Evidence map›Paper›PMID 41281313›Full record

ArticleFrontiers in plant science2025

Genetic diversity and core collection of Polygonati Rhizoma in China via SSR markers.

MingYu Zhu, XinChang Zhu, YuLing Zeng, Wei Li, Xuan Wen, Yang Mei, ChuTong Huang, ZhiGang Hu, Lin Sen

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

MingYu Zhu *College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
XinChang Zhu *College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
YuLing ZengCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Wei LiCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Xuan WenCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Yang MeiCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
ChuTong HuangCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
ZhiGang HuCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Lin SenCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Polygonati Rhizoma is a Traditional Chinese medicine derived from three species of the Methods: To address this, we employed 18 highly polymorphic SSR markers to develop two machine learning models for species discrimination. Subsequently, we performed comprehensive population genetic analyses on 175 accessions, followed by core germplasm construction. Results: The study demonstrated that the machine learning-based approach achieved consistently high discrimination accuracy, exceeding 81% for Discussion: These findings provide a robust foundation for the conservation of medicinal Polygonatum spp. germplasm and offer potential resources for future genetic improvement and variety selection.

Indexed as

core collectiongenetic diversityPolygonati RhizomaSSR fluorescent markersSSR markers

Identifiers

PMID41281313
PMCPMC12631632

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