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Incorporating uniparental markers and demographic information in kinship analysis

Jin-Xian Liu, Meng-Yu Li
doi: https://doi.org/10.1101/2022.05.05.490843
Jin-Xian Liu
1CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
2Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
3Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
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  • For correspondence: jinxianliu@gmail.com
Meng-Yu Li
1CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
2Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
3Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
4University of Chinese Academy of Sciences, Beijing, China
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Abstract

Knowledge of kinship relations between members of wild populations is of great importance in ecological and conservation genetic studies. The bi-parentally inherited autosomal markers has been the Golden Standard in kinship analysis. However, analysis of kin relationship can be challenging in wild populations. The uni-parentally inherited markers and population demographic information can be helpful for identifying false-positive in kinship analysis. Here we showed how incorporating uniparental genetic and demographic information can improve the correct classification rate of kinship analyses by reanalyzing data of a recent study published in Science Advances. The application of next generation high-throughput sequencing to address fundamental ecological questions is of immense benefit to the field of molecular ecology, which could also generate uniparentally inherited organelle genomes together with nuclear data. We strongly recommended that uniparental genetic markers and demographic information be seriously considered in kinship analyses of wild populations.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 06, 2022.
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Incorporating uniparental markers and demographic information in kinship analysis
Jin-Xian Liu, Meng-Yu Li
bioRxiv 2022.05.05.490843; doi: https://doi.org/10.1101/2022.05.05.490843
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Incorporating uniparental markers and demographic information in kinship analysis
Jin-Xian Liu, Meng-Yu Li
bioRxiv 2022.05.05.490843; doi: https://doi.org/10.1101/2022.05.05.490843

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