Evidence map›Paper›PMID 32206447›Full record

ArticlePeerJ2020

Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing.

Suzhen Niu, Hisashi Koiwa, Qinfei Song, Dahe Qiao, Juan Chen, Degang Zhao, Zhengwu Chen, Ying Wang, Tianyuan Zhang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. 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
3.2field-weighted citation impact, top 8% 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, 31 citations in OpenAlex.

  1. ddRAD sequencing of 1076Plant diversity · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

9 authors at 4 institutions in 2 countries.

Suzhen NiuGuiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Hisashi KoiwaVegetable and Fruit Improvement Center, Department of Horticultural Sciences, Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, Texas, USA.
Qinfei SongThe Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, China.
Dahe QiaoGuiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Juan ChenGuiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Degang ZhaoGuiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Zhengwu ChenGuiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Ying WangWuhan Benagen Tech Solutions Company Limited, Wuhan, China.
Tianyuan ZhangWuhan Benagen Tech Solutions Company Limited, Wuhan, China.
Guizhou Academy of Agricultural Sciences · CNFiberhome Technology Group (China) · CNGuizhou University · CNTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An accurate depiction of the genetic relationship, the development of core collection, and genome-wide association analysis (GWAS) are key for the effective exploitation and utilization of genetic resources. Here, genotyping-by-sequencing (GBS) was used to characterize 415 tea accessions mostly collected from the Guizhou region in China. A total of 30,282 high-quality SNPs was used to estimate the genetic relationships, develop core collections, and perform GWAS. We suggest 198 and 148 accessions to represent the core set and mini-core set, which consist of 47% and 37% of the whole collection, respectively, and contain 93-95% of the total SNPs. Furthermore, the frequencies of all alleles and genotypes in the whole set were very well retained in the core set and mini-core set. The 415 accessions were clustered into 14 groups and the core and the mini-core collections contain accessions from each group, species, cultivation status and growth habit. By analyzing the significant SNP markers associated with multiple traits, nine SNPs were found to be significantly associated with four leaf size traits, namely MLL, MLW, MLA and MLSI (

Indexed as

Core CollectionsGBSGWASLeaf SizeTea Plant

Identifiers

PMID32206447
PMCPMC7075365
OpenAlexW3012078938

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.