A practical guide to methods of parentage analysis

被引:380
作者
Jones, Adam G. [1 ]
Small, Clayton M. [1 ]
Paczolt, Kimberly A. [1 ]
Ratterman, Nicholas L. [1 ]
机构
[1] Texas A&M Univ, Dept Biol, College Stn, TX 77843 USA
关键词
exclusion; fractional allocation; microsatellites; parentage assignment; parental reconstruction; paternity; SINGLE-NUCLEOTIDE POLYMORPHISMS; MAXIMUM-LIKELIHOOD-ESTIMATION; EXTRA-PAIR PATERNITY; COMPUTER-PROGRAM; NATURAL-POPULATIONS; MULTIPLE PATERNITY; GENETIC-MARKERS; MICROSATELLITE ANALYSIS; MATING SYSTEM; PEDIGREE RECONSTRUCTION;
D O I
10.1111/j.1755-0998.2009.02778.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
The use of molecular techniques for parentage analysis has been a booming science for over a decade. The most important technological breakthrough was the introduction of microsatellite markers to molecular ecology, an advance that was accompanied by a proliferation and refinement of statistical techniques for the analysis of parentage data. Over the last several years, we have seen steady progress in a number of areas related to parentage analysis, and the prospects for successful studies continue to improve. Here, we provide an updated guide for scientists interested in embarking on parentage analysis in natural or artificial populations of organisms, with a particular focus on computer software packages that implement various methods of analysis. Our survey of the literature shows that there are a few established methods that perform extremely well in the analysis of most types of parentage studies. However, particular experimental designs or study systems can benefit from some of the less well-known computer packages available. Overall, we find that parentage analysis is feasible and satisfying in most systems, and we try to provide a simple roadmap to help other scientists navigate the confusing topography of statistical techniques.
引用
收藏
页码:6 / 30
页数:25
相关论文
共 117 条
[31]   Parentage analysis with few contributing breeders: Validation and improvement [J].
Duchesne, Pierre ;
Meldgaard, Torben ;
Berrebi, Patrick .
JOURNAL OF HEREDITY, 2008, 99 (03) :323-334
[32]   Every Microsatellite is Different: Intrinsic DNA Features Dictate Mutagenesis of Common Microsatellites Present in the Human Genome [J].
Eckert, Kristin A. ;
Hile, Suzanne E. .
MOLECULAR CARCINOGENESIS, 2009, 48 (04) :379-388
[33]   Microsatellites: Simple sequences with complex evolution [J].
Ellegren, H .
NATURE REVIEWS GENETICS, 2004, 5 (06) :435-445
[34]   MULTIPLE PATERNITY WITHIN THE FRUITS OF THE WILD RADISH, RAPHANUS-SATIVUS [J].
ELLSTRAND, NC .
AMERICAN NATURALIST, 1984, 123 (06) :819-828
[35]   Assignment of paternity groups without access to parental genotypes: multiple mating and developmental plasticity in squid [J].
Emery, AM ;
Wilson, IJ ;
Craig, S ;
Boyle, PR ;
Noble, LR .
MOLECULAR ECOLOGY, 2001, 10 (05) :1265-1278
[36]   Juxtaposed microsatellite systems as diagnostic markers for admixture: Theoretical aspects [J].
Estoup, A ;
Cornuet, JM ;
Rousset, F ;
Guyomard, R .
MOLECULAR BIOLOGY AND EVOLUTION, 1999, 16 (07) :898-908
[37]   How to use molecular marker data to measure evolutionary parameters in wild populations [J].
Garant, D ;
Kruuk, LEB .
MOLECULAR ECOLOGY, 2005, 14 (07) :1843-1859
[38]   FAMOZ: a software for parentage analysis using dominant, codominant and uniparentally inherited markers [J].
Gerber, S ;
Chabrier, P ;
Kremer, A .
MOLECULAR ECOLOGY NOTES, 2003, 3 (03) :479-481
[39]   Comparison of microsatellites and amplified fragment length polymorphism markers for parentage analysis [J].
Gerber, S ;
Mariette, S ;
Streiff, R ;
Bodénès, C ;
Kremer, A .
MOLECULAR ECOLOGY, 2000, 9 (08) :1037-1048
[40]   Prospects for inferring pairwise relationships with single nucleotide polymorphisms [J].
Glaubitz, JC ;
Rhodes, OE ;
Dewoody, JA .
MOLECULAR ECOLOGY, 2003, 12 (04) :1039-1047