Kinship analysis and pedigree reconstruction by RAD sequencing in cattle

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    Editors Assessment:

    RAD-Seq (Restriction-site-associated DNA sequencing) is a cost-effective method for single nucleotide polymorphism (SNP) discovery and genotyping. In this study the authors performed a kinship analysis and pedigree reconstruction for two different cattle breeds (Angus and Xiangxi yellow cattle). A total of 975 cattle, including 923 offspring with 24 known sires and 28 known dams, were sampled and subjected to SNP discovery and genotyping using RAD-Seq. Producing a SNP panel with 7305 SNPs capturing the maximum difference between paternal and maternal genome information, and being able to distinguish between the F1 and F2 generation with 90% accuracy. Peer review helped highlight better the practical applications of this work. The combination of the efficiency of RNA-seq and advances in kinship analysis here can helpfully help improve breed management, local resource utilization, and conservation of livestock.

    This evaluation refers to version 1 of the preprint

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Abstract

Kinship and pedigree, used for estimating inbreeding, heritability, selection, and gene flow, are useful for breeding and animal conservation. However, as the size of crossbred populations increases, inaccurate generation and parentage assignment in livestock farms increase. Restriction-site-associated DNA sequencing is a cost-effective platform for single nucleotide polymorphism (SNP) discovery and genotyping. Here, we performed a kinship analysis and pedigree reconstruction for Angus and Xiangxi yellow cattle. A total of 975 cattle, including 923 offspring with 24 known sires and 28 known dams, were sampled and subjected to SNP discovery and genotyping. The identified SNP panel included 7,305 SNPs capturing the maximum difference between paternal and maternal genome information, allowing us to distinguish F1 from F2 generations with 90% accuracy. In conclusion, we provided a low-cost and efficient SNP panel for kinship analyses and the improvement of local genetic resources, which are valuable for breed improvement, local resource utilization, and conservation.

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  1. Editors Assessment:

    RAD-Seq (Restriction-site-associated DNA sequencing) is a cost-effective method for single nucleotide polymorphism (SNP) discovery and genotyping. In this study the authors performed a kinship analysis and pedigree reconstruction for two different cattle breeds (Angus and Xiangxi yellow cattle). A total of 975 cattle, including 923 offspring with 24 known sires and 28 known dams, were sampled and subjected to SNP discovery and genotyping using RAD-Seq. Producing a SNP panel with 7305 SNPs capturing the maximum difference between paternal and maternal genome information, and being able to distinguish between the F1 and F2 generation with 90% accuracy. Peer review helped highlight better the practical applications of this work. The combination of the efficiency of RNA-seq and advances in kinship analysis here can helpfully help improve breed management, local resource utilization, and conservation of livestock.

    This evaluation refers to version 1 of the preprint

  2. AbstractKinship and pedigree information, used for estimating inbreeding, heritability, selection, and gene flow, is useful for breeding and animal conservation. However, as the size of the crossbred population increases, inaccurate generation and parentage recoding in livestock farms increases. Restriction-site-associated DNA sequencing (RAD-Seq) is a cost-effective platform for single nucleotide polymorphism (SNP) discovery and genotyping. Here, we performed a kinship analysis and pedigree reconstruction for Angus and Xiangxi yellow cattle, which benefit from good meat quality and yields, providing a basis for livestock management. A total of 975 cattle, including 923 offspring with 24 known sires and 28 known dams, were sampled and subjected to SNP discovery and genotyping. The identified SNPs panel included 7305 SNPs capturing the maximum difference between paternal and maternal genome information allowing us to distinguish between the F1 and F2 generation with 90% accuracy. In addition, parentage assignment software based on different strategies verified that the cross-assignments. In conclusion, we provided a low-cost and efficient SNP panel for kinship analyses and the improvement of local genetic resources, which are valuable for breed improvement, local resource utilization, and conservation.

    This work has been published in GigaByte Journal under a CC-BY 4.0 license (https://doi.org/10.46471/gigabyte.131), and has published the reviews under the same license. These are as follows.

    Reviewer 1. Liyun wan

    Is there sufficient detail in the methods and data-processing steps to allow reproduction?

    The detailed parameters for the SNP and InDel calling should be described to allow reproduction.

    Additional Comments:

    This research provides valuable insights into the use of RAD-Seq to kinship analysis and pedigree reconstruction, which is useful for breeding and animal conservation purposes. Overall, the study is well-conducted and the findings are relevant. However, there are a few aspects that require attention before the manuscript can be considered for publication. Please address the following points:

    1. Provide practical applications: Highlight the practical applications of your research in livestock management, breed improvement, local resource utilization, and conservation. Discuss how the low-cost and efficient SNP panel can contribute to these areas and provide suggestions for further research or implementation.
    2. Language and clarity: Review the manuscript for clarity, grammar, and sentence structure. Ensure that all key terms and concepts are defined and explained to facilitate understanding for a broad readership. Once these revisions have been made, I believe the manuscript will be much stronger and suitable for publication.

    Reviewer 2. Mohammad Bagher Zandi

    Is the language of sufficient quality?

    Yes. It was great.

    Are all data available and do they match the descriptions in the paper?

    Yes. The raw sequencing reads were deposited but it would be better to share the the SNPs data as well.

    Is the data acquisition clear, complete and methodologically sound?

    No. SNPs detection and SNPs selection for assignment test is not clear.

    Is there sufficient detail in the methods and data-processing steps to allow reproduction?

    No. In some cases, the materials and methods section is vague. It is better to correct them. It is mentioned in the attached manuscript text.

    Additional Comments: Well done research, but the manuscript need some correction as commented on the attached file. See: https://gigabyte-review.rivervalleytechnologies.comdownload-api-file?ZmlsZV9wYXRoPXVwbG9hZHMvZ3gvRFIvNTA1L2dpZ2EtY29tZW50cy5kb2N4