Evidence map›Paper›PMID 29672513›Full record

ArticlePloS one2018

RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population.

Shaohua Yang, Ying Wang, Lulu Wang, Zhaoyuan Shi, Xiaoqian Ou, Dan Wu, Xinmiao Zhang, Hao Hu, Jia Yuan, Wei Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

12 authors at 1 institution in 1 country.

Shaohua YangCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.ORCID 0000-0003-4000-1748
Ying WangCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Lulu WangCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Zhaoyuan ShiCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Xiaoqian OuCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Dan WuCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Xinmiao ZhangCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Hao HuCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Jia YuanCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Wei WangAgricultural Products Quality and Safety Supervision and Management Bureau, Xuancheng, Anhui, P. R. China.
Fuhu CaoCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Guoqing LiuCollege of Food Science and Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China.
Hefei University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty acids metabolic products determine meat quality in chickens. Identifying genes associated with fatty acids composition could provide valuable information for the complex genetic networks of genes with underlying variations in fatty acids synthesis. RNA sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the thigh muscle tissue of 6 Huangshan Black Chickens with 3 extremely high and low phenotypic values for percentage of polyunsaturated fatty acids (PUFAs). In total, we obtained 41,139,108-44,901,729 uniquely mapped reads, which covered 74.15% of the current annotated transcripts including 18964 mRNA transcripts, across all the six thigh muscle tissue samples. Of these, we revealed 274 differentially expressed genes (DEGs) with a highly significant correlation with polyunsaturated fatty acids percentage between the comparison groups based on the ratio of PUFA/SFA. Gene ontology and pathway analysis indicated that the DEGs were enriched in particular biological processes affecting fatty acids metabolism, biosynthesis of unsaturated fatty acids (USFAs), and cell junction-related pathways. Integrated interpretation of differential gene expression and formerly reported quantitative trait loci (QTL) demonstrated that FADS2, DCN, FRZB, OGN, PRKAG3, LHFP, CHCHD10, CYTL1, FBLN5, and ADGRD1 are the most promising candidate genes affecting polyunsaturated fatty acids percentage.

Indexed as

Gene Expression RegulationAnimalsChickensComputational BiologyFatty Acids, UnsaturatedGas Chromatography-Mass SpectrometryGene OntologyMetabolomeMetabolomicsMuscle, SkeletalReproducibility of ResultsSequence Analysis, RNAFatty Acids, Unsaturated

Identifiers

PMID29672513
PMCPMC5908183
OpenAlexW2801683588

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.