Evidence map›Paper›PMID 34215191›Full record

ArticleBMC plant biology2021

The genetic basis of adaptation in phenology in an introduced population of Black Cottonwood (Populus trichocarpa, Torr. & Gray).

Rami-Petteri Apuli, Thomas Richards, Martha Rendón-Anaya, Almir Karacic, Ann-Christin Rönnberg-Wästljung, Pär K Ingvarsson

Abstract read
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Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  4. Genetic architecture of the response ofFrontiers in plant science · 2023
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4 · The record

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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

6 authors.

Rami-Petteri ApuliLinnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden.
Thomas RichardsLinnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden.
Martha Rendón-AnayaLinnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden.
Almir KaracicInstitute for Crop Production Ecology, Swedish University of Agricultural Science, Uppsala, Sweden.
Ann-Christin Rönnberg-WästljungLinnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden.
Pär K IngvarssonLinnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden. par.ingvarsson@slu.se.ORCID http://orcid.org/0000-0001-9225-7521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEntering and exiting winter dormancy present important trade-offs between growth and survival at northern latitudes. Many forest trees display local adaptation across latitude in traits associated with these phenology transitions. Transfers of a species outside its native range introduce the species to novel combinations of environmental conditions potentially requiring different combinations of alleles to optimize growth and survival. In this study, we performed genome wide association analyses and a selection scan in a P. trichocarpa mapping population derived from crossings between clones collected across the native range and introduced into Sweden. GWAS analyses were performed using phenotypic data collected across two field seasons and in a controlled phytotron experiment.

resultsWe uncovered 584 putative candidate genes associated with spring and autumn phenology traits as well as with growth. Many regions harboring variation significantly associated with the initiation of leaf shed and leaf autumn coloring appeared to have been evolving under positive selection in the native environments of P. trichocarpa. A comparison between the candidate genes identified with results from earlier GWAS analyses performed in the native environment found a smaller overlap for spring phenology traits than for autumn phenology traits, aligning well with earlier observations that spring phenology transitions have a more complex genetic basis than autumn phenology transitions.

conclusionsIn a small and structured introduced population of P. trichocarpa, we find complex genetic architectures underlying all phenology and growth traits, and identify multiple putative candidate genes despite the limitations of the study population.

Indexed as

Introduced SpeciesAdaptation, PhysiologicalGene OntologyGenetic Association StudiesInheritance PatternsPhenotypePopulusQuantitative Trait, HeritableSeasonsBud burstIntroduced populationLeaf senescenceLocal adaptationPhenologyPopulus trichocarpa

Identifiers

PMID34215191
PMCPMC8252265

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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.