Evidence map›Paper›PMID 30482158›Full record

ArticleBMC plant biology2018

Adaptive genetic differentiation in Pterocarya stenoptera (Juglandaceae) driven by multiple environmental variables were revealed by landscape genomics.

Jia-Xin Li, Xiu-Hong Zhu, Yong Li, Ying Liu, Zhi-Hao Qian, Xue-Xia Zhang, Yue Sun, Liu-Yang Ji

Abstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

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  5. Genetic structure and local adaptation ofFrontiers in plant science · 2025
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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.

Jia-Xin LiInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
Xiu-Hong ZhuInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
Yong LiInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China. liyongrui1@126.com.
Ying LiuGuangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-Sen University, No.135, Xingang Xi Road, Guangzhou, 510275, China.
Zhi-Hao QianInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
Xue-Xia ZhangInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
Yue SunInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
Liu-Yang JiInnovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe investigation of the genetic basis of local adaptation in non-model species is an interesting focus of evolutionary biologists and molecular ecologists. Identifying these adaptive genetic variabilities on the genome responsible can provide insight into the genetic mechanism of local adaptation.

resultsWe investigated the spatial distribution of genetic variation in 22 natural populations of Pterocarya stenoptera across its distribution area in China to provide insights into the complex interplay between multiple environmental variables and adaptive genetic differentiation. The Bayesian analysis of population structure showed that the 22 populations of P. stenoptera were subdivided into two groups. Redundancy analysis demonstrated that this genetic differentiation was caused by the divergent selection of environmental difference. A total of 44 outlier loci were mutually identified by Arlequin and BayeScan, 43 of which were environment-associated loci (EAL). The results of latent factor mixed model analysis showed that solar radiation in June (Sr6), minimum temperature of the coldest month (Bio6), temperature seasonality (Bio4), and water vapor pressure in January (Wvp1) were associated with the highest numbers of EAL. Sr6 was associated with the ecological habitat of "prefered light", and Bio6 and Wvp1 were associated with the ecological habitat of "warm and humid environment".

conclusionsOur results provided empirical evidence that environmental variables related to the ecological habitats of species play key roles in driving adaptive differentiation of species genome.

Indexed as

Gene-Environment InteractionGenetic VariationAdaptation, PhysiologicalChinaGenetic MarkersGenetics, PopulationGenome, PlantJuglandaceaeGenetic MarkersAdaptive genetic differentiationEnvironment-associated lociGenome scansLandscape genomicsPterocarya stenoptera

Identifiers

PMID30482158
PMCPMC6260741

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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.