Evidence map›Paper›PMID 32131721›Full record

ArticleBMC genomics2020

Insight into unique somitogenesis of yak (Bos grunniens) with one additional thoracic vertebra.

Yu Wang, Haoyang Cai, Xiaolin Luo, Yi Ai, Mingfeng Jiang, Yongli Wen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Association ofGenes · 2022
    Article
  9. The adaptive strategies of yaks to live in the Asian highlands.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2022
    Review
  10. Multi-Thoracolumbar Variations andAnimals : an open access journal from MDPI · 2022
    Article
  11. Article
  12. 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

6 authors at 4 institutions in 1 country.

Yu WangCollege of Life Science and Technology, Southwest Minzu University, Chengdu, 610041, Sichuan, China.
Haoyang CaiCenter of Growth, Metabolism, and Aging, Key Laboratory of Bio-Resources and Eco-Environment, College of Life Sciences, Sichuan University, Chengdu, 610064, Sichuan, China.
Xiaolin LuoSichuan Academy of Grassland Sciences, Chengdu, Sichuan, China.
Yi AiKey Laboratory of Sichuan Province for Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation, Chengdu, 610041, China.
Mingfeng JiangCollege of Life Science and Technology, Southwest Minzu University, Chengdu, 610041, Sichuan, China. mingfengjiang@vip.sina.com.ORCID http://orcid.org/0000-0003-1197-9990
Yongli WenKey Laboratory of Sichuan Province for Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation, Chengdu, 610041, China. 66550344@qq.com.
Southwest Minzu University · CNSichuan Academy Of Social Sciences · CNSichuan University · CNState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation · CN

Funding

National Key Technology Support Program 2014BAD13B03National Natural Science Foundation of China 31172198Sichuan Science and Technology Program 2019YFH0035
6 · The paper itself

Abstract

backgroundThe yak is a species of livestock which is crucial for local communities of the Qinghai-Tibet Plateau and adjacent regions and naturally owns one more thoracic vertebra than cattle. Recently, a sub-population of yak termed as the Jinchuan yak has been identified with over half its members own a thoracolumbar vertebral formula of T15L5 instead of the natural T14L5 arrangement. The novel T15L5 positioning is a preferred genetic trait leading to enhanced meat and milk production. Selective breeding of this trait would have great agricultural value and exploration of the molecular mechanisms underlying this trait would both accelerate this process and provide us insight into the development and regulation of somitogenesis.

resultsHere we investigated the genetic background of the Jinchuan yak through resequencing fifteen individuals, comprising five T15L5 individuals and ten T14L5 individuals with an average sequencing depth of > 10X, whose thoracolumbar vertebral formulae were confirmed by anatomical observation. Principal component analysis, linkage disequilibrium analysis, phylogenetic analysis, and selective sweep analysis were carried out to explore Jinchuan yak's genetic background. Three hundred and thirty candidate markers were identified as associated with the additional thoracic vertebrae and target sequencing was used to validate seven carefully selected markers in an additional 51 Jinchuan yaks. The accuracies of predicting 15 thoracic vertebrae and 20 thoracolumbar vertebrae with these 7 markers were 100.00 and 33.33% despite they both could only represent 20% of all possible genetic diversity. Two genes, PPP2R2B and TBLR1, were found to harbour the most candidate markers associated with the trait and likely contribute to the unique somitic number and identity according to their reported roles in the mechanism of somitogenesis.

conclusionsOur findings provide a clear depiction of the Jinchuan yak's genetic background and a solid foundation for marker-assistant selection. Further exploitation of this unique population and trait could be promoted with the aid of our genomic resource.

Indexed as

Quantitative Trait LociAnimalsBreedingCattleGenetic HeterogeneityLinkage DisequilibriumPhenotypePhylogenySomitesThoracic VertebraeTibetWhole Genome SequencingMarker-assisted selectionMolecular breedingPlateau adaptationPopulation geneticsSomitogenesisThe Jinchuan yak

Identifiers

PMID32131721
PMCPMC7057515
OpenAlexW3010391971

What OpenQuestion 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 OpenQuestion graph.