A strong quantitative trait locus for wing length on chromosome 2 in a wild population of great reed warblers

Tarka, Maja; Åkesson, Mikael; Beraldi, Dario; Hernández-Sánchez, Jules; Hasselquist, Dennis; Bensch, Staffan; Hansson, Bengt

doi:10.1098/rspb.2010.0033

Cited by 53 publications

(64 citation statements)

References 64 publications

(93 reference statements)

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“…In Soay sheep, Ovis aries, analyses of over 10 traits yielded only one significant (jaw length) and 7 suggestive QTLs ( In red deer, Cervus elaphus, a test for birth weight QTLs yielded a single suggestive QTL (Slate et al, 2002). Finally, in great reed warblers, Acrocephalus arundinaceus, analyses of wing length and tarsus length resulted in the identification of a single significant QTL (Tarka et al, 2010). This study as well as the ones just mentioned demonstrated that QTL mapping in free-living wildlife populations was feasible.…”

Section: Qtl Number and Effect Sizesmentioning

confidence: 72%

QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep

et al. 2011

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Dissecting the genetic architecture of fitness-related traits in wild populations is key to understanding evolution and the mechanisms maintaining adaptive genetic variation. We took advantage of a recently developed genetic linkage map and phenotypic information from wild pedigreed individuals from Ram Mountain, Alberta, Canada, to study the genetic architecture of ecologically important traits (horn volume, length, base circumference and body mass) in bighorn sheep. In addition to estimating sex-specific and cross-sex quantitative genetic parameters, we tested for the presence of quantitative trait loci (QTLs), colocalization of QTLs between bighorn sheep and domestic sheep, and sexÂQTL interactions. All traits showed significant additive genetic variance and genetic correlations tended to be positive. Linkage analysis based on 241 microsatellite loci typed in 310 pedigreed animals resulted in no significant and five suggestive QTLs (four for horn dimension on chromosomes 1, 18 and 23, and one for body mass on chromosome 26) using genome-wide significance thresholds (Logarithm of odds (LOD) 43.31 and 41.88, respectively). We also confirmed the presence of a horn dimension QTL in bighorn sheep at the only position known to contain a similar QTL in domestic sheep (on chromosome 10 near the horns locus; nominal Po0.01) and highlighted a number of regions potentially containing weight-related QTLs in both species. As expected for sexually dimorphic traits involved in male-male combat, loci with sex-specific effects were detected. This study lays the foundation for future work on adaptive genetic variation and the evolutionary dynamics of sexually dimorphic traits in bighorn sheep.

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Section: Qtl Number and Effect Sizesmentioning

confidence: 72%

QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep

et al. 2011

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“…The great reed warbler pedigree spanning the years 1985-2004 contains 735 individuals [34,35]. We pruned this pedigree prior to the present analyses to remove uninformative links [45].…”

Section: (B) Pedigreementioning

confidence: 99%

“…To overcome the drawbacks of previous studies, we measured telomere length very early in life in both parents and offspring and apply 'animal models' based on resolved pedigree data [34,35]. This approach enabled us to analyse the relative importance of genetic, environmental, parental age and maternal effects on telomere length in a way that has previously not been possible in vertebrates.…”

Section: Introductionmentioning

confidence: 99%

Maternal and genetic factors determine early life telomere length

et al. 2015

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In a broad range of species-including humans-it has been demonstrated that telomere length declines throughout life and that it may be involved in cell and organismal senescence. This potential link to ageing and thus to fitness has triggered recent interest in understanding how variation in telomere length is inherited and maintained. However, previous studies suffer from two main drawbacks that limit the possibility of understanding the relative importance of genetic, parental and environmental influences on telomere length variation. These studies have been based on (i) telomere lengths measured at different time points in different individuals, despite the fact that telomere length changes over life, and (ii) parent-offspring regression techniques, which do not enable differentiation between genetic and parental components of inheritance. To overcome these drawbacks, in our study of a songbird, the great reed warbler, we have analysed telomere length measured early in life in both parents and offspring and applied statistical models (so-called 'animal models') that are based on long-term pedigree data. Our results showed a significant heritability of telomere length on the maternal but not on the paternal side, and that the mother's age was positively correlated with their offspring's telomere length. Furthermore, the pedigree-based analyses revealed a significant heritability and an equally large maternal effect. Our study demonstrates strong maternal influence on telomere length and future studies now need to elucidate possible underlying factors, including which types of maternal effects are involved.

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“…the diversity of plant species traits in ecosystems) has emerged, particularly over the last few decades as a measure of biodiversity (Kattge et al 2011). Typical examples of plant traits include; leaf dry mass, leaf area, rooting depth, maximum growth rate, leaf nitrogen concentration, (Petchey and Gaston 2002;Mason et al 2010) while animal traits include body size, wing size (for birds and insects) and respiration rates (Tarka et al 2010;Laine et al 2013). Many studies have shown that functional diversity is one of the best predictors of ecosystem functioning that is available, providing a strong and direct link to ecosystem functioning (Petchey et al 2004;Cadotte et al 2009;Flynn et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and selection of functional diversity metrics with recommendations for their use in life cycle assessments

Ahmed

Bodegom

Tukker

2018

Int J Life Cycle Assess

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Purpose In life cycle assessments (LCAs), the focus of modelling the impact of human-induced pressures on biodiversity has been mainly on taxonomic diversity measures such as species richness. More recently, increasing availability of trait data and the understanding that functional diversity is more directly related to human-induced pressures suggests functional diversity as a promising metric. One major challenge relates to the selection process of the correct metric. Our purpose is to categorise and identify appropriate metrics of functional diversity for LCA model developers based on a justified choice of its structural properties and its links to human-induced pressures. Methods We conducted a meta-analysis of literature to identify those functional diversity metrics that are frequently applied (not necessarily within LCA studies) and that possess a strong link to ecosystem functioning and human-induced pressures. Also, we provide a compilation of metrics that conform to important and desirable structural properties stipulated from literature. By reconciling these highlighted key properties with the strength of metric link, we make propositions for functional diversity use in LCA. Results and discussion To capture impacts on functional diversity, the combination of functional richness, evenness and divergence needs to be considered. The mean strength of functional diversity metrics was highest for temperature rise and CO 2 elevation, as related to climate change, and less to eutrophication and land use change. Studies on impacts of water use change and other important human-induced pressures on functional diversity seem not available. When combined with desired structural properties such as independence and scale invariance, a combination of functional dendrogram (FR D ), functional evenness (FE m ) and functional logarithmic variance (FD var ) is preferred to comprehensively determine human impacts on biodiversity in LCAs. However, if a set of multi-dimensional components is sought, then the best option is functional volume (FR V ), functional evenness (FE m ) and functional divergence (FD m ). Conclusions Through this reconciliation of usage, mean strength and key properties, the LCA model developer is able to apply consistent and useful metrics in LCA studies.

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A strong quantitative trait locus for wing length on chromosome 2 in a wild population of great reed warblers

Cited by 53 publications

References 64 publications

QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep

QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep

Maternal and genetic factors determine early life telomere length

Evaluation and selection of functional diversity metrics with recommendations for their use in life cycle assessments

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