Evidence map›Paper›PMID 25585921›Full record

ArticleHeredity2015

Geographical barriers and climate influence demographic history in narrowleaf cottonwoods.

L M Evans, G J Allan, S P DiFazio, G T Slavov, J A Wilder, K D Floate, S B Rood, T G Whitham

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

L M EvansDepartment of Biological Sciences, Environmental Genetics and Genomics Facility (EnGGen), Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, AZ, USA.
G J AllanDepartment of Biological Sciences, Environmental Genetics and Genomics Facility (EnGGen), Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, AZ, USA.
S P DiFazioDepartment of Biology, West Virginia University, Morgantown, WV, USA.
G T SlavovInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
J A WilderDepartment of Biological Sciences, Environmental Genetics and Genomics Facility (EnGGen), Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, AZ, USA.
K D FloateLethbridge Research Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada.
S B RoodDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada.
T G WhithamDepartment of Biological Sciences, Environmental Genetics and Genomics Facility (EnGGen), Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, AZ, USA.
Agriculture and Agri-Food Canada · CAInstitute of Biological, Environmental and Rural Sciences · GBUniversity of Lethbridge · CAWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of genetic variation can clarify the role of geography and spatio-temporal variation of climate in shaping demography, particularly in temperate zone tree species with large latitudinal ranges. Here, we examined genetic variation in narrowleaf cottonwood, Populus angustifolia, a dominant riparian tree. Using multi-locus surveys of polymorphism in 363 individuals across the species' 1800 km latitudinal range, we found that, first, P. angustifolia has stronger neutral genetic structure than many forest trees (simple sequence repeat (SSR) FST=0.21), with major genetic groups corresponding to large apparent geographical barriers to gene flow. Second, using SSRs and putatively neutral sequenced loci, coalescent simulations indicated that populations diverged before the last glacial maximum (LGM), suggesting the presence of population structure before the LGM. Third, the LGM and subsequent warming appear to have had different influences on each of these distinct populations, with effective population size reduction in the southern extent of the range but major expansion in the north. These results are consistent with the hypothesis that climate and geographic barriers have jointly affected the demographic history of P. angustifolia, and point the importance of both factors as being instrumental in shaping genetic variation and structure in widespread forest trees.

Indexed as

Genetics, PopulationGenetic VariationGene FlowGeographyMicrosatellite RepeatsMolecular Sequence DataPolymorphism, Single NucleotidePopulation DynamicsPopulusSouthwestern United States

Identifiers

PMID25585921
PMCPMC4359977
OpenAlexW2078378447

What OpenQuestion holds

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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.