Evidence map›Paper›PMID 36068997›Full record

ArticleThe New phytologist2023

From common gardens to candidate genes: exploring local adaptation to climate in red spruce.

Thibaut Capblancq, Susanne Lachmuth, Matthew C Fitzpatrick, Stephen R Keller

Open access · hybridAbstract read
In one paragraph

Article in The New phytologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 62 citations in OpenAlex.

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  12. Climate change and plant genomic plasticity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Thibaut CapblancqDepartment of Plant Biology, University of Vermont, Burlington, VT, 05405, USA.ORCID 0000-0001-5024-1302
Susanne LachmuthAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA.ORCID 0000-0002-4027-7632
Matthew C FitzpatrickAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA.ORCID 0000-0003-1911-8407
Stephen R KellerDepartment of Plant Biology, University of Vermont, Burlington, VT, 05405, USA.ORCID 0000-0001-8887-9213
University of Maryland Center for Environmental Science · USUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local adaptation to climate is common in plant species and has been studied in a range of contexts, from improving crop yields to predicting population maladaptation to future conditions. The genomic era has brought new tools to study this process, which was historically explored through common garden experiments. In this study, we combine genomic methods and common gardens to investigate local adaptation in red spruce and identify environmental gradients and loci involved in climate adaptation. We first use climate transfer functions to estimate the impact of climate change on seedling performance in three common gardens. We then explore the use of multivariate gene-environment association methods to identify genes underlying climate adaptation, with particular attention to the implications of conducting genome scans with and without correction for neutral population structure. This integrative approach uncovered phenotypic evidence of local adaptation to climate and identified a set of putatively adaptive genes, some of which are involved in three main adaptive pathways found in other temperate and boreal coniferous species: drought tolerance, cold hardiness, and phenology. These putatively adaptive genes segregated into two 'modules' associated with different environmental gradients. This study nicely exemplifies the multivariate dimension of adaptation to climate in trees.

Indexed as

Adaptation, PhysiologicalPiceaAcclimatizationClimate ChangeTreesadaptive genesclimate transfer distanceconifergenome scangenotype-environment associationPicea rubens

Identifiers

PMID36068997
PMCPMC10092705
OpenAlexW4294919174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.