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6 results for “serotiny”

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dryad36/100

Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)

Wildfire is a major ecological driver of plant evolution. Understanding the genetic basis of plant adaptation to wildfire is crucial, because impending climate change will involve fire regime changes worldwide. We studied the molecular genetic basis of serotiny, a fire-related trait, in Mediterranean maritime pine using association genetics. A single nucleotide polymorphism (SNP) set was used to identify genotype : phenotype associations in situ in an unstructured natural population of maritime pine (eastern Iberian Peninsula) under a mixed-effects model framework. RR-BLUP was used to build predictive models for serotiny in this region. Model prediction power outside the focal region was tested using independent range-wide serotiny data. Seventeen SNPs were potentially associated with serotiny, explaining approximately 29% of the trait phenotypic variation in the eastern Iberian Peninsula. Similar prediction power was found for nearby geographical regions from the same maternal lineage, but not for other genetic lineages. Association genetics for ecologically relevant traits evaluated in situ is an attractive approach for forest trees provided that traits are under strong genetic control and populations are unstructured, with large phenotypic variability. This will help to extend the research focus to ecological keystone non-model species in their natural environments, where polymorphisms acquired their adaptive value.

opencc-zeroDec 2012View details →
dryad36/100

Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)

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publicSep 2013View details →
dryad36/100

Data from: Enhanced seed defenses potentially relax selection by seed predators against serotiny in lodgepole pine

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publicApr 2021View details →
zenodo32/100

Dataset from the Am J Bot 2016 103(9) paper: "Disentangling plasticity of serotiny, a key adaptive trait in a Mediterranean conifer"

<p>Raw data from the American Journal of Botany paper: "Disentangling plasticity of serotiny, a key adaptive trait in a Mediterranean conifer" Am J Bot. 2016 Sep;103(9):1582-91. doi: 10.3732/ajb.1600199</p>

opencc-by-nc-nd-4.0Aug 2016View details →
dryad32/100

Environmental and serotiny data of Pinus halepensis

<p><span>Many plants undergo adaptation to fire. Yet, as global change is increasing fire frequency worldwide, our understanding of the genetics of adaptation to fire is still limited. </span><span>We studied the genetic basis of serotiny (the ability to disseminate seed exclusively after fire) in the widespread, pioneer Mediterranean conifer <em>Pinus halepensis</em> Mill., by linking individual variation in serotiny presence and level to fire frequency and to genetic polymorphism in natural populations. </span></p> <p><span>After filtering steps, 885 Single Nucleotide Polymorphisms (SNPs) out of 8,000 SNPs used for genotyping were implemented to perform an <em>in situ</em> association study between genotypes and serotiny presence and level. To identify serotiny-associated loci, we performed random forest analyses of the effect of SNPs on serotiny levels, while controlling for tree size, frequency of wildfires, and background environmental parameters.</span></p> <p><span>Serotiny showed a bimodal distribution, with serotinous trees more frequent in populations exposed to fire in their recent history. </span><span>Twenty-two</span><span> SNPs found in genes involved in stress tolerance were associated with presence-absence of serotiny while thirty-seven found in genes controlling for flowering were associated with continuous serotiny variation.</span></p> <p><span>This study </span><span>shows</span><span> the high potential of </span><em><span>P. halepensis</span></em><span> to adapt to changing fire regimes, benefiting from a large and flexibl</span><span>e</span> <span>genetic basis of trait variation</span><span>.</span></p>

opencc-zeroMar 2023View details →
dryad32/100

Environmental and serotiny data of Pinus halepensis

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publicMar 2023View details →

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