Evidence map›Paper›PMID 41261104›Full record

ArticleScientific data2025

High-quality chromosome-scale genome assembly and annotation of Taohongling Sika deer (Cervus nippon kopschi).

Qiang Yang, Yongtao Xu, Chang Xiao, Jie Dai, Jianwen Zhan, Weiwei Zhang

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

6 authors.

Qiang YangCollege of Forestry, Wildlife Conservation Research Center, Jiangxi Agricultural University, Nanchang, 330045, China. yangqiangjxau@outlook.com.ORCID 0000-0002-9890-263X
Yongtao XuCollege of Forestry, Wildlife Conservation Research Center, Jiangxi Agricultural University, Nanchang, 330045, China.
Chang XiaoCollege of Forestry, Wildlife Conservation Research Center, Jiangxi Agricultural University, Nanchang, 330045, China.
Jie DaiTaohongling National Nature Reserve of Sika Deer, Pengze, 332700, China.
Jianwen ZhanTaohongling National Nature Reserve of Sika Deer, Pengze, 332700, China.
Weiwei ZhangCollege of Forestry, Wildlife Conservation Research Center, Jiangxi Agricultural University, Nanchang, 330045, China. zhangweiwei_nefu@163.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32302714
6 · The paper itself

Abstract

Taohongling Sika deer (Cervus nippon kopschi) is classified as a national first-class protected wild animal, and the absence of a high-quality chromosome-scale genome has hindered in-depth studies on its molecular mechanism of adaptive evolution, elucidation of unique biological traits, and identification of its genetic origin. To address this limitation, we finally assembled a 2.87 Gb genome using Pacbio and Illumina sequencing, achieving a scaffold N50 size of 85.86 Mb. Subsequently, we employed Hi-C techniques to assign 97.23% of the sequences from the assembled contigs or scaffolds onto 34 chromosomes. Upon completion of genome annotation, it was determined that repetitive sequences accounted for 46.19%, with a total prediction of 22,890 protein-coding genes, of which 97.16% were functionally annotated. In addition, 63,473 noncoding RNAs were identified. The high-quality chromosome-scale genome obtained in our study can provide a valuable molecular genetic basis for systematic research into the adaptive evolution and genetic characteristics of the Taohongling Sika deer (Cervus nippon kopschi).

Indexed as

DeerGenomeAnimalsMolecular Sequence AnnotationRNA, UntranslatedRNA, Untranslated

Identifiers

PMID41261104
PMCPMC12630773

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.