Evidence map›Paper›PMID 37856056›Full record

ArticleJournal, genetic engineering & biotechnology2023

Genome-wide in silico characterization, validation, and cross-species transferability of microsatellite markers in Mallard and Muscovy ducks.

Hosam Safaa, Rawan Khaled, Suzy Isaac, Rofida Mostafa, Mohamed Ragab, Dalia A A Elsayed, Mostafa Helal

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Genome-Wide In Silico Analysis of Microsatellite Loci in Rabbits.Animals : an open access journal from MDPI · 2024
    Article
4 · The record

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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.

Hosam SafaaDepartment of Biology, College of Science, University of Bisha, P.O. Box 551, 61922, Bisha, Saudi Arabia. Hosam.safaa@agr.cu.edu.eg.
Rawan KhaledBiotechnology Program, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
Suzy IsaacBiotechnology Program, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
Rofida MostafaBiotechnology Program, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
Mohamed RagabPoultry Production Department, Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh, Egypt.
Dalia A A ElsayedDepartment of Poultry Breeding, Agriculture Research Center, Animal Production Research Institute, Dokki, Giza, Egypt.
Mostafa HelalDepartment of Animal Production, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt. Mostafa.helal@agr.cu.edu.eg.ORCID http://orcid.org/0000-0002-8005-9023

Funding

University of Bisha UB-GRP-7-1444
6 · The paper itself

Abstract

backgroundMicrosatellites are important markers for livestock including ducks. The development of microsatellites is expensive and labor-intensive. Meanwhile, the in silico approach for mining for microsatellites became a practicable alternative. Therefore, the current study aimed at comparing whole-genome and chromosome-wise microsatellite mining approaches in Muscovy and Mallard ducks and testing the transferability of markers between them. The GMATA software was used for the in silico study, and validation was performed using 26 primers.

resultsThe total number of the detected microsatellites using chromosome-wise was 250,053 and 226,417 loci compared to 260,059 and 238,462 loci using whole genome in Mallards and Muscovies. The frequencies of different motifs had similar patterns using the two approaches. Dinucleotide motifs were predominant (> 50%) in both Mallards and Muscovies. The amplification of the genomes revealed an average number of alleles of 5.08 and 4.96 in Mallards and Muscovies. One locus was monographic in Mallards, and two were monomorphic in Muscovies. The average expected heterozygosity was higher in Muscovy than in Mallards (0.45 vs. 0.43) with no significant difference between the two primer sets, which indicated the usefulness of cross-species amplification of different primers.

conclusionThe current study developed a whole-genome SSR panel for ducks for the first time, and the results could prove that using chromosome-wise mining did not generate different results compared to the whole-genome approach.

Indexed as

In silicoMallard duckMicrosatelliteMuscovy duckSSR

Identifiers

PMID37856056
PMCPMC10587045

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