Evidence map›Paper›PMID 35729510›Full record

ArticleBMC genomics2022

Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data.

Shunjin Zhang, Zhi Yao, Xinmiao Li, Zijing Zhang, Xian Liu, Peng Yang, Ningbo Chen, Xiaoting Xia, Shijie Lyu, Qiaoting Shi and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
15.1field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 53 citations in OpenAlex.

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  12. Selection signatures detection in Nelore, Gir, and Red Sindhi cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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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

16 authors at 3 institutions in 1 country.

Shunjin Zhang *Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Zhi Yao *Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Xinmiao LiKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Zijing ZhangInstitute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou Henan, 450002, China.
Xian LiuHenan Provincial Animal Husbandry General Station, Zhengzhou Henan, 450008, China.
Peng YangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Ningbo ChenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Xiaoting XiaKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Shijie LyuInstitute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou Henan, 450002, China.
Qiaoting ShiInstitute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou Henan, 450002, China.
Eryao WangInstitute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou Henan, 450002, China.
Baorui RuHenan Provincial Animal Husbandry General Station, Zhengzhou Henan, 450008, China.
Yu JiangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Chuzhao LeiKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Hong ChenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China.
Yongzhen HuangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling Shaanxi, 712100, China. hyzsci@nwafu.edu.cn.
Northwest A&F University · CNHenan Academy of Agricultural Sciences · CNShandong Province Animal Husbandry and Veterinary Bureau · CN

Funding

China Agriculture Research System of MOF and MARA No. CARS-37Henan Beef Cattle Industrial Technology System No. S2013-08Science-Technology Foundation for innovation and creativity of Henan Academy of Agricultural Sciences 2020CX09
6 · The paper itself

Abstract

backgroundCrossbreeding is an important way to improve production beef cattle performance. Pinan cattle is a new hybrid cattle obtained from crossing Piedmontese bulls with Nanyang cows. After more than 30 years of cross-breeding, Pinan cattle show a variety of excellent characteristics, including fast growth, early onset of puberty, and good meat quality. In this study, we analyzed the genetic diversity, population structure, and genomic region under the selection of Pinan cattle based on whole-genome sequencing data of 30 Pinan cattle and 169 published cattle genomic data worldwide. 

resultsEstimating ancestry composition analysis showed that the composition proportions for our Pinan cattle were mainly Piedmontese and a small amount of Nanyang cattle. The analyses of nucleotide diversity and linkage disequilibrium decay indicated that the genomic diversity of Pinan cattle was higher than that of European cattle and lower than that of Chinese indigenous cattle. De-correlated composite of multiple selection signals, which combines four different statistics including θπ, CLR, F

conclusionIn this paper, we elucidated the genomic characteristics, ancestry composition, and selective signals related to important economic traits in Pinan cattle. These results will provide the basis for further genetic improvement of Pinan cattle and reference for other hybrid cattle related studies.

Indexed as

Selection, GeneticSexual MaturationAnimalsCattleGenomeGenomicsMalePolymorphism, Single NucleotideWhole Genome SequencingDCMSGenetic diversityPinan cattlePopulation StructureWGS

Identifiers

PMID35729510
PMCPMC9215082
OpenAlexW4283272297

What Socratic holds

Textmetadata
LicenceCC BY
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.