Literature DB >> 31119442

Isolation and strategies of novel tetranucleotide microsatellites with polymorphisms from different chromosomes of the rhesus monkey (Macaca mulatta).

Yongtao Xu1,2, Zongxiu Hu3, Wujiao Li2, Tao Zeng3, Xiuyue Zhang2, Jing Li2, Weiwei Zhang1, Bisong Yue4.   

Abstract

A total of 45 tetranucleotide chromosome-specific microsatellite markers with polymorphism were developed successfully based on three reference rhesus monkey genomes and on In-silico PCR prescreening. The polymorphic information content (PIC) values of 45 polymorphic microsatellite loci ranged from 0.487 to 0.879, with an average of 0.715, which were proven to be moderate to highly polymorphic. We detected 315 alleles on 45 microsatellite loci in 24 Rhesus monkeys. The number of alleles ranged from 3 to 15 and the mean number of alleles was 7 for each locus. Accordingly, the observed and expected heterozygosities obtained were between 0.417 and 1.0 and between 0.550 and 0.908, with an average value of 0.736 and 0.767, respectively. Genetic information demonstrated that 10 loci significantly deviated from Hardy-Weinberg equilibrium (P < 0.05). All 45 primers were not significant with regard to linkage disequilibrium (P > 0.001). Pearson correlation indicated that the PIC value exhibited a significant negative correlation with the loci number (r = - 0.741, P = 0.022), whereas the positive correlation with the number of the samples (r = 0.847, P = 0.070) was not significant. This may be attributed to the presence of random particularities within the loci. The T test of the sample groups indicated that the PIC difference was not significant when the number of samples was set at 10 and/or ≥ 15 (P = 0.7472 ~ 0.8564). These polymorphic and valuable microsatellite loci will facilitate further conservation genetics studies for rhesus monkeys and can be further applied to develop novel genetic markers for other species.

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Keywords:  Chromosome; Isolation; Microsatellite; Polymorphic; Rhesus monkey (Macaca mulatta)

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Year:  2019        PMID: 31119442     DOI: 10.1007/s11033-019-04842-3

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  1 in total

1.  In Silico Screening and Development of Microsatellite Markers for Genetic Analysis in Perca fluviatilis.

Authors:  Pu Xu; Cuiyun Lu; Zhipeng Sun; Youyi Kuang; Dingchen Cao; Tangbin Huo; Chao Li; Hongyu Jin; Xianhu Zheng
Journal:  Animals (Basel)       Date:  2022-07-15       Impact factor: 3.231

  1 in total

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