Evidence map›Paper›PMID 38438905›Full record

ArticleBMC plant biology2024

Ensemble species distribution modeling and multilocus phylogeography provide insight into the spatial genetic patterns and distribution dynamics of a keystone forest species, Quercus glauca.

Ying Song, Gang-Biao Xu, Ke-Xin Long, Chun-Cheng Wang, Ran Chen, He Li, Xiao-Long Jiang, Min Deng

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spatiotemporal genomic patterns ofForestry research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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.

Ying SongCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Gang-Biao XuCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Ke-Xin LongCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Chun-Cheng WangCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Ran ChenCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
He LiCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Xiao-Long JiangCollege of Forestry, The Laboratory of Forestry Genetics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China. xiaolongjiang1@gmail.com.
Min DengSchool of Ecology and Environmental Sciences, Yunnan University, Kunming, Yunnan, 650500, China. dengmin@ynu.edu.cn.

Funding

National Natural Science Foundation of China 31700174National Natural Science Foundation of China 31972858Natural Science Foundation of Hunan Province 2022JJ40861Scientific Research Fund of Hunan Provincial Education Department 21A0158
6 · The paper itself

Abstract

backgroundForests are essential for maintaining species diversity, stabilizing local and global climate, and providing ecosystem services. Exploring the impact of paleogeographic events and climate change on the genetic structure and distribution dynamics of forest keystone species could help predict responses to future climate change. In this study, we combined an ensemble species distribution model (eSDM) and multilocus phylogeography to investigate the spatial genetic patterns and distribution change of Quercus glauca Thunb, a keystone of East Asian subtropical evergreen broad-leaved forest.

resultsA total of 781 samples were collected from 77 populations, largely covering the natural distribution of Q. glauca. The eSDM showed that the suitable habitat experienced a significant expansion after the last glacial maximum (LGM) but will recede in the future under a general climate warming scenario. The distribution centroid will migrate toward the northeast as the climate warms. Using nuclear SSR data, two distinct lineages split between east and west were detected. Within-group genetic differentiation was higher in the West than in the East. Based on the identified 58 haplotypes, no clear phylogeographic structure was found. Populations in the Nanling Mountains, Wuyi Mountains, and the southwest region were found to have high genetic diversity.

conclusionsA significant negative correlation between habitat stability and heterozygosity might be explained by the mixing of different lineages in the expansion region after LGM and/or hybridization between Q. glauca and closely related species. The Nanling Mountains may be important for organisms as a dispersal corridor in the west-east direction and as a refugium during the glacial period. This study provided new insights into spatial genetic patterns and distribution dynamics of Q. glauca.

Indexed as

EcosystemQuercusClimate ChangeForestsPhylogeographyClimate changeDispersal corridorOakSpatial genetic patternSubtropical evergreen broad-leaved forest

Identifiers

PMID38438905
PMCPMC10910841

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.