Literature DB >> 29085630

Microsatellite analysis of genetic diversity in the Tupaia belangeri yaoshanensis.

Ao-Lei Su1,2, Xiu-Wan Lan3, Ming-Bo Huang4, Wei Nong1, Qingdi Quentin Li5, Jing Leng1.   

Abstract

The Chinese tree shrew (Tupaia belangeri yaoshanensis) has long been proposed to serve as an animal model for studying human diseases. However, its overall genetic diversity and population structure remain largely unknown. In the present study, we investigated the genetic diversity of population microsatellite DNA in wild Tupaia belangeri yaoshanensis. Sixteen microsatellite loci were assessed in 76 wild Tupaia belangeri yaoshanensis. The target microsatellite DNA fragments were amplified from the peripheral blood DNA of the animals by polymerase chain reaction (PCR), and the PCR-amplified products were verified by DNA sequencing and used for the analysis of allele, effective allele, genetic heterozygosity, polymorphism and population structure. Our results showed that of the 16 microsatellite loci examined, 5 microsatellite loci were monomorphic and 11 microsatellite loci were polymorphic. We detected 61 alleles in the polymorphic loci and found 2-10 (with an average of 5.5455) alleles per locus. Our data also showed that the observed and expected heterozygosities ranged from 0.087 to 0.8947 and 0.1368 to 0.7892 with an average of 0.3968 and 0.4796, respectively. Taken together, the results revealed a considerably high heterozygosity and high genetic diversity at the molecular level in the population of wild Tupaia belangeri yaoshanensis. The identified markers from the present study may be useful for individual identification and parentage testing, as well as for the quantification of population heterogeneity in the Chinese tree shrew.

Entities:  

Keywords:  Tupaia belangeri yaoshanensis; microsatellite; population genetic diversity

Year:  2017        PMID: 29085630      PMCID: PMC5649576          DOI: 10.3892/br.2017.969

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


  8 in total

1.  The complete mitochondrial genome of Tupaia belangeri and the phylogenetic affiliation of scandentia to other eutherian orders.

Authors:  J Schmitz; M Ohme; H Zischler
Journal:  Mol Biol Evol       Date:  2000-09       Impact factor: 16.240

2.  Defining the ancestral karyotype of all primates by multidirectional chromosome painting between tree shrews, lemurs and humans.

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Journal:  Chromosoma       Date:  1999-11       Impact factor: 4.316

3.  Polymorphic microsatellite loci for Japanese Spanish mackerel (Scomberomorus niphonius).

Authors:  L Lin; L Zhu; S-F Liu; Q-S Tang; Y-Q Su; Z-M Zhuang
Journal:  Genet Mol Res       Date:  2012-05-08

4.  Isolation and characterization of microsatellite markers for the Korean rockfish, Sebastes schlegeli.

Authors:  C-C Bai; S-F Liu; Z-M Zhuang; L Lin; H Wang; Y-Q Chang
Journal:  Genet Mol Res       Date:  2011-09-15

5.  Evaluating the phylogenetic position of Chinese tree shrew (Tupaia belangeri chinensis) based on complete mitochondrial genome: implication for using tree shrew as an alternative experimental animal to primates in biomedical research.

Authors:  Ling Xu; Shi-Yi Chen; Wen-Hui Nie; Xue-Long Jiang; Yong-Gang Yao
Journal:  J Genet Genomics       Date:  2012-02-18       Impact factor: 4.275

Review 6.  The promise of comparative genomics in mammals.

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Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

Review 7.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

8.  Characterization of 12 polymorphic microsatellite markers in the Chinese tree shrew (Tupaia belangeri chinensis).

Authors:  Xiao-Hong Liu; Yong-Gang Yao
Journal:  Dongwuxue Yanjiu       Date:  2013-04
  8 in total
  1 in total

1.  Genetic diversity estimation of Yunnan indigenous goat breeds using microsatellite markers.

Authors:  Guang-Xin E; Qiong-Hua Hong; Yong-Ju Zhao; Yue-Hui Ma; Ming-Xing Chu; Lan Zhu; Yong-Fu Huang
Journal:  Ecol Evol       Date:  2019-04-29       Impact factor: 2.912

  1 in total

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