The power and promise of population genomics: from genotyping to genome typing

By Gordon Luikart, P. England, David A. Tallmon, S. Jordan, P. Taberlet. Nature reviews genetics, 2003

1,359 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cc6ad46cf1d8c895c62dc0a936ae3b8c9ab59183

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In Genetics

Citations in the corpus

Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags (2010, neutral): “natural populations [14–20].”
Wildlife DNA forensics—bridging the gap between conservation genetics and law enforcement (2009, background): “This offers great promise for many aspects of conservation genetics (Luikart et al. 2003, Kohn et al. 2006), including the development of novel markers for forensic identification and the subsequent production of reference data.”
Applications of next-generation sequencing to the study of biological invasions (2015, methodology): “The method for identifying regions with locusspecific signatures of selection follows four steps (Luikart et al., 2003): (1) sampling a representative number of individuals, (2) genotyping a large number of loci, 492 Current Zoology Vol. 61 No. 3 (3) conducting statistical tests to identify outlier…”
Inference of population structure using multilocus genotype data: dominant markers and null alleles (2007, background): “However, the uncertainty about the underlying genotypes presents a problem for statistical analysis.”
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method (2008, background): “, Fst, Nm, Ne), that require neutral loci [4].”
Land ahead: using genome scans to identify molecular markers of adaptive relevance (2008, methodology): “Both outlier loci detection based on population differentiation and allele distribution models are sensitive to signatures of population history ( Luikart et al. 2003 ).”
Stacks: an analysis tool set for population genomics (2013, background): “…to help identify genomic regions contributing to local adaptation or even speciation (Lewontin & Krakauer 1973; Maynard Smith & Haigh 1974; Luikart et al. 2003; Beaumont & Balding 2004; Nielsen 2005; Storz 2005; Nielsen et al. 2007; Foll & Gaggiotti 2008; Gaggiotti et al. 2009; Hohen-lohe…”
A new FST‐based method to uncover local adaptation using environmental variables (2015, background): “One of themost important aims of population genomics (Luikart et al. 2003) is to uncover signatures of selection in genomes of non-model species.”
Simulated climate change provokes rapid genetic change in the Mediterranean shrub Fumana thymifolia (2008, background): “Using a genome scan, a population genomic analysis that compares genetic divergence between populations at individual molecular marker loci with a genomewide average, the signature of selection can be detected (Luikart et al., 2003; Beaumont, 2005; Storz, 2005).”
Novel R tools for analysis of genome-wide population genetic data with emphasis on clonality (2015, background): “Genotyping by sequencing and whole genome resequencing provide the unprecedented ability to identify thousands of single nucleotide polymorphisms (SNPs) in populations (Luikart et al., 2003; Davey et al., 2011; Elshire et al., 2011).”
Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits (2008, methodology): “At its core, population genomics is simply population genetics writ large – that is, population genetic analyses of a large number of loci, distributed throughout the genome (Black et al., 2001; Luikart et al., 2003; Schlotterer, 2003).”
Molecular signatures of natural selection. (2005, background): “It has recently been resurrected in various forms (1, 9, 10, 53, 92, 114 ), primarily driven by the availability of large-scale genomic data.”
Genetic monitoring as a promising tool for conservation and management. (2007, background): “; Luikart, Gordon; and Waples, Robin, "Genetic monitoring as a promising tool for conservation and management" (2006). Publications, Agencies and Staff of the U.”
A practical guide to environmental association analysis in landscape genomics (2015, background): “In population genomics, approaches based on identifying regions of high genetic differentiation among populations as compared to a neutral model are commonly used to detect positive selection (Luikart et al. 2003).”
Contribution of genetics and genomics to seagrass biology and conservation (2007, background): “The goal is to detect genetic markers that reveal more differentiation among contrasting environmental conditions than expected under a null model ofdrift andgene flowalone (Luikart et al., 2003).”