Evidence map›Paper›PMID 37046207›Full record

ArticleBMC plant biology2023

Genome-wide association study of leaf-related traits in tea plant in Guizhou based on genotyping-by-sequencing.

Yanjun Chen, Suzhen Niu, Xinyue Deng, Qinfei Song, Limin He, Dingchen Bai, Yingqin He

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Mining ofHorticulture research · 2026
    Article
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  8. Pigment Diversity in Leaves ofInternational journal of molecular sciences · 2024
    Article
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  10. Article
  11. Application of Multi-Perspectives in Tea Breeding and the Main Directions.International journal of molecular sciences · 2023
    Review
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

7 authors at 1 institution in 1 country.

Yanjun ChenCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Suzhen NiuCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China. niusuzhen@163.com.
Xinyue DengSchool of Architecture, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Qinfei SongCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Limin HeCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Dingchen BaiCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Yingqin HeCollege of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Guizhou University · CN

Funding

Science and Technology Plan Project of Guizhou province, in RP China [2021] General 126the key field project of Natural Science Foundation of Guizhou Provincial Department of education KY [2021] 042the National key R & D plan 2021YFD1200203-1the National Science Foundation, in RP China 32060700
6 · The paper itself

Abstract

backgroundStudying the genetic characteristics of tea plant (Camellia spp.) leaf traits is essential for improving yield and quality through breeding and selection. Guizhou Plateau, an important part of the original center of tea plants, has rich genetic resources. However, few studies have explored the associations between tea plant leaf traits and single nucleotide polymorphism (SNP) markers in Guizhou.

resultsIn this study, we used the genotyping-by-sequencing (GBS) method to identify 100,829 SNP markers from 338 accessions of tea germplasm in Guizhou Plateau, a region with rich genetic resources. We assessed population structure based on high-quality SNPs, constructed phylogenetic relationships, and performed genome-wide association studies (GWASs). Four inferred pure groups (G-I, G-II, G-III, and G-IV) and one inferred admixture group (G-V), were identified by a population structure analysis, and verified by principal component analyses and phylogenetic analyses. Through GWAS, we identified six candidate genes associated with four leaf traits, including mature leaf size, texture, color and shape. Specifically, two candidate genes, located on chromosomes 1 and 9, were significantly associated with mature leaf size, while two genes, located on chromosomes 8 and 11, were significantly associated with mature leaf texture. Additionally, two candidate genes, located on chromosomes 1 and 2 were identified as being associated with mature leaf color and mature leaf shape, respectively. We verified the expression level of two candidate genes was verified using reverse transcription quantitative polymerase chain reaction (RT-qPCR) and designed a derived cleaved amplified polymorphism (dCAPS) marker that co-segregated with mature leaf size, which could be used for marker-assisted selection (MAS) breeding in Camellia sinensis.

conclusionsIn the present study, by using GWAS approaches with the 338 tea accessions population in Guizhou, we revealed a list of SNPs markers and candidate genes that were significantly associated with four leaf traits. This work provides theoretical and practical basis for the genetic breeding of related traits in tea plant leaves.

Indexed as

Camellia sinensisGenome-Wide Association StudyChromosome MappingGenotypePhenotypePhylogenyPlant BreedingPlant LeavesPolymorphism, Single NucleotideTeaTeaCandidate genesGenome-wide association study (GWAS)Genotyping-by-sequencing (GBS)Leaf traitsSingle nucleotide polymorphism (SNP)Tea plant

Identifiers

PMID37046207
PMCPMC10091845
OpenAlexW4365149343

What Socratic 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 Socratic graph.