Hyun Sik Kim, Jae-Yun Lee, Tae Woong Whon, Jin-Woo Bae
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引用次数: 0
Abstract
With the help of rumen bacteria, ruminants can feed on indigestible plant materials and produce over 70% of their energy as fatty acids. However, during lactation, ruminants exhibit characteristics of monogastric animals due to an undeveloped rumen; therefore, understanding gut microbiome changes in growing calves is essential. Our understanding of the gut microbiome in growing calves remains limited in large populations with the same diet, breed, and period. Here, we describe 16S rRNA gene amplicon sequencing data from 420 faecal samples, 20 rumen contents, 17 small intestine contents, and 18 large intestine contents collected from 57 healthy, antibiotic-free Korean beef cattle from neonatal to post-pubertal age. Eight 16S rRNA gene amplicon datasets from the host diet samples were obtained. Approximately 148 million raw reads, averaging 153,352 ± 96,050 (mean ± SD) reads per sample, and 51,596 unique amplicon sequence variants (381-368 per sample) were identified in the 483 samples. These shareable datasets can be reused by researchers to assess gut microbiome-related functions in growing calves and improve ruminant production and health.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.