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Development of 34 SNP markers developed from the genome resequencing dataset in golden snub-nosed monkey (Rhinopithecus roxellana) using high resolution melting (HRM)

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Abstract

As single nucleotide polymorphisms (SNPs), known as the third-generation molecular markers, are extensively used in genetic studies. The rapid development of high-throughput sequencing technologies has enabled the development of a large number of SNP markers to be cost-effective and rapid. Based on the genome resequencing dataset of Rhinopithecus roxellana, we characterized 34 polymorphic SNP markers using a high resolution melting diversity assay. The observed heterozygosity varied from 0.323 to 0.725, while the expected heterozygosity ranged from 0.352 to 0.638. In addition, the MAF varied from 0.206 to 0.5000, while HWE values varied from 0.060 to 0.725. To the best of our knowledge, this is the largest set of SNP markers developed for R. roxellana by far, and could be useful in further geographic populations, analysis of evolutionary relationships and conservation genetics of this species.

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Acknowledgements

This project was supported by National Key Program (2016YFC0503200 and 2013BAD03B02) from Ministry of Science and Technology of China, the Natural Science Foundation of China (Nos. 31270420 and 31130061), Hubei Province Key Laboratory of Conservation Biology of Shennongjia Golden Monkey and State Forestry Administration of China.

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Correspondence to Huijuan Pan.

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Wang, B., Du, L., Li, M. et al. Development of 34 SNP markers developed from the genome resequencing dataset in golden snub-nosed monkey (Rhinopithecus roxellana) using high resolution melting (HRM). Conservation Genet Resour 9, 325–328 (2017). https://doi.org/10.1007/s12686-016-0646-4

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  • DOI: https://doi.org/10.1007/s12686-016-0646-4

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