naa a22 4500 510730906 CHVBK 20180411082952.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s11295-013-0624-x doi (NATIONALLICENCE)springer-10.1007/s11295-013-0624-x Genetic structure and association mapping of adaptive and selective traits in the east Texas loblolly pine ( Pinus taeda L.) breeding populations [Elektronische Daten] [Vikram Chhatre, Thomas Byram, David Neale, Jill Wegrzyn, Konstantin Krutovsky] First-generation selection (FGS) and second-generation selection (SGS) breeding populations of loblolly pine from east Texas were studied to estimate the genetic diversity, population structure, linkage disequilibrium (LD), signatures of selection and association of breeding traits with a genome-wide panel of 4,264 single nucleotide polymorphisms (SNPs). Relatively high levels of observed (H o = 0.178-0.198) and expected (H e = 0.180-0.198) heterozygosities were observed in all populations. The amount of inbreeding was very low with many populations exhibiting a slight excess of heterozygotes. The population structure was weak, but F ST indicated more pronounced differentiation in the SGS populations. As expected for outcrossing natural populations, the genome-wide LD was low, but marker density was insufficient to deduce the decay rate. Numerous associations were found between various phenotypic traits and SNPs, but only a few remained significant after false positive correction. Signatures of diversifying and balancing selection were found in markers representing important biological functions. These results present the first step in the application of marker-assisted selection (MAS) to the Western Gulf Forest Tree Improvement Program (WGFTIP) for loblolly pine and will contribute to the knowledgebase necessary for genomic selection technology. Springer-Verlag Berlin Heidelberg, 2013 Association mapping nationallicence Adaptive traits nationallicence Breeding nationallicence Genomic variation nationallicence Genome-wide linkage disequilibrium nationallicence Loblolly pine nationallicence Pinus taeda nationallicence Population structure nationallicence SNPs nationallicence Chhatre Vikram Genetics Graduate Program, Texas A&M University, 77843, College Station, TX, USA aut Byram Thomas Department of Ecosystem Science and Management, Texas A&M University, 77843-2138, College Station, TX, USA aut Neale David Department of Plant Sciences, University of California, 95616, Davis, CA, USA aut Wegrzyn Jill Department of Plant Sciences, University of California, 95616, Davis, CA, USA aut Krutovsky Konstantin Department of Ecosystem Science and Management, Texas A&M University, 77843-2138, College Station, TX, USA aut Tree Genetics & Genomes Springer Berlin Heidelberg 9/5(2013-10-01), 1161-1178 1614-2942 9:5<1161 2013 9 11295 https://doi.org/10.1007/s11295-013-0624-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11295-013-0624-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chhatre Vikram Genetics Graduate Program, Texas A&M University, 77843, College Station, TX, USA aut NATIONALLICENCE 700 1- Byram Thomas Department of Ecosystem Science and Management, Texas A&M University, 77843-2138, College Station, TX, USA aut NATIONALLICENCE 700 1- Neale David Department of Plant Sciences, University of California, 95616, Davis, CA, USA aut NATIONALLICENCE 700 1- Wegrzyn Jill Department of Plant Sciences, University of California, 95616, Davis, CA, USA aut NATIONALLICENCE 700 1- Krutovsky Konstantin Department of Ecosystem Science and Management, Texas A&M University, 77843-2138, College Station, TX, USA aut NATIONALLICENCE 773 0- Tree Genetics & Genomes Springer Berlin Heidelberg 9/5(2013-10-01), 1161-1178 1614-2942 9:5<1161 2013 9 11295 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer