Evidence map›Paper›PMID 41311030›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2026

The chromosome-level genome of Chinese indicine cattle breed provides insights into bovine adaptation and immunity.

Fei Ge, Yingwei Guo, Lei Xu, Wai Yee Low, Haoran Ma, Qian Li, Zezhao Wang, Bo Zhu, Lingyang Xu, Xue Gao and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Fei GeState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yingwei GuoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Lei XuAnhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
Wai Yee LowThe Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia.
Haoran MaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Qian LiAnhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
Zezhao WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Bo ZhuState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Lingyang XuState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Xue GaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Lupei ZhangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.ORCID 0000-0001-7701-2331
Huijiang GaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.ORCID 0000-0002-5502-2528
Junya LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.ORCID 0000-0001-8051-050X
Yan ChenState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.

Funding

Biological Breeding-National Science and Technology Major Project 2022ZD04017China Agricultural Research SystemNational Natural Science Foundation of China 32472860
6 · The paper itself

Abstract

Genomic research is currently undergoing a paradigm shift from reliance on a single reference sequence to the use of breed-specific genomes. Chinese indicine cattle (Bos taurus indicus), characterized by their notable tick resistance and heat tolerance, display extensively genetic diversity than taurine. Here, we generated a chromosome level genome assembly of Chinese indicine cattle, achieving a contiguity N50 of 90.92 Mb and an overall size of 2.91 Gb, utilizing PacBio high-fidelity (HiFi) sequencing complemented by Hi-C sequencing technology. The assembly is characterized by near-complete chromosomes, telomeres, and less gaps. Utilizing this highly quality assembly, we explored the phylogenetic relationship and speciation time. The gene family and selection signatures analyses indicated that candidate genes and biosynthetic pathways potentially contributing to disease immunity and thermotolerance of indicine cattle. Altogether, this study enriches the bovine pangenome repository and advances our understanding of the complex evolutionary patterns and distinctive adaptation traits of Chinese indicine cattle.

Indexed as

Adaptation, PhysiologicalGenomeAnimalsCattleChromosomesPhylogenybovine genomeevolutionheat toleranceimmunityindicine

Identifiers

PMID41311030
PMCPMC12895351

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.