Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges

被引:347
作者
Helyar, S. J. [1 ]
Hemmer-Hansen, J. [2 ]
Bekkevold, D. [2 ]
Taylor, M. I. [1 ]
Ogden, R. [3 ]
Limborg, M. T. [2 ]
Cariani, A. [4 ]
Maes, G. E. [5 ]
Diopere, E. [5 ]
Carvalho, G. R. [1 ]
Nielsen, E. E. [2 ]
机构
[1] Univ Bangor, Environm Ctr Wales, MEFGL, Sch Biol Sci, Bangor LL57 2UW, Gwynedd, Wales
[2] Tech Univ Denmark, Natl Inst Aquat Resources, DK-8600 Silkeborg, Denmark
[3] Royal Zool Soc Scotland, TRACE Wildlife Forens Network, Edinburgh EH12 6TS, Midlothian, Scotland
[4] Univ Bologna, Interdept Ctr Res Environm Sci, Mol Genet Environm & Fishery Resources Lab GenMAP, I-48100 Bologna, Italy
[5] Catholic Univ Louvain, Lab Anim Div & Systemat, B-3000 Louvain, Belgium
关键词
ascertainment bias; nonneutral loci; outlier detection; population genomics; population structure; software; SINGLE-NUCLEOTIDE POLYMORPHISMS; ASSESSING STATISTICAL POWER; MULTILOCUS GENOTYPE DATA; COMPUTER-PROGRAM; STRUCTURED POPULATIONS; ENVIRONMENTAL-FACTORS; FREQUENCY-SPECTRUM; POSITIVE SELECTION; ASCERTAINMENT BIAS; CANDIDATE LOCI;
D O I
10.1111/j.1755-0998.2010.02943.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Recent improvements in the speed, cost and accuracy of next generation sequencing are revolutionizing the discovery of single nucleotide polymorphisms (SNPs). SNPs are increasingly being used as an addition to the molecular ecology toolkit in nonmodel organisms, but their efficient use remains challenging. Here, we discuss common issues when employing SNP markers, including the high numbers of markers typically employed, the effects of ascertainment bias and the inclusion of nonneutral loci in a marker panel. We provide a critique of considerations specifically associated with the application and population genetic analysis of SNPs in nonmodel taxa, focusing specifically on some of the most commonly applied methods.
引用
收藏
页码:123 / 136
页数:14
相关论文
共 136 条
  • [91] Reconstituting the frequency spectrum of ascertained single-nucleotide polymorphism data
    Nielsen, R
    Hubisz, MJ
    Clark, AG
    [J]. GENETICS, 2004, 168 (04) : 2373 - 2382
  • [92] Correcting for ascertainment biases when analyzing SNP data: applications to the estimation of linkage disequilibrium
    Nielsen, R
    Signorovitch, J
    [J]. THEORETICAL POPULATION BIOLOGY, 2003, 63 (03) : 245 - 255
  • [93] Nielsen R, 2000, GENETICS, V154, P931
  • [94] Interpreting principal component analyses of spatial population genetic variation
    Novembre, John
    Stephens, Matthew
    [J]. NATURE GENETICS, 2008, 40 (05) : 646 - 649
  • [95] PALUMBI SR, 1994, MOL BIOL EVOL, V11, P426
  • [96] PCA-correlated SNPs for structure identification in worldwide human populations
    Paschou, Peristera
    Ziv, Elad
    Burchard, Esteban G.
    Choudhry, Shweta
    Rodriguez-Cintron, William
    Mahoney, Michael W.
    Drineas, Petros
    [J]. PLOS GENETICS, 2007, 3 (09): : 1672 - 1686
  • [97] Population structure and eigenanalysis
    Patterson, Nick
    Price, Alkes L.
    Reich, David
    [J]. PLOS GENETICS, 2006, 2 (12): : 2074 - 2093
  • [98] GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research
    Peakall, R
    Smouse, PE
    [J]. MOLECULAR ECOLOGY NOTES, 2006, 6 (01): : 288 - 295
  • [99] GENECLASS2: A software for genetic assignment and first-generation migrant detection
    Piry, S
    Alapetite, A
    Cornuet, JM
    Paetkau, D
    Baudouin, L
    Estoup, A
    [J]. JOURNAL OF HEREDITY, 2004, 95 (06) : 536 - 539
  • [100] Polanski A, 2003, GENETICS, V165, P427