Evidence map›Paper›PMID 28823137›Full record

ArticleAsian-Australasian journal of animal sciences2018

Survey of genetic structure of geese using novel microsatellite markers.

Fang-Yu Lai, Po-An Tu, Shih-Torng Ding, Min-Jung Lin, Shen-Chang Chang, En-Chung Lin, Ling-Ling Lo, Pei-Hwa Wang

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Article in Asian-Australasian journal of animal sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic and Phenotypic Characterization of Domestic Geese (Animals : an open access journal from MDPI · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Fang-Yu LaiDepartment of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University, Taipei 10672, Taiwan.
Po-An TuDepartment of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University, Taipei 10672, Taiwan.
Shih-Torng DingDepartment of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University, Taipei 10672, Taiwan.
Min-Jung LinChunghua Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan, Changhua County 521, Taiwan.
Shen-Chang ChangChunghua Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan, Changhua County 521, Taiwan.
En-Chung LinDepartment of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University, Taipei 10672, Taiwan.
Ling-Ling LoDepartment of Animal Science, Chinese Culture University, Yang-Ming-Shan, Taipei 11114, Taiwan.
Pei-Hwa WangDepartment of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University, Taipei 10672, Taiwan.ORCID 0000-0003-4405-3166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to create a set of microsatellite markers with high polymorphism for the genetic monitoring and genetic structure analysis of local goose populations.

methodsNovel microsatellite markers were isolated from the genomic DNA of white Roman geese using short tandem repeated probes. The DNA segments, including short tandem repeats, were tested for their variability among four populations of geese from the Changhua Animal Propagation Station (CAPS). The selected microsatellite markers could then be used to monitor genetic variability and study the genetic structures of geese from local geese farms.

results14 novel microsatellite loci were isolated. In addition to seven known loci, two multiplex sets were constructed for the detection of genetic variations in geese populations. The average of allele number, the effective number of alleles, the observed heterozygosity, the expected heterozygosity, and the polymorphism information content were 11.09, 5.145, 0.499, 0.745, and 0.705, respectively. The results of analysis of molecular variance and principal component analysis indicated a contracting white Roman cluster and a spreading Chinese cluster. In white Roman populations, the CAPS populations were depleted to roughly two clusters when K was set equal to 6 in the Bayesian cluster analysis. The founders of private farm populations had a similar genetic structure. Among the Chinese geese populations, the CAPS populations and private populations represented different clads of the phylogenetic tree and individuals from the private populations had uneven genetic characteristics according to various analyses.

conclusionBased on this study's analyses, we suggest that the CAPS should institute a proper breeding strategy for white Roman geese to avoid further clustering. In addition, for preservation and stable quality, the Chinese geese in the CAPS and the aforementioned proper breeding scheme should be introduced to geese breeders.

Indexed as

GeeseGenetic Structure of PopulationMicrosatellite Markers

Identifiers

PMID28823137
PMCPMC5767498

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