Evidence map›Paper›PMID 37071624›Full record

ArticlePloS one2023

Genetic diversity of the wild ancient tea tree (Camellia taliensis) populations at different altitudes in Qianjiazhai.

Fei Wang, Xiaomao Cheng, Shoumeng Cheng, Wanting Li, Xiaoxia Huang

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Stand Structure Extraction and Analysis ofPlants (Basel, Switzerland) · 2025
    Article
  6. Population Substructures ofPlants (Basel, Switzerland) · 2025
    Article
  7. Article
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  9. Article
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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

5 authors.

Fei WangAncient Tea Resources Reserve and Utilization Research Center of Yunnan Province, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming, China.
Xiaomao ChengAncient Tea Resources Reserve and Utilization Research Center of Yunnan Province, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming, China.
Shoumeng ChengAncient Tea Resources Reserve and Utilization Research Center of Yunnan Province, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming, China.
Wanting LiChengdu Institute of Biology, University of Chinese Academy of Sciences, Chengdu, China.
Xiaoxia HuangAncient Tea Resources Reserve and Utilization Research Center of Yunnan Province, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming, China.ORCID 0000-0003-3086-7900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the genetic diversity and population structure of 4 wild ancient tea tree (Camellia taliensis) populations at different altitudes (2,050, 2,200, 2,350, and 2,500 m) in Qianjiazhai Nature Reserve, Zhenyuan country, Yunnan province, were investigated using EST-SSR molecular markers to compare their genetic variation against altitude. In total, 182 alleles were detected across all loci, ranging from 6 to 25. The top one informative SSR was CsEMS4 with polymorphism information content (PIC) of 0.96. The genetic diversity of this species was high, with 100% of loci being polymorphic, an average Nei's gene diversity (H) of 0.82, and Shannon's information index (I) of 1.99. By contrast, at the population level, the genetic diversity of wild ancient tea tree was relatively low, with values of H and I being 0.79 and 1.84, respectively. Analysis of molecular variance (AMOVA) revealed a minor genetic differentiation (12.84%) among populations, and most of the genetic variation (87.16%) was detected within populations. Using population structure analysis, we found that the germplasm of wild ancient tea tree was divided into three groups, and there was a substantial gene exchange among these three groups at different altitudes. Divergent habitats caused by altitudes and high gene flow played important roles in genetic diversity of wild ancient tea tree populations, which will provide new opportunities for promoting their protection and potential utilization.

Indexed as

CamelliaAltitudeChinaGenetic VariationHumansMicrosatellite RepeatsPhylogenyTeaTreesTea

Identifiers

PMID37071624
PMCPMC10112783

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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.