Evidence map›Paper›PMID 32240167›Full record

ArticlePloS one2020

Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers.

Richard Habimana, Tobias Otieno Okeno, Kiplangat Ngeno, Sylvere Mboumba, Pauline Assami, Anique Ahou Gbotto, Christian Tiambo Keambou, Kizito Nishimwe, Janvier Mahoro, Nasser Yao

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Association ofAnimals : an open access journal from MDPI · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Genetic and physiological variation in two strains of Japanese quail.Journal, genetic engineering & biotechnology · 2021
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Richard HabimanaAnimal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda.ORCID 0000-0002-5166-630X
Tobias Otieno OkenoDepartment of Animal Science, Animal Breeding and Genomics Group, Egerton University, Nakuru, Kenya.
Kiplangat NgenoDepartment of Animal Science, Animal Breeding and Genomics Group, Egerton University, Nakuru, Kenya.
Sylvere MboumbaFaculty of Agronomy and Biotechnologies, Masuku University of Science and Techniques, Franceville, Gabon.
Pauline AssamiBiosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya.
Anique Ahou GbottoLaboratoire de genomique Fonctionnelle et Amélioration Génétique Université Nangui Abrogoua, Abidjan, Cote d'Ivoire.
Christian Tiambo KeambouBiosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya.
Kizito NishimweAnimal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda.
Janvier MahoroAnimal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda.
Nasser YaoBiosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rwanda has about 4.5 million of indigenous chicken (IC) that are very low in productivity. To initiate any genetic improvement programme, IC needs to be accurately characterized. The key purpose of this study was to ascertain the genetic diversity of IC in Rwanda using microsatellite markers. Blood samples of IC sampled from 5 agro-ecological zones were collected from which DNA was extracted, amplified by PCR and genotyped using 28 microsatellite markers. A total of 325 (313 indigenous and 12 exotic) chickens were genotyped and revealed a total number of 305 alleles varying between 2 and 22 with a mean of 10.89 per locus. One hundred eighty-six (186) distinct alleles and 60 private alleles were also observed. The frequency of private alleles was highest in samples from the Eastern region, whereas those from the North West had the lowest. The influx of genes was lower in the Eastern agro-ecological zone than the North West. The mean observed heterozygosity was 0.6155, whereas the average expected heterozygosity was 0.688. The overall inbreeding coefficient among the population was 0.040. Divergence from the Hardy-Weinberg equilibrium was significant (p<0.05) in 90% of loci in all the populations. The analysis of molecular variance revealed that about 92% of the total variation originated from variation within populations. Additionally, the study demonstrated that IC in Rwanda could be clustered into four gene groups. In conclusion, there was considerable genetic diversity in IC in Rwanda, which represents a crucial genetic resource that can be conserved or optimized through genetic improvement.

Indexed as

BreedingPopulation SurveillanceAllelesAnimalsChickensGenetic VariationGenotypeHumansMicrosatellite RepeatsRwanda

Identifiers

PMID32240167
PMCPMC7117670

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Registered trials

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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.