Evidence map›Paper›PMID 34535071›Full record

ArticleBMC genomic data2021

Development and validation of a 1 K sika deer (Cervus nippon) SNP Chip.

Huanhuan Fan, Tianjiao Wang, Yang Li, Huitao Liu, Yimeng Dong, Ranran Zhang, Hongliang Wang, Liyuan Shang, Xiumei Xing

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC genomic data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 1 country.

Huanhuan Fan *Key Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Tianjiao Wang *Key Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yang LiKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Huitao LiuKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yimeng DongKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Ranran ZhangKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Hongliang WangKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Liyuan ShangJilin Animal Husbandry and Veterinary Research Institute Changchun, Changchun, 130112, China.
Xiumei XingKey Laboratory of Molecular Biology of Special Economic Animals, Institute of Special Products, Chinese Academy of Agricultural Sciences, Changchun, 130112, China. xingxiumei2004@126.com.
Institute of Special Animal and Plant Sciences · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina is the birthplace of the deer family and the country with the most abundant deer resources. However, at present, China's deer industry faces the problem that pure sika deer and hybrid deer cannot be easily distinguished. Therefore, the development of a SNP identification chip is urgently required.

resultsIn this study, 250 sika deer, 206 red deer, 23 first-generation hybrid deer (F1), 20 s-generation hybrid deer (F2), and 20 third-generation hybrid deer (F3) were resequenced. Using the chromosome-level sika deer genome as the reference sequence, mutation detection was performed on all individuals, and a total of 130,306,923 SNP loci were generated. After quality control filtering was performed, the remaining 31,140,900 loci were confirmed. From molecular-level and morphological analyses, the sika deer reference population and the red deer reference population were established. The Fst values of all SNPs in the two reference populations were calculated. According to customized algorithms and strict screening principles, 1000 red deer-specific SNP sites were finally selected for chip design, and 63 hybrid individuals were determined to contain red deer-specific SNP loci. The results showed that the gene content of red deer gradually decreased in subsequent hybrid generations, and this decrease roughly conformed to the law of statistical genetics. Reaction probes were designed according to the screening sites. All candidate sites met the requirements of the Illumina chip scoring system. The average score was 0.99, and the MAF was in the range of 0.3277 to 0.3621. Furthermore, 266 deer (125 sika deer, 39 red deer, 56 F1, 29 F2,17 F3) were randomly selected for 1 K SNP chip verification. The results showed that among the 1000 SNP sites, 995 probes were synthesized, 4 of which could not be typed, while 973 loci were polymorphic. PCA, random forest and ADMIXTURE results showed that the 1 K sika deer SNP chip was able to clearly distinguish sika deer, red deer, and hybrid deer and that this 1 K SNP chip technology may provide technical support for the protection and utilization of pure sika deer species resources.

conclusionWe successfully developed a low-density identification chip that can quickly and accurately distinguish sika deer from their hybrid offspring, thereby providing technical support for the protection and utilization of pure sika deer germplasm resources.

Indexed as

Polymorphism, Single NucleotideAnimal Identification SystemsAnimalsChinaDeerGenomeHigh-Throughput Nucleotide SequencingOligonucleotide Array Sequence AnalysisPhylogenyHybrid deerIdentificationRed deerSika deerSNP chip

Identifiers

PMID34535071
PMCPMC8447661
OpenAlexW3200457428

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.