Evidence map›Paper›PMID 28835216›Full record

ArticleBMC evolutionary biology2017

Landscape genomics reveal that ecological character determines adaptation: a case study in smoke tree (Cotinus coggygria Scop.).

Cai-Yun Miao, Yong Li, Jie Yang, Run-Li Mao

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Extraction Components and Dyeing Effect ofMaterials (Basel, Switzerland) · 2026
    Article
  3. Changes in the Suitable Habitat of the Smoke Tree (Plants (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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

4 authors.

Cai-Yun MiaoCollege of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
Yong LiCollege of Forestry, Henan Agricultural University, Zhengzhou, 450002, China. liyongrui1@126.com.ORCID 0000-0003-1770-682X
Jie YangCollege of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
Run-Li MaoCollege of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adaptive evolution of species response to environment are the key issues in molecular ecology and evolutionary biology. The direction of adaptive differentiation of species in regions lacking strong selection pressure is usually diverse. However, the driving mechanism of the diverse adaptive differentiation for regional species is still undetermined to date. In this study, we used landscape genomics modelling to infer the adaptive evolution of Cotinus coggygria in China's warm-temperate zone.

resultsUsing fifteen natural populations and nine start codon targeted (SCoT) markers, a total of 1131 unambiguous loci were yielded. Our results showed two genetic groups existed in the fifteen natural populations of C. coggygria, which is due to the divergent selection driven by six environmental factors. Environmental association analyses revealed the environmental variables related to precipitation were associated with high numbers of environment-associated loci.

conclusionsOur results indicated that the ecological characters of C. coggygria, i.e. avoiding wetness and tolerating drought, determine its adaptive evolution. This study provides a reference that ecological character determines the adaptive evolution of species in regions lacking strong selection pressure.

Indexed as

EcosystemGenomicsAdaptation, PhysiologicalAnacardiaceaeChinaGenetic VariationGeographyTreesAdaptationCotinus coggygriaEcological characterLandscape genomicsSCoT marker

Identifiers

PMID28835216
PMCPMC5569454

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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.