Evidence map›Paper›PMID 30006771›Full record

ReviewMolecular biology reports2018

The application of gene marker-assisted selection and proteomics for the best meat quality criteria and body measurements in Qinchuan cattle breed.

Mohamed E Abd El-Hack, Sameh A Abdelnour, Ayman A Swelum, Muhammad Arif

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Genetic variant of the sheepAnimal biotechnology · 2024
    Article
  9. Integrating targeted genetic markers to genotyping-by-sequencing for an ultimate genotyping tool.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  10. Article
  11. Exploring the SheepAnimals : an open access journal from MDPI · 2024
    Article
  12. Review
  13. Article
  14. Novel polymorphism atAnimal biotechnology · 2023
    Article
  15. Genes · 2023
    Article
  16. Polymorphism of Genes and Their Impact on Beef Quality.Current issues in molecular biology · 2023
    Review
  17. Article
  18. Review
  19. Review
  20. Review
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

4 authors at 2 institutions in 3 countries.

Mohamed E Abd El-HackDepartment of Poultry, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt. m.ezzat@zu.edu.eg.
Sameh A AbdelnourDepartment of Animal Production, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt.
Ayman A SwelumDepartment of Animal Production, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia.
Muhammad ArifDepartment of Animal Sciences, University College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Zagazig University · EGUniversity of Sargodha · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few decades, enhancement of animal productivity has been gaining increasing attention among decisions-makers, politicians, mangers, and breeders, because of the increasing of world population and shortage of natural resources. The selection of high productivity animals is the main goal, through the application of genetic improvement programs. The use of molecular genetics has conferred significant breeding advantages over conventional breeding techniques. In this regard, many economic characteristics are controlled by a small number of multiple gene loci, each of which is responsible for trait diversity and hence they are referred to as quantitative trait loci (QTL). Single-nucleotide polymorphisms (SNPs), which have recently been discovered through DNA sequencing, are considered one of the most useful types of genetic marker. SNPs are found where different nucleotides occur at the same position in the DNA sequence. They are found in both coding and noncoding regions of the genome and are present at one SNP in every 1000 b. Strategies for the identification and application of markers are based on reference to examples of loci that can control various traits. Furthermore, markers for growth, body measurements, and meat quality traits are preferred, because they can be used to predict the performance of animals, via blood samples, in the first few days of animal life. Marker-assisted selection using SNPs, such asSIRT1, SIRT2, LPL, CRTC2, SIX4, UCPs, and ZBTB38as selection criteria of body measurements and meat traits in beef cattle, will be beneficial in selection and breeding programs. The proteomic is a novel marker and a new approache of biotechnology which increases the understanding of the biological processes, besides being a remarkable biomarker that interrelated to growth and meat quality traits. Proteomics is a vigorous tool as usage for deduces molecular processes between quality traits and muscle proteins, which are helpful in analyzing the mechanisms of biochemistry that influence quality. So they could be potential biomarker for some meat quality traits. Among them, Actin, Myosin, Heat shock proteins are used a novel approaches in the field of biotechnology to understand the proteomics changes. This review article highlights the novel findings on the potential use of MAS and proteomics as biomarker for the selection for meat quality and carcass traits in Qinchuan cattle breed.

Indexed as

AllelesAnimal HusbandryAnimalsBase SequenceBreedingCattleFood QualityGene FrequencyGenetic Association StudiesGenetic MarkersGenotypeHaplotypesMeatMeat ProductsPhenotypePolymorphism, Single NucleotideGenetic MarkersCattleGene marker-assistedMeat qualityProteomicsSelection

Identifiers

PMID30006771
OpenAlexW2884673655

What Socratic holds

Textmetadata
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 Socratic graph.