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Ecology and population structure of some indigenous geese breeds and the impact of four GH and Pit-1 SNPs on their body weights

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Abstract

This study aims to determine the genetic correlation using nine microsatellite markers to reconstruct the history of some indigenous geese populations, along with the use of four single nucleotides polymorphisms (SNPs) to investigate their correlation with the geese body weight. Microsatellite markers are mainly used to provide updated information on changes in the population structure of geese breeds. The eight goose populations reported 24% private alleles specific for each population. Expected heterozygosity (He) ranged from 0.46 to 0.70. Three breeds were reported highly polymorphic. Inbreeding coefficient (Fis) revealed that three breeds were in a minimum level of extinction danger, while one breed was in a potential endangered situation. Phylogenetic tree, principal component analysis (PCA), and self-organizing map (SOM) were constructed using MATLAB to study the population distribution and relationship among these breeds. Four SNPs were detected, two SNPs at GH gene exon (C123T and C158T), and two SNPs at Pit-1 gene exons (G161A and T282G). Four SNP loci were reported to have a significant effect on geese body weight. They were CT genotype for C123T locus, TT genotype for C158T locus, GG genotype for G161A locus, and GG genotype for T282G locus.

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Abbreviations

CZ:

Czech breed

Fis:

inbreeding coefficient

He:

expected heterozygosity

Ho:

observed heterozygosity

HY1:

commercial hybrid of Toulouse goose and L1

HY2:

commercial hybrid of Toulouse goose and L2

L1:

local Egyptian breed of black color

L2:

local Egyptian breed of grey color

Ne:

effective numbers of alleles

PCA:

principal component analysis

PCR:

polymerase chain reaction

PIC:

polymorphism information content

POM:

Pomeranian breed

SNPs:

single nucleotides polymorphisms

SOM:

self-organized map

STRs:

short tandem repeats

WH:

White Hungarian breed

ZH:

Zhedong White breed

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Acknowledgements

The authors thank Dr. Alwasella Abdallah, Agricultural Research Corporation, Wad Medani, Sudan, for providing help with MATLAB population structure.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Funding

The authors thank the College of Animal Science and Technology, Yangzhou University, China, for providing doctoral financial support.

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Authors and Affiliations

  1. College of Animal Science and Technology, Yangzhou University , Yangzhou , 225009 , China

    Hebatallah Abdel Moniem & Guohong Chen

  2. Department of Animal Wealth Development, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt

    Hebatallah Abdel Moniem

  3. Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt

    Mohamed Sayed Yusuf

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  1. Hebatallah Abdel Moniem
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  2. Mohamed Sayed Yusuf
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Hebatallah Abdel Moniem; diet formulation was performed by Mohamed Sayed Yusuf and under supervision of Guohong Chen. The first draft of the manuscript was written by Hebatallah Abdel Moniem, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Guohong Chen .

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All procedures involving animals were performed in accordance with the Regulations of the Administration of Affairs Concerning Experimental Animals (China, 1988) and the Standards for the Administration of Experimental Practices (Jiangsu, China, 2008).

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Not applicable, as this study do not include human subject.

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The authors declare no competing interests.

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Responsible Editor: Mohamed M. Abdel-Daim

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Abdel Moniem, H., Yusuf , M.S. & Chen , G. Ecology and population structure of some indigenous geese breeds and the impact of four GH and Pit-1 SNPs on their body weights. Environ Sci Pollut Res 28, 37603–37615 (2021). https://doi.org/10.1007/s11356-021-13402-x

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