Evidence map›Paper›PMID 30145876›Full record

ArticleAsian-Australasian journal of animal sciences2019

Genetic diversity of Indonesian cattle breeds based on microsatellite markers.

Paskah Partogi Agung, Ferdy Saputra, Moch Syamsul Arifin Zein, Ari Sulistyo Wulandari, Widya Pintaka Bayu Putra, Syahruddin Said, Jakaria Jakaria

Abstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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

7 authors.

Paskah Partogi AgungResearch Center for Biotechnology-Indonesian Institute of Sciences, Cibinong 16911, West Java, Indonesia.
Ferdy SaputraLaboratory of Genetics Indonesia, Cikarang Technopark, Bekasi, West Java 17550, Indonesia.
Moch Syamsul Arifin ZeinResearch Center for Biology-Indonesian Institute of Sciences, Cibinong 16911, West Java, Indonesia.
Ari Sulistyo WulandariResearch Center for Biotechnology-Indonesian Institute of Sciences, Cibinong 16911, West Java, Indonesia.
Widya Pintaka Bayu PutraResearch Center for Biotechnology-Indonesian Institute of Sciences, Cibinong 16911, West Java, Indonesia.
Syahruddin SaidResearch Center for Biotechnology-Indonesian Institute of Sciences, Cibinong 16911, West Java, Indonesia.
Jakaria JakariaFaculty of Animal Science, Bogor Agricultural University, Darmaga Campus, Bogor 16680, Indonesia.

Funding

Center for Biotechnology-Indonesian Institute #934/F/2014
6 · The paper itself

Abstract

objectiveThis research was conducted to study the genetic diversity in several Indonesian cattle breeds using microsatellite markers to classify the Indonesian cattle breeds.

methodsA total of 229 DNA samples from of 10 cattle breeds were used in this study. The polymerase chain reaction process was conducted using 12 labeled primers. The size of allele was generated using the multiplex DNA fragment analysis. The POPGEN and CERVUS programs were used to obtain the observed number of alleles, effective number of alleles, observed heterozygosity value, expected heterozygosity value, allele frequency, genetic differentiation, the global heterozygote deficit among breeds, and the heterozygote deficit within the breed, gene flow, Hardy-Weinberg equilibrium, and polymorphism information content values. The MEGA program was used to generate a dendrogram that illustrates the relationship among cattle population. Bayesian clustering assignments were analyzed using STRUCTURE program. The GENETIX program was used to perform the correspondence factorial analysis (CFA). The GENALEX program was used to perform the principal coordinates analysis (PCoA) and analysis of molecular variance. The principal component analysis (PCA) was performed using adegenet package of R program.

resultsA total of 862 alleles were detected in this study. The INRA23 allele 205 is a specific allele candidate for the Sumba Ongole cattle, while the allele 219 is a specific allele candidate for Ongole Grade. This study revealed a very close genetic relationship between the Ongole Grade and Sumba Ongole cattle and between the Madura and Pasundan cattle. The results from the CFA, PCoA, and PCA analysis in this study provide scientific evidence regarding the genetic relationship between Banteng and Bali cattle. According to the genetic relationship, the Pesisir cattle were classified as Bos indicus cattle.

conclusionAll identified alleles in this study were able to classify the cattle population into three clusters i.e. Bos taurus cluster (Simmental Purebred, Simmental Crossbred, and Holstein Friesian cattle); Bos indicus cluster (Sumba Ongole, Ongole Grade, Madura, Pasundan, and Pesisir cattle); and Bos javanicus cluster (Banteng and Bali cattle).

Indexed as

Cattle BreedGenetic DiversityIndonesianMicrosatellite

Identifiers

PMID30145876
PMCPMC6409462

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.