Evidence map›Paper›PMID 31798641›Full record

ArticleFrontiers in genetics2019

Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep.

Deyin Zhang, Xiaoxue Zhang, Fadi Li, Chong Li, Yongfu La, Futao Mo, Guoze Li, Yukun Zhang, Xiaolong Li, Qizhi Song and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Functional Regulatory Variant ofAnimals : an open access journal from MDPI · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Animals : an open access journal from MDPI · 2024
    Article
  14. iScience · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Polymorphisms inFrontiers in veterinary science · 2022
    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.

Deyin ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Fadi LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Chong LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Yongfu LaCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Futao MoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Guoze LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Yukun ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Xiaolong LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Qizhi SongCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Yuan ZhaoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Weimin WangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the genetic improvement of livestock and poultry, residual feed intake (RFI) is an important economic trait. However, in sheep, the genetic regulatory mechanisms of RFI are unclear. In the present study, we measured the feed efficiency (FE)-related phenotypes of 137 male Hu lambs, and selected six lambs with very high (n = 3) and very low (n = 3) RFI values and analyzed their liver transcriptomes. A total of 101 differentially expressed genes were identified, of which 40 were upregulated and 61 were downregulated in the low-RFI group compared with that in the high-RFI group. The downregulated genes were mainly concentrated in immune function pathways, while the upregulated genes were mainly involved in energy metabolism pathways. Two differentially expressed genes,

Indexed as

differentially expressed genefeed efficiencyresidual feed intakesheepsingle nucleotide polymorphism

Identifiers

PMID31798641
PMCPMC6878960

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.