Evidence map›Paper›PMID 38095737›Full record

ArticleBiochemical genetics2024

SSR Marker Acquisition and Application from Transcriptome of Captive Chinese Forest Musk Deer (Moschus berezovskii).

Jing Yang, Weiqiang Luo, Yangyang Geng, Hao Wei, Junjian Wang, Mengxi Gao, Jie Tang, Mengyu Li, Yan Wang, Xingrong Yan

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Jing Yang *Shaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Weiqiang Luo *Shaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Yangyang GengShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Hao WeiShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Junjian WangShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Mengxi GaoShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Jie TangNorthwest Institute of Endangered Zoological Species, Shaanxi Institute of Zoology, 710032, Xi'an, China.
Mengyu LiShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China.
Yan WangNorthwest Institute of Endangered Zoological Species, Shaanxi Institute of Zoology, 710032, Xi'an, China. 1064914397@qq.com.
Xingrong YanShaanxi Key Laboratory for Animal Conservation, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, 710069, Xi'an, China. xingrongyan2007@126.com.
Ministry of Education of the People's Republic of China · CNNorthwest University · CNShaanxi Institute of Zoology · CN

Funding

Key Research and Development Program of Shaanxi Province 2021NY-014National Key Program of Research and Development, Ministry of Science and Technology 2016YFC0503200"One Institute One Brand" Foundation of Shaanxi Academy of Sciences 2018K-01Opening Foundation of Shaanxi Key Laboratory for animal conservation AC2019004
6 · The paper itself

Abstract

Forest musk deer (Moschus berezovskii) is one of the most endangered medicinally important wild animals in the world. Forest musk deer farming is the main way of production of musk. However, the single provenance and lack of genetic information lead to reduced genetic diversity of forest musk deer. Therefore, more SSR markers need to be developed to identify forest musk deer germplasm. In this study, bone marrow derived mesenchymal cells were used to construct cDNA library for transcriptome sequencing. The datasets were de novo assembled and annotated. 9 polymorphic simple sequence repeat (SSR) markers were finally identified and used to detect population genetic diversity. 6.07 Gb clean data were generated using Illumina sequencing technology, and de novo assembled into 138,591 transcripts and 81,553 unigenes. 5,777 simple sequence repeats (SSRs) were identified, in which there were 578 repeating motif types, with mono-nucleotide and tri-nucleotides comprising 55.88% and 25.60%, respectively. 100 primer pairs were designed to validate amplification and polymorphism using DNA from fecal samples. 9 polymorphic SSRs were developed and used to detect population genetic diversity of 122 forest musk deer in 2 farms. The average number of alleles per locus varied from 4 to 15 (average = 8.3). The observed heterozygosity (H

Indexed as

DeerMicrosatellite RepeatsTranscriptomeAnimalsChinaForestsGenetic MarkersGenetic VariationPolymorphism, GeneticGenetic MarkersForest musk deerPopulation geneticsSSRTranscriptome

Identifiers

PMID38095737
OpenAlexW4389742973

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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.