Evidence map›Paper›PMID 40038317›Full record

ArticleScientific data2025

Assembly and maturation of calf gut microbiome from neonate to post-puberty.

Hyun Sik Kim, Jae-Yun Lee, Tae Woong Whon, Jin-Woo Bae

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hyun Sik Kim *Department of Biology, Kyung Hee University, Seoul, 02447, Republic of Korea.ORCID http://orcid.org/0000-0002-2786-4701
Jae-Yun Lee *Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, 02447, Republic of Korea.
Tae Woong WhonKimchi Functionality Research Group, World Institute of Kimchi, Gwangju, 61755, Republic of Korea. twwhon@gmail.com.
Jin-Woo BaeDepartment of Biology, Kyung Hee University, Seoul, 02447, Republic of Korea. baejw@khu.ac.kr.ORCID http://orcid.org/0000-0001-6433-5270

Funding

Ministry of Food and Drug Safety (MFDS) 22213MFDS537National Research Foundation of Korea (NRF) 2020R1A2C3012797National Research Foundation of Korea (NRF) RS-2021-NR061913National Research Foundation of Korea (NRF) RS-2023-00227274World Institute of Kimchi (WIK) KE2401-1-1
6 · The paper itself

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.

Indexed as

Gastrointestinal MicrobiomeAnimalsAnimals, NewbornCattleFecesRNA, Ribosomal, 16SRumenRNA, Ribosomal, 16S

Identifiers

PMID40038317
PMCPMC11880526

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.