Evidence map›Paper›PMID 40593891›Full record

ArticleScientific data2025

Whole-Genome Sequencing of 54 Dengchuan Cattle (Bos taurus) from Southwest China.

Kun-Jiang Feng, Mei Yang, Yong-Yan Liu, Zong-You Huang, Ya-Man Li, Ling-Yue Wen, Heng Xiao, Shanyuan Chen

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Kun-Jiang Feng *School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Mei Yang *School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Yong-Yan Liu *School of Life Sciences, Yunnan University, Kunming, 650500, China.
Zong-You HuangSchool of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Ya-Man LiSchool of Life Sciences, Yunnan University, Kunming, 650500, China.
Ling-Yue WenSchool of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Heng XiaoSchool of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Shanyuan ChenSchool of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China. chensy@ynu.edu.cn.ORCID 0000-0002-9524-9428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestic cattle (Bos taurus) play a significant role in human society as they provide abundant food resources and contribute to the development of agriculture and traditional culture. Dengchuan cattle, a local breed from Yunnan, Southwest China, are known for their high-quality milk and are at risk of extinction due to crossbreeding. To preserve the superior genetic resources of Dengchuan cattle, this study conducted whole-genome sequencing of 54 Dengchuan cattle using blood DNA samples, generating approximately 3.56 TB of clean data with an average sequencing depth of 32.78X. The sequencing data were aligned to the bovine reference genome (ARS-UCD2.0), achieving an average alignment rate of 99.85%. A total of 9,950,420 SNPs and 2,476,207 indels were detected using variant calling workflow. These data were utilized to characterize genomic profile of this unique cattle breed. The data generated in this study can be incorporated into the global cattle genomic diversity database, providing valuable information for comparative studies on cattle.

Indexed as

GenomeWhole Genome SequencingAnimalsCattleChinaINDEL MutationPolymorphism, Single Nucleotide

Identifiers

PMID40593891
PMCPMC12216714

What Socratic holds

Textmetadata
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 Socratic graph.