Evidence map›Paper›PMID 39457441›Full record

ArticleGenes2024

Simple Sequence Repeat Marker-Based Genetic Diversity and Chemical Composition Analysis of Ancient

Haitao Huang, Shuwen He, Xuxia Zheng, Daliang Shi, Peixian Bai, Yun Zhao, Jizhong Yu, Xiaojun Niu

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Haitao HuangTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.ORCID 0000-0003-2386-4859
Shuwen HeCollege of Horticulture, Henan Agricultural University, Zhengzhou 450002, China.
Xuxia ZhengTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Daliang ShiTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Peixian BaiTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Yun ZhaoTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Jizhong YuTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Xiaojun NiuTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.

Funding

Cooperation Project of Hangzhou City and Chinese Academy of Agricultural Sciences in 2021-Key Technologies and Innovative Application of Inheritance and Protection of Xihu Longjing Tea 2021HN58-01The National Tea Industry Technology System CARS 19-03AThe Science and Technology Innovation and Demonstration and Promotion Fund of Hangzhou Academy of Agricultural Sciences 2022HNCT-04Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding-Tea Plant 2021C02067-4
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe ancient tea plant germplasm resources are rich in genetic diversity and provide an important basis for the genetic diversity in tea germplasm resources. To explore the genetic diversity of ancient tea plant germplasm resources in Jiulong County, Sichuan Province.

methods59 ancient tea tree germplasm resources were analyzed using simple sequence repeat (SSR) molecular markers and chemical composition analysis.

resultsThe results showed that a total of 83 alleles were amplified by 23 pairs of SSR primers, with an average observed allele number (

conclusionsThis study reveals that Jiulong's ancient tea tree germplasm exhibits significant genetic diversity and includes valuable tea tree planting resources. These findings provide a foundational framework for the conservation, detailed exploration and sustainable utilization of these resources.

Indexed as

Camellia sinensisMicrosatellite RepeatsAllelesChinaGenetic VariationPhylogenyPolymorphism, Geneticancient tea plantgenetic diversityidentification resourceSSR markers

Identifiers

PMID39457441
PMCPMC11507482

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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.