Literature DB >> 7994106

The use of microsatellite analysis in population biology: background, methods and potential applications.

M V Ashley1, B D Dow.   

Abstract

A promising technique currently emerging for population studies is the analysis of microsatellite DNAs. Microsatellite alleles offer several advantages over other types of molecular markers. They are abundant, highly variable, and can be assayed from minute quantities of DNA using PCR. Their major disadvantage is that it is usually necessary to screen genomic libraries to identify and characterize microsatellite loci for each species under investigation. The first goal of this chapter is to summarize background information having implications for population studies. This information comes primarily from human genome literature and is therefore not easily accessible to many population biologists. Secondly, because microsatellite analysis uses molecular approaches that are new to most population biologists, we attempt to provide a rationale and overview of methodology. Finally, we review population studies to date that have used microsatellite analysis and offer our perspective on the potential for future studies.

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Year:  1994        PMID: 7994106     DOI: 10.1007/978-3-0348-7527-1_10

Source DB:  PubMed          Journal:  EXS        ISSN: 1023-294X


  10 in total

1.  Abundant microsatellite polymorphism in Saccharomyces cerevisiae, and the different distributions of microsatellites in eight prokaryotes and S. cerevisiae, result from strong mutation pressures and a variety of selective forces.

Authors:  D Field; C Wills
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-17       Impact factor: 11.205

2.  Numerous length polymorphisms at short tandem repeats in human cytomegalovirus.

Authors:  C L Davis; D Field; D Metzgar; R Saiz; P A Morin; I L Smith; S A Spector; C Wills
Journal:  J Virol       Date:  1999-08       Impact factor: 5.103

3.  Genetic variation of major histocompatibility complex and microsatellite loci: a comparison in bighorn sheep.

Authors:  W M Boyce; P W Hedrick; N E Muggli-Cockett; S Kalinowski; M C Penedo; R R Ramey
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

Review 4.  Brazilian studies on the genetics of Schistosoma mansoni.

Authors:  Rosana Gentile; Guilherme Oliveira
Journal:  Acta Trop       Date:  2008-09-11       Impact factor: 3.112

5.  High migratory propensity constitutes a single stock of an exploited cutlassfish species in the Northwest Pacific: A microsatellite approach.

Authors:  Yu-Hong Guo; Lorenzo C Halasan; Hui-Yu Wang; Hsiu-Chin Lin
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

6.  Genome-wide survey and genetic characteristics of Ophichthus evermanni based on Illumina sequencing platform.

Authors:  Tianyan Yang; Zijun Ning; Yuping Liu; Shufei Zhang; Tianxiang Gao
Journal:  Biosci Rep       Date:  2022-05-27       Impact factor: 3.976

7.  Microsatellite and flow cytometry analysis to help understand the origin of Dioscorea alata polyploids.

Authors:  A Nemorin; J David; E Maledon; E Nudol; J Dalon; G Arnau
Journal:  Ann Bot       Date:  2013-08-01       Impact factor: 4.357

Review 8.  Microsatellites in Pursuit of Microbial Genome Evolution.

Authors:  Abdullah F Saeed; Rongzhi Wang; Shihua Wang
Journal:  Front Microbiol       Date:  2016-01-05       Impact factor: 5.640

9.  Florally rich habitats reduce insect pollination and the reproductive success of isolated plants.

Authors:  Tracie M Evans; Stephen Cavers; Richard Ennos; Adam J Vanbergen; Matthew S Heard
Journal:  Ecol Evol       Date:  2017-07-11       Impact factor: 2.912

10.  Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers.

Authors:  Richard Habimana; Tobias Otieno Okeno; Kiplangat Ngeno; Sylvere Mboumba; Pauline Assami; Anique Ahou Gbotto; Christian Tiambo Keambou; Kizito Nishimwe; Janvier Mahoro; Nasser Yao
Journal:  PLoS One       Date:  2020-04-02       Impact factor: 3.240

  10 in total

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