Evidence map›Paper›PMID 30056674›Full record

ArticleAsian-Australasian journal of animal sciences2019

Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing.

Dengying Liu, Zhenliang Chen, Zhe Zhang, Hao Sun, Peipei Ma, Kai Zhu, Guanglei Liu, Qishan Wang, Yuchun Pan

Open access · goldAbstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Novel genotyping assay for a 212-kb deletion from theJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
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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

9 authors at 2 institutions in 2 countries.

Dengying LiuDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Zhenliang ChenDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Zhe ZhangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Hao SunDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Peipei MaDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Kai ZhuShanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China.
Guanglei LiuShanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China.
Qishan WangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Yuchun PanDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Shanghai Jiao Tong University · CNResearch Institute for Cattle Breeding (Czechia) · CZ

Funding

National Natural Science Foundation of China 31672386National Natural Science Foundation of China 31872321
6 · The paper itself

Abstract

objectiveThe Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction.

methodsIn our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA).

resultsThe average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle.

conclusionStructural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.

Indexed as

Genotyping by Genome Reducing and Sequencing (GGRS)MastitisReproductionShanghai HolsteinStructural Variation

Identifiers

PMID30056674
PMCPMC6409473
OpenAlexW2883271389

What OpenQuestion holds

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LicenceCC BY
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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.