Evidence map›Paper›PMID 24324156›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Genetic mapping of adaptation reveals fitness tradeoffs in Arabidopsis thaliana.

Jon Ågrena, Christopher G Oakley, John K McKay, John T Lovell, Douglas W Schemske

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

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78citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

78 citing papers in PubMed.

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  16. A large-effect fitness trade-off across environments is explained by a single mutation affecting cold acclimation.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  17. Article
  18. Adaptive and maladaptive introgression in grapevine domestication.Proceedings of the National Academy of Sciences of the United States of America · 2023
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jon ÅgrenaDepartment of Plant Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, SE-752 36 Uppsala, Sweden.
Christopher G Oakley
John K McKay
John T Lovell
Douglas W Schemske

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms inhabiting different environments are often locally adapted, and yet despite a considerable body of theory, the genetic basis of local adaptation is poorly understood. Unanswered questions include the number and effect sizes of adaptive loci, whether locally favored loci reduce fitness elsewhere (i.e., fitness tradeoffs), and whether a lack of genetic variation limits adaptation. To address these questions, we mapped quantitative trait loci (QTL) for total fitness in 398 recombinant inbred lines derived from a cross between locally adapted populations of the highly selfing plant Arabidopsis thaliana from Sweden and Italy and grown for 3 consecutive years at the parental sites (>40,000 plants monitored). We show that local adaptation is controlled by relatively few genomic regions of small to modest effect. A third of the 15 fitness QTL we detected showed evidence of tradeoffs, which contrasts with the minimal evidence for fitness tradeoffs found in previous studies. This difference may reflect the power of our multiyear study to distinguish conditionally neutral QTL from those that reflect fitness tradeoffs. In Sweden, but not in Italy, the local genotype underlying fitness QTL was often maladaptive, suggesting that adaptation there is constrained by a lack of adaptive genetic variation, attributable perhaps to genetic bottlenecks during postglacial colonization of Scandinavia or to recent changes in selection regime caused by climate change. Our results suggest that adaptation to markedly different environments can be achieved through changes in relatively few genomic regions, that fitness tradeoffs are common, and that lack of genetic variation can limit adaptation.

Indexed as

Biological EvolutionEnvironmentGenetic VariationAdaptation, BiologicalAnalysis of VarianceArabidopsisBayes TheoremChromosome MappingCrosses, GeneticGenetic FitnessItalyLod ScoreQuantitative Trait LociSwedendivergent selectiongenetic driftinbreedingQTL mappingRIL population

Identifiers

PMID24324156
PMCPMC3876199

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.