Evidence map›Paper›PMID 36324064›Full record

ArticleBMC plant biology2022

TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis).

Yanlin An, Xiaoqin Zhang, Sixia Jiang, Jingjing Zhao, Feng Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yanlin AnDepartment of Food Science and Engineering, Moutai Institute, Luban Street, Renhuai, 564502, Guizhou, People's Republic of China.
Xiaoqin ZhangDepartment of Food Science and Engineering, Moutai Institute, Luban Street, Renhuai, 564502, Guizhou, People's Republic of China.
Sixia JiangDepartment of Food Science and Engineering, Moutai Institute, Luban Street, Renhuai, 564502, Guizhou, People's Republic of China.
Jingjing ZhaoDepartment of Food Science and Engineering, Moutai Institute, Luban Street, Renhuai, 564502, Guizhou, People's Republic of China.
Feng ZhangDepartment of Food Science and Engineering, Moutai Institute, Luban Street, Renhuai, 564502, Guizhou, People's Republic of China. nkzhangfeng@163.com.ORCID http://orcid.org/0000-0001-8440-5571
Guizhou Institute of Technology · CN

Funding

the National Natural Science Foundation of China 32160441
6 · The paper itself

Abstract

Genome variation not only plays an important role in plant phenotypic modeling and adaptive evolution, but also enhances population genetic diversity and regulates gene expression. The tea tree (Camellia sinensis) has a large genome (~ 3.0 Gb), making the identification of genome-wide variants time-consuming and expensive. With the continuous publication of a large number of different types of population sequencing data, there is a lack of an open platform to integrate these data and identify variants in the tea plant genome.To integrate the genetic variation confidence in the tea plant population genome, 238 whole-genome resequencing, 213 transcriptome sequencing, and 96 hybrid F1 individuals with a total of more than 20 Tb were collected for mutation site identification. Based on these variations information, we constructed the first tea tree variation web service database TeaPVs ( http://47.106.184.91:8025/ and http://liushang.top:8025/ ). It supports users to search all SNP, Indel, SV mutations and SSR/Polymorphic SSR sequences by location or gene ID. Furthermore, the website also provides the functions of gene expression search of different transcriptome, sequence blast, sequence extraction of CDS and mutation loci, etc.The features of the TeaPVs database make it a comprehensive tea plant genetic variation bioinformatics platform for researchers, and will also be helpful for revealing new functional mutations in the tea plant genome and molecular marker-assisted breeding.

Indexed as

Camellia sinensisGenome, PlantGenomicsPlant BreedingTeaTeaDatabaseGenome and transcriptomeResequenceTea plantVariations

Identifiers

PMID36324064
PMCPMC9632082
OpenAlexW4307983003

What OpenQuestion holds

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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.