A collection of rumen bacteriome data from 334 mid-lactation dairy cows

被引:15
|
作者
Sun, Hui-Zeng [1 ]
Xue, Mingyuan [2 ]
Guan, Le Luo [1 ]
Liu, Jianxin [2 ]
机构
[1] Univ Alberta, Dept Agr Food & Nutr Sci, Edmonton, AB T6G 2P5, Canada
[2] Zhejiang Univ, Inst Dairy Sci, Coll Anim Sci, MoE Key Lab Mol Anim Nutr, Hangzhou 310058, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
SEQUENCES; DIVERSITY; DEPTH; TOOL;
D O I
10.1038/sdata.2018.301
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the help of the bacteria in the rumen, ruminants can effectively convert human inedible plant fiber to edible food (meat and milk). However, the understanding of rumen bacteriome in dairy cows is still limited, especially in a large population under the same diet, breed, and milking period. Here we described the sequencing data of 16S rRNA gene of rumen bacteriome from 334 mid-lactation Holstein dairy cows generated using the Illumina HiSeq 2500 (PE250) platform. A total of 24,030,828 raw reads with an average of 71,946 +/- 13,450 sequences per sample were obtained. The top ten genera with highest relative abundance accounted for 60.65% of total bacterial sequences. We observed 4,460 overall operational taxonomic units (1,827 +/- 94 per sample) based on a 97% nucleotide sequence identity between reads. Totally 6,082 amplicon sequence variants (672 +/- 131 per sample) were identified in 334 samples. The shareable datasets can be re-used by researchers to assess other rumen bacterial-related biological functions in dairy cows towards the improvement of animal production and health.
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