HOW CLOSELY CORRELATED ARE MOLECULAR AND QUANTITATIVE MEASURES OF GENETIC VARIATION? A META‐ANALYSIS

By David H. Reed, R. Frankham. Evolution; international journal of organic evolution, 2001

753 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/80c26ee290c4d58a8382ea3d45d50d8837504045

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Citations in the corpus

Conservation genetics in a globally changing environment: present problems, paradoxes and future challenges (2007, background): “Quantitative genetic analysis is of paramount importance in the assessment of the extinction risk (Lynch 1996; Reed and Frankham 2001).”
Genetics and extinction (2005, background): “While both of these are related to heterozygosity, their correlation is low, and not different from zero for life history traits (Reed and Frankham, 2001).”
Characterizing Safflower Germplasm with AFLP Molecular Markers (2007, background): “Reed and Frankham (2001) examined 71 data sets, mostly with allozyme data, and found that the mean correlation coeffi cient between molecular and phenotypic variation was 0.36, but lower for correlations based on additive genetic variance.”
A comparative analysis of population structure of a forest tree, Eucalyptus globulus (Myrtaceae), using microsatellite markers and quantitative traits (2006, background): “There is often a poor correlation between molecular marker variation and quantitative variation for adaptively important traits (Bekessy et al. 2003; Pfrender 2000; Reed and Frankham 2001 ).”
What can DNA tell us about biological invasions? (2012, background): “However, molecular genetic variation is a poor indicator of additive genetic variance for any particular trait (Lynch and Walsh 1998; Reed and Frankham 2001) and the actual adaptive potential will not be known until selection is applied.”
Conservation implications of species–genetic diversity correlations (2014, background): “However, even though neutral genetic diversity cannot be expected to be directly equated with variation in any particular phenotypic characteristic (Reed and Frankham, 2001), it can be expected to reflect evolvability and adaptive potential in the long-term due to its link with effective population…”
How general are positive relationships between plant population size, fitness and genetic variation? (2006, background): “Most studies used near-neutral isoenzyme or DNA-markers to determine the level of genetic variation, although variation for such neutral markers may correlate poorly with traits under selection and does not necessarily reflect the evolutionary potential of a population (Reed & Frankham 2001).”
Genetic diversity and population structure of the Chinese mitten crab Eriocheir sinensis in its native range (2009, background): “basis or that strong selection has driven divergence as previously reported for quantitative traits across a wide range of organisms (Reed and Frankham 2001).”
Adaptive vs. neutral genetic diversity: implications for landscape genetics (2006, result): “We can deduce from these results (1) that the relationship between FST and QST is far from being simple and (2) that quantitative genetic data are needed for the evaluation of a population’s evolutionary or adaptive potential and its conservation value (Reed and Frankham 2001; McKay and Latta 2002).”
Comparison of genetic differentiation at marker loci and quantitative traits (2001, background): “…across different studies for both allozymes and microsatellites suggests that the divergence in neutral marker genes is ± perhaps against common wisdom [e.g. Karhu et al., 1996; Hedrick, 1999; Reed & Frankham, 2001) ± indicative of the degree of genetic differentiation in quantitative traits.”
Molecular evidence for a single genetic clone of invasive Arundo donax in the United States (2008, background): “In general, however, variation at selectively neutral marker loci does not reflect a population’s capacity for adaptive evolutionary change to biological control agents (Müller-Schärer and Steinger, 2004; Reed and Frankham, 2001).”