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Evaluation of the Numbers of Single Nucleotide Polymorphisms Required to Measure Genetic Distance in Maize ( Zea mays L.)
Author(s) -
Nelson Barry K.,
Kahler Alex L.,
Kahler Jonathan L.,
Mikel Mark A.,
Thompson Steven A.,
Ferriss Ronald S.,
Smith Stephen,
Jones Elizabeth S.
Publication year - 2011
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2010.07.0401
Subject(s) - biology , genetics , snp , inbred strain , single nucleotide polymorphism , zea mays , genetic distance , genetic diversity , genetic marker , snp array , genetic variation , population , genotype , gene , agronomy , demography , sociology
We examined the number, genomic coverage, and discrimination abilities of single nucleotide polymorphism (SNP) markers required to provide equivalent measures of genetic distance compared to previously assayed simple sequence repeat (SSR) loci among inbred lines of maize ( Zea mays L). A diverse set of public inbred lines was profiled with 768 public SNP markers and subsets of 601, 446, 305, 204, 165, 83, and 42 SNP markers were selected based on maintenance of expected heterozygosity ( He ) and/or even genomic coverage. The effectiveness of each SNP marker set was evaluated by comparison with standard SSR marker sets and pedigree distance values. Each marker set was evaluated using the full set of data for 80 diverse public inbred lines, a subset of inbred lines selected to represent the diversity of the full range of inbreds, and a subset of more closely related Stiff Stalk Synthetic (SSS) inbreds. A set of 305 SNP markers with mean He of greater than 0.4 had comparable or lower genetic distance sampling variance compared with SSR markers and resulted in r values comparable to larger SNP sets when pair‐wise Roger's distances were correlated with distance estimates generated from pedigree or SSR data. We found that, where SNP markers are selected to maintain high He and even genome coverage, then data from only 2 to 3 times the number of SNP markers are needed to reveal associations among lines compared with SSR markers.