rank, D. N. [3 ]
Joshi, C. G. [2 ]
机构
[1] ARIBAS, Dept Genet, Anand, Gujarat, India
[2] Anand Agr Univ, Dept Anim Biotechnol, Anand, Gujarat, India
[3] Anand Agr Univ, Dept Anim Genet & Breeding, Anand, Gujarat, India
关键词
Surti Buffalo; Metagenome; GSFLX; Virulence; RATC; INTESTINAL MICROBIOME; CENTRIC METAGENOMICS; ANIMAL FEED; BACTERIA; CATTLE; FECES; WATER; SOIL; AGRICULTURE; DIVERSITY;
D O I
10.1016/j.gene.2012.07.037
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
A major research goal in rumen microbial ecology is to understand the relationship between community composition and its function, particularly involved in fermentation process is of a potential interest. The buffalo rumen microbiota impacts human food safety as well as animal health. Although the bacteria of bovine rumen have been well characterized, techniques have been lacking to correlate total community structure with gene function. We applied 454 next generations sequencing technology to characterize general microbial diversity present in buffalo rumen metagenome and also identified the repertoire of microbial genes present, including genes associated with antibiotic resistance and bacterial virulence. Results suggest that over six percent (6.44%) of the sequences from our buffalo rumen pool sample could be categorized as virulence genes and genes associated with resistance to antibiotic and toxic compounds (RATC), which is a higher proportion of virulence genes reported from metagenome samples of chicken cecum (5.39%), cow rumen (4.43%) and Sargasso sea (2.95%). However, it was lower than the proportion found in cow milk (11.33%) cattle faeces (8.4%). Antarctic marine derived lake (8.45%), human fecal (7.7%) and farm soil (7.79%). The dynamic nature of metagenomic data, together with the large number of RATC classes observed in samples from widely different ecologies indicates that metagenomic data can be used to track potential targets and relative amounts of antibiotic resistance genes in individual animals. In addition, these data can be also used to generate antibiotic resistance gene profiles to facilitate an understanding of the ecology of the microbial communities in each habitat as well as the epidemiology of antibiotic resistant gene transport between and among habitats. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:146 / 151
页数:6
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